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This paper argues that climate change poses two distinct, if related, sets of challenges for poor rural households: challenges related to the increasing frequency and severity of weather shocks and challenges related to long-term shifts in temperature, rainfall patterns, water availability, and other environmental factors. Within this framework, the paper examines evidence from existing empirical literature to compose an initial picture of household-level strategies for adapting to climate change in rural settings. The authors find that although households possess numerous strategies for managing climate shocks and shifts, their adaptive capacity is insufficient for the task of maintaining-let alone improving-household welfare. They describe the role of public policy in fortifying the ability of rural households to adapt to a changing climate.

Adaptation --- Climate change --- Climate Change Economics --- Climate Change Mitigation and Green House Gases --- Environment --- Long-term effects --- Regional Economic Development --- Risk-coping mechanisms --- Rural Development --- Rural households --- Rural Poverty Reduction --- Science of Climate Change

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Measuring the poverty and distributional impact of the global crisis for developing countries is not easy, given the multiple channels of impact and the limited availability of real-time data. Commonly-used approaches are of limited use in addressing questions like who are being affected by the crisis and by how much, and who are vulnerable to falling into poverty if the crisis deepens? This paper develops a simple micro-simulation method, modifying models from existing economic literature, to measure the poverty and distributional impact of macroeconomic shocks by linking macro projections with pre-crisis household data. The approach is then applied to Bangladesh to assess the potential impact of the slowdown on poverty and income distribution across different groups and regions. A validation exercise using past data from Bangladesh finds that the model generates projections that compare well with actual estimates from household data. The results can inform the design of crisis monitoring tools and policies in Bangladesh, and also illustrate the kind of analysis that is possible in other developing countries with similar data availability.

Achieving Shared Growth --- Counterfactual --- Distributional effects --- Economic Theory & Research --- Employment status --- Global markets --- Household heads --- Household income --- Household survey --- Impact on poverty --- Income --- Income distribution --- Income poverty --- Inequality --- Macroeconomic shocks --- Macroeconomics and Economic Growth --- Poor --- Poor rural households --- Poverty line --- Poverty rates --- Poverty Reduction --- Regional Economic Development --- Rural --- Rural areas --- Rural Poverty Reduction

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Measuring the poverty and distributional impact of the global crisis for developing countries is not easy, given the multiple channels of impact and the limited availability of real-time data. Commonly-used approaches are of limited use in addressing questions like who are being affected by the crisis and by how much, and who are vulnerable to falling into poverty if the crisis deepens? This paper develops a simple micro-simulation method, modifying models from existing economic literature, to measure the poverty and distributional impact of macroeconomic shocks by linking macro projections with pre-crisis household data. The approach is then applied to Bangladesh to assess the potential impact of the slowdown on poverty and income distribution across different groups and regions. A validation exercise using past data from Bangladesh finds that the model generates projections that compare well with actual estimates from household data. The results can inform the design of crisis monitoring tools and policies in Bangladesh, and also illustrate the kind of analysis that is possible in other developing countries with similar data availability.

Achieving Shared Growth --- Counterfactual --- Distributional effects --- Economic Theory & Research --- Employment status --- Global markets --- Household heads --- Household income --- Household survey --- Impact on poverty --- Income --- Income distribution --- Income poverty --- Inequality --- Macroeconomic shocks --- Macroeconomics and Economic Growth --- Poor --- Poor rural households --- Poverty line --- Poverty rates --- Poverty Reduction --- Regional Economic Development --- Rural --- Rural areas --- Rural Poverty Reduction

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In rural Indonesia, around 60 percent of workers engage in agriculture and face regular climatic shocks that may threaten their crop production, household income, and human capital investments. Little is known about households' ability to maintain consumption in response to these shocks. This paper uses both longitudinal and repeated cross-sectional data to examine the extent to which farm profits and household consumption are reduced by delayed monsoon onset, an important determinant of rice production in Indonesia. It also investigates whether poor households are more vulnerable to delayed onset. Overall, delayed onset has minor effects on rural households' profit and consumption. For poor households, defined as those with average per capita consumption in the lowest quintile, delayed onset the previous year is associated with a 13 percent decline in per capita consumption. Most of this decline is due to an increase in household size, however, and delayed onset two years ago is positively correlated with consumption. The findings suggest that poor households experience greater volatility but no lasting reduction in consumption following delayed monsoon onset.

Agricultural output --- Agricultural productivity --- Consumption --- Crop production --- Drought --- Farm households --- Farmland --- Household consumption --- Household income --- Household size --- Human capital --- Informal insurance --- Insurance markets --- Macroeconomics and Economic Growth --- Per capita consumption --- Poor --- Poor households --- Poor rural areas --- Poverty Reduction --- Regional Economic Development --- Rural --- Rural areas --- Rural Development --- Rural households --- Rural Poverty Reduction --- Small Area Estimation Poverty Mapping

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This paper analyzes the impact of trade reforms on household welfare. In particular, it studies the importance of each of the links that together constitute the impact using data from the Vietnamese experience in the 1990s. The implementation of trade reforms in the 1990s, most noteworthy of which was the liberalization of rice, resulted in substantial improvement in welfare as evidenced by the drastic decline in poverty. Using analytical and empirical methods, the author examines the role of each channel (direct versus indirect) in this improvement for different groups of households. Results indicate that the growth has been broad based and pro-poor. Poorer households experienced more growth for each and every group analyzed. And contrary to the standard literature, net buyer households had more growth compared with net sellers, emphasizing the importance of indirect links. Decomposition of the growth shows that for rural households, both the direct effect and the multiplier effect drive growth while the multiplier effect was key in urban areas. The importance of the secondary effects underscores the need for a broader model to estimate the impact of trade reforms fully.

Agricultural Production --- Counterfactual --- Economic Theory and Research --- Emerging Markets --- Farmers --- Finance and Financial Sector Development --- Financial Literacy --- Food Buyers --- Food Crops --- Food Prices --- Household Welfare --- Income --- Income Distribution --- Income Growth --- Income On Food --- Inequality --- Labor Policies --- Land Titling --- Macroeconomics and Economic Growth --- Poor --- Poor Households --- Poverty --- Poverty Diagnostics --- Poverty Profile --- Poverty Reduction --- Private Sector Development --- Rural --- Rural Areas --- Rural Development --- Rural Households --- Rural Poor --- Rural Poverty Reduction --- Small Area Estimation Poverty Mapping --- Social Protections and Labor