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Energy use and rural poverty
Rising energy expenditures due to more intensive use of energy in modern agriculture and increasing energy prices may affect rural households’ agricultural incomes, particularly the incomes of the rural poor in developing countries. However, the exact link between energy costs and income among the rural poor needs further empirical investigation. This paper aims to gain a deeper understanding of the relationship between energy use and family income, using household-level panel data collected from 500 potato farmers in a poor region of Northern China, where eliminating poverty by 2020 is now the top government priority. The findings indicate that potato plays an important role in the survey...
Rural Life in Late Socialism
China, Laos, and Vietnam are three of a handful of late socialist countries where capitalist economics rubs up against party-state politics. In these countries, sweeping processes of change open up new vistas of opportunity and imaginaries of the future alongside much uncertainty and anxiety, especially for their large rural populations. Contributors to this edited volume demonstrate the diverse ways in which rural people build futures in this unique policy landscape and how their aspirations and desires are articulated as projects involving both citizens and the state. This produces a politics of development that happens through and around the state as people navigate discourses of betterment to imagine and make new futures at individual and collective levels.
Valuing the Environment
Provides an overviews of environmental economics and its strength as a way to understand and respond to environmental problems.
Women of China
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Gender research in the CGIAR research program on policies, institutions, and markets in 2018 and 2019
This report analyses PIM’s 391 peer-reviewed 2018 and 20191 publications. We highlight key gender findings and discuss the challenges faced by researchers in doing gender analysis, with a view to documenting lessons learned and improving practices. It is hoped that the gaps and strengths identified in this report will be useful inputs for future research under PIM and One CGIAR.
The role of learning in technology adoption: Evidence on hybrid rice adoption in Bihar, India
Much empirical research has shown that individuals’ decisions to adopt a new technology are the result of learning–both through personal experimentation through observing the experimentation of others. Yet even casual observation would suggest significant heterogeneity of learning processes, manifesting itself in widely varying patterns of adoption over space and time. This paper explores this heterogeneity in the context of early adoption of hybrid rice in rural India. Using specially designed experiments conducted as part of a primary survey in the field, we identify which of four broad learning heuristics most accurately reflects individuals’ information processing strategies. Linki...
Farm size and effects of chemical fertilizer price on farm households
This research explores how inputs such as chemical fertilizer that are often complementary to labor can benefit smallholders in countries like Nepal. These and other inputs complement labor when a country experiences periods of increased labor scarcity due to rising wages in rural areas. The future of smallholders in Asian countries is vigorously debated in the policy and research arena. An increasing number of studies indicate that in the face of rising rural farm wages, growing mechanization is gradually shifting the advantages enjoyed by smallholders to slightly larger farms in many Asian countries, including Nepal. While the evidence is limited, earlier studies suggest that this trend ma...
Handbook of Forest Resource Economics
It is increasingly recognized that the economic value of forests is not merely the production of timber. Forests provide other key ecosystem services, such as being sinks for greenhouse gases, hotspots of biodiversity, tourism and recreation. They are also vitally important in preventing soil erosion and controlling water supplies, as well as providing non-timber forest products and supporting the livelihoods of many local people. This handbook provides a detailed, comprehensive and broad coverage of forest economics, including traditional forest economics of timber production, economics of environmental role of forests, and recent developments in forest economics. The chapters are grouped i...
Imputing nutrient intake from foods prepared and consumed away from home and other composite foods
This paper assesses the Subramanian and Deaton (S–D) approach for imputing the caloric intake of households from food prepared away from home (FAFH) and composite foods (CF) by juxtaposing it with the imputations of alternative approaches, and extends these approaches to four additional nutrients—vitamin A, iron, zinc, and calcium. The apparent relative nutritional insignificance of FAFH and CF in Bangladesh obfuscates our efforts to assess alternatives to the S–D approach to imputation, and we remain uncertain about the relative value of the alternative imputation approaches examined. FAFH and CF—although widely consumed in Bangladesh—constitute a relatively unimportant source of nutrients, regardless of how the nutrient content of FAFH and CF is imputed.
Estimating spatial basis risk in rainfall index insurance
This paper develops a novel methodology to estimate the degree of spatial basis risk for an arbitrary rainfall index insurance instrument. It relies on a widelyused stochastic rainfall generator, extendedto accommodate nontraditional dependence patterns—in particular spatial upper-tail dependence in rainfall—through a copula function. The methodology is applied to a recentlylaunched index product insuring against excess rainfall in Uruguay. The model is first calibrated using historical daily rainfall data from the national network of weather stations, complemented with a unique,high-resolution dataset from a dense network of 34 automatic weather stations around the study area. The degree of downside spatial basis risk is then estimated by Monte Carlo simulations and the results are linked to both a theoretical model of the demand for index insurance and to farmers’ perceptions about the product.
