Did the commodity price spike increase rural poverty? Evidence from a long‐run panel in Bangladesh

We assess the effects of the dramatic rise in agricultural commodity prices during 2007–2008 on income dynamics and poverty among rural households in Bangladesh. A unique panel data set allows us to put the effects of recent events in the context of long‐run trends in income and poverty. We use data from a nationally representative longitudinal survey of rural households in Bangladesh collected in four waves in 1988, 2000, 2004, and 2008. Nargis and Hossain (Nargis, N., Hossain, M., 2006. Income dynamics and pathways out of rural poverty in Bangladesh, 1988–2004. Agric. Econ. 35, 425–435) analysed income dynamics and poverty incidence for the first three waves, finding a declining trend in both the incidence and severity of poverty, aided in particular by human capital development and off‐farm employment opportunities. We update and extend the analysis to include data collected in 2008, at the height of a spike in agricultural prices. We find that the price of a balanced food basket increased by more than 50% during 2000–2008, while household income rose only 15%. As a result the incidence and severity of rural poverty in Bangladesh sunk to pre‐2000 levels during 2004–2008. Thus, the price spikes in 2007–2008 helped push an additional 13 million people into poverty in rural Bangladesh. Moreover, we find that the determinants of poverty have not been time‐invariant. In particular, agricultural production, which had previously been associated with a higher incidence of poverty, served as a hedge against higher food prices during 2004–2008.     

The Economic impact of public agricultural research and development in the United States

In this article, we examine the relationship between public investments in agricultural research and development and the productivity‐enhancing benefits they generate. Knowledge productivity functions are estimated for U.S. agriculture using data on multifactor productivity and public knowledge stocks. We examine the time‐series properties of the data and compare alternative econometric estimation procedures. The results are used to calculate economic performance measures such as internal rates of return and benefit‐cost ratios. The real rate of return to public investments in agricultural research and development in the United States is in the range of 8–10% per annum.     

The effects of China's growth on the food prices and the food exports of other developing countries

This article explores the impacts of China's growth in the international markets of agricultural products along two dimensions: food price inflation and export growth in other developing countries. China's food imports of vegetable oils have grown dramatically over the last decade, linking China's economic growth to the recent increases in global food prices. If China is a source of global food price inflation, exporting countries will benefit whether they sell directly to China or not. These direct and indirect linkages are explored using a short‐run, partial‐equilibrium model of international trade in agricultural products in which consumer prices and trade costs are derived from bilateral trade flows. China's effects on food prices and exports are estimated by reducing Chinese food expenditures in 2007 by half, roughly China's level of expenditures in 1995. Results indicate that food prices as measured by CES price indexes in developing Asia, Africa, and Latin America would have been reduced by 1.27%, 0.32%, and 0.22%, respectively. China has been an important source of growth for exporters selling directly to China. There is no evidence of export growth due to an overall increase in food prices caused by China's growth.     

Measuring public agricultural research and extension and estimating their impacts on agricultural productivity: new insights from U.S. evidence

This article provides new estimates of the marginal product of public agricultural research and extension on state agricultural productivity for the U.S., using updated data and definitions, and forecasts of future agricultural productivity growth by state. The underlying rationale for a number of important decisions that underlie the data used in cost‐return estimates for public agricultural research and extension are presented. The parameters of the state productivity model are estimated from a panel of contiguous U.S. 48 states from 1970 to 2004. Public research and extension are shown to be substitutes rather than complements. The econometric model of state agricultural TFP predicts growth rates of TFP for two‐thirds of states that is less than the past trend rate. The results and data indicate a real social rate of return to public investments in agricultural research of 67% and to agricultural extension of 100+%. The article concludes with guidance for TFP analyses in other countries.     

Exchange rate alignment and producer support estimates (PSEs) for India

This article examines the effects of exchange rate alignment during 1985–2002 on agricultural producer support estimates (PSEs) for India. Based on several time series techniques, the equilibrium exchange rate of the Indian rupee and the corresponding misalignment of the actual rate are estimated and applied to recent PSE calculations. Our results show that the exchange rate was substantially misaligned before a financial crisis and macroeconomic reform in the early 1990s, with subsequent indirect effects on the PSEs. We find a relatively high pass‐through of exchange rate movements to domestic agricultural prices, so that removal of the exchange rate misalignment would have improved incentives to Indian farmers during this period. More recently, this indirect exchange rate effect is smaller than the direct effect in the PSEs, indicating the dominance of sectoral‐specific policies over economy‐wide policies.     

Impact of the Sloping Land Conversion Program on rural household income: An integrated estimation

The objective of this study is to identify the pathways of the potential impacts of the Sloping Land Conversion Program (SLCP) on household income and quantify these impacts along the identified pathways. We fulfill this objective by developing an integrated analytic framework and using data collected from Wuqi county of Shaanxi for the period 2004–2010. This integrated analytic framework enables us to formulate a structural equation model for testing hypotheses regarding the direct and indirect impacts of the SLCP. It is found that the direct effect of the SLCP on household income is positive but very small and insignificant, suggesting that retiring cropland has, at least, not reduced income from farming. Moreover, the SLCP has had a much higher and even increasing indirect impact on household income through promoting labor transfer and relaxing liquidity constraints. Overall, the SLCP's total impact on household income ranged from 3% in 2004 to 9% in 2010 excluding the insignificant direct impact. The research and policy implications of our work are discussed.     

Wage and employment effects of Malawi's fertilizer subsidy program

This article uses three waves of nationally representative household‐level panel data from Malawi to estimate how a large‐scale fertilizer subsidy program impacts the agricultural labor market, known as ganyu in that country. I find that when looking across the entire population of smallholders, receiving an additional 100 kg of subsidized fertilizer causes the average household to supply about three fewer days of ganyu. The fertilizer subsidy program also has a small positive effect on the probability that a household demands agricultural labor, with the results approaching statistical significance. In addition, a 10 kg increase in the average amount of subsidized fertilizer acquired per household in a community boosts the median agricultural wage rate by 1.4% in that community. The increase in wage rates translates to a US $1.40 per year increase in average household income in the years after Malawi's subsidy program was scaled up, and a US $1.86 per year increase in average household income for those who sold their labor before the subsidy program was scaled up. This finding suggests that households who sell their labor off farm may experience some small spillover benefit from the program in the form of higher agricultural wage rates.     

A new president in the White House: implications for Canadian agricultural trade

Canadian agricultural trade has experienced several volatile periods over the past 15 years. The Great Recession (2007–2009), the 2015–2016 global trade slowdown, unilateral policy actions by the United States against key trade allies and the multilateral system more generally, and the impacts of the Covid‐19 pandemic are among the most significant events during this period. Given the close integration of Canadian and US agricultural markets, the recent US election is likely to again impact the relative competitiveness of Canadian agricultural exports. While many observers suggest President‐elect Joe Biden will return to normal times regarding multilateral cooperation with key allies and international institutions such as the World Trade Organization, the new administration is likely to face headwinds given the significant fraying of ties with key trading partners and allies due to disruptive actions taken by his predecessor. This article provides an overview of potential implications of a Biden administration for Canada's agricultural trade. We start by reviewing recent trade shock events affecting Canada's agricultural trade with a particular focus on trade actions taken by the United States. Relevant components of the President‐elect Biden's platform, considerations affecting the implementation of this platform, and the implications of this for Canadian agricultural trade are considered.     

The benefits from public agricultural research in Uruguay

We use newly constructed data to model and measure agricultural productivity growth and the returns to public agricultural research conducted in Uruguay over the period 1961–2010. We pay attention specifically to the role of levy‐based funding under INIA, which was established in 1990. Our results indicate that the creation of INIA was associated with a revitalization of funding for agricultural R&D in Uruguay, which spurred sustained growth in agricultural productivity during the past two decades when productivity growth was stagnating in many other countries. The econometric results were somewhat sensitive to specification choices. The preferred model includes two other variables with common trends, a time‐trend variable and a proxy for private research impacts, as well as a variable representing the stock of public agricultural knowledge that entailed a lag distribution with a peak impact at year 24 of the 25‐year lag. It implies a marginal benefit‐cost ratio of 48.2, using a real discount rate of 5 per cent per annum and a modified internal rate of return of 24 per cent per annum. The benefit‐cost ratio varied significantly across models with different lag structures or that omitted the trend or the private research variable, but across the same models, the modified internal rate of return was very stable, ranging from 23 per cent per annum to 27 per cent per annum. These results suggest that the revitalized investment in research spending under INIA has been very profitable for Uruguay and that a greater rate of investment would have been justified.     

Livelihood diversification strategies in the Himalayas*

This article examines livelihood diversification strategies of rural households using survey data from the Himalayas. We present and explore an analytical framework that yields different activity choices as optimal solutions to a simple utility maximization problem. By classifying the range of activities of rural households into a few distinct categories based on their profitability and by considering portfolios of farm and non‐farm activities, we provide novel insights into diversification behaviour of rural households. The evidence shows that while the poor are mainly agricultural labourers and work in the low‐return non‐farm sector, the better‐off diversify in high‐return non‐farm activities. As expected, we find strong evidence that education plays a major role in accessing more remunerative non‐farm employment. A somewhat less intuitive finding is that larger household size is associated with higher probability of diversification into the high‐return non‐farm sector. The finding that the farm size is not a constraint to diversification in lucrative non‐farm employment is also surprising. Geographical location plays a role in diversification behaviour of rural households indicating the importance of local context.     

Information and consumer perception of the “organic” attribute in fresh fruits and vegetables

Using a double hurdle model on panel data from 3,200 Danish households (monthly observations for 2002–2007), we study the effects of health‐related media information on the demand for organic fruit and vegetables. We find that “negative” information about pesticides contained in conventional fruit and vegetables mainly influences the probability of a consumer entering the organic market, not the quantities consumed by households that are already active on the organic market. “Positive” information that links health and the consumption of organic food influences both steps of the decision process. Our dataset includes information about consumers’ media habits, which allows us to disentangle the direct effects of media information from the indirect effects of this information as it is disseminated through the population. Our results suggest that directly obtained information is the main type of information influencing consumers, while information loadings by dissemination through the population have almost no effect on consumption.     

Crisis Behind Closed Doors: Global Food Crisis and Local Hunger

The high and volatile food prices in 2007–8 triggered estimates of massive increases in poverty and hunger. However, hunger and volatile food prices have long been a feature of developing economies. This paper examines the impact of high global food prices on domestic terms‐of‐trade, food consumption and child undernutrition in the Central African Republic, Ethiopia, Liberia and Sierra Leone, comparing findings with the impacts of ‘seasonality’. As high international food prices permeated domestic markets, households in all the case study areas resorted to coping strategies common in the annual hunger season. Though acute malnutrition has not risen as consistently as in a seasonal hunger crisis, reduced micronutrient intake threatens to have severe long‐term consequences for health and poverty reduction. The similar impacts of seasonal and global food price rises on households provide an opportunity to design appropriate interventions to protect livelihoods.     

Higher fuel and food prices: impacts and responses for Mozambique

Rising world prices for fuel and food represent a negative terms‐of‐trade shock for Mozambique. The impacts of these price rises are analyzed using various approaches. Detailed price data show that the world price increases are being transmitted to domestic prices. Short‐run net benefit ratio analysis indicates that urban households and households in the southern region are more vulnerable to food price increases. Rural households, particularly in the North and Center, often benefit from being in a net seller position. Longer‐term analysis using a computable general equilibrium (CGE) model of Mozambique indicates that the fuel price shock dominates rising food prices from both macroeconomic and poverty perspectives. Again, negative impacts are larger in urban areas. The importance of agricultural production response in general and export response in particular is highlighted. Policy analysis reveals difficult trade‐offs between short‐run mitigation and long‐run growth. Improved agricultural productivity has powerful positive impacts, but remains difficult to achieve and may not address the immediate impacts of higher prices.     

Effects of payments for ecosystem services programs in China on rural household labor allocation and land use: Identifying complex pathways

Payments for Ecosystem Services (PES) is increasingly used in developing countries to secure the sustainable provision of vital ecosystem services. The largest PES programs in the world are embedded in China’s new forest policies, which aim to expand forest cover for soil and water conservation and improve livelihoods of rural people. The objective of this study is to identify the complex pathways of the impacts of two PES programs , the Conversion of Cropland to Forest Program (CCFP) and the Ecological Welfare Forest Program (EWFP), on household livelihood decisions, and to quantify the direct and indirect impacts along the identified pathways. We fulfill this objective by developing an integrated conceptual framework and applying a Partial Least Squares-Structural Equation Model (PLS-SEM), based on household survey data from Anhui, China. Labor allocation (for on-farm work, local paid work, local business, or out-migration) and land use decisions (i.e., rent in, maintain, rent out, or abandon cropland) for participating households are key to understand PES program effects on livelihoods. Results show that the PES programs have only small direct effects but significant indirect effects via the mediating factor of capital assets. Moreover, group heterogeneity analysis shows that lower-income households do not benefit more than the better-off households from the PES programs, while households with medium wealth increase dependence on agriculture. In addition, household demographics, individual attributes, and geographic settings differ in their impacts on labor allocation and land use decisions. We conclude that CCFP and EWFP would be more efficient in conserving the environment while improving the economic welfare of lower-income households if capital assets were taken into account in the design of compensation schemes.     

Warming temperatures will likely induce higher premium rates and government outlays for the U.S. crop insurance program

Likely climate change impacts include damages to agricultural production resulting from increased exposure to extreme heat. Considerable uncertainty remains regarding impacts on crop insurance programs. We utilize a panel of U.S. corn yield data to predict the effect of warming temperatures on the mean and variance of yields, as well as crop insurance premium rates and producer subsidies. While we focus on corn, we demonstrate that the subsidy impacts are likely to carry over to other major program crops. We find that warming decreases mean yields and increases yield risk on average, which results in higher premium rates. Under a 1°C warming scenario, we find that premium rates at the 90% coverage level will increase by 39% on average; however, there is considerable statistical uncertainty around this average as the 95% confidence interval spans from 22% to 61%. We also find evidence of extensive cross‐sectional differences as the county‐level rate impacts range from a 10% reduction to a 63% increase. Results indicate that exposure to extreme heat and changes in the coefficient of variation are large drivers of the impacts. Under the 1°C warming scenario, we find that annual subsidy payments for the crop insurance program could increase by as much as $1.5 billion, representing a 22% increase relative to current levels. This estimate increases to 3.7 billion (57%) under a 2°C warming scenario. Our results correspond to a very specific counterfactual: the marginal effect of warming temperatures under current technology, production, and crop insurance enrollments. These impacts are shown to be smaller than the forecasted impacts under a commonly used end‐of‐century general circulation model for even the most optimistic CO₂ emissions projection.     

Estimating the impact of farmer field schools in sub‐Saharan Africa: the case of cocoa

This study measures the economic impact of the first phase of the Cocoa Livelihood Program (CLP‐I), a current World Cocoa Foundation (WCF) project, sponsored by the Bill and Melinda Gates Foundation and aimed at improving the livelihood of over 200,000 small cocoa producers in sub‐Saharan Africa via training, crop diversification, and farmer‐based organizations. Using data collected from 2,048 pre‐ and post‐CLP‐I interviews of cocoa producers in Ghana, Cote d'Ivoire, Nigeria, and Cameroon, the results show that yield enhancements attributable to CLP‐I are 32%, 34%, 50%, and 62% in Ghana, Côte d'Ivoire, Nigeria, and Cameroon, respectively. Using a total program cost of $151–$200 per beneficiary and estimated annual benefits of $109–$322 per beneficiary over 25 years, the benefit‐cost ratios are estimated to range from $18 to $62 for every dollar spent on human capital development. These results suggest the WCF should endeavor to increase the number of farmers who receive all, not some, of the components of the program. This would not only help ensure that each producer obtains as much human capital as possible from each of the training programs but increases the probability of reaching the CLP goal of doubling the income of cocoa‐growing households.     

Rural–Urban Impacts of CAP Measures in Greece: An Inter‐regional SAM Approach

This paper evaluates the inter‐regional impacts of CAP measures implemented in the rural town of Archanes (Crete, Greece), an area which received considerable EU Agricultural Guarantee and rural development funds during the 1990s. A hybrid, three‐area Social Accounting Matrix (SAM) with three groups of households defined by income level is constructed to describe inter‐linkages between three rural–urban localities, namely the rural area of Archanes, the less‐developed, agriculturally dependent, neighbouring rural area of N. Kazantzakis, and the adjacent urban centre of Heraklion. Results are reported on the diffusion patterns of economic impacts generated by three types of CAP measure: farm income support; aids to increased agricultural productivity; aids to economic diversification. These show that the diffusion of policy‐induced economic impacts from Archanes is lower than might be expected for a small open local economy, and that benefits leak primarily to Heraklion and marginally to rural N. Kazantzakis. Finally, generated income benefits seem to accrue mostly in favour of high‐income households, especially in the case of Guarantee subsidies.     

Off‐Farm Work,Intensity of Government Payments,and Farm Exits: Evidence from a National Survey in the United States

The last three decades have witnessed the continued exit of households from primary agriculture in the United States, where the average annual gross exit rate has averaged 10% per year. Understanding exit behavior is one key to future farm structure, management of abandoned land, depopulation of rural areas, and agricultural policy, including government program payments. This study empirically estimates the determinants of exit decisions of farm households. Particular attention is given to the roles of intensity of government payments and off‐farm work decisions of farm couples in the exit decision. Using a large farm‐level survey and controlling for endogeneity, results indicate that farm households with reduced intensity of government payments are more likely to exit farming. Households where the operator spouse works off the farm are more likely to exit farming. Additionally, households with older farmers, with the farm operator and spouse raised on a farm, and households operating farms located in Northern Great Plains are more likely to exit farming.     

Publicly-funded UK agricultural R&D and 'social' total factor productivity

Most studies concerned with measuring the rate of return to publicly‐funded agricultural R&D investment have found high returns, suggesting under‐investment, and calls for increased expenditure have been common. However, the evaluation of returns tends to measure the effect of research expenditure against growth in total factor productivity (TFP), based on market inputs and outputs. When compared against growing public unease over the environmental effects of pursuing agricultural productivity growth, TFP indices become a misleading measure of growth. This paper integrates some non‐market components into the TFP index. The costs of two specific externalities of agricultural production, namely fertiliser and pesticide pollution, are integrated in a TFP index constructed for the period 1948–1995. This adjusted, or ‘social’, TFP index is measured against UK public R&D expenditures. The rates of return to agricultural R&D are reduced by using the ‘social’ as opposed to the traditional TFP index. Whilst both remain at justifiable levels, previous studies appear to have over‐estimated the effect of agricultural R&D expenditures. Furthermore, with changes in policy towards more socially acceptable but non‐productivity enhancing outcomes, such as animal welfare, rural diversification and organic farming, the future framework for analysing returns to agricultural R&D should not be so dependent on productivity growth as an indicator of research effectiveness.     

Impact of Ghana's agricultural mechanization services center program

Use of mechanization in African agriculture has returned strongly to the development agenda, particularly following the recent high food prices crisis. Many developing country governments—including Ghana, the case study of this article—have resumed support for agricultural mechanization, typically in the form of subsidies for tractor purchase and establishment of private‐sector‐run agricultural mechanization service centers (AMSECs). The aim of this article is to assess the impact of Ghana's AMSEC program on various farm household outcomes, using data from surveys that were conducted with 270 farm households. A two‐stage propensity score matching and difference‐in‐difference estimation procedure is used to estimate the impacts of the program, employing different definitions of treatment, model specifications, and matching algorithms to assess sensitivity of the estimator to different assumptions. The results indicate that the AMSEC program has had a mixed impact on different outcome indicators. For example, whereas the program has contributed to improving availability of mechanization services, reducing drudgery, and raising yield, it has had no impact on the change in the prices paid by farmers for the services used and the change in the amount of area plowed. Implications of the results on labor‐mechanization substitution and for raising and sustaining productivity further are drawn.