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Agricultural Development in Uzbekistan: The Effect of Ongoing Reforms

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Agricultural transition in Uzbekistan, as in all CIS countries, is driven by a process of land reform, which involves redistribution of land among producers and concomitant changes in farm structure. In this article we review the process of land reform since Uzbekistan’s independence and examine its impacts on agricultural growth and rural family incomes. The analysis is based on official statistics and data from a farm-level survey carried out in 2007.
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םילשוריב תירבעה הטיסרבינואה
The Hebrew University of Jerusalem
להנמו תיאלקח הלכלכל הקלחמה
The Department of Agricultural
Economics and Management
תיאלקח הלכלכב רקחמל זכרמה
The Center for Agricultural
Economic Research
Discussion Paper No. 7.08
Agricultural Development in Uzbekistan:
The Effect of Ongoing Reforms
by
Zvi Lerman
םיאצמנ הקלחמה ירבח לש םירמאמ
םהלש תיבה ירתאב םג:
Papers by members of the Department
can be found in their home sites:
http://departments.agri.huji.ac.il/economics/indexe.html
ת.ד .12 , תובוחר76100
P.O. Box 12, Rehovot 76100
1
Agricultural Development in Uzbekistan: The Effect of Ongoing
Reforms1
Zvi Lerman
Department of Agricultural Economics and Management, The Hebrew University of Jerusalem, Israel
Agricultural transition in Uzbekistan, as in all CIS countries, is driven by a process of land reform, which
involves redistribution of land among producers and concomitant changes in farm structure. In this
article we review the process of land reform since Uzbekistan’s independence and examine its impacts
on agricultural growth and rural family incomes. The analysis is based on official statistics and data from
a farm-level survey carried out in 2007.
1. The importance of agriculture in Uzbekistan
Despite its mineral riches, Uzbekistan is a highly agrarian country, with its rural population at more than
60% and agriculture accounting for around 30% of both employment and GDP. As is typical of
economies dependent on agriculture, Uzbekistan has low income per capita: $2,250 compared with
nearly $12,000 for Russia (PPP equivalents, 2006 data from World Development Indicators). The low
income and the high agrarian profile justify and drive the efforts for agricultural reform in the hope of
improving the population’s well being.
Figure 1.1. Share of rural population and
share of agriculture in employment 1980-
2006.
In terms of developments over time, the share of agriculture in GDP has fluctuated between 20% and
30% since 1995, showing a definite downward trend during the last few years. The share of rural
population, on the other hand, is steadily increasing over time due to higher population growth rates in
rural areas (from a constant 60% up to 1990 to 64% in 2004-2006; Figure 1.1, gray curve). The share of
1 This article is an outgrowth of analytical work carried out during the period June 2007-May 2008 under the
auspices of UNDP/Tashkent and Mashav Division for International Cooperation in Israel’s Ministry of Foreign
Affairs. Sections 1-3 rely on data from official publications of the State Statistical Committee of Uzbekistan (see list
of references at the end); the data in Section 4 are from the farm-level survey carried out for UNDP in August 2007
by Tahlil Sociological Research Organization in Tashkent. The opinions expressed in this article are solely the
author’s.
1980 1985 1990 1995 2000 2005
0
10
20
30
40
50
60
70 percent
labor share
rural pop
2
agricultural employment also remained steady at 40% up to 1990, but after a slight increase (to 45%) in
the first years of transition (1991-1993) the trend changed to a downward slide. The share of agriculture
in total employment had dropped to 28% by 2006 (Figure 1.1, black curve). Usually, rural population and
agricultural employment rise hand in hand, and the opposing trends in Uzbekistan since 1993 are a
puzzle.
Agriculture in Uzbekistan is critically dependent on water. Crop production and most of livestock
production (with the exception of the karakul sheep grazing in the desert) is confined mainly to irrigated
areas. All cotton is grown under irrigation, and grain production largely shifted to irrigated lands in the
1970s. The share of dry farming declined over the years, and it accounts for less than 20% of arable land
today. The rapid population growth necessitated continuous expansion of irrigated areas over the years.
The total area under irrigation increased from 2.2 million hectares in 1953 to 4 million hectares in 1985
(Figure 1.2). The expansion of irrigation accelerated after 1970, and peak growth was achieved in the
decade 1976-1985, when the irrigated area was growing at an average rate of 90,000 hectares per year.
The introduction of new irrigated lands slowed down considerably after 1985 (to about 30,000 hectares
per year) and stopped almost completely after independence. This slowdown in the last twenty years
was due not only to increasingly acute budget constraints, but also to the realization that the potential
for irrigation expansion had been largely exhausted and new reclaimed areas were of marginal quality
for agriculture. The irrigated area has remained static at 4.2 million hectares since 1990.
Figure 1.2. Growth of irrigated land in
Uzbekistan 1965-2005.
Huge glaciers covering more than 8,000 sq. km in the high mountains in the East are the main store of
water for Uzbekistan: glacier-fed rivers and mountain streams rising mainly in Tajikistan and Kyrgyzstan
provide more than 95% of the water used for irrigation. The groundwater resources do not contribute
significantly to the total supply of irrigation water, and groundwater is mostly used to water desert
pastures from wells. Water is pumped from reservoirs, and also directly from the two major rivers of
Amu Darya and Syr Darya, in quantities fixed by multilateral agreements with Uzbekistan’s neighbors.
Water has always been regarded as a nationally owned resource, and the irrigation system is built, run,
and operated by the state. The volume of water needed to irrigate crops is set by scientists working in
research institutes, and not by farmers who produce the crops. The government absorbs the cost of
delivery through the regional canal network, and farms pay today 10,000-20,000 som ($7.5-$15) per
hectare per year for irrigation water.
1965 1970 1975 1980 1985 1990 1995 2000 2005
0
1
2
3
4
5million ha
Irrigated
3
2. The legislative framework for agrarian reform
Inherited structure
Agriculture in Uzbekistan, as in all other Soviet republics, was traditionally organized in a dual system, in
which large-scale collective and state farms coexisted in a symbiotic relationship with quasi-private
individual farming on subsidiary household plots. The large-scale farms were the backbone of
commercial agriculture, feeding agricultural products into the state-controlled distribution system. Yet
the subsidiary household plots produced much in excess of their subsistence needs, and typically sold
their surplus products to the local large-scale farm, to the state-controlled consumer coop network, and
partly also in nearby towns, where the bazaar was a well-established traditional institution. While
cultivating only 3% of arable land, the household plots consistently accounted for 20%-25% of gross
agricultural product in Uzbekistan during the last decades of the Soviet era, a much higher proportion
than their share of land. This was accomplished mainly by concentration in livestock production. Since
1970, the households in Uzbekistan had more cattle in absolute numbers than the collective and state
farms combined.
In addition to livestock production, the small household plots specialized in labor intensive horticulture,
producing 30% of the total output of potatoes, 45% of vegetables, and 60% of fruits and berries during
the decade 1980-1989. Scale crops requiring purchased inputs and mechanization, such as cotton and
grain, were grown mainly by collective and state farms. Thus, up to 1990, household plots produced
about 5% of grain (mainly as feed for their animals) and no cotton. This specialization within the dual
agriculture was to a large extent the result of a conscious government strategy, because in many
countries cotton is grown by smallholders without sophisticated machinery. The emphasis on large-scale
cotton fields and mechanical picking (57% of all cotton in 1990 was picked by machines) was an outcome
of Soviet ideology for industrialization of agriculture.
The process of land reform
The current phase of agricultural reform in Uzbekistan began in 1989, more than two years before
independence, as a natural extension and adaptation of Gorbachev’s centrally initiated attempt to
increase food production and improve farm efficiency. The 1989 legislation proceeded in the dual track
of giving more land to households and encouraging restructuring of large-scale farms for better
efficiency. Over less than two years, the total area in the household sector increased by 60% from 250
thou. ha to 400 thou. ha as the maximum plot size on irrigated land was raised to 0.25 ha from pre-1990
norms of 0.16 ha in collective farms and 0.08 ha in state farms. This initial phase of the reform process
also spelled out the first principles of farm restructuring through creation of autonomously operating
subdivisions and intra-farm family leaseholds in large-scale collective and state farms, which were now
allowed to lease land to families of workers and groups of families (Land Law, 1990). First examples of a
fundamentally new farm structure the peasant farm began to emerge in 1991, as members of large-
scale collective and state farms were given the option of exiting with their share of land and assets to
embark on independent private farming outside the existing collectivist framework. This new form of
family farm received legal recognition in the Law of Peasant Farms adopted in July 1992, which led to a
rapid increase in the number of registered peasant farms from less than 2,000 in 1990-1991 to 50,000 in
2000-2001 and then to nearly 200,000 in 2006. The average size of peasant farms doubled over the
years, rising from less than 10 hectares in the early 1990 to about 20 hectares of arable land in the early
2000s (comparable to the average farm of 20 ha in Ukraine and 40 ha in Russia).
4
The early reforms culminated with the adoption of a new Land Code in April 1998, which reaffirmed the
Soviet tradition of exclusive state ownership of all land while introducing significant measures of land
tenure and farm structure reform.
Ownership and tenure of land
While already the pre-independence legislation encouraged changes in land tenure and farm
organization, all land remained property of the state. The principle of state ownership of land, which
prevailed in Russia and the original Soviet republics since October 1917, was adopted in Uzbekistan in
December 1925. After independence exclusive state ownership of land was incorporated in the new
Uzbek Constitution of December 1992 and subsequently reiterated in the 1998 Land Code. Agricultural
land is allocated to the users by the state, but without any rights of transfer. Land held by families in
lifetime inheritable possession cannot be sold, given away as a gift, or exchanged; land leased from the
state by individual users cannot be subleased (a form of subleasing “intrafarm leasing” – is allowed
only to worker families within a shirkat). Users pay for the use of state-owned land in the form of land
tax of lease payments, but no “downpayment” is required when land is allocated.
The official rationale against private ownership of land is two-fold: first, it includes the universal
argument of the need to avoid speculation in land and accumulation of large tracts in the hands of
absentee owners; second, it relies on the specific Uzbek reality, where land is useless without water, and
water is a national resource delivered by a state-run irrigation system. In retaining exclusive state
ownership of land, Uzbekistan followed what was the accepted practice among most of its Central Asian
neighbors in the early 1990s and consciously departed from the policy of other large republics of the
former Soviet Union Russia and Ukraine, which legalized private (individual and collective) ownership
of land alongside state ownership. In 2008, however, Uzbekistan remains one of only two countries in
the entire former Soviet Union in which all agricultural land is state owned (Tajikistan is the second;
Belarus retains state ownership of agricultural land intended for commercial farming, but recognizes
private ownership of household plots). This situation is about to change very slightly in 2008, as in the
future it will be possible to privatize land allocated to household plots for purposes of construction.
Land is the only productive asset in Uzbekistan that cannot be owned privately (by individuals or
collectives). The new constitution declared that “the economy of Uzbekistan, evolving towards market
relations, is based on various forms of ownership.” It explicitly allowed “private property, along with
other types of property.” The Law of Property, as amended in May 1994, recognizes three main forms of
ownership. These are private property, collective (shirkat) property, and state property (including
municipal). Property of foreign investors and international organizations is introduced as a distinct,
fourth category. Private property in Uzbek law is the property of individuals. The definition of collective
property is broader than usual: it includes partnerships, cooperatives, joint-stock companies, and all
shareholder structures in general.
The sweeping universal restrictions on transactions in land prevent the emergence of land markets and
place Uzbekistan among a rapidly shrinking minority of former Soviet republics that adhere to non-
market mechanisms of land management. Tajikistan, despite maintaining state ownership of agricultural
land, has made land use rights transferable and Turkmenistan, recognizing notional private ownership of
land, is the only other Central Asian country that still prohibits all land transactions. Uzbekistan’s other
neighbors, Kazakhstan and Kyrgyzstan, recognize private land ownership and allow relatively
unrestricted transactions in land. In other former Soviet republics, such as Russia, Ukraine, Moldova, and
the Transcaucasus states, the initially imposed restrictions on transactions have been largely eliminated.
5
In the absence of functioning land markets users cannot adjust the size of their holdings at will: they
cannot easily acquire additional land so as to increase production; nor can inactive users dispose of their
unnecessary land by transferring it to more active or efficient users. In the present situation, for
instance, livestock farmers facing shortage of arable land for feed crops cannot turn to elderly or infirm
neighbors and lease their land for crop production. Absence of land markets as a medium for transfer of
land among users is a serious constraints to improving the efficiency of agriculture.
Changing farm structure
The 1998 Land Code recognized three types of farms or agricultural producers in Uzbekistan: the
traditional household plots were renamed “dekhkan farms”; the large-scale collective and former state
farms were classified as agricultural production cooperatives (shirkats), although other organizational
forms joint-stock societies, limited liability companies, partnerships, etc. were also allowed in
agriculture; a new category of peasant farms (fermerskie khozyaistva) was introduced between the small
dekhkan farms and the large-scale shirkats. Each of these organizational forms received a special law of
its own, and the three new laws the Law of Dekhkan Farms, the Law of Peasant Farms, and the Law of
Shirkats were passed simultaneously with the Land Code in April 1998. The main characteristics of the
three farm types are summarized in Table 2.1.
Table 2.1. Main characteristics of farms of different types in Uzbekistan
Dekhkan farms
Shirkats (agricultural enterprises)
Definition
A partially commercial
farm based on a
household plot
A large-scale corporate farms
based on membership shares
with private ownership of assets
Labor
Family members
Members, hired workers
Land allocation
Arable land in the
village
Prime agricultural land around
villages
Land tenure
Lifetime inheritable
possession
Permanent possession for
agricultural purposes
Owners
Workers of
agricultural
enterprises, rural
employees,
pensioners
Members-shareholders
Production
specialization
Vegetables, livestock
Mainly scale crops (wheat,
cotton)
Shirkats and other agricultural enterprises can be characterized as corporate farms, while dekhkan farms
and peasant farms are two components of the individual or family farm sector. The main difference
between these two components of the individual farming sector is mainly that of size: while dekhkan
farms have 0.2 ha of land, an average peasant farm has around 15 ha. Another formal difference is that
members of peasant farms are self-employed, while household plots are run by families whose members
typically also have a job in some agricultural or non-agricultural organization. These two factors are
probably sufficient to account for deep behavioral and psychological differences between the two types
of farming.
6
A third important difference between dekhkan and peasant farms is linked to specific land tenure
arrangements in Uzbekistan. Peasant farmers lease their land from the state, and the lease contracts
specify the exact areas that have to be sown to cotton and wheat the country’s two strategic crops for
which state orders are maintained. The 1998 Law of Peasant Farms further stipulates that leased land
should be cultivated with due diligence so as to yield a certain minimum harvest of cotton and wheat per
hectare. Presidential Decree 3342 accompanying the new strategy for the development of peasant farms
(October 2003) states bluntly that any deviation from the sowing pattern prescribed in the land lease
contract is a grave violation constituting grounds for termination of the farm’s lease. Through these
tenure-linked obligations the peasant farmers actually inherited the burden of fulfilling the state orders
for cotton and wheat that had been traditionally borne by collective and state farms and more recently
by shirkats. Peasant farmers have become the state’s official suppliers of these strategic commodities.
Dekhkan farmers, on the other hand, are free from state orders. They receive their land in lifetime
inheritable possession without any strict obligations (other than the usual requirements of conserve land
quality and other ecological considerations). They are thus free to grow and produce anything that they
wish on their small plots.
A fourth highly significant difference concerns the ability to participate in land market transactions by
leasing additional land from the state. Peasant farmers are allowed to bid in official tenders for tracts of
irrigated land that become available for allocation. This is an acceptable market mechanism for farm
enlargement. Dekhans, on the other hand, are limited by law to 0.35 hectares of irrigated land per family
and cannot bid in such tenders. The only mechanism to enlarge a dekhkan farm is by applying to district
authorities with a request for low-quality unirrigated land (up to 2 hectares), including an undertaking to
ameliorate the additional land for cultivation at his expense.
Ongoing changes in farm organization
The intention of the Uzbek government to reduce state ownership of business enterprises was
formulated in the Law of Destatization and Privatization adopted in November 1991, just two months
after the declaration of independence. In application to agriculture, the general strategy for reducing the
direct involvement of the state in business enterprises primarily involved transformation of state farms
into collective farms and other shareholder forms, as well as reorganization of large-scale state-owned
livestock and poultry complexes into joint-stock companies. The destatization of state farms in
Uzbekistan had been completed by 1992, as most were transformed into collective farms, agricultural
production cooperatives, and joint-stock companies. The small number of state farms remaining are
appropriately engaged in the production of public goods, such as agricultural education, research and
development, livestock and crop selection.
It was originally thought that the transformation of collective and state farms into production
cooperatives and private agricultural companies would dramatically improve their efficiency and help
them go from chronic losses to new profits. In the 1990s all farm-reorganization programs in Uzbekistan
stressed the goal of restructuring loss-making enterprises and various pilot projects were implemented
with the objective of transforming loss-makers into profitable farms. This strategy espoused the
traditional socialist ideology of economies of size (“large is better”) and accordingly strove to achieve
“horizontal transformation” of inefficient large-scale enterprises into hopefully efficient large-scale
corporate farms. This strategy was doomed to fail, as experience in all CIS countries shows, and the
shirkat phase of Uzbek agriculture was short-lived. The 1998 Land Code introduced the shirkat as the
new organizational form that would make agriculture efficient and profitable. It was decreed at that time
that all collective farms and other agricultural enterprises should reorganize as shirkats by 2001. Yet the
7
hopes placed in this old-new organizational form did not materialize and just five years later, in 2003, a
new strategy abandoned the shirkat as unprofitable and shifted the emphasis to peasant farms as the
optimal organizational form for long-term development of agriculture (the main points of the 2003
strategy are summarized in Table 2.2). The new strategy opened the road for “vertical transformation”,
i.e., transition from large-scale corporate farms to much smaller family farms with clear commercial
orientation. In response to the new strategy, the number of shirkats declined rapidly from over 2,000 in
2003 to just 314 in 2006 as their land was broken up into relatively small allotments, and the remaining
shirkats are slated to be dismantled into peasant farms in 2007-2008.
Table 2.2. Main points of the 2003 strategy for the development of peasant farms in Uzbekistan
Recognize peasant farms as the preferred farm type for the future development of agriculture, based on
long-term leasing of state land
Create a legal framework for complete economic and financial independence of peasant farms
Ensure market-based financing arrangements for peasant farms:
o complete accountability for farm production expenses
o access to commercial bank credit with an option to mortgage the land use rights
Create education and training programs in business and farm management for peasant farmers
Ensure accelerated development of a market-oriented rural infrastructure capable of providing the full
range of services to peasant farms
Facilitate the development of “alternative” providers of machinery and mechanical field services for
peasant farms
Confirm the farmers’ obligation to produce for the state in accordance with the sowing pattern
prescribed in the lease contract
Source: Kontseptsiya razvitiya fermerskikh khozyaistv na 2004-2006 gody, Presidential Decree 3342, October 2003.
The land reform legislation that emerged in Uzbekistan after 1989, and especially in 1998, proved
resilient enough to take the country through three major waves of farm restructuring. The first wave
involved strengthening of household plots and first attempts at internal reorganization of agricultural
enterprises through introduction of independent subdivisions and intra-farm family-based leases (1989-
1997); the second wave mainly focused on formal reorganization of traditional collective farms into
shirkats (agricultural cooperatives) simultaneously with further strengthening of household plots (now
called dekhkan farms) and establishment of peasant farms as an entirely new organizational category
(1998-2002); finally, the third wave starting in 2003 boldly shifted the agricultural sector to
predominantly individual farming dekhkan farms in livestock production, peasant farms in crops
while restricting the role of corporate farms (agricultural enterprises) to highly specialized operations.
Livestock sector reform: Presidential Decree 308 of March 2006
The livestock sector in Uzbekistan is traditionally dominated by rural families, not large commercial
farms. Back in the Soviet period, more than 50% of livestock were in the care of rural households. The
share of households increased over time as large state-owned livestock complexes were privatized and
dismantled during the first phase of reform in the 1990s. In parallel efforts began to encourage livestock
specialization among the emergent peasant farms, but these essentially preferred to concentrate in crop
production. Today peasant farms manage about 5% of cattle in Uzbekistan, while 95% is in households
(dekhkan farms). Agricultural enterprises have no role in the livestock sector beyond livestock selection
farms, experimental stations, and some specialized karakul sheep operations in the desert.
Livestock production in Uzbekistan suffers from low efficiency, which is manifested in very low milk
yields. Presidential Decree 308 of March 2006 is intended to provide strategic and tactical instruments
8
for the improvement of milk yields and overall efficiency of livestock production. The main points of the
decree are summarized in Table 2.3. Recognizing the dominant role of household farms in the livestock
sector, the decree appropriately focused on support measures designed to increase the number of cattle
or cows in each family and on development of services designed to improve livestock productivity. These
measures are basically consistent with the findings of our report. As we demonstrate in Section 4, the
size of the household herd is one of the main factors for increasing family incomes and wellbeing, while
quality feed and veterinary services, including artificial insemination, are crucial for increasing milk
yields. Moreover, larger household herds and greater production volumes are likely to stimulate
commercialization among households, which on the one hand will further raise family incomes, but on
the other hand requires government support for the development of sales channels.
Table 2.3. Livestock Development Program in Uzbekistan
Program objectives:
Increasing the number of both dekhan farms and peasant farms engaged in livestock production
Improve livestock productivity
By these means resolve existing difficulties with rural employment and raise rural family incomes
In line with these objectives, the decree introduces the following measures:
Rural people engaged in livestock production in household plots and dekhkan farms (i.e., rural
households that do not qualify as peasant farms) will be regarded by the state as gainfully employed
and will be accordingly entitled to state pension. This decision applies irrespective of whether the
rural households sell any of their livestock products or consume everything within the family. This is a
totally new approach to the standing of rural households in the labor economy.
Encourage household plots and dekhkan farms to increase their herd. Implement a charity program
financed by businesses, wealthy peasant farmers, and public organizations, whereby poor families
with many children will be entitled to receive one cow. These efforts should increase the cattle herd
in dekhkan farms from 6 million head in 2005 to 8.5 million head by the end of 2010.
Encourage peasant farmers to double their herd from 330,000 head of cattle in 2005 to 660,000 head
of cattle in 2010, while increasing the number of specialized livestock farmers from 8,000 in 2005 to
11,000 in 2010. The share of peasant farms in the cattle herd will accordingly increase from 5% in
2005 to about 7.5% in 2010.
Improve the access to veterinary and artificial insemination services by expanding the network of
service points.
Organize auctions for sale of pedigree cattle to household plots, dekhan farms, and peasant farms.
The program envisages sale of 100,000 head of pedigree cattle through auctions to farmers between
2006-2010.
Expand microcredit facilities for household plots and dekhkan farms (excluding peasant farms) to
facilitate purchase of cattle. A total of 158 billion som will be allocated to microcredit between 2006
and 2010, of which 80% will come through commercial banks (at subsidized interest rates and using
streamlined lending procedures) and 20% through the rural support fund. Given that cattle sells for
about 2 million som in auctions, the microcredit facility will be sufficient to buy less than 80,000 head
of cattle between 2005 and 2010 a drop in the sea compared with the projected increase of 2.5
million head in household plots and dekhkan farms (see 1 above).
Improve the access of rural households (household plots and dekhkan farms) to concentrated feed by
instructing the state-controlled suppliers to establish feed storage facilities and sale outlets in rural
areas. The program envisages a seven-fold increase in the number of sale outlets for concentrated
feed across the country, from 113 in 2005 to 773 in 2010. State-controlled feed mills will be allowed
to purchase grain directly from peasant farmers (and not through state procurement channels) as a
raw material for concentrated feed production.
Pedigree livestock breeders will be exempt until 2010 from custom duties on all imports of genetic
materials and related equipment.
9
3. Outcomes of land and livestock reforms
Changes in land use
The beginning of land reform in 1989 had an immediate impact on the rural population. Total
agricultural land allocated to household plots (called dekhkan farms today) doubled from about 200,000
hectares to 400,000 hectares in less than two years, and then continued to grow to 600,000 by 1995-
1997. Despite this trebling of family holdings in the early 1990s, the household plots accounted for less
than 3% of all agricultural land up to 1997 and agricultural enterprises former collective and state
farms continued to dominate Uzbek agriculture. It is only the second phase of land reform, following
the adoption of the new Land Law and related farm legislation in 1998, that triggered highly significant
shifts in the established pattern of land use in Uzbekistan. The land controlled by agricultural enterprises
began to shrink rapidly, as most of it shifted to peasant farms a new form of individual or family-based
farming recognized by the 1998 Land Code and the associated Law of Peasant Farms. This shift from
corporate farms (agricultural enterprises) to individual farming is particularly striking when we consider
the changes in the use of arable land: in Figure 3.1 we see the rapid shrinkage in arable land used by
corporate farms after 1998 (the dark bottom layer) and the corresponding increase in arable land used
by peasant farms (the gray wedge in the middle), while the arable land in household plots remains
virtually constant (black layer on top).
Figure 3.1. Use of arable land by farms of
different organizational forms 1991-2006.
Figure 3.2. Use of agricultural land by farms
of different organizational forms 1991-2006.
1991 1993 1995 1997 1999 2001 2003 2005
0
5
10
15
20
25
30 mln ha
Enterprises
Farmers
Dekhkans
Abandoned
1991 1993 1995 1997 1999 2001 2003 2005
0
1
2
3
4
5mln ha
Enterprises
Farmers
Dekhkans
10
A generally similar pattern of change is observed for all agricultural land (Figure 3.2), which in addition to
arable land also includes pastures, meadows, and land under perennial orchards and vineyards. Here the
decline of agricultural enterprises is less pronounced than in arable land (compare Figure 3.1) due to
their relatively high proportion of pastures: it is mainly arable land, not pastures, that is reallocated in
the process of reform from agricultural enterprises to peasant farms. Another notable feature of changes
in agricultural land is the overall decrease in land use by all categories of agricultural users: the top light-
gray layer in Figure 3.2 represents the difference between the land used in farms (as reported by the
Ministry of Agriculture) and the available agricultural land as reported by Goskomzem (the land
monitoring authority). The gap represents abandoned land, i.e., land not claimed by agricultural users.
The abandoned land has reached 6 million hectares in recent years. This is primarily pastures, as virtually
all arable land appears to be allocated to users.
As a result of these changes in land use, the share of the individual farming sector both household
plots and peasant farms increased from about 3% to 30% in agricultural land since 1991. The share of
individual farms in arable land rose even more dramatically and it now approaches 80% (Figure 3.3).
Given the information in Figures 3.1 and 3.2 we conclude that most of the land in the individual sector is
represented by peasant farms, not household plots. The share of peasant farms in arable land
approaches the target set for 2007 in the 2003 strategy for the development of peasant farms (72.1% of
irrigated land), but their share in agricultural land is still far from the target of 63.3%, as most pastures
continue to be locked in a small number of remaining enterprises.
Figure 3.3. Share of agricultural and arable
land in individual use (dekhkan and peasant
farms).
Changes in the livestock sector
Alongside the increase in land use, the reform has led to a substantial increase in cattle in individual
farms (Figure 3.4). The specific pattern of change in livestock differs from the change in land tenure.
Already during the Soviet era more than half the cattle was in household farms (compare this number to
3% of agricultural land and 10% of arable land in household plots during this period). After 1990, and
especially after 1995, the number of cattle in enterprises decreased, while the number of cattle in rural
households increased sharply. The overall outcome of these oppositely directed changes was a marked
increase in the total number of cattle in Uzbekistan (from 5 million to 7 million head). The increase in the
number of cattle is entirely attributable to the increase in the household sector, which more than offset
the decline in the enterprise sector. The peasant farms play a distinctly marginal role in livestock: the
cattle in peasant farms increased over time, but it does not exceed 5% of the total herd in the country.
This is in stark contrast to the share of peasant farms in land use, which reaches 65% of arable land and
1991 1993 1995 1997 1999 2001 2003 2005
0
20
40
60
80 percent
AgLand
Arable
11
nearly 30% of agricultural land in 2006 (see Figures 3.1 and 3.2). The overall share of the individual
sector (dekhkan farms and peasant farms combined) has reached 98% of cows, 96% of cattle, and 80% of
sheep and goats, where most of these numbers are in household plots, not in peasant farms (Figure 3.5).
This is much higher than the share of the individual sector in land use, and we can say that the livestock
sector in Uzbekistan is clearly dominated by the individual sector, and specifically by dekhkan farms (i.e.,
household plots). Peasant farms, on the other hand, play a much more central role in crop production
due to their large endowment of arable land. While dekhkan farms are the dominant force in
Uzbekistan’s livestock sector, the average dekhan farm has just 1.4 head of cattle and 0.8 cows,
compared with 42 head of cattle and 13 cows in livestock-oriented peasant farms. The bulk of cattle in
Uzbekistan is thus held in a huge number of very small household farms: 4.5 households keep more than
6 million head of cattle and 2.7 million cows more than 90% of Uzbekistan’s herd.
Figure 3.4. Cattle herd in farms of different
organizational forms.
Figure 3.5. Share of cows and sheep in the
individual sector (dekhkan and peasant
farms).
The increase of the cattle herd, and especially the number of cows, in the process of reform is reflected
in an increase of the share of livestock production in Uzbekistan’s gross agricultural output (GAO).
Livestock production increased from 30%-35% of GAO in the pre-1990 period to 45%-50% since 1997
(Figure 3.6). The increase in the importance of livestock production in Uzbekistan in recent years can be
best judged by comparison with the traditional livestock-producing countries, such as Russia, Ukraine,
Belarus, Kazakhstan, and Kyrgyzstan. The share of livestock production in these countries dropped from
55%-60% before 1995 to about 45% in recent years, while in Uzbekistan the share of livestock
production increased to about the same level.
1980 1985 1990 1995 2000 2005
0
2
4
6
8mln head
Enterprises
Farmers
Dekhkans
1980 1985 1990 1995 2000 2005
0
20
40
60
80
100 percent of herd in households
Sheep
Cows
12
Figure 3.6. Share of livestock production
in GAO.
Feed base and milk yields
The increases in the livestock herd have not been matched by corresponding increases in production of
feed crops for animals. On the contrary, the livestock feed base has shrunk dramatically since 1991,
aggravating the loss of pastures noted previously in Figure 3.2. After increasing from 700,000 ha to
1,100,000 ha during the last decade of the Soviet period, between 1980 and 1991, it dropped to about
500,000 ha in the late 1990s and continued to decline to less than 300,000 ha in 2004-05 (Figure 3.7).
The land released from feed crops was mainly directed to wheat production as part of the state’s
strategy to achieve food self-sufficiency in the early years of independence. Since agricultural land is
state-owned in Uzbekistan, cropping patterns are predetermined centrally on the basis of state plans for
the production of the two main cash crops cotton and wheat. Any changes in cropping patterns both
in the past and today require top-level government decisions. Farmers are not free to increase the
areas under feed crops to their previous levels, as this will inevitably affect the areas cropped to cotton
and wheat the two strategic crops subject to state production orders.
Figure 3.7. Area under feed crops 1980-
2006.
The shrinkage of the feed base continued despite the rapid growth in total herd. As a result, the area
under feed crops per head of cattle was cut in half from 0.20 ha/head in the 1980s to 0.10 ha/head in
the 1990s and it now stands at less than 0.05 ha/head, i.e., 25% of the steady-state level in the 1980s.
Paradoxically, the decline in areas cropped to feed did not affect adversely the milk yields, which have
remained fairly constant (and very low) at about 1,600 kg per cow per year since 1990. This may be
attributable to the fact that the average milk yields in Uzbekistan are predominantly determined by milk
production in the dekhkan farms, which anyhow do not have much land to allocate to feed crops: they
1980 1985 1990 1995 2000 2005
0
200
400
600
800
1000
1200
1980 1985 1990 1995 2000 2005
0
10
20
30
40
50
60 percent of GAO
13
typically send their cows to graze in the open, on harvested fields, along the roads, and near waterways,
remaining perversely independent of both feed crop harvests and formal pastures.
Figure 3.8. Milk yields for Uzbekistan and
other CIS countries (Statistical Committee of
the CIS, Moscow (2006), CD-ROM 2006-11).
The milk yields show a very slight increase over time from a touch below 1,500 kg per cow per year in
the 1980s to slightly more than 1,600 kg per cow year since 2000. These are very low yields by
comparison with Europe and the U.S. (8,000 kg per cow per year) or Israel (11,000 kg per cow per year).
More troubling than the comparison to Western economies is the fact that the Uzbek milk yields are
substantially lower than in other CIS countries (2,000-2,700 kg per cow per year in Belarus, Ukraine,
Russia, Moldova, and Kyrgyzstan) and exceed only those in Azerbaijan, Georgia, and Tajikistan (Figure
3.8).
Agricultural production and productivity
The differential changes in the distribution of land and livestock by farms of different types have led to
striking changes in the structure of agricultural production in Uzbekistan, especially after 1997-1998. The
production in enterprises dropped from about 35% of the total in 1997 to just 6% in 2006. The
production in dekhkan farms remained fairly stable at slightly over 60% since 1997, while the production
in peasant farms grew from 3% in 1997-1998 to nearly 32% in 2006. Peasant farms have thus exceeded
the production target set for 2007 in the October 2003 strategy for the development of peasant farms.
We see from Figure 3.9 that agricultural production has in fact shifted from enterprises to peasant farms
since 1997: the decrease in production in agricultural enterprises (bottom dark gray layer) has been
compensated by a corresponding increase in production in peasant farms (black layer above it). The
dekhkan farms (top light gray layer) have retained their dominant and relatively constant share
throughout the entire period (prior to 1997, with peasant farms at their initial formative stage, it is the
dekhkan farms that were increasing their share of agricultural output at the expense of the shrinking
enterprises).
The phenomenon of peasant farms taking over from agricultural enterprises is demonstrated with
particular clarity in Figure 3.10, which shows the changing shares of crop production since 1995.
Focusing on the latest years since 2002-2003, we note that the share of crop production in dekhkan
farms remains constant at around 40%, while the share of peasant farms rapidly increases at the
expense of agricultural enterprises. This shift in crop production from agricultural enterprises to peasant
farms is consistent with the shift of arable land noted in Figure 3.1.
Bel Ukr Rus Mol Kyr Kaz Arm Az Gru Taj Uzb
0
500
1000
1500
2000
2500
3000 kg/cow/year (ave 1991-2005)
14
With regard to livestock production, the dekhkan farms continue as the dominant force, having gradually
increased their share to more than 90% of total livestock output in 2006. Both enterprises and peasant
farms play a strictly marginal role, with peasant farms contributing less than 3% of livestock production.
This is also consistent with the distribution of the herd over farms of different types (Figure 3.4), where
dekhkan farms are seen to account for 93% of all cattle in 2006, while peasant farms control a mere 5%.
Figure 3.9. Structure of agricultural
production (GAO) by farm type.
Figure 3.10. Structure of crop production
by farm type.
We conclude that the second phase of reform, starting with the adoption of the 1998 Land Code and
related legislation, was characterized by a dramatic shift of production (mainly crops) from agricultural
enterprises to peasant farms. But it is clearly the dekhkan farms that come out as the star player of the
process of reform. The dekhkan farms maintained their leading role in agricultural production
throughout the period, contributing over 60% of gross agricultural output. The role of dekhkan farms is
particularly prominent in livestock production, where they account for more than 90% of output, but
they are also a very significant player in crop production, contributing nearly 40% of crop output in
recent years.
Ultimately, the success of agricultural reforms is measured first by growth in production and second by
changes in agricultural productivity. Fortunately for Uzbekistan, the early phases of transition (up to
1997) did not involve dramatic declines in agricultural production, as in other CIS countries. The
agricultural output essentially stagnated between 1980 and 1997, but then it took off, rising by more
than 60% between 1998 and 2007 (Figure 3.11, black curve). Moreover, the increase in agricultural
1995 1997 1999 2001 2003 2005
0
20
40
60
80
100
enterprises
farmers
dekhkans
1995 1997 1999 2001 2003 2005
0
20
40
60
80
100
enterprises
farmers
dekhkans
15
production was entirely attributable to the individual sector dekhkan and peasant farms combined as
the production of agricultural enterprises eroded by more than 70% during this period (dropping to 30%
of the level in 1997; Figure 3.11, gray curve). The process of agricultural reform encouraging and
emphasizing transition from the traditional large-scale enterprises to individual farms both peasant
and dekhkan has produced remarkable results in terms of production growth in agriculture. This effect
of agricultural growth spurred by individualization of agriculture is not unique to Uzbekistan: it is
observed in other CIS countries that have encouraged transition to individual farming.
Figure 3.11. GAO for all farms and
agricultural enterprises 1980-2006.
Agricultural productivity is usually calculated as partial productivity of land (value of agricultural output
per hectare of agricultural land) and partial productivity of labor (value of agricultural output per
agricultural worker, including self-employed dekhkans). More sophisticated measures rely on total factor
productivity (TFP), which aggregates the partial measures into one index that allows for the entire basket
of resources and inputs used in agriculture. TFP is technically difficult to calculate, but even the
calculation of partial productivity measures involves certain problems as it requires good knowledge of
resources the area of agricultural land used for production and the number of employed in agriculture
( both workers for hire and self-employed). Figure 3.12 shows the three curves that constitute the basis
for productivity calculations: agricultural production (gray curve), agricultural land in use (thin black
curve), and agricultural employment (thick black curve). The curves span the period 1980-2006 and they
are all normalized to index numbers with 1980=100, thus eliminating problems with differences in units
of measurement.
Figure 3.12. GAO, agricultural labor, and
agricultural land 1980-2006 in percent of
1980 (1980=100).
1980 1985 1990 1995 2000 2005
0
50
100
150
200 1980=100
labor
land
GAO
1980 1985 1990 1995 2000 2005
0
20
40
60
80
100
120
140
160
180
all farms
enterprises
16
Agricultural output has increased dramatically since 1997. Agricultural land, on the other hand, has
declined: this is evident from Figure 3.2 above, where we see that both land in use and available land
decline over time (land in use declining much more rapidly). This essentially means that the partial
productivity of land has increased, and at that by much more than the 60% increase in agricultural
production. In fact, the productivity of agricultural land increased by almost 150% between 1997 and
2006 due to the combined effect of increasing production and decreasing land base (Figure 3.13, gray
curve). Agricultural employment also seems to have declined fairly steeply since 1997, although the
reasons for this are not entirely clear. Based on the given curve of declining agricultural employment in
Figure 3.12, we conclude that the partial productivity of labor has also increased strongly since 1997
(after declining between 1980-1997 due to the increase in agricultural labor in the face of stagnating
production; see black curve in Figure 3.13).
Figure 3.13. Productivity of agricultural
land and labor 1980-2006.
Agricultural reforms in Uzbekistan are thus seen to have had a highly beneficial outcome, in terms of
robust growth in both production and productivity. Another dimension that needs to be checked in
future work is the impact of these processes on rural incomes and the wellbeing of the rural population.
Unfortunately, no data are available for this analysis at the present stage.
4. Policy lessons from a survey of dekhkan and peasant farms
The underlying objectives of land reform in all transition countries are to increase the incomes and the
well-being of their large rural populations which rely on agriculture for a substantial part of the family
budget. In every CIS transition country this has been done through improving farm productivity and
encouraging growth in the agricultural sector. The impact of land reform on agricultural growth has been
examined in preivous sections. In this section we look at the effect of land reform on rural incomes and
also on some micro-level determinants of productivity improvements.
Farm-level information supplementing the national statistics was obtained in a farm survey conducted in
August 2007 in 8 of the country’s 13 main administrative regions (from East to West: Ferghana,
Namangan, Tashkent, Syrdarya, Djizak, Kashkadarya, Khorezm, and Karakalpakstan). The regions were
selected on the basis of their agricultural profile with the purpose of ensuring a sufficiently
representative coverage of the entire country. A total of 20 districts were then selected in these 8
regions, again with due regard to representativeness of the local conditions. The survey sample included
a total of 1,600 respondents divided into two groups: 797 dekhkan farmers and 803 peasant farmers.
The respondents were chosen at random in each district based on local lists. This section presents the
1980 1985 1990 1995 2000 2005
0
50
100
150
200
250
300 1980=100
land
labor
17
main conclusions and policy lessons derived from the farm survey regarding the impact of land
distribution on rural incomes and possible productivity improvements in the livestock sector.
Dekhkan and peasant farms compared
The rural population covered by the survey is dichotomized into two groups: dekhkans and farmers.
Dekhkans have only their small household plot, which consists of tomorka the plot around the house
and often also an additional plot somewhere on the periphery of the village. Farmers have a relatively
large plot that they received for commercial farming, which is in addition to a household plot similar to
that of all other rural residents. Farmers are in turn divided into crop farmers (which have land but no
livestock) and livestock farmers (which in addition to land also keep animals). Table 4.1 shows some
comparative characteristics of these three groups of rural people.
Table 4.1. Selected characteristics of dekhkan households and farmers
Dekhkan
households
Crop farmers
Livestock farmers
All farmers
Number of respondents
797
402
399
803
Household plot
0.17
0.19
0.22
0.21
Farm plot
--
31.74
56.21
43.90
Total holdings
0.17
31.9
56.4
44.1
Household livestock
2.7
4.4
2.9
3.6
Farm livestock
--
--
56.8
28.2
Total livestock
2.7
4.4
59.7
31.9
Total income
267
451
560
505
Per capita income
47
74
90
82
Family size
6.0
6.6
7.2
6.9
Note: Livestock in this table aggregates all species (cattle, sheep, goats, poultry, etc.), expressed in standard head.
The differences between dekhkan households and farmers are significant by all variables: dekhkans have
smaller families, less land, less livestock, and less income (both total and per capita). The difference in
income is reflected not just in the means: dekhkans are observed to achieve lower incomes also when
we control for land holdings and the size of the animal herd (this is evident from the negative farm type
coefficient for dekhkans in Table 4.4).
The differences between crop farmers and livestock farmers are also generally significant: in addition to
having more livestock (obvious by definition), livestock farmers have more land which is presumably
allocated with the purpose of enabling them to grow feed crops for their animals. Livestock farmers also
earn a higher total income than crop farmers. The difference in per capita income, however, is not
significant between these two groups of farmers, mainly because livestock farmers have larger families
than crop farmers.
Substantial differences are observed in cropping patterns between livestock farmers and crop farmers;
there are also notable differences between land use in peasant farms and in household plots. We start
with a comparison between livestock and crop farmers. The main difference between the two groups of
peasant farms (in addition to the difference in farm size; see Table 4.1) is in the land area under feed
crops. Livestock farmers have nearly 30% of their land under grasses and feed roots, plus another 14%
under corn, which is also mainly used for animal feed (Table 4.2). Crop farmers, on the other hand,
devote only 3% of their sown area to feed crops and corn: they have no livestock and do not need feed
although in principle they could grow feed for sale to livestock farmers and dekhkans who do need it.
18
Wheat and cotton are the two other major crops in peasant farms, but livestock farmers allocate to
these crops about half the area share allocated in crop farms: livestock farmers have 48% of their land
under cotton and wheat (roughly in equal proportions), while in crop farms these crops take up almost
90% of the sown area (slightly more cotton than wheat).
Cotton characterizes the main difference between the use of land in peasant farms and dekhkan plots:
cotton is only grown on peasant farms, where overall it accounts for more than one-third of the cropped
area, whereas dekhkan plots have no cotton at all (Table 4.2). Instead of cotton, dekhkans concentrate
on horticultural crops: potatoes, vegetables, melons, fruits, and grapes are the dominant component in
household plots, taking up half the cropped area (compared to a mere 4% in peasant farms, Figure 4.1).
Feed crops, corn, and other grains account for the rest of the cropped area in roughly equal proportions
(15%-20% in each crop category). The share of land under feed crops and corn is close to that in livestock
farms (about 35% in dekhkan farms compared to 45% in livestock farms, Figure 4.1). The emphasis on
corn at the expense of wheat in dekhkan plots probably indicates that this cereal is grown as feed for
household animals, while peasant farms especially crop farms -- concentrate on wheat as a cash crop.
There are no major differences in land use in household plots cultivated by dekhkan families and farmer
families.
Table 4.2. Structure of cropped area in peasant farms and household plots
Peasant farms
Household plots
Livestock
farmers
Crop farmers
All peasant
farms
Dekhkans
Farmers
Cotton
24.1
48.2
34.5
0
0
Corn
13.7
1.7
8.6
19.5
15.9
Wheat and other grains
24.2
40.5
31.2
18.5
22.9
All grains
44.2
44.6
44.4
38.0
33.5
Horticulture
2.5
5.9
4.0
47.9
52.6
Feed crops
29.2
1.3
17.1
14.1
13.9
All cropped
100
100
100
100
100
Average cropped area, ha
36.4
26.7
31.5
0.14
0.15
It may be argued that peasant farmers are obliged to grow cotton (and wheat) by virtue of the conditions
imposed on them by the state through land lease contracts. Dekhkan farmers, on the other hand, are
free from such obligations to state orders and they presumably forgo cotton as an unprofitable crop. To
the extent that they grow wheat it mainly serves to feed household animals and to produce flour for the
family not to meet state orders as in peasant farms.
There are notable differences in the structure of income sources between dekhkans and peasant farmers
(Table 4.3). Dekhkans rely heavily on wages from outside employers, while peasant farmers earn income
primarily from farming. This difference is understandable given the considerable disparity in the size of
farms between the two groups. The small size of dekhkan plots is not sufficient to ensure full-time
employment for dekhkan family members, who are accordingly forced to look for outside work. Peasant
farms, on the other hand, are much larger and do not leave time for outside occupations for farmers.
Dekhkan families also receive a much greater share of remittances from family members working
abroad: this is again linked to the smallness of the family plot, which forces some family members to
emigrate in search for work.
19
Figure 4.1. Cropping structure for dekhkan
and peasant farms. *Feed crops include
corn.
Table 4.3. Structure of family income for dekhkans and peasant farmers
Sources of family income
Dekhkans
Peasant farmers
Household plot (sales and consumption)
25.5
21.0
Crop production
15.1
n.a.
Livestock production
10.4
n.a.
Peasant farm (sales and consumption)
--
51.1
Wages
37.8
8.6
Non-ag business
9.5
3.7
Remittances
7.1
0.8
Other transfers
20.1
14.8
Total monthly income, %
100
100
‘000 som
267
505
Family income and wellbeing
The essence of land reform in all CIS countries is to increase the land holdings of the rural population.
The survey shows that both total family income and per capita income steadily grow with land holdings.
These results are presented in Figures 4.2 and 4.3. While the result for total income is intuitively trivial
(more land, more production, more income), the result for per capita income is not. Family income in
our analysis includes cash income from all sources plus value of own products consumed in the
household.
Figure 4.2. Family income vs. land
holdings for dekhkans and peasant
farmers.
Crop farms Livestock farms Dekhkans
0%
20%
40%
60%
80%
100%
Cotton
Grains
Horti
Feed*
<0.1 0.1-0.2 0.2-0.5 0.5-1.0 1-10 10-50 50-100 >100
ha
0
100
200
300
400
500
600 '000 soum
Dekhkans
Farmers
20
Figure 4.3. Per capita income vs. land
holdings for dekhkans and peasant
farmers.
Figures 4.2 and 4.3 incidentally highlight an interesting feature of land distribution in Uzbekistan: the
dekhkan plots do not exceed 1 hectare; farmers’ land holdings never fall below 1 hectare (this includes
both the household plot and the farm plot). There is a sharp differentiation by land between the two
groups of dekhkan farms and peasant farms, which is reflected in the total separation between dark and
light gray bars in the two diagrams.
Given the positive effect of land holdings on income, it is desirable to check also the effect of the herd
size on income per capita. This was done in a regression framework, modeling income per capita as a
function of both land holdings and the number of cattle. The regression results presented in Table 4.4
demonstrate that per capita income indeed increases with the increase of the herd size, controlling for
land holdings. This conclusion holds when dekhkan households are analyzed on their own and also when
dekhan households and peasant farms are analyzed simultaneously, controlling for farm type. For
farmers analyzed on their own, the effect of land holdings is positive but not statistically significant,
while the effect of cattle is positive and statistically significant. There are no significant differences
between “livestock” farmers and “crop” farmers in the sample. Land holdings and cattle herd for farmers
include both the dekhkan component and the farm component.
Table 4.4. Regression coefficients for per capita income as a function of land holdings and size of cattle herd
Dekhkans only
Farmers only
Dekhkans and farmers
simultaneously
Land holdings (in ha)
27.4
+0.14 (not signif.)
+0.14
Cattle herd (head of cattle)
2.6
+0.20
+0.21
Farm type effect: dekhkans vs farmers
--
--
-23.66
Intercept
36.53
70.32
70.26
Mean values by farm type:
Per capita income (monthly, thou som)
47
82
--
Land holdings, ha
0.17
44
--
Number of cattle
2.3
28
--
Note: All regression coefficients are statistically significant at 10% level, except for the coefficient of land holdings
for farmers when analyzed separately. In all three regression R-square is low (less than 10%), which means that
further refinement of the model should be attempted.
The negative coefficient of farm type in Table 4.4 implies that, on average, dekhkans earn less per capita
than farmers, controlling for land and cattle. This result is consistent with the means reported for
<0.1 0.1-0.2 0.2-0.5 0.5-1.0 1-10 10-50 50-100 >100
ha
0
20
40
60
80
100 '000 soum
Dekhkans
Farmers
21
monthly per capita income: 47,000 for dekhkans and 82,000 for farmers (the difference is statistically
significant).
In addition to providing quantitative information on per capita income of rural families, the survey also
collected qualitative information on subjectively perceived standard of living or wellbeing. Wellbeing was
measured on a three-level scale “low”, “medium”, and “comfortable” – based on the subjective
perception of the family’s standard of living (“what the family budget buys”) as articulated by the
respondents in the survey. Based on the entire sample, farmers enjoy a generally higher standard of
living than dekhkans: 17% of farmers perceive their standard of living as “comfortable” compared to only
4% among the dekhkans; conversely 38% of dekhkans perceive their standard of living as “low”
compared to only 11% among the farmers (Table 4.5).
Table 4.5. Subjective perception of wellbeing among dekhkans and farmers
Low
Medium
Comfortable
Dekhkans (n=796)
38
58
4
Farmers (n=795)
11
72
17
Statistically, the percentages in Table 4.5 can be interpreted as probabilities of achieving a given level of
wellbeing. Thus, dekhkans have a probability of 38% of achieving a low standard of living and a
probability of 4% of achieving a comfortable standard of living. Farmers have a probability of 11% of
achieving a low standard of living and a probably of 17% of achieving a comfortable standard of living.
Multinomial logistic regression can be used to estimate the probability of achieving a given standard of
living low, medium, or comfortable as a function of land holding and other endowments, such as
number of cattle. Figure 4.4 shows how the estimated probability of achieving each level of wellbeing
varies with the amount of land held by the dekhkan family. The probability of having a low standard of
living (red curve) decreases with the increase of land holdings, while the probabilities of having a
comfortable and a medium standard of living (black and green curves) both increase with the increase of
land holdings. The probability values on the three curves corresponding to each value of land holdings
always sum to 1, which explains why a decrease in one probability (low level of wellbeing) is
accompanied by an increase in the other probabilities (comfortable and medium standard of living).
Figure 4.4. Probability of achieving a
given level of wellbeing as a function of
land holdings for dekhkan farms. Bottom
curve (empty circles) highest level of
wellbeing (“comfortable”), top curve
(crosses) medium level, descending
curve in the middle (crossed circles)
lowest level of wellbeing.
22
The picture remains basically the same when we estimate the probabilities of different levels of
wellbeing as a function of the number of head of cattle: the probability of achieving the lowest standard
of living decreases with the increase of the cattle herd, while the probability of achieving the highest and
the medium standard of living increases. The probabilities for farmers show the same general behavior
with land holdings and livestock herd as for dekhkans.
The probability of achieving a “comfortable” standard of living increases with the increase of land
holdings and the number of cattle, while the probability of being in the lowest standard of living
decreases with the increase of land holdings and the number of cattle. Thus, land and cattle the two
factors most immediately affected by land reform have direct impact on poverty alleviation.
The generally higher standard of living among farmers compared with dekhkans is reflected in higher
total income, higher per capita income, larger land holdings, and larger cattle herds (Table 4.6, last line).
Moreover, examining the incomes and the endowments for different levels of wellbeing we observe in
Table 4.6 that the means increase as we move from the lowest to highest level of wellbeing. This is
consistent with the probability estimates produced by logistic regression.
Table 4.6. Incomes and endowments for dekhkans and farmers by levels of wellbeing
Perceived
wellbeing
Total income
Per capita income
Land holding, ha
Cattle, head
Dekhkans
Farmers
Dekhkans
Farmers
Dekhkans
Farmers
Dekhkans
Farmers
Low
197
451
36
72
0.16
30
2.0
16
Medium
303
458
53
72
0.18
44
2.4
23
Comfortable
429
738
71
129
0.19
53
2.1
51
All sample
267
505
47
82
0.17
44
2.3
28
Note: Means calculated using all observations, including those with zero values.
We conclude from the analysis of per capita incomes and wellbeing levels that rural wellbeing can be
improved by focusing on ways to increase the land holdings and the cattle herd of the population,
especially the dekhkans. Policies to facilitate the increase of land holdings should rely on further
development of land markets through simplification and streamlining of leasing transactions. Easier
access to land leasing should enable the enterprising dekhkans and farmers to increase their holdings
and thus achieve higher levels of wellbeing. Land and cattle have an important role in poverty alleviation
for the rural population. This conclusion is not unique to Uzbekistan: the same result is consistently
observed in other transition countries, where rural incomes and wellbeing are seen to increase with the
size of individual farms.
Commercialization of dekhkan farms
Dekhkan farms are often treated dismissively by government decision makers, because they are viewed
as subsistence-oriented operations that do not really justify being called a farm. There are two ways of
looking at commercialization: one is by estimating the percentage of households that sell at least some
of their production; the other is by estimating the share of total production sold. By the first measure
the percentage of producers engaged in sales dekhkan plots appear to be a subsistence activity: nearly
two-thirds of dekhkan households with cows do not sell any milk, consuming everything they produce
within the family. Yet the remaining one-third of dekhkans do sell, and quite a lot at that: these
“commercial” dairy dekhkans sell on average 60% of their milk production (Table 4.7). Because of their
high rate of sales, the average level of sales is around 20% of milk production for all dekhkan plots with
cows including the two-thirds that do not sell anything. Therefore, by the second measure the share
of output sold dekhkan plots are anything but subsistence operations: they sell a very respectable
23
share of their milk production, even allowing for the large contingent of subsistence oriented
households.
Table 4.7. Milk producing households classified into “sellers” and “non-sellers”
Dekhkan households
producing milk (n=534)
No milk sales, “non-sellers” in percent of all milk producers
64
Some milk sales, “sellers” in percent of all milk producers
36
Share of output sold by “sellers”
60
Share of output sold by all milk producers (“sellers” and “non-sellers” combined)
21
The dairy orientation is dominant among dekhkan farms with cattle: 31% sell milk, while only 6% sell
meat (4% sell both). There is a much greater tendency to consume milk inside the household and to
channel meat mainly for sales: dekhkan households sell only 40% of their milk production but fully 90%
of their meat. Sales quantities reach 1600 kg of milk and nearly 400 kg of meat on average for a
household that sells these commodities. Milk is selling for 270 som per kg, compared with 3,700 som per
kg for meat.
Neighbors and acquaintances are the main sales channel for milk and meat from dekhkan farms (Table
4.8). Other prominent channels are sales in the market (presumably in the nearest town) and sales
through intermediaries. Sales to neighbors and acquaintances, which are usually made in the same
village and do not involve travel, are reported also by those who sell in the market or through
intermediaries. On the other hand, sales through intermediaries and sales in the market are mutually
exclusive for all practical purposes: dekhkans either deliver their products to an intermediary or make
the effort of traveling to the market, not both.
Table 4.8. Sales channels for dekhkan farms (milk and meat)
% of those who sell (n=211)
Neighbors, acquaintances
53
Market
36
Intermediaries
33
Note: percentages add to more than 100% because dekhkans use more than one sales channel: 26% of those
selling to neighbors also sell in the market and 36% also sell through intermediaries. The overlap between sales in
the market and sales through intermediaries is negligible (less than 10%).
The strong reliance on sales to neighbors and acquaintances provides indirect evidence of difficulties
with transport and wholesale arrangements in the markets. In order to tap the large sales potential of
dekhkans and ensure that their products are available to the urban consumer, the government should
implement policies intended to facilitate the access of dekhkan producers to markets. This may include
establishment of rural integrators, transport operators, and wholesalers that should simplify the
dekhkans’ access to markets. Intermediaries fulfill an essential function in setting up marketing
channels, and their functioning should be encouraged.
Commercialization levels of dekhkans increase with the increase of milk yields (a measure of production
efficiency), the increase of the dairy herd, and hence the increase of total production volumes through a
combination of the two factors. In other words, households that produce more milk (because they have
more cows and achieve higher yields per cow) sell a higher share of their output. This result is
summarized in Figure 4.5, which shows the quantity of milk production for dekhkan farms with various
commercialization levels (from no sales to sales of over 75% of milk output).
24
Figure 4.5. Milk production by level of
sales for dekhkan farms.
A more detailed summary is given in Table 4.9, which presents various characteristics of dekhkan
households classified by commercialization levels (again from no sales at all to sales reaching 75% of
total milk production). The combination of higher yields and more cows results in greater output: more
production generates surplus milk, which leads to higher commercialization. Family size naturally
increases the needs of the family and reduces the surplus available for sale. We accordingly see a
decrease of family size for higher levels of commercialization. Land has no effect on commercialization
levels in dairy production, probably because all dekhkans have roughly the same small plot and the
variability of land holdings across farms is not very pronounced (for 90% of dekhkans the plot size falls
between 0.1 and 0.4 hectares).
Table 4.9. Farm characteristics by commercialization level for dekhkan farms that produce milk
No sales
Up to 50% of
milk production
50-75% of milk
production
Over 75% of
milk production
Dekhkan farms (n=534)
64%
16%
12%
8%
Cows, head
1.1
1.2
1.5
1.9
Milk yield, kg/cow
735
950
1074
1225
Milk production, kg
739
1126
1521
2468
Family size, persons
6.4
6.1
6.0
5.3
Plot size, ha
0.19
0.18
0.22
0.19
The decision to sell has a major impact on total family income and per capita income. Dichotomizing the
dekhkan farms into “sellers” (i.e., those reporting some revenue from farm sales) and “non-sellers”
(farms without any sales revenue), we observe that sellers achieve higher total income and higher per
capita income than non-sellers (Table 4.10).
Table 4.10. Total family income and income per capita for “sellers” and “non-sellers” among dekhkan farms
“Non-sellers”
“Sellers”
Family income, ‘000 som/month
231*
250*
Per capita income, ‘000 som /month
40*
63*
*Differences between “sellers” and “non-sellers” statistically significant for p=0.01.
The government should encourage commercialization of dekhkan farms not only from considerations of
delivery of farm products to consumer markets, but also as a mechanism for poverty alleviation in rural
areas. This can be accomplished by helping dekhkan farmers increase their herd and improve milk yields
through proper farm practices.
No sales 1-50% 50-75% >75%
share of output sold
0
500
1000
1500
2000
2500
3000 kg
Dekhkans
25
Improving milk yields through genetics, feed, and animal care
We have seen in Figure 3.8 that milk yields in Uzbekistan are among the lowest in all CIS countries. Given
the relatively low technological level of the agricultural infrastructure in Uzbekistan, attempts to increase
milk yields should focus on the basics, namely genetics, feed, and animal care. In practice, this means
attention to breed selection (mainly through artificial insemination, not so much through imports), feed
delivery channels, and veterinary services.
The survey results show that use of artificial insemination increases the milk yields by more than 30% in
both household cows and livestock farms. Milk yields in household cows increase from 925 kg/cow/year
without artificial insemination to 1210 kg/cows/year with artificial insemination; in livestock farms
artificial insemination raises milk yields from 1120 kg/cow/year to 1520 kg/cow/year (Table 4.11).
Table 4.11. The effect of artificial insemination on milk yields of household cows
Household cows
Livestock farms
(n=352)
Dekhkans (n=560)
Farmers (n=476)
All sample
Without artificial insemination
848
1011*
925*
1120*
Using artificial insemination
993
1382*
1210*
1518*
*Differences statistically significant at p=0.01.
Unfortunately, only a small proportion of dekhkans (less than 5%) are daring or innovative enough to use
artificial insemination. Most dekhkans continue with the traditional method of “taking the cows to the
bull”, although there are no complaints about the cost or the quality of the service. The practice of
artificial insemination is more widespread in application to “commercial” cattle in livestock farms (as
opposed to household cattle). Fully 12% of livestock farmers use artificial insemination for their
“commercial” herd (while only 4% of farmers bother with artificial insemination for their household
cattle; see Figure 4.6).
Figure 4.6. Frequency of artificial
insemination in households and livestock
farms.
Peasant farmers are completely satisfied with the quality of artificial insemination services (almost 90%)
and generally have no complaints about the cost or the accessibility. Those who do not use artificial
insemination either have a bull of their own on the farm (53%) or, like dekhkans, find it easier to “take
the cows to the bull” (40%). Judging by the difference in milk yields, the semen from the bulls used for
“domestic” insemination is far inferior to the genetic material used for artificial insemination. However,
Households: dekhkans Households: farmers Livestock farms
0
2
4
6
8
10
12
14 percent of farms with cattle
26
there is room for significant improvement even of the genetic material available for artificial
insemination in Uzbekistan.
Given the spectacular impact of artificial insemination on milk yields, policies should encourage public
awareness campaigns in favor of artificial insemination and should focus on making artificial
insemination broadly available to both dekhkans and farmers. Directed efforts should be made to
improve as much as possible the quality of semen used for artificial insemination by organizing
purchases from reputable sources.
Milk yields achieved by dekhkan households increase with the level of feed sufficiency. This fact was
elicited in responses to a strictly qualitative question, which asked for the dekhkans subjective evaluation
of feed sufficiency for their animals. The dekhkans characterized feed sufficiency on a three-level scale:
insufficient feed, feed just sufficient for the existing livestock, and feed available in optimal quantities. A
statistically significant increase of milk yields is observed as the quantity of feed available to the
household increases from insufficient to just sufficient and finally to optimal. Milk yields increase from
730 kg/cow/year in households that suffer from insufficient availability of feed to 840 kg/cow/year in
household where feed quantities are “just sufficient” and nearly 930 kg/cow/year in households that
indicate availability of “optimal” quantities of feed for their cattle (Figure 4.7).
The dependence of milk yields on feed sufficiency and a range of other factors was explored more
rigorously by regression analysis for dekhkans and livestock farmers separately. The results are
presented in a qualitative form in Table 4.12, where “+” indicates that the corresponding factor has a
statistically significant positive effect on milk yields: milk yields increase with the increase of that factor.
Figure 4.7. The effect of feed sufficiency
on milk yields: dekhkan farmers.
The main finding for our purposes is the positive effect of feed sufficiency on milk yields. Feed sufficiency
was estimated by calculating, in tons per cow, the quantity of purchased feed and feed grown on the
farm as reported in the survey. This represents use of high-quality feed, as distinct from low-quality feed
obtained by grazing on pastures. Indeed, while sufficiency of high-quality feed has a positive effect on
milk yield, reported sufficiency of grazing pastures does not have a statistically significant effect. This
may be an outcome of the general tendency among dekhkans to graze their cattle on the grass verges
along the roads, where feed quality is notoriously low. Thus, fully 52% of dekhkans resort to this grazing
strategy, compared with just 11% for livestock farmers, which may account among other things for the
farmers’ higher yields.
Insufficient Just sufficient Optimal
Quantity of feed
0
200
400
600
800
1000 milk yield, kg/cow/year
yield
27
Table 4.12. Factors determining milk yields for livestock farmers and dekhkans
Livestock
farmers
Dekhkans
Use of artificial insemination (yes/no)
+
+
Sufficiency of purchased and farm-grown feed (tons per cow)
+
+
Sufficiency of pasture for grazing (yes/no)
Not signif.
Not signif.
Human capital (experience)
+
+
“Age” of farm (years since creation of peasant farm)
(+)
(+)
Experience in agriculture (years)
(+)
(+)
Farmer’s previous experience (managerial/menial position)
Dekhkans educational attainment (highest level of schooling completed)
(+)
(+)
Another interesting factor is the positive effect of human capital on milk yields: milk yields are higher
when the farmer or the dekhkan is more experienced and has a higher educational attainment. In our
view, the human capital variables are proxies for the farmer’s willingness and ability to maintain a
comfortable and healthy environment for his livestock: a certain level of education and experience is
required before one realizes that animal health and general care are as important as feeding.
Not surprisingly, the use of artificial insemination (a binary yes/no variable) also has a positive effect on
milk yields, which increase when artificial insemination is practiced. This finding is consistent with the
basic conclusion in Table 4.11, but here it is obtained in a methodologically different way, looking at
artificial insemination in combination with other factors, and not on its own as previously. The regression
analysis only strengthens the previous finding related to the effect of artificial insemination.
What is the government’s role in all this? The importance of quality feed suggests that the government
should strive to improve feed marketing and supply channels, take care of feed quality standards and
monitoring, and also encourage scientific research to develop high-yield feed crops. It is only with the
assistance of science that Uzbekistan will be able to produce enough feed on its shrinking area of arable
land allotted to feed crops. The positive effect of human capital highlights the role that the government
should play in providing training, extension, and professional education to farmers and the entire rural
population. The cost of these public services will be easily recouped through increased milk yields.
Summary of policy lessons derived from the farm survey
The following list summarizes the main conclusions of the survey analysis in the form of policy lessons for
decision makers in Uzbekistan.
Per capita family income increases with the increase of land holdings and the size of the cattle
herd
Family wellbeing improves with the increase of land holdings and the number of cattle.
Dekhkan farms are not merely subsistence farms: despite of their small size, they actively engage
in sale of milk and meat they produce
Dekhkan milk producers that achieve higher efficiency and have more cows tend to sell a greater
share of their output
Artificial insemination has a positive effect on milk yields
Feed sufficiency and animal care increase milk yields
28
5. Conclusions and policy recommendations
The livestock sector contributes more than 40% of gross agricultural output in Uzbekistan,
supplementing cotton and wheat the country’s two main cash crops as the pillars of the national
food-security program. Livestock is an important source of income for rural families, contributing
according to the 2007 survey around 10% of family’s total income for dekhkan households.
Yet the livestock sector in Uzbekistan suffers from an anomalous skewed structure: virtually all the cattle
and dairy cows are in small dekhkan farms, with 1 or 2 animals per rural family. Milk production does not
exceed 5 kg per day one pail of milk partly consumed within the household and partly sold in the
market or to nearby dairies. And yet it is these one-pail-a-day farmers that sustain the dairy market in
Uzbekistan: according to informed estimates from the managers of the Nestle Company in Namangan
and Tashkent, 85% of milk sales are from such small family producers.
The small dekhkan farmers suffer from abysmally low milk yields less than 1,000 kg per cow per year.
This is the result of the dekhkan’s reluctance or inability to resort to advanced veterinary and extension
services, including artificial insemination, animal health care, and guidance or advice by livestock
extension agents. No less important is the grossly inadequate feed situation: the low quality of animal
feed that dekhkans can purchase is a serious obstacle to yield improvement.
The main policy recommendation of this study is therefore to improve the infrastructure of the livestock
sector, including feed quality, feed distribution, artificial insemination, and animal health. It is not
sufficient to create service points for the physical factors of production: it is additionally essential to train
and deploy extension agents and livestock specialists that will teach and encourage the dekhkans to
adopt better production practices in the interest of increasing yields and incomes. Simultaneous creation
of two distributed networks a network of service stations and a network of extension units must be
immediately implement to produce short term benefits.
Longer-term plans and policies should aim to improve the overall production and marketing efficiency of
the livestock sector by correcting its skewed structure. This was basically the idea behind the efforts to
create livestock farmers, i.e., operators with 50-100 cows that should be able to produce and market
more efficiently than one-cow dekhkans. However, livestock farmers today are a tiny minority: 9,000
farmers with about 5% of all cattle. Instead of creating livestock farms with 50-100 cows from scratch, a
better policy is to enable the small dekhkan households to gradually increase their herd from 1 cow to 5
cows, then perhaps to 10 cows, and so on, until they reach the limits of their managerial capacity and
skills. Not every dekhkan household will grow in this way, but many will take advantage of the policy so
as to improve their well-being.
This policy requires a focus on animal feed: one cannot expect efficient dairy production with 5-10 cows,
especially the animals are sent to graze on stubble in the fields or on dusty grass verges along the roads.
To produce feed, dekhkans need more land more than the maximum of 0.35 hectares of arable land
that they are allowed in law today. It is unpractical to rely on feed purchases from farmers who grow
feed crops: there are too many obstacles in Uzbekistan for smooth operation of this system. It is
therefore absolutely essential to re-evaluate the existing land allocation procedures with the intent of
finding a scheme to distribute more land to dekhkans for feed production. As our study has shown, more
land and more animals are bound to increase the incomes and improve the wellbeing of the rural
population.
29
An interim solution for increasing land under feed crops without revamping the land allocation
procedures is by abolishing state procurement contracts for cotton and wheat or at least by abandoning
the current rigid practice of setting the land areas that must be allocated to cotton and wheat. The state
procurement contracts, if not abolished entirely, should specify only the quantities of cotton and wheat
that farmers have to sell to the government, without specifying the area of land to be reserved for these
crops. If farmers are given the opportunity to optimize the cropping pattern (the “freedom to farm”
principle), they will have a greater incentive to produce the prescribed quantities of cotton and wheat
for government procurement on less arable land. As a result, significant areas of land would be released
for other crops, including feed crops such as corn and alfalfa, thus providing a sufficient feed base for
larger household herds. More animals, just like more land, is bound to raise family incomes and improve
the wellbeing of the rural population.
Acknowledgments
It is the authors pleasant duty to acknowledge the invaluable assistance with the collection of data and
background information that he received from a group of local collaborators in Tashkent: Aleksandr
Chertovitskii and Odil Akbarov from TIIM the Tashkent Institute of Irrigation and Melioration; Aziz
Rasulov and Abdurazak Khujabekov from UNDP/Tashkent and the Uzbek Ministry of Agriculture; and
Yakov Asminkin from Tahlil Sociological Research Organization. The author also benefited from excellent
cooperation and general support extended by Anvar Nasritdinov of UNDP/Tashkent, Abdumajid Sedirov
from the Uzbek Ministry of Agriculture, and David Ran-Radnitz from the Mashav Division of the Israeli
Ministry of Foreign Affairs. Fruitful discussions with two Israeli colleagues Zvi Roth from the Hebrew
University’s Department of Animal Science and Daniel Werner from the Cinadco Division of Israel’s
Ministry of Agriculture and Food have greatly contributed to the development of this article. The
opinions expressed in this article are solely the author’s.
References
All data used in Sections 1-3 are derived from official publications of the State Statistical Committee of
Uzbekistan:
Statistical Yearbook of Uzbekistan 2004, Tashkent (2005), in Uzbek and Russian;
Agriculture in Uzbekistan 2006, statistical yearbook, Tashkent (2007);
Uzbekistan in Numbers 2006, statistical yearbook, Tashkent (2007).
All data used in Section 4 are based on the farm-level survey carried out for UNDP in August 2007 by
Tahlil Sociological Research Organization in Tashkent.
The description of the reform processes in Section 2 draws on a background report (in Russian) prepared
in the summer of 2007 by Aleksandr Chertovitskii and Odil Akbarov from TIIM the Tashkent Institute of
Irrigation and Melioration.
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for Irrigation and River Rehabilitation.
7.07 Zvi Lerman – Land Reform, Farm Structure, and Agricultural Performance in
CIS Countries.
8.07 Ivan Stanchin and Zvi Lerman – Water in Turkmenistan.
9.07 Larry Karp and Yacov Tsur – Discounting and Climate Change Policy.
10.07 Xinshen Diao, Ariel Dinar, Terry Roe and Yacov Tsur – A General Equilibrium
Analysis of Conjunctive Ground and Surface Water Use with an Application
To Morocco.
11.07 Barry K. Goodwin, Ashok K. Mishra and Ayal Kimhi – Household Time
Allocation and Endogenous Farm Structure: Implications for the Design of
Agricultural Policies.
12.07 Iddo Kan, Arie Leizarowitz and Yacov Tsur - Dynamic-spatial management of
coastal aquifers.
13.07 Yacov Tsur and Amos Zemel – Climate change policy in a growing economy
under catastrophic risks.
14.07 Zvi Lerman and David J. Sedik – Productivity and Efficiency of Corporate and
Individual Farms in Ukraine.
15.07 Zvi Lerman and David J. Sedik – The Role of Land Markets in Improving
Rural Incomes.
16.07 Ayal Kimhi – Regression-Based Inequality Decomposition: A Critical Review
And Application to Farm-Household Income Data.
17.07 Ayal Kimhi and Hila Rekah – Are Changes in Farm Size and Labor Allocation
Structurally Related? Dynamic Panel Evidence from Israel.
18.07 Larry Karp and Yacov Tsur – Time Perspective, Discounting and Climate
Change Policy.
1.08 Yair Mundlak, Rita Butzer and Donald F. Larson – Heterogeneous
Technology and Panel Data: The Case of the Agricultural Production
Function.
2.08 Zvi Lerman – Tajikistan: An Overview of Land and Farm Structure Reforms.
3.08 Dmitry Zvyagintsev, Olga Shick, Eugenia Serova and Zvi Lerman –
Diversification of Rural Incomes and Non-Farm Rural Employment: Evidence
from Russia.
4.08 Dragos Cimpoies and Zvi Lerman – Land Policy and Farm Efficiency: The
Lessons of Moldova.
5.08 Ayal Kimhi – Has Debt Restructuring Facilitated Structural Transformation on
Israeli Family Farms?.
6.08 Yacov Tsur and Amos Zemel – Endogenous Discounting and Climate Policy.
7.08 Zvi Lerman – Agricultural Development in Uzbekistan: The Effect of Ongoing
Reforms.
... Households are limited by law to 0.35 hectares of irrigated land and cannot bid in tenders (Naumov and Pugach 2019). The only mechanism by which households may access new land is by applying to district authorities with a request for low-quality unirrigated land (up to two hectares), including an undertaking to improve this land at their own expense (Lerman 2008). This has resulted in a concentration of land amongst a small number of farmers, work on this land as labourers, sharecroppers or sub-leasers (Veldwisch andSpoor 2008, Djanibekov et al. 2013). ...
... Kazakhstan's membership of the Eurasian Economic Union (EAEU) (along with Kyrgyzstan) will lead to harmoni sation of standards and improved access to markets in Russia. Negotiations on harmonisation of veterinary and phytosanitary standards with countries such as China, Iran and Saudi Arabia, where demand for meat is strong, are ongoing (Ministry of Agriculture of the Republic of 15 The programme also organized sale of pedigree cattle through auctions to farmers between 2006 and 2010 and expanded microcredit for households (Lerman 2008 Kazakhstan 2018, OECD 2019). These efforts include animal identification and electronic traceability systems; abattoir improvement; and disease control programmes, recently rewarded by international recognition of Kazakhstan as a foot and mouth free zone (Oshakbayev and Bozayeva 2019). ...
... In Uzbekistan this pattern has been exaggerated by policy -with households specifically denied access to land or pasture and unable to independently buy feed on commodity exchanges, whilst the status of farmer is difficult to attain. This would not be an issue were households gainfully employed elsewhere but studies have shown that, taking all income sources into account, households are on average poorer than farmers (Lerman 2008). Farmers are also subject to unpredictable policy decisions such as forced consolidation, which sent a negative signal regarding the leasehold security (see also Djanibekov et al. 2012). ...
Article
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This paper presents an overview of the livestock sector in Central Asia using national statistics and field survey data. Growing consumer demand and underused pasture reserves suggest significant potential for growth. But production is fragmented between many small household producers with poor access to land, family farms and very large (but often inefficient) enterprises. Few producers can supply quality livestock products at high volumes, leading some meat and milk processors to favour imported produce. Peri-urban milk suppliers may participate in value chains through wholesalers, but in remoter areas farms specialise in meat production, reliant on long chains of intermediaries. Only in Kazakhstan do international agreements, slaughter and animal health arrangements favour export prospects in the near future. Since the 1990s, winter fodder deficits have limited livestock productivity. Domestic fodder production is increasing in Kazakhstan and Kyrgyzstan, but is hindered by state order policies in Turkmenistan and Uzbekistan. Dairy producers close to markets often provide high quality fodder, whilst need for supplements is lower amongst mobile meat producers with winter pasture. Amongst the latter, a class of large commercial operations is emerging, whilst smaller farms lacking access to grazing resources find it harder to grow. Government policy often magnifies differences between small and large producers, for example through conditions for subsidies or land access procedures. Subsidised credit is available in most republics but uptake is limited by effective demand. Improved public services, better support for service cooperatives and decentralised processing and slaughter facilities would help producers increase value from their livestock.
... It could be hypothesised that individual farms are specialised in agriculture whilst households, although holding a few livestock, are gainfully employed elsewhere. However, a number of studies have shown significant differences in annual income between farms and households in Uzbekistan (Lerman 2008) and in Tajikistan -where these differences are strongly connected to land access Guenther 2007, Robinson et al. 2010a). Access to land in Kyrgyzstan has been positively related to nutritional outcomes such as childhood gains in height and weight (Kosec and Shemyakina 2018). ...
... In Uzbekistan, a livestock sector programme initiated in 2006 included (i) provision of 100,000 cows for low-income families at the expense of sponsors and entrepreneurs; (ii) subsidised loans for livestock production and (iii) creation of field outlets for cotton husks and sunflower seed (Naumov and Pugach 2019). The programme also organized sale of pedigree cattle through auctions to farmers between 2006 and 2010 and expanded microcredit for households (Lerman 2008). There followed a short term increase in the number of farms specializing in livestock raising and in the overall number of livestock in farms, but this did not reverse the longer term trend of decreasing proportion of livestock in farms and enterprises compared to households. ...
Technical Report
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The SDG nexus Network (SDGNN) establishes a common research framework for the Sustainable Development Goals (SDGs), supporting research, networking and capacity building of scientists in Latin America and Central Asia. This report examines the livestock sector in Central Asia as one of the main research areas of the SDGNN. Based on a comprehensive review of the literature to date, we distinguish five major SDG trade-offs that we expect in three key areas: 1. Agricultural commercialisation may exclude smallholder farmers, and rising incomes may lead to dietary change with negative health outcomes, implying a trade-off between poverty reduction and zero hunger (SDGs 1 & 2) on the one hand and decent work and economic growth (SDGs 8 & 9) on the other. 2. More productive small livestock farmers may degrade environmental resources, and more diverse and nutritious diets through meat and milk products may overexploit feeding resources, implying a trade-off between poverty reduction and zero hunger (SDGs 1 & 2) on the one hand and water availability (SDG 6), life on land (SDG 15) and climate action (SDG 13) on the other. 3. At a sectoral scale, economic growth may put pressure on key resources for livestock husbandry, implying a trade-off between economic growth (SDGs 8 & 9) on the one hand and water availability (SDG 6), life on land (SDG 15) and climate action (SDG 13) on the other. We investigate the potential synergies and trade-offs within eight topical sections: farm restructuring and land reform; sustainable grazing systems; fodder production and irrigation; livestock species, genetic improvement and animal health; value chain development; human diet and health; livestock production and climate change; and services and policies for agriculture. We identify key research gaps in each area and thus present a research agenda for the SDG Nexus project in the area of livestock husbandry in Central Asia.
... In term of food security issue, wheat was considered as leading strategic crop for the country and obtaining grain self-sufficiency through increased wheat production was put forward as major strategic concern of Uzbek's agricultural policy ( Abdullaev et al., 2009 ). With results stemming from gradual agricultural reformations in the country, agricultural production received steady positive growth through the transition ( Lerman, 2008 ;Abdullaev et al., 2009 ;Kienzler et al., 2011 ). However, due to unfavorable climatic conditions over the last two decades, agricultural productivity is still remaining lower and there were significant losses on crop yield, with more than 30% for cotton and 15% for wheat in the country ( Müller, 2006 ;FAO, 2018 ). ...
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Analyzing climate change's consequences is more complex for irrigated agriculture compared to rainfed. There are still limited researches that has considered the interactive effects of irrigation and climate variables regardless the fact that a broad range of climate studies was already involved in international literature. In this view, this study aimed at exploring the cross effects of irrigation with climate on farm output using ex-post assessment technique in Uzbekistan, where agriculture contributes for a large portion of the national GDP and irrigation water is becoming scarce. We applied a Stochastic Frontier Approach (SFA) with panel data from the central-eastern part of Uzbekistan for the period of 2013-2018, which includes a sample of 2,135 wheat and 1,141 cotton growers. The analysis revealed that climate factors have diverse influence by crop types across the region. Increased warming would be harmful for wheat farmers: a one-degree Celsius rise in average temperature between March and June could lead to up to 60% losses of total yields on wheat-growing farms, although precipitation has a positive significant effect. In contrast, increased temperatures are beneficial for cotton-growing farmers but excessive rainfall during the months of May-September could lead to 3% losses of total yields on cotton-growing farms. It's expected that both wheat and cotton growing farmers will suffer from temperature increases and excessive precipitation on their farms in the near future. More importantly, the interaction effects of irrigation and climate variables show that the cross effects of applied irrigation and mean temperature have highly significant positive impacts on the total yields of both wheat and cotton growing farmers in the study region. Thus, productivity in the region could be improved when enough water is available and more efficient irrigation techniques are used, otherwise declines in productivity could be witnessed.
... Uzbekistan has forwarded gradual transition from planned to market-oriented economy through agricultural reformations, including specialization, farm restructuring, land ownership, market liberalization, production efficiency and supporting market infrastructure from the beginning of independence years [22,23,24]. The undertaken gradual reformations were mostly addressed to change property rights in agricultural sector so as to improve farm income through increasing the volume of agricultural production [25,26]. As shown in Figure 1, there is gradual positive growth on gross agricultural production in the country. ...
... Uzbekistan has forwarded gradual transition from planned to market-oriented economy through agricultural reformations, including specialization, farm restructuring, land ownership, market liberalization, production efficiency and supporting market infrastructure from the beginning of independence years [22,23,24]. The undertaken gradual reformations were mostly addressed to change property rights in agricultural sector so as to improve farm income through increasing the volume of agricultural production [25,26]. As shown in Figure 1, there is gradual positive growth on gross agricultural production in the country. ...
... In these countries, the state procurement system has already been abolished, but this has not led to the collapse of agriculture. Here, the production of some strategic crops is stimulated by crop placement systems, direct budget payments to farmers and relevant government programs aimed at increasing productivity, improving product quality, as well as protecting them from pests and diseases [13,14]. This approach is different from the existing state cotton and wheat production support systems in Uzbekistan. ...
Article
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The purpose of the study is to analyze the future prospective development of the agricultural sector of the Republic of Uzbekistan, in the context of the current pandemic. The study of this topic is of particular interest, since the pandemic around the world includes all spheres of the field of life. The pandemic negatively affected the development of the agricultural sector, which led to a recession. In this regard, the authors of this study tried to study the current state and consequences of the impact of the pandemic, and make appropriate recommendations. In the course of writing the work, the land rights of farmers, the food market, the level of modernization of agro-industrial production were studied. A theoretical method of analysis is used, data for the last 5 years, from 2015 to the present, are analyzed. The data characterizing the agrarian state of the Republic are grouped by regions and by branches of agriculture. With the help of deduction methods, proposals were made to improve the state of the agrarian sector. The study identified measures to further strengthen food security not only in the country, but throughout the world. The decisive factor should be the national agriculture strategy of the Republic of Uzbekistan for 2019-2030, which will contribute to the implementation of the proposed measures to ensure the well-being of the population.
Thesis
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As the world population increases and cropland expansion occurs, there will be a high need in the food supply soon which will require higher agricultural yields. Crop yield estimation, management, and production assessments at the regional and country-level are very important in Uzbekistan which requires supplemental spatial data that provides timely information on crop type's spatial distribution, condition, and potential yields. Crop-type identification at the local and regional level is very important in agricultural regions in developing countries where it contributes the main share of the country's GDP. Nowadays the number of satellites and free availability of these data with the integration of multi-sensor images offers coherent time series which gives new opportunities for land cover and crop type classification. Poor or developing countries compile their agricultural statistics in tabular form by their provincial administrative areas, which gives no information about the exact locations where specific crops are cultivated. Such data is poorly suited for early warning and assessment of crop production. 5-Daily Sentinel and 16-Daily Landsat satellites image time series of Tashkent Province, Uzbekistan, acquired in 2018 in combination with reported crop area statistics were used to produce the required crop types map. Three well-known machine learning algorithms Support Vector-Machine, Random Forest, and Maximum Likelihood classifications were used to derive crop types maps and compared for recommended suitable methods. Four indices NDVI, EVI, NDWI1, and NDWI2 were calculated using blue, green, near-infrared, SWIR 1, and SWIR 2 bands and used as input data. Firstly, based on the literature review it was found that only limited research was carried out to identify irrigated croplands by crop types at the provincial level. Most of the available land use land cover maps have low resolution and classified crop types as croplands or agriculture. Besides, we have not found any research which compares derived crop types area with official state statistics at the provincial level in the study area. Thus, it is very important to recommend an accurate and timely crop types 2 mapping method for the local land control and management authorities and policy makers. Preliminary climate change analysis over the 35 years of 1979 through 2013 demonstrated the increasing trend of temperature and decreasing trend of precipitation over the croplands, pasturelands, and grasslands of the study area. Precipitation decrease in the study area may reduce plant productivity and temperature increase may have either positive or negative influence on plant production due to more evaporation than precipitation. Besides, expansion of agricultural irrigated cropland and population increase has a significant influence on land-use intensity. Secondly, a comparison of three classifiers algorithms SVM, RF, and MLC performance was studied and the result showed SVM and RF classifiers produced a visually pleasant and realistic irrigated cropland map in the research area. Accuracy assessment results showed that SVM yielded the highest OA and KA. KA of classified images for SVM were 0.90 and 0.89 for the RF algorithm. Both performed well and achieved identical close values. But MLC showed a lower result of KA 0.60. Thirdly, further analysis of testing different indices (NDVI, EVI, NDWI1, and NDWI2) with recommended SVM and RF classifiers using Sentinel-2 and Landsat-8 sensors data were carried out. The results of OA, KA, UA, and PA have shown that RS imagery from both sensors is of comparable quality. But the differences in accuracy results vary higher based on the vegetation indices used than on sensor data. KA values vary between 75% to 88 % in all indices. The lowest KA values were achieved in all indices with the SVM classifier of L8 sensor data. The highest KA values 88% and 87% were achieved with the RF classifier of L8 data when EVI and EVI-NDVI were used respectively. Using NDWI 1 and NDWI 2 which uses SWIR 1 and SWIR 2 bands is not achieved good results in both accuracies point and area comparison and it is not recommended for irrigated crop types mapping. Fourthly, the difference between remote sensing derived classified maps area and officially recorded statistic crops area was compared. It was found that the smallest absolute weighted average value difference of 0.2 thousand ha was obtained using EVI-NDVI with RF method and NDVI with SVM method of Landsat 8 sensor data. For Sentinel 2 sensor data, the smallest absolute value difference result of 0.1 thousand 3 ha was obtained using EVI with RF method and 0.4 thousand ha using NDVI with SVM method. Finally, it can be recommended that using medium 30 m resolution Landsat sensor data is sufficient for mapping irrigated crop types over the study area, and since the launch of this satellite in 1972, historical irrigated cropland mapping is possible for the period up to today. Besides, the recent successful launch of Landsat-9 will successfully continue the Landsat data suite and enable new opportunities in the joint use of Landsat and Sentinel data to capture high temporal resolution during the vegetation growth period which helps to distinguish other minor crop types as well as increase classification accuracy. Classified irrigated crop types maps can benefit regional land management administration offices to monitor the spatial extent of crops location and its monitoring as well as modeling and predicting crop yields and production by different agroecological models. And also, the use of remote sensing-based irrigated crop types data periodically to monitor and evaluate agricultural land uses which can save time, effort, and capital that are needed for traditional human-based ground surveys.
Chapter
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Tarım insan hayatında temel ihtiyaç olan gıda mallarını üretmesi nedeniyle büyük bir öneme sahiptir ve ülkeler için stratejik bir unsurdur. Orta Asya Türki Cumhuriyetlerinde ve Türkiye’de tarım sektörü önemli bir yere sahiptir. Dolayısıyla bu ülkelerde tarım sektörünün Gayrisafi Yurtiçi Hasıla (GSYH) içerisindeki payı da oldukça fazladır. Çalışmada, Orta Asya Türki Cumhuriyetlerinde (Kazakistan, Kırgızistan, Özbekistan, Tacikistan ve Türkmenistan) ve Türkiye’de uygulanan tarım politikalarına yer verilmiştir. Bu çalışma ile Orta Asya Türki Cumhuriyetlerinde ve Türkiye’de önemli yeri olan tarım sektöründe, uygulanan politikalar ortaya konularak karşılaştırılmaya çalışılmıştır.
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Accurately mapping land use and land cover including agricultural use and the state of crops at various stages is important to address specific agro-ecological challenges, to implement sustainable agricultural practices, and monitor crops periodically. This study aims to provide a timely and accurate main irrigated crop types mapping at 10m resolution for Tashkent province based on multi-temporal Sentinel-2 data acquired for the growing season in 2018. This paper shows the potential use of multitemporal Sentinel-2 satellite data to derive an up-to-date irrigated crop types classification map of the study area. As single-date satellite imagery does not allow proper cropland classification, multitemporal and high-resolution Sentinel-2 data was used to capture small cropland fields and specific crop types for the vegetation period (April to October 2018). NDVI monthly profiles of crop types as well as additional 10 m resolution bands 2 and 3 were used as input data to perform and assess three classification algorithms: Support Vector Machine (SVM), Random Forest (RF), and Maximum Likelihood Classification (MLC). Accuracy assessment results showed that SVM showed the highest Overall Accuracy (OA) and Kappa Accuracy (KA). KA of classified images for SVM were 0.90 and 0.89 for the RF algorithm. Both performed well with close values. But MLC showed a lower result of KA 0.60. The paper also compares the area of derived irrigated cropland area with data from the State Committee for Statistics of Uzbekistan for selected crop types. Values for the crops "cotton" and "wheat" derived by SVM and RF methods show a high correlation with the provided statistical data. Based on the results, the SVM classification method is recommended for further mapping and monitoring of irrigated crop types in the region when Sentinel-2 data is used.
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In this paper, we adapt Burtless and Hausman's (1978) methodology in order to estimate farmer's demand for irrigation water under increasing block-rate tariffs and empirically assess its effect on aggregate demand and inter-farm allocation efficiency. This methodology overcomes the technical challenges raised by increasing block rate pricing and accounts for both observed and unobserved technological heterogeneity among farmers. Employing a micro panel data documenting irrigation levels and prices in 185 Israeli agricultural communities in the period 1992-1997 we estimate water demand elasticity at -0.3 in the short run (the effect of a price change on demand within a year of implementation) and -0.46 in the long run. We also find that, in accordance with common belief, switching from a single to a block price regime, yields a 7% reduction in average water use while maintaining the same average price. However, based on our simulations we estimate that the switch to block prices will result in a loss of approximately 1% of agricultural output due to inter-farm allocation inefficiencies.
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The paper presents a comparative analysis of the productivity of small and large farms in Moldova based primarily on cross-section data from three farm surveys conducted by the World Bank and USAID in 2000 and 2003. The survey data are supplemented where feasible with time series from official national-level statistics. We calculate partial land and labor productivity, total factor productivity, and technical efficiency scores (using Stochastic Frontier and Data Envelopment Analysis algorithms) for the two categories of small individual farms and large corporate farms. Our results demonstrate with considerable confidence that small individual farms in Moldova are more productive and more efficient than large corporate farms. This finding is not restricted to Moldova, as a similar result has been obtained by other authors in Russia (2005) and in the U.S. (2002), where a recent study has found that an increase of farm size reduces, rather than increases, agricultural productivity. Policies encouraging a shift from large corporate farms to smaller individual farms, rather than the reverse, can be expected to produce beneficial results for Moldovan agriculture and the economy in general. The government of Moldova should abandon its inherited preference for large-scale corporate farms and concentrate on policies to improve the operating conditions for small individual farms. At the very least, the government should ensure a level playing field for farms of all sizes and organizational forms, and desist from biasing its policies in favor of large farms.
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The effect of negative information on consumer product evaluations has been studied heavily in the context purchase intentions and other preference-related measures. In this study, we examine the context (negative health hazard information on meat commodities), direction (positive and negative), and intensity (low and high) of information on consumer choice processes. We draw from the literature on Bayesian updating, choice processes and heuristics, as well as cognitive and information processing to propose a set of hypotheses and empirically test them using survey data. Our results indicate that under low intensity, information consumers tend to employ a non-compensatory type choice process with the health aspects of the product being nonsalient. In the case of high-intensity negative information, consumers employ a compensatory choice process and consider the health dimension of the product. These results are mainly attributed to variations in the allocation of consumer cognitive resources in the decision-making process as a result of the different types of information, changing it from peripheral to central, and affecting the decision strategy and choices. The results may provide insight into how to design better marketing and media strategies in response to unfavorable information about health hazards.