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To mitigate the regional gap in agricultural productivity, the policy prescription would be more and more investment in the lagged region, extension of public and private credit in remote rural areas. Development of research focusing the development of dry land area, development of technology requiring less water, less fertilizer and cheap farming...
Contexts in source publication
Context 1
... Andhra Pradesh (Rs 260346 per ha) was closely followed by Tamil Nadu (Rs 259921 per ha) which witnessed higher productivity levels among states. Also, Figure 1 visualizes the interstate agricultural productivity during 2015-16 at current prices. The map divides the states into three categories on the basis of their agricultural productivity levels: high (green), medium (yellow) and low (red). ...
Context 2
... like J&K, Himachal Pradesh, Kerala etc. fall in the green zone because of plantation crops and also show low growth rates. On the contrary, the states for instance Odisha, Madhya Pradesh and Gujarat fall in the low productivity zone (red) (Figure 1) had shown the higher growth rates in agricultural productivity viz., 6.12per cent; 5.75per cent and 5.54 per cent. Since most of these states adopted and implemented various market reforms and farm friendly policies. ...
Context 3
... shown in Figure 2, convergence is tested by regressing of growth rate of agriculture productivity with log of initial agricultural productivity across states. The result is displayed in Figure 1. Downward slopping curve indicates a trend of convergence over the study period among states of India in terms of agricultural productivity. ...
Citations
... Increased agricultural growth became a matter of concern for the various policy makers (Chand et al. 2007). Number of studies has been conducted on regional disparities in agriculture (Mohanty, 2009;Ohlan, 2013;Singh & Kaur, 2018) at the state and national level with the application of different tools. Uttar Pradesh possessing the largest number of districts in India exhibits the variations in agricultural productivity in various districts. ...
Uttar Pradesh with the advantage of its larger size contributed 18.9 per cent of cereals, 8.65 per cent of pulses, 3.65 per cent of oilseeds and 46.56 per cent of sugarcane to the country during 2017-18. This study has been conducted to explore the trends, patterns and spatial variations of agricultural growth in Uttar Pradesh. Furthermore, the study builds the phases of agricultural growth and clustering of districts. It has been well established from the analysis that the western part is more developed in terms of agriculture than other parts of Uttar Pradesh. Results of Bai and Parron test established four break points (1999-00, 2006-07, 2011-12 and 2016-17) in agricultural productivity of the state. The growth pattern of agriculture of the state was found to be cyclical. Moreover, the averages values of development indicators were estimated to be different. Consequently, level of agriculture also varied across regions in Uttar Pradesh. To reduce the gap between levels of development, it is necessary that less developed regions should catch up the average level of the developed regions. State should make different region specific policies instead of state as a whole.
... The sector is directly linked to the overall development of food, nutrition security, poverty and economics for the country. Nevertheless, there was a huge difference in the growth rate among states (Dreze, Sen & Hussain, 2006;Singh & Kaur, 2018;Singh, Singh, Singh, Tomar & Sachdeva, (2018);. Madhya Pradesh had 19 percent of the total land area of the country and pro dominant of the agrarian economy. ...
Madhya Pradesh state is growing rapidly in the agricultural agriculture sector since last few years. The State is making a significant contribution to the country's vegetable oil production. Soyabean crop is produced on a large scale. The objective of the study was to examine the farm size and productivity relationship of soyabean cultivation in Madhya Pradesh empirically. In the present study, unit-level secondary data published by DES were used. The results showed positive relationship between farm size and productivity. Agriculture is the primary source of livelihood for small farmers, although the size of the farm was small but was looked after with the help of family members. Nevertheless, the use of high yielding variety seeds (HYV) and the use of modern technology resulted in to direct relationship between farm size and productivity. Soybean productivity had a positive and significant relationship with use of labour machinery, that chemical fertilizers, manure and pesticides. However, at the same time, it was found that use of animal, seeds and irrigation machines had a significant negative relation with productivity.
... The sector is directly linked to the overall development of food, nutrition security, poverty and economics for the country. Nevertheless, there was a huge difference in the growth rate among states (Dreze, Sen & Hussain, 2006;Singh & Kaur, 2018;Singh, Singh, Singh, Tomar & Sachdeva, (2018);. Madhya Pradesh had 19 percent of the total land area of the country and pro dominant of the agrarian economy. ...
... Agricultural growth in the country has remained uneven across states. ( Dreze et al., 2006;Singh and Kaur, 2018;). The states like Punjab, Haryana and western part of Utter Pradesh got early benefits of green revolution and grew at a faster rate. ...
Madhya Pradesh witnessed highest agricultural growth of 9.5 per cent a year during 2005-06 to 2014-15 among all Indian States. The last six years (2009-10 to 2014-15) were more spectacular for the state because agriculture grew at 15.4 per cent a year. It is interesting to know whether all districts of the state equally benefited and whether inter-district agricultural productivity is converging or diverging. In this paper, we have examined agricultural performance during different periods, tested inter-district convergence in growth and identified drivers of productivity variations in Madhya Pradesh. The study finds that due to appropriate development policies, agriculture sector witnessed structural change in its growth trajectory first in 2002-03 and again in 2009-10. It is also found that irrigation coverage, credit disbursement, NPK use and crop diversification were the major sources of inter-district productivity variations. The districts exhibited divergence rather than converging pattern of agricultural growth during the past decade. The findings suggest for special focus on the disadvantaged districts of the state for the inclusive and sustainable agricultural growth.
The study has been done on the determinants of accountability of 6 major crops of the State of Haryana from the year 1980-2018. These major crops have been selected as they cover about 85% of the gross cropped area of the state. It has been observed that the two crops, wheat and paddy, have been growing in rotation as the main crop during this period. The study has validated the results of Narlovion model of area responsiveness. It has been identified that the lagged area, lagged price, and the volatility in price and yield shows the main determinants of area allocation. Furthermore, the study shows the growth trends of area, production and yield of wheat and paddy crop has been positive due to stability in yield, price and insured marketing. The promotion of a more diversified cropping pattern has a prequest condition for the state to achieve sustainable growth. But farmers will not move towards diversification unless they are encouraged by economically attractive alternatives.
Keywords: Agriculture, growth trend, acreage response, price risk, yield risk, area effect, yield effect
