James Thurlow

Climate change, agriculture and food security in Tanzania

The consequences of climate change for agriculture and food security in developing countries are of serious concern. Due to their reliance on rain-fed agriculture, both as a source of income and consumption, many low-income countries are considered to be the most vulnerable to climate change. This paper estimates the impact of climate change on food security in Tanzania. Representative climate projections are used in calibrated crop models to predict crop yield changes for 110 districts in the country. The results are in turn imposed on a highly-disaggregated, recursive dynamic economy-wide model of Tanzania. The authors find that, relative to a no-climate-change baseline and considering domestic agricultural production as the principal channel of impact, food security in Tanzania appears likely to deteriorate as a consequence of climate change. The analysis points to a high degree of diversity of outcomes (including some favorable outcomes) across climate scenarios, sectors, and regions. Noteworthy differences in impacts across households are also present both by region and by income category.

The economic costs of extreme weather events: a hydrometeorological CGE analysis for Malawi

Extreme weather events such as droughts and floods have potentially damaging implications for developing countries. Previous studies have estimated economic losses during hypothetical or single historical events, and have relied on historical production data rather than explicitly modeling climate. However, effective mitigation strategies require knowledge of the full distribution of weather events and their isolated effects on economic outcomes. We combine stochastic hydrometeorological crop-loss models with a regionalized computable general equilibrium model to estimate losses for the full distribution of possible weather events in Malawi. Results indicate that, based on repeated sampling from historical events, at least 1.7 per cent of Malawis gross domestic product (GDP) is lost each year due to the combined effects of droughts and floods. Smaller-scale farmers in the southern region of the country are worst affected. However, poverty among urban and nonfarm households also increases due to national food shortages and higher domestic prices.

Climate Change, Growth and Infrastructure Investment: The Case of Mozambique

Climate change may damage road infrastructure, to the potential detriment of economic growth, particularly in developing countries. To quantitatively assess climate changes consequences, we incorporate a climate–infrastructure model based on stressor–response relationships directly into a recursive dynamic economy‐wide model to estimate and compare road damages with other climate change impact channels. We apply this framework to Mozambique and simulate four future climate scenarios. Our results indicate that climate change through 2050 is likely to place a drag on economic growth and development prospects. The economic implications of climate change appear to become more pronounced from about 2030. Nevertheless, the implications are not so strong as to drastically diminish development prospects. Our findings suggest that impact assessments should include damages to long‐run assets, such as road infrastructure, imposed by climate change.

Current Climate Variability and Future Climate Change: Estimated Growth and Poverty Impacts for Zambia

Economy-wide and hydrological-crop models are combined to estimate and compare the economic impacts of current climate variability and future anthropogenic climate change in Zambia. Accounting for uncertainty, simulation results indicate that, on average, current variability reduces gross domestic product by four percent over a ten-year period and pulls over two percent of the population below the poverty line. Socio-economic impacts are much larger during major drought years, thus underscoring the importance of extreme weather events in determining climate damages. Three climate change scenarios are simulated based on projections for 2025. Results indicate that, in the worst case scenario, damages caused by climate change are half the size of those from current variability. We conclude that current climate variability, rather than climate change, will remain the more binding constraint on economic development in Zambia, at least over the next few decades.

Explaining the Evolution of Poverty: The Case of Mozambique

We provide a comprehensive approach for analyzing the evolution of poverty using Mozambique as a case study. Bringing together data from disparate sources, we develop a novel back-casting framework that links a dynamic computable general equilibrium model to a micro-simulation poverty module. This framework provides a new approach to explaining and decomposing the evolution of poverty, as well as to examining rigorously the coherence between poverty, economic growth, and inequality outcomes. Finally, various simple but useful and rarely-applied approaches to considering regional changes in poverty rates are presented. Copyright 2012, Oxford University Press.

Are Biofuels Good for African Development? An Analytical Framework with Evidence from Mozambique and Tanzania

Many low-income countries in Africa are optimistic that producing biofuels will both reduce dependence on imported fossil fuels and stimulate economic development, particularly in poorer rural areas. Conversely, skeptics view biofuels as a threat to food security in the region and as a ‘land-grabbing’ opportunity for foreign investors. As a result of this ongoing debate, national Biofuels Task Forces have been asked to evaluate both the viability of domestic biofuel production and its broader implications for economic development. To guide these complex evaluations, this article presents an analytical framework that prioritizes different aspects of a comprehensive national assessment and identifies suitable evaluation methods. The findings from recent assessments for Mozambique and Tanzania are used to illustrate the framework. While from these two countries studies found that biofuels investments could enhance development, their experiences highlight potential trade-offs, especially at the macroeconomic and environmental levels, where further research is needed.

A Stochastic Simulation Approach to Estimating the Economic Impacts of Climate Change in Bangladesh

Climate change assessments often inadequately address uncertainty when estimating damages. Using a dynamic economy-wide model of Bangladesh, we estimate and decompose damages from historical climate variability and future anthropogenic climate change. Our stochastic simulation approach avoids biases caused by non-linear damage functions and fixed occurrences of extreme events in historical data. Using ten climate projections, we find that future anthropogenic climate change damages until 2050 are, on average, one-fifth of those from historical climate variability. Climate change also alters the temporal distribution of damages and slows Bangladeshâ..s long- run shift (adaptation) into dry (winter) season rice production.

Poverty Reduction and Economic Structure: Comparative Path Analysis for Mozambique and Vietnam

While economic growth generally reduces income poverty, there are pronounced differences in the strength of this relationship across countries. Typical explanations for this variation include measurement errors in growth-poverty accounting and countries’ different compositions of economic growth. We explore the additional influence of economic structure in determining a country’s growth-poverty relationship and performance. Using multiplier and structural path analysis, we compare the experiences of Mozambique and Vietnam—two countries with similar levels and compositions of economic growth but divergent poverty outcomes. We find that the structure of the Vietnamese economy more naturally lends itself to generating broad-based growth. A given agricultural demand expansion in Mozambique will, ceteris paribus, achieve much less rural income growth than in Vietnam. Inadequate education, trade and transport systems are found to be more severe structural constraints to poverty reduction in Mozambique than in Vietnam. Investing in these areas can significantly enhance the effectiveness of Mozambican growth to reduce poverty.

Economic Development under Climate Change

The papers in this special issue represent some of the most comprehensive analyses of the implications of climate change for developing countries undertaken to date. The papers employ a bottoms-up systems approach whereby the implications of climate change are evaluated using structural models of agriculture and infrastructure systems. The authors of the paper hail from multiple disciplines. This comprehensive, multi-disciplinary, structural approach is designed to allow for more robust insight into the potential implications of climate change. The approach also allows for experimentation with alternative policy options for achieving development objectives in the context of climate change.