ArticlePDF Available

Global Demand for Food Is Rising. Can We Meet It?

Authors:

Abstract

Over the last century, the global population has quadrupled. In 1915, there were 1.8 billion people in the world. Today, according to the most recent estimate by the UN, there are 7.3 billion people — and we may reach 9.7 billion by 2050. This growth, along with rising incomes in developing countries (which cause dietary changes such as eating more protein and meat) are driving up global food demand.
GOVERNMENT
Global Demand for Food Is
Rising. Can We Meet It?
by Maarten Elferink and Florian Schierhorn
APRIL 07, 2016
Over the last century, the global population has quadrupled. In 1915, there were 1.8 billion
people in the world. Today, according to the most recent estimate by the UN, there are 7.3
billion people —and we may reach 9.7 billion by 2050. This growth, along with rising
incomes in developing countries (which cause dietary changes such as eating more protein
and meat) are driving up global food demand.
Food demand is expected to increase anywhere between 59% to 98% by 2050. This will
shape agricultural markets in ways we have not seen before. Farmers worldwide will need
to increase crop production, either by increasing the amount of agricultural land to grow
crops or by enhancing productivity on existing agricultural lands through fertilizer and
irrigation and adopting new methods like precision farming.
However, the ecological and social trade-offs of clearing more land for agriculture are often
high, particularly in the tropics. And right now, crop yields —the amount of crops
harvested per unit of land cultivated —aregrowing too slowly to meet the forecasted
demand for food.
Many other factors, from climate change to urbanization to a lack of investment, will also
make it challenging to produce enough food. There is strong academic consensus that
climate change–driven water scarcity, rising global temperatures, and extreme weather will
have severe long-term effects on crop yields. These are expected to impact many major
agricultural regions, especially those close to the Equator. For example, the Brazilian state
of Mato Grosso, one of the most important agricultural regions worldwide, may face an
18% to 23% reduction in soy and corn output by 2050, due to climate change. The
Midwestern U.S. and Eastern Australia — two other globally important regions — may also
see a substantial decline in agricultural output due to extreme heat.
Yet some places are expected to (initially) benefit from climate change. Countries stretching
over northern latitudes — mainly China, Canada, and Russia —are forecasted to experience
longer and warmer growing seasons in certain areas. Russia, which is already a major grain
exporter, has huge untapped production potential because of large crop yield gaps (the
difference between current and potential yields under current conditions) and widespread
abandoned farmland (more than 40 million hectares, an area larger than Germany)
following the dissolution of the Soviet Union, in 1991. The country arguably has the most
agricultural opportunity in the world, but institutional reform and significant investments
in agriculture and rural infrastructure will be needed to realize it.
Advanced logistics, transportation, storage, and processing are also crucial for making sure
that food goes from where it grows in abundance to where it doesn’t. This is where soft
commodity trading companies, such as Cargill, Louis Dreyfus, or COFCO, come in. While
Big Food companies such as General Mills or Unilever have tremendous global influence on
what people eat, trading companies have a much greater impact on food security, because
they source and distribute our staple foods and the ingredients used by Big Food,from rice,
wheat, corn, and sugar to soybean and oil palm. They also store periodically produced
grains and oilseeds so that they can be consumed all year, and they process soft
commodities so that they can be used further down the value chain. For example, wheat
needs to be milled into flour to produce bread or noodles, and soybeans must be crushed to
produce oil or feed for livestock.
Nonetheless, even if some regions increase their output and traders reduce the mismatch
between supply and demand, doubling food production by 2050 will undeniably be a
major challenge. Businesses and governments will have to work together to increase
productivity, encourage innovation, and improve integration in supply chains toward a
sustainable global food balance.
First and foremost, farmers, trading companies, and other processing groups (Big Food in
particular) need to commit to deforestation-free supply chains. Deforestation causes rapid
and irreversible losses of biodiversity, is the second largest source of carbon dioxide
emissions after fossil fuels, and has contributed greatly to global warming—adding to the
negative pressure on agriculture production for which these forests were cleared in the first
place.
Farmers must also grow more on the land they currently operate through what is called
“sustainable intensification.” This means using precision farming tools, such as GPS
fertilizer dispersion, advanced irrigation systems, and environmentally optimized crop
rotations. These methods can help produce more crops, especially in parts of Africa, Latin
America, and Eastern Europe with large yield gaps. They can also reduce the negative
environmental impacts from over-stressing resources–preventing groundwater depletion
and the destruction of fertile lands through over-use of fertilizer.
The agricultural sector also needs significant long-term private investment and public
spending. Many large institutional investors, including pension funds and sovereign wealth
funds, have already made major commitments to support global agricultural production
and trading in recent years—not least because agricultural (land) investments have
historically delivered strong returns, increased diversification, and outpaced inflation.
Still, investment in agriculture in most developing countries has declined over the last 30
years and much less is spent on R&D compared to developed countries—resulting in low
productivity and stagnant production. And because banking sectors in developing
countries give fewer loans to farmers (compared to the share of agriculture in GDP),
investments by both farmers and large corporations are still limited. To attract more
financing and investment in agriculture, the risks need to be reduced by governments.
Regulators need to overhaul policies that limit inclusion of small, rural farmers into the
financial system— for example, soft loans (i.e., lending that is more generous than market
lending) and interest rate caps discourage bank lending. More supportive policies, laws,
and public spending on infrastructure would help create a favorable investment climate for
agriculture.
Global policy makers, corporations, and consumers must put the global food balance
higher up the agenda. International business leaders who are participating in this supply
chain have to better communicate the need for policy changes and for developed countries
to incentivize investment in regions where there is the most potential for growth. Our food
security will depend on it.
Maarten Elferink is the founder and Managing Director of Vosbor, an Amsterdam based commodity
service and solutions provider dedicated to sustainability, originating soft commodities and derivative products
selectively in Eastern Europe and the FSU for distribution in the Asia-Pacific region.
Florian Schierhorn
Florian Schierhorn is a post-doctoral researcher at the Leibniz Institute of Agricultural Development in
Transition Economies in Halle, Germany and was selected for participation in the Lindau Nobel Laureate Meeting
on Economic Sciences in 2014. His overall research relates to the question of how to meet global food security
without increasing pressure on land.
Related Topics: POLICY | PUBLIC-PRIVATE PARTNERSHIPS | INTERNATIONAL BUSINESS
This article is about GOVERNMENT
FOLLOW THIS TOPIC
Comments
Leave a Comment
POST
REPLY 0 0
6 COMMENTS
ANDREW JEFFREYS a day ago
One important factor not mentioned - food waste. Conservative estimates indicate Western households
throw out 20 - 30% of purchased food for fairly dubious reasons - let alone the tonnes of food discarded by
restaurants etc. Food was a precious commodity in times past when the effort required to obtain it was far
greater than now. Plenty of 'low hanging fruit' there.
POSTING GUIDELINES
We hope the conversations that take place on HBR.org will be energetic, constructive, and thought-provoking. To comment, readers must
sign in or register. And to ensure the quality of the discussion, our moderating team will review all comments and may edit them for clarity,
length, and relevance. Comments that are overly promotional, mean-spirited, or off-topic may be deleted per the moderators' judgment.
All postings become the property of Harvard Business Publishing.
JOIN THE CONVERSATION
... Global demand for food is projected to increase with the expansion of the human population, escalating climate risks, and deterioration of agricultural land (Hunter et al., 2017;Elferink and Schierhorn, 2016;Agrimonti et al., 2021). The crop improvement needs to be more than doubled by 2030 to accommodate these future needs (Elferink and Schierhorn, 2016). ...
... Global demand for food is projected to increase with the expansion of the human population, escalating climate risks, and deterioration of agricultural land (Hunter et al., 2017;Elferink and Schierhorn, 2016;Agrimonti et al., 2021). The crop improvement needs to be more than doubled by 2030 to accommodate these future needs (Elferink and Schierhorn, 2016). The new technologies might prove critical to accelerate the research and development of climate-ready crops, which require precise crop characterization (i.e., phenotyping) (Furbank and Tester, 2011). ...
Article
Full-text available
A R T I C L E I N F O Keywords: Accuracy of plant trait prediction Crop phenotyping Image quality UAV-Based sensing A B S T R A C T The Unmanned aerial vehicles (UAVs)-based imaging is being intensively explored for precise crop evaluation. Various optical sensors, such as RGB, multi-spectral, and hyper-spectral cameras, can be used for this purpose. Consistent image quality is crucial for accurate plant trait prediction (i.e., phenotyping). However, achieving consistent image quality can pose a challenge as image qualities can be affected by i) UAV and camera technical settings, ii) environment, and iii) crop and field characters which are not always under the direct control of the UAV operator. Therefore, capturing the images requires the establishment of robust protocols to acquire images of suitable quality, and there is a lack of systematic studies on this topic in the public domain. Therefore, in this case study, we present an approach (protocols, tools, and analytics) that addressed this particular gap in our specific context. In our case, we had the drone (DJI Inspire 1 Raw) available, equipped with RGB camera (DJI Zenmuse x5), which needed to be standardized for phenotyping of the annual crops' canopy cover (CC). To achieve this, we have taken 69 flights in Hyderabad, India, on 5 different cereal and legume crops (∼ 300 genotypes) in different vegetative growth stages with different combinations of technical setups of UAV and camera and across the environmental conditions typical for that region. For each crop-genotype combination, the ground truth (for CC) was rapidly estimated using an automated phenomic platform (LeasyScan phenomics platform, ICRISAT). This data-set enabled us to 1) quantify the sensitivity of image acquisition to the main technical, environmental and crop-related factors and this analysis was then used to develop the image acquisition protocols specific to our UAV-camera system. This process was significantly eased by automated ground-truth collection. We also 2) identified the important image quality indicators that integrated the effects of 1) and these indicators were used to develop the quality control protocols for inspecting the images post accquisition. To ease 2), we present a web-based application available at (https://github.com/GattuPriyanka/Framework-for-UA V-image-quality.git) which automatically calculates these key image quality indicators. Overall, we present a methodology for establishing the image acquisition protocol and quality check for obtained images, enabling a high accuracy of plant trait inference. This methodology was demonstrated on a particular UAV-camera setup and focused on a specific crop trait (CC) at the ICRISAT research station (Hyderabad, India). We envision that, in the future, a similar image quality control system could facilitate the interoperability of data from various UAV-imaging setups .
... Food safety is emerging as a critical concern in the face of increasing population, climate change, pandemic lockdowns, regional conflicts and trade embargoes [13]. With the world population projected to reach 9.7 billion by 2050, the challenge of boosting crop yields is compounded by the shrinking arable land due to rapid industrialization and urbanization [29]. This necessitates the adoption of more innovative and technologically advanced methods to maximize the use of valuable natural resources. ...
... Spain is the tenth largest agri-food power in the world and the fourth largest agricultural area within the European Union [1]. In recent decades, the use of fertilizers has played a crucial role due to their great contribution to intensifying agricultural production in response to the increasing demand for food products by the growing global population [2]. In this context, the Spanish fertilizer industry has experienced a growing demand for its products, facing a continuing challenge to enhance production, efficiency, and product quality [3]. ...
Article
Full-text available
In the pursuit of operational excellence and enhanced competitiveness, a wide range of industries have turned to methodologies such as Lean and Six Sigma; however, in the chemical sector, their application is very limited. This paper presents a Lean Six Sigma framework to identify and reduce sources of variability occurring in the final product composition of a Spanish SME fertilizer manufacturer. The company faced important challenges related to product variability, adversely affecting overall productivity. A real-life case of the Lean Six Sigma implementation was conducted over two years, and its applicability and ability to improve productivity performance were thoroughly assessed. The proposed framework successfully integrated Lean and Six Sigma methodologies, i.e., process mapping (value stream mapping), root cause analysis (Ishikawa cause–effect diagram), project management (SIPOC and DMAIC), and statistical process control, and demonstrated practical benefits for the case company by identifying the key variables affecting product variability and determining their optimal levels. A substantial 50% reduction in the variability of several products and a 42% reduction in material preparation time were achieved. These reductions resulted in a 40% reduction in costs associated with product losses and a 54% reduction in costs from raw material losses.
... The world's population is anticipated to rise enormously from the current 7.7 billion to exceed 9.7 billion by 2050 (Van Dijk et al., 2021). As a consequence of this exponentially increasing global population, food demand is also expected to increase by 59-98%, globally (Godfray et al., 2010;Elferink & Schierhorn, 2016). Given such increase in food demand, increasing agricultural production by approximately 60-70% is paramount in order to provide sufficient food for the global population in 2050 (Van Dijk et al., 2021). ...
Article
Full-text available
Purpose: The study was conducted to evaluate growth, physiological, morphological and yield response of gem squash plants following soil drench application of different plant extracts. Research method: A pot experiment conducted in the glasshouse was laid out following complete randomized design (CRD), with five replications. Thirty healthy, similar-sized gem squash plants were grown and treated with different treatments (plant extracts).Treatments included: Ascophyllum nodosum extract (ANE), aloe vera leaf extract (ALvE), garlic bulb extract (GBE), ginger rhizome extract(GRE), moringa leaf extract (MLE) and the control (no application).Findings: The soil drench application of plant extracts, especially ANE and MLE, had the best growth response of gem squash plants compared with other treatments and the control. Plants treated with ANE and MLE produced a greater number of leaves and branches and simultaneously produced broader leaf area compared to other plant extracts and the control. ANE-treated plants produced the highest leaf chlorophyll concentration, followed by ALvE and MLE. All plant extracts, ANE, MLE, ALvE and GBE, significantly increased the total dry biomass, except GRE was not significantly different from the control. The yield parameters, viz. total fruit yield, fruit mass and fruit diameter, were positively affected by all treatments applied, although ANE- and MLE-treated plants yielded the largest number of fruit/plants, heaviest fruit and biggest fruit compared to other treatments. Research limitations: There were no limitations identified. Originality/Value: Although further studies on plant extracts usage are still required, this study highlight the potential of plant extracts, especially ANE and MLE, as a natural biostimulants to improve growth and yield attributes of gem squash has been demonstrated
Article
Full-text available
Lojistik uzmanlık gerektiren gıda tarım ürünlerinde kayıp, hasar ve zayiat oranları oldukça yüksektir. Bu açıdan bakıldığında hem tedarik zinciri süreçlerinde hem de lojistik süreçlerinde gıda-tarım ürünleri etkin ve verimli yönetilmelidir. Etkin ve verimli yönetilmenin temel esasları ise izlenebilir ve şeffaf bir yapının tesis edilmesidir. Bu hususların başarılı bir şekilde gerçekleşmesinin temelinde ise teknoloji kavramı bulunmaktadır. Bu çalışmada tarım gıda sektöründe tedarik zinciri faaliyetlerinde ve lojistik faaliyetlerde endüstri 4.0 teknolojilerinin açıklanması ve yerli literatüre kazandırılması amaçlanmıştır. Bu amaç kapsamında son yıllarda hayatımıza giren Endüstri 4.0 teknolojilerinin tarım-gıda tedarik zincirlerinde ve lojistik faaliyetlerinde kullanım süreci detaylı bir şekilde ele alınmaktadır. Tüm sektörleri ciddi etkisi altına alan Endüstri 4.0 sanayi devriminin tarım gıda sektörüne etkisini ele almak ve literatürde yer alan boşluğu doldurmak çalışmanın önemini ortaya koymaktadır. Çalışmanın araştırma kısmında yerli ve yabancı literatür detaylı bir şekilde taranmıştır. Ayrıca işletmelerin gerçekleştirmiş oldukları uygulamalar incelenerek, örneklerle açıklanmıştır. Sonuç olarak ise endüstri 4.0 teknolojileri tarım gıda tedarik zincirini önemli ölçüde etkilemekte, lojistik faaliyetlerde etkin, verimli, şeffaf, izlenebilir bir yapının oluşmasında kilit rol oynadığı görülmektedir.
Chapter
Several studies have shown that biotic and abiotic factors are among the major causes of reduced crop yield globally. Scientists are predicting that environmental changes will cause more pressure on crops in the form of heavy rains and floods, extreme heat waves, and ultra-low temperatures as well as longer periods of drought conditions in the near future. To combat such abiotic stress conditions, plants require efficient and rapid adaptation to become more tolerant. Improved breeding methods and efficient resource management have been successful to some extent, enabling plants to tolerate abiotic stress conditions. Microorganisms inhabit a wide range of niches that are generally stressful for crop plants. Recent studies indicate that such microorganisms have enormous metabolic capabilities and can be utilized as tools for making crops stress-resilient. Extremophiles have evolved specialized gene regulatory mechanisms which enable them to express stress-responsive genes to survive in extreme conditions. Microorganisms have a long-standing co-evolving relationship with plants, assisting each other in modulating local and systemic mechanisms that provide defense against extreme environments. Understanding of these complex and integrated processes is becoming increasingly evident as the molecular, biochemical, and physiological insights are being explored at cellular levels. Looking at the rapidly changing climate conditions, such abiotic-stress-responsive plant–microbe interactions have become more imperative. These unique properties of extremophiles, such as their ubiquitous presence, extreme environment tolerance capabilities, and genetic diversity, could be exploited to generate crops which can cope with abiotic stresses more efficiently. Extremophiles can interact with the crop plants in the rhizosphere and make biofilm and produce polysaccharides which can influence its physicochemical properties as well as provide tolerance against multiple abiotic stress conditions via mechanisms like osmo-protectant induction and production of heat shock proteins (HSPs) in plant cells. Being an excellent model, molecular insight in extremophiles can provide tools to engineer crop plants to be tolerant to extreme environments. Although there are enormous varieties of microorganisms that share symbiotic relationships with plants, this phenomenon with extremophiles is less explored. Therefore, this holds great potential in identifying and designing novel tools that could be utilized for developing crop varieties with robust stress-tolerant traits. In this chapter, we have discussed the different abiotic stresses and the mechanisms used by different extremophiles to alleviate these extreme conditions and their utilization for stress alleviation in crops.
Conference Paper
Full-text available
To study the effect of higher temperature on the yield of wheat (Triticum aestivum L.) genotypes, two field experiments (normal and late sown condition) were conducted from November 2021 to April 2022 at the Research farm of Rampur campus, Khairahani, Chitwan, Nepal. Twelve wheat genotypes were experimented in alpha lattice design with 3 replications. Observations for days to heading, days to maturity, plant height, grain filling period, thousand kernel weight, and grain yield were recorded, and analysis was done at 0.05 probability level. The performance of grain yield and other studied traits were significantly (p ≤ 0.05) higher in the normal season compared to the late season. Highly significant effects (p ≤ 0.001) of genotypes, season, and genotype by season interaction on grain yield and other traits were obtained. Genotype MYT1718-24 was one of the top grain yielding genotypes in both the environmental condition, while genotypes MYT1718-06, MYT1617-22172 were high yielding genotypes in late sown condition and MYT1819-08, MYT1819-19 were high yielding genotypes in normal season. The relative heat tolerance of the genotypes ranged from-13.99% to-57.64%. The genetic variability found in germplasms is adequate for developing heat-tolerant wheat varieties.
ResearchGate has not been able to resolve any references for this publication.