Long-term consequences of short-term precipitation shocks: evidence from Brazilian migrant households

We find that large short-term precipitation shocks damage the long-term income of households that have permanently migrated from rural to urban areas. This outcome is consistent with the behavior of credit-constrained rural households who are willing to accept lower long-term income in urban areas following the depletion of their productive assets during an adverse shock. Our empirical evidence suggests that there may be a link between large precipitation shocks in rural areas and urban poverty. Further exploration is warranted on the mechanisms by which natural disasters cause these long-term losses.     

Off‐farm labor market decisions and agricultural shocks among rural households in Kenya

Using household level data from rural Kenya, this article explores whether and how farm households respond to unfavorable agricultural production environments, including any ex post adjustments in off‐farm labor supply in response to unexpected weather shocks. While controlling for a wide range of educational, demographic, and other locational factors, we examine how long‐term weather conditions and specific rainfall shocks influence a household's decision to engage in, and their earnings from, the off‐farm labor market. We find that rural households engage in off‐farm work as a long‐term strategy to deal with the effects of anticipated weather conditions on their farming operations. The analysis does not reveal major short‐term adjustments in off‐farm engagement as a result of specific, unexpected rainfall shocks; these households do however rely on remittance income and petty agricultural wage labor under these circumstances. Holding other factors constant, and conditional on participation, households in areas with a more productive local agriculture tend to earn more from off‐farm work especially in the informal/business sector than their counterparts in regions with a less productive agriculture. As expected, a vibrant local economy in the form of public investment increases the probability of off‐farm participation.     

The impact of safety nets on technology adoption: a difference‐in‐differences analysis

This article contributes to a growing body of empirical literature relating credit constraints and incomplete insurance to investment decisions. We use panel data from rural Ethiopia to investigate whether participation in a safety net program enhances fertilizer adoption. Using a difference‐in‐differences estimator and inverse propensity score weighting, we find that participation in Ethiopia's food‐for‐work (FFW) program increased fertilizer adoption in the short run, but not in the long run. Results also indicate that the intensity of fertilizer usage increased with livestock holdings for FFW‐participant households, providing some evidence that the intervention helped asset‐rich farm households more than asset‐poor households. We find no significant effects of free distribution on fertilizer adoption or intensification. Our results are consistent with the hypothesis that safety nets can be viewed as mechanisms that allow households to take on more risk to pursue higher profits. The results highlight the importance of safety net programs, their effectiveness in ensuring farmers that they will be protected against uninsured shocks, and how that assurance can translate into productivity‐enhancing behavior.     

Economic impacts of El Niño southern oscillation: evidence from the Colombian coffee market

El Niño Southern Oscillation (ENSO) is a naturally occurring phenomenon that affects weather around the world. Past ENSO episodes have had severe impacts on the economy of Colombia. We study the influence of ENSO on Colombian coffee production, exports, and price. Our structural econometric specification is consistent with an economic model of the market for Colombian coffee which, in the short run, is characterized by a downward‐sloping demand curve and by a vertical supply curve. We show that El Niño (i.e., positive shocks to ENSO) is beneficial for Colombian production and exports and decreases the real price of Colombian coffee. On the contrary, La Niña (i.e., negative shocks to ENSO) depresses Colombian coffee production and exports and increases price. However, the overall impact of ENSO shocks is small. Both in the short run and in the long run, shocks to international demand for Colombian coffee are more relevant than supply‐side shocks in Colombia in explaining the dynamics of the price of Colombian coffee. Our results suggest that a given coffee price shock can have beneficial, detrimental, or negligible effects on the Colombian economy, depending on its underlying cause. As a consequence, policy responses to coffee price shocks should be designed by looking at the causes of the shocks.     

Agricultural production and children's diets: evidence from rural Ethiopia

We study the relationship between pre‐school children's food consumption and household agricultural production. Using a large household survey from rural Ethiopia, we find that increasing household production diversity leads to considerable improvements in children's dietary diversity. However, we also document how this nonseparability of consumption and production does not hold for households that have access to food markets. These findings imply that nutrition‐sensitive agricultural interventions that push for market integration are likely to be more effective in reducing under‐nutrition than those promoting production diversity.     

Poverty analysis in the lowlands of Papua New Guinea underscores climate vulnerability and need for income flexibility*

A severe El Niño event in 2015/16 decimated an important share of Papua New Guinea's (PNG) local crop production, leaving 10 per cent of the population with significant food shortages. Lack of recent socio‐economic data and analysis of the country's rural population impeded efforts to plan and mitigate the ensuing food crisis. This paper presents the most recent poverty analysis in Papua New Guinea in nearly a decade, and a renewed effort to inform rural production, consumption and livelihood patterns in some of the country's most remote, lowland areas. We designed a rural household survey that collected detailed consumption and expenditure data to explore poverty prevalence and correlates of per capita household expenditure. Results suggest that approximately half of the sampled individuals live in households with total per capita expenditures below the poverty line. Climate shocks have significant and possibly long‐term consequences for household welfare. Households that experienced a drought in the last 5 years are associated with significantly lower per capita expenditures. Labour diversification, via migration, is associated with greater welfare. Households with at least one migrant member are associated with 13 per cent greater per capita expenditure.     

Characterising Vulnerability to Poverty in Rural Haiti: A Multilevel Decomposition Approach

This article characterises vulnerability to poverty in Haiti using a unique survey conducted in 2007 in rural areas. In a first step, using two‐level linear random coefficient models of both per capita consumption and per capita income, the article assesses the impact of self‐reported shocks on households' economic well‐being. In a second step, the prediction model is used to calculate various measures of vulnerability to poverty, considering various types of shocks. Empirical findings show that self‐reported (or observable) idiosyncratic shocks, in particular health‐related shocks, have larger impact on vulnerability to poverty than observable covariate shocks. These results are in line with the fact that many households reported idiosyncratic health shocks as being the worst shocks they experienced. On the other hand, unobservable idiosyncratic shocks appear to have generally more influence on households' vulnerability to poverty than unobservable covariate ones. We also show that omitting self‐reported shocks in the analysis leads to an underestimate of households' vulnerability to poverty.     

Does fertilizer use respond to rainfall variability? Panel data evidence from Ethiopia

In this article, we use farmers' actual experiences with changes in rainfall levels and their responses to these changes to assess whether patterns of fertilizer use are responsive to changes in rainfall patterns. Using panel data from the Central Highlands of Ethiopia matched with corresponding village‐level rainfall data, the results show that the intensity of current year's fertilizer use is positively associated with higher rainfall levels experienced in the previous year. Rainfall variability, on the other hand, impacts fertilizer use decisions negatively, implying that variability raises the risks and uncertainty associated with fertilizer use. Abundant rainfall in the previous year could depict relaxed liquidity constraints and increased affordability of fertilizer, which makes rainfall availability critical in severely credit‐constrained environments. In light of similar existing literature, the major contribution of the study is that it uses panel data to explicitly examine farmers' responses to actual weather changes and variability.     

Economic development and the role of agricultural technology

In earlier debates on economic development, the agricultural sector's role was somewhat controversial. While dualistic models highlighted the importance of agriculture, the mainstream literature placed a greater emphasis on the creation of a modern industrial sector. Soon agriculture disappeared from the mainstream development literature to re‐emerge recently with a variety of multiple‐sector growth models emphasizing the key role of agriculture and specifically technology in agriculture. This article is an empirical cross‐country analysis of agricultural technology's role in economic development. Specifically, the hypothesis being tested is whether improvements in agricultural technology have a significant impact on long‐run economic growth. The results indicate that agricultural modernization has a positive effect on both measures of economic growth and human development.     

The adoption of intensive monocrop horticulture in southern Cameroon

Results from a 1997 survey of 208 households in the humid forest zone of southern Cameroon indicate that African policy makers seeking to intensify agricultural production should focus attention on the horticultural sub‐sector. The survey, which gathered information on horticultural production practices, found that the average expenditure on agro‐chemical inputs by horticultural producers using monocrop production systems was 190US$/ha, which greatly exceeds the FAO reported national average expenditure of 6.50 US$/ha. A logit model of monocrop adoption indicated that the size of land holding per household had a negative effect on adoption, congruent with population‐driven technical change and that increases in unit transportation costs significantly decreased the probability of adoption. These findings suggest that policy makers should target horticultural intensification in areas of higher population density and promote investment in rural roads. The age of the household head had a significant negative and elastic effect on adoption, which in combination with an increase in the cohort of younger farmers in the rural population induced by macro‐economic events contributed to the spread of intensified horticulture. In the study area, roughly two‐thirds of rural households also produce cocoa and the quantity of cocoa produced was positively associated with adoption of intensive horticultural systems suggesting that export crop promotion indirectly facilitated diversification of agriculture. Women's participation in intensive monocrop production was limited and efforts to promote their greater involvement are recommended.     

Output, prices, and the distribution of consumption in rural India

This article analyzes the relation among agricultural output, inflation, and the distribution of consumption in rural India, using both the Singh–Maddala and Dagum families to model the entire distribution parametrically. Employing a benchmark case in which growth is distributionally neutral and idiosyncratic shocks are completely smoothed, and using a GMM‐estimator to deal with potential simultaneity between output and consumption, we conclude that: (i) growth was not distributionally neutral; (ii) good harvests (relative to trend) yielded improvements according to first‐order stochastic dominance; (iii) slow growth before 1980 went with decreasing inequality; (iv) accelerated growth thereafter tended to increase inequality, though yielding improvements according to first‐order stochastic dominance; (v) consumption smoothing was incomplete.     

Occupational diversification as an adaptation to rainfall variability in rural India

Occupational diversification among household members in rural India is investigated as an adaptation strategy against the risks arising from the variability of local rainfall. Nationally representative household‐level survey data are combined with the coefficient of variation of rainfall constructed based on historical rainfall data at the district level. The analysis finds that high rainfall variability has significant negative effects on the agricultural specialization of within‐household occupational choices. This result is reinforced by the finding that improved access to irrigation, education, credit, roads, and postal services, is associated with a lower occupational diversification within families and a greater specialization of household members in agricultural‐related employment.     

Agricultural commercialization of Karen Hill tribes in northern Thailand

Based on a random sample of 240 farm households in Chiang Mai province, Thailand, this study shows that—contrary to widespread belief—Karen farm households are well-integrated into markets. Average levels of market integration are 31% for gross farm output, 35% for variable inputs, 49% for food consumption, and 80% for net family income. By estimating a two-stage least squares (2SLS) regression model, this study finds that integration into output markets is positively associated with a diversification of land use away from rice monoculture, more intense contact with nearby urban centers, and a greater number of roads connecting the village to the outside world. Controlling for these factors, the distance to urban centers does not impede market integration; distant villages are equally well integrated into output markets. The study further finds that integration into output markets improves farm productivity and net per capita income. Concerns about market integration are discussed. Results have implications for Thai policy makers who have recently placed increasing emphasis on the concept of "sufficiency economy" in order to promote the well-being of rural people.     

Acreage response in Pakistan: a co-integration approach

This paper seeks to quantify the acreage responses of wheat, cotton, sugarcane and rice in Pakistan using co‐integration techniques and impulse response analysis. Results indicate that acreages of wheat and basmati rice do not respond significantly to shocks in own‐price while cotton, sugarcane and high yielding variety (HYV) rice do, and that long‐run equilibrium is re‐established after about 4 years. Irrigated area is an important determinant of acreage.     

Grain transport and rural credit in Mozambique: solving the space–time problem

This paper shows how credit market failures can lead to large welfare losses in grain markets by inducing increased transport for seasonal storage in locations with low credit costs. The burden of these welfare losses falls primarily on rural households. These conclusions are obtained from a spatial/temporal model solved using a mixed complementarity formulation that easily handles interest rate differentials across space. Efforts to address credit market failures and to improve the efficiency of rural storage should be given priority as opposed to the creation of large, formal sector grain collection centers.     

The fourth industrial revolution,agricultural and rural innovation,and implications for public policy and investments: a case of India

The Indian Government and public–private partnerships are developing and disseminating a dizzying number of innovative, networked solutions, broadly known as the Digital India initiative, to increase the efficiency of safety nets and worker productivity and to improve life. Yet, challenges to turn the power of information and other technologies into a farmer‐friendly technological revolution for India's 156 million rural households are considerable, including: (1) reliable, up‐to‐date, location‐specific message content for a diverse agriculture to help stratified households shift to productive, knowledge‐intensive agriculture as a business—government, private sector, and civil society have big roles to play; (2) digital literacy, i.e., teaching farmers how to choose and use apps, even where the digital divide is absent; apps are, or soon to be, in regional languages; and (3) monitoring actual use and impacts on users’ lives by understanding the adoption and adaptation processes. These challenges call for bottom‐up, complementary investments in physical, human, and institutional capital, and farmer‐friendly e‐platforms, while forging ahead with many top‐down policy and institutional reforms currently underway, in which progress is real and constraints holding back greater success are better understood.     

Protecting Biotechnology IPRs in Developing Countries: Simple Analytics of a Levy Solution

High transaction costs and an absence of institutional infrastructure in developing countries prevent comprehensive enforcement of intellectual property rights and generate obstacles to the adoption of genetically modified (GM) crop technology. Governments of developing countries that are members of the World Trade Organization are faced with two options when licensing GM crop technology: (1) attempt to regulate GM crops to the standards of the Agreement on Trade‐Related Aspects of Intellectual Property (TRIPS) or (2) allow a black market in GM seeds and risk trade retaliation from the GM innovator's host country through a TRIPS trade complaint. This paper develops a conceptual model that frames the adopting country's range of licensing options, including a new levy system, and derives welfare measures for each option. The model illustrates how a levy on GM technology can be a welfare‐increasing policy for developing countries, and the operation of a levy is discussed. The conceptual model is applied to Brazil's soybean market and quantitative economic surplus measures are estimated within a calibrated welfare model for a range of licensing scenarios. The model's results suggest that a levy may interfere with the long‐term prospects for innovators to collect monopoly rents in adopting countries.     

Post–Uruguay Round price linkages between developed and developing countries: the case of rice and wheat markets

The Uruguay Round Agreement on agriculture attempted to lower distortions in global agricultural markets. However, the significant fall in commodity prices in the late 1990s may have reduced the incentives for both developed and developing countries to better integrate into world markets. This study analyzes price linkages and adjustment between developed and developing countries during the post–Uruguay Round period. Prices of two key commodities, long‐grain rice and medium‐hard wheat, are assembled for major exporters and producers. Results of multivariate cointegration analysis suggest partial market integration between developed and developing countries in the post–Uruguay Round period. Developed countries are found to be price leaders in these two markets, and in most cases, changes in their prices have relatively large impacts on those of the developing countries. Developing countries (e.g., Vietnam and Argentina) have faced considerable price adjustment due to changes in the developed countries' prices.     

Markets and pro-poor agricultural growth: insights from livelihood and informal rural economy models in Malawi

This article presents the development of a set of programming models describing the major features of different rural livelihoods and of the informal rural economy they together make up in Malawi. The models allow for differentiated responses by different household types to change and for the partial equilibrium effects of consequent supply, demand, and price adjustments in labor and grain markets. The models provide insights into the relations between own‐farm and nonown‐farm activities in different households' livelihoods and in the informal rural economy as a whole, and are used to investigate possible impacts of increasing cash crop prices and of a more open rural economy. Impacts of these changes on the poor are found to be critically dependent upon supply and demand elasticities in labor and grain markets, but the poor could potentially suffer significant losses from increased openness of the local economy leading to increased expenditure by less poor households on imported goods and services.     

Consumer willingness to pay for genetically modified food in Kenya

Genetically modified (GM) crops are popular in many regions of the world, but their deployment in Africa is hindered by safety concerns and regulatory issues, although the continent is in dire need of boosting its food production. Although consumers' acceptance of GM food has been analyzed in many continents, no such studies have been conducted in Africa. Therefore, a survey of 604 consumers was conducted in Nairobi, Kenya, in 2003, to gauge consumers' awareness of GM crops, their willingness to pay (WTP) for GM food, and the factors that influence their WTP. Consumers' knowledge of GM crops was limited and only 38% of the 604 respondents were aware of GM crops. People in higher education and income groups were more aware than others. Regardless, people were generally appreciative of the technology, and a large majority (68%) would be willing to buy GM maize meal at the same price as their favorite brand. Consumers were, however, concerned about possible side effects, especially on the environment and biodiversity. WTP was estimated using a double‐bounded dichotomous choice model, and the mean WTP was found to be 13.8% higher than the average price of non‐GM maize meal. Perceptions of health risk, and ethical and equity concerns had a negative influence on the likelihood of purchasing GM maize meal, whereas trust in government to ensure food quality had a positive influence on WTP. People with at least some secondary education and those in the high‐income category were more likely to purchase GM maize meal at the same price. The study concludes that, because awareness is still low, appropriate communications are needed to involve the consumer in the debate. Consumers' acceptance in this study was high, but the research needs to be expanded to rural areas, where most consumers live, and other survey methods need to be explored.