Volatility,agricultural risk,and household poverty: micro‐evidence from randomized control trials

Households in developing countries are often highly exposed to risk and despite households’ risk strategies negative shocks often result in substantial welfare losses. Given the possibility that weather risks in particular might be further increasing, there is renewed policy attention on improving households’ risk management strategies. This article provides an overview of insights learned from recent randomized control trials on predictions coming out of the theoretical literature on households’ ex ante risk management. It reveals new puzzles and questions regarding households’ inter‐temporal decision making under risk, and draws lessons for effective policy design.     

Technology,production environment,and household income: Assessing the regional impacts of technological change

This paper clarifies the factors determining the welfare effects of improved agricultural technologies when technology diffusion is unevenly distributed across production environments Household-level income effects are shown to depend primarily on: (a) whether the economy is open or closed with respect to world markets; (b) whether households are net consumers or net producers of the commodity for which technological change occurs; (c) whether households are adopters or non-adopters of the new technology; (d) the degree to which labor is mobile across agricultural regions; and (e) government intervention in commodity and/or factor markets. A review of recent empirical work indicates considerable variation in the relative strength of these various factors across countries, and that assumptions regarding the mechanism by which commodity prices are determined – endogenously as in a closed economy, or exogenously as in an open economy – is especially critical.     

Effect of modern rice varieties and irrigation on household income distribution in Nepalese villages

Since high-yielding modern rice varieties (MVs) are adopted only in favorable production environments, significant regional productivity differentials have emerged in Nepal. This study explores the distributional consequences of such differential MV adoption based on an intensive survey of favorable and unfavorable villages. We found that MV adoption increased returns to land but decreased family labor earnings from rice production, as it facilitated the substitution of hired for family labor. As a result, the differential MV adoption did not significantly worsen the household income distribution according to the results of the counterfactual Gini decomposition analysis.     

Disability and household economic wellbeing: evidence from Indonesian longitudinal data

A health shock in general, and a disability in particular, may expose households to material insecurity due to out-of-pocket health expenditures and reduced earnings. Studies on the impact of disability on household welfare in developing countries are scarce, although the expected impact is large given the absence of social protection programmes. Using a unique Indonesian longitudinal dataset with individuals followed over a 17-year period, this study analyses the economic impact and coping mechanisms adopted by households following a physical disability. Fixed effects estimations reveal that households experience rising health expenditures and reduced labour income. Households cope by reducing their food, non-food and education expenditures, selling assets and receiving more remittances. While all household groups are affected by disability, only the poorest households become significantly more likely to cut their food expenditures.     

ICT and agricultural productivity: evidence from cross-country data

This article carries out agricultural production function estimations, based on data for the period 1995–2000 on 81 countries, to present empirical evidence on the relationship between the adoption of information and communication technology (ICT) and agricultural productivity. It is found that new ICT has a significantly positive impact on agricultural productivity. The evidence suggests that the adoption of modern industrial inputs in agricultural production relies on the information and communication infrastructure. However, the empirical evidence from this study also suggests that new ICT could be a factor for the divergence between countries in terms of overall agricultural productivity. Not only do we find that the ICT adoption levels of the richer countries are much higher than those of the poorer countries, but also that returns from ICT in agricultural production of the richer countries are about two times higher than those of the poorer countries. A plausible explanation for the poorer countries' relatively low productivity elasticity of ICT is the lack of important complementary factors, such as a substantial base of human capital.     

Nutrient consumption and household income in rural Mexico

We estimate the income elasticity for a variety of macro- and micronutrients using a sample of poor rural households in Mexico. The nutrient-income elasticity is estimated using both parametric and semiparametric methods. A special focus is placed on the nonlinearity of the relationship between nutrient intake and income and on measurement error and endogeneity issues. One major finding is that income elasticity for calories is close to zero when we control for measurement error issues. For some nutrients, namely fats, vitamin A and C, calcium, and heme iron, we find a sizeable positive income elasticity robust to the choice of the estimator and percentiles at which it is evaluated. These nutrients are also those for which we find the largest deficiency in our sample. In addition, we find that for the poorest households in our sample, the deficiency of total energy, protein, and zinc is not accompanied by a positive income elasticity.     

Rural nonfarm income and its impact on agriculture: evidence from Albania

Using data from the 2005 Albania Living Standards Measurement Study (ALSMS05) survey, this article analyzes the overall impact of household nonfarm income-generating activities (RIGA) on agricultural expenditures as well as technical efficiency of rural farm households. We also differentiate the impact for subsistence and commercial farmers, who are in the top 25% of the distribution of value of annual agricultural sales. Our results show that on the whole, Albanian rural households utilize their nonfarm earnings not to invest in time-saving, efficiency-increasing technologies, but to move out of crop production. We derive similar findings when we try to estimate the same relation separately for commercial and subsistence farmers. However, for commercial farmers, we find a positive impact of household nonfarm earnings on livestock expenditures.     

Potential of China's grain production: evidence from the household data

This study investigates whether China has achieved its potential in grain production fully with the existing technology. A stochastic varying coefficients frontier approach is applied on recent household survey data of 1000 grain farmers covering the periods 1993–95. The results indicate that, on average, the actual grain outputs are about 15–35% lower than the potential output. The analysis has identified households' human capital stock, land size and market-oriented reform as important factors contributing positively to grain production efficiency.     

Variability in agricultural productivity and rural household consumption inequality: Evidence from Nigeria and Uganda

This paper uses multiple rounds of panel data to assess the distributional implications of the variability in agricultural productivity in Nigeria and Uganda. It uses both a conventional decomposition and a regression‐based inequality decomposition approach to estimate the impact of climate‐induced variability in agricultural productivity. To mitigate the endogeneity associated with unobserved time‐invariant and time‐variant household fixed effects, we use rainfall shocks as a proxy for estimating the exogenous variability in agricultural productivity that affects consumption. Results suggest that a 10% increase in the variability of agricultural productivity tends to decrease household consumption by 38 and 52% on average for Nigeria and Uganda, respectively. Controlling for other factors, variability in agricultural productivity contributed to between 25% and 43% of consumption inequality between 2010 and 2015 for Nigeria; and 16% and 31% of consumption inequality between 2009 and 2011 for Uganda. We also show that variability in agricultural productivity increases changes in consumption inequality over time.     

Political competition and policy choices: the evidence from agricultural protection

This article investigates whether political competition plays an important role in determining the level of agricultural protection. In order to do so, we exploit variation in political and economic data from 74 developing and developed countries for the post‐war period. We use two measures of political competition: one that captures the extent to which political power can be freely contested regardless of election results and one based on vote share at last parliamentary elections. Our results, based on static and dynamic panel estimators, show unambiguously that the higher the level of political competitions is, the higher the agricultural protection.     

China's booming livestock industry: household income, specialization, and exit

China's production of livestock products has generally kept pace with her rapidly increasing demand. Over-supply and market corrections for various livestock products took place over the latter part of the 1990s and large numbers of householders exited this type of production. Using household survey data, we estimate the relationship between a household's specialization in livestock production and household net income in 1995, and use a logit model to explore some predictors of household exit from livestock production over the following decade of market instability. We conclude that specialist livestock households with access to necessary skills, technologies, and markets increase their incomes from further livestock specialization in the base year, whereas those to whom livestock production is relatively unimportant can increase household incomes by diverting their resources away from animal husbandry. It was specialist rather than diversified livestock households that tended to bear the brunt of the adjustment to unfavorable price movements over the decade post-1995. Policy concerns include the exit of larger-scale specialized producers who tended to earn relatively high household incomes in 1995, barriers to the effective formation and operation of horizontal and vertical integration options to help mitigate market instability, the further development of insurance programs and markets for livestock producers, and development assistance to livestock households that for various reasons cannot increase scale and specialization.     

Production efficiency of Chinese agriculture: evidence from rural household survey data

A shadow-price profit frontier model is developed to examine production efficiency of Chinese rural households in farming operations. The model incorporates price distortions resulting from imperfect market conditions and socioeconomic and institutional constraints, but retains the advantages of stochastic frontier properties. The shadow prices are derived through a generalized profit function estimation. The shadow-price profit frontier is then estimated and an efficiency index based on the estimated profit frontier is computed and decomposed to household characteristics. Empirical results using data from China's Rural Household Survey for 1991 reject the neoclassical profit maximization hypothesis based on market prices in favor of the general model with price distortions. Farmers' resource endowment and education influence their response to the market restrictions, thus alter their performance in terms of efficiency. The estimated efficiency index ranges from 6% to 93% with a sample average of 62%. Households' educational level, family size and per capita net income are positively related to production efficiency. Households living in mountain areas or with family members employed by the government or state industries are relatively inefficient. Reducing market intervention, allowing right of use of farm land to be transferred among households, encouraging migration of excess farm labor, and promoting farmers' education will improve rural households' efficiency in agricultural production.     

Leadership in agricultural machinery circles: experimental evidence from Tajikistan

Leadership is critical for the viability of rural groups. The way in which leadership is legitimised can mediate leader and group member behaviour in the face of social dilemmas. Yet there has been scant research on leader‐follower dynamics in naturally occurring groups. Highlighting the case of agricultural machinery circles in Tajikistan, the effect of leading by example on investments to a collective good is studied in a framed field experiment. To increase realism, and contrary to standard economic experiments, this investment is a voucher allowing the group to make a real‐world machinery purchase at reduced costs. Two treatments manipulate leaders’ legitimisation. Elected leaders achieve 30 per cent higher contributions to the collective investment against a baseline version without a leader. Contributions remain, on average, relatively stable over the course of the game. The results are discussed with reference to the debate on external intervention in agricultural producer organisations.     

Market facilities and agricultural marketing: evidence from Tamil Nadu,India

This article analyzes the effect of facilities and infrastructure available at the marketplace on a farmer's decision to sell at the market. The econometric estimation shows that the likelihood of sales at the market increases significantly with an improvement in market facilities and a decrease in travel time from the village to the market. The results suggest that wealth reduces a farmer's cost of accessing market facilities more than it increases her/his opportunity cost of leisure. The policy simulation indicates that the marginal benefits from an improvement in market facility will favor the poorer farmers in the context of India.     

Commodity price bubbles and macroeconomics: evidence from the Chinese agricultural markets

This article investigates the links between commodity price bubbles and macroeconomic factors, with an application to the agricultural commodity markets in China from 2006 to 2014. Price bubbles are identified using a newly developed, recursive right‐tailed unit root test. A Zero‐inflated Poisson model is used to analyze the factors contributing to bubbles. Results show that (a) there were speculative bubbles in most Chinese agricultural commodity futures markets during the sample period, though their presence was infrequent; (b) economic growth, money supply, and inflation have positive effects on bubble occurrences, while interest rates have a negative effect; and (c) among all macroeconomic factors considered, economic growth and money supply have the greatest impact in triggering bubbles. Our findings shed new light on the nature and formation of bubbles in the Chinese agricultural commodity markets.     

Financial activity in agricultural futures markets: evidence from quantile regressions

This study analyses the relationship between financial activity and price returns in 12 US agricultural futures markets. It contributes to the existing research by exploring the forecasting power of trading activity for returns from the perspective of conditional quantiles. Quantile regressions detect Granger‐causal effects from positions of speculators and index traders to price returns in a wide range of commodity markets such as cocoa, coffee, corn, sugar and SRW wheat.