Larson, Donald F.

Development Research Group, World Bank
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Fields of Specialization
Rural Development Policy; Natural Resource Policy; Agricultural Productivity and Growth; Climate Change Policy and Markets; Commodity Markets and Risk
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Development Research Group, World Bank
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Last updated January 31, 2023
Donald F. Larson is a Senior Economist with the World Bank’s Development Research Group. He holds a B.A in economics from the College of William and Mary, an M.A. in economics from Virginia Tech, and a Ph.D. in Agricultural and Resource Economics from the University of Maryland. With colleagues, he has authored or edited five books, including An African Green Revolution: Finding Ways to Boost Productivity on Small Farms, a forthcoming volume from Springer, and The Clean Development Mechanism: An Early History of Unanticipated Outcomes, a forthcoming volume from World Scientific. He has published numerous book chapters and journal articles, with an emphasis on agricultural productivity and growth; food and rural development policies; natural resource policies; the institutions and markets related to climate change; and the performance of commodity futures and risk markets. During his time with the World Bank, Don has participated in policy discussion in Africa, Eastern Europe, Central Asia, East Asia, Latin America, and the Caribbean. He was a member of the team that launched the World Bank’s Prototype Carbon Fund.  
Citations 155 Scopus

Publication Search Results

Now showing 1 - 4 of 4
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    Determinants of Agricultural Growth in Indonesia, the Philippines, and Thailand
    (World Bank, Washington, D.C., 2002-03) Mundlack, Yair ; Larson, Donald F. ; Butzer, Rita
    The introduction of new high-yielding varieties of cereals in the 1960s, known as the green revolution. Changed dramatically the food supply I Asia, as well as in other countries. The authors examine over an extended period, the growth consequences for agriculture in Indonesia, the Philippines, and Thailand. Despite geographic proximity, similar climate, and other shared characteristics, gains in productivity, and income differed significantly among the countries. The authors quantify these differences, and examine their determinants. They find that the new technology changed the returns to fertilizers, irrigated land, and capital, all of which proved scarce to varying degrees, Complementing technology-related changes in factor use were investments - public and private - driven in part by policy. The authors find that factor accumulation played an important role in output growth, and that accumulations from policy-driven investments in human capital, and public infrastructure, were important sources of productivity gains. They conclude that policies that ease constraints on factor markets, and promote public investment in people, and infrastructure, provide the best opportunities for agricultural growth.
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    Intersectoral Migration in Southeast Asia : Evidence from Indonesia, Thailand, and the Philippines
    (World Bank, Washington, DC, 2003-01) Butzer, Rita ; Mundlak, Yair ; Larson, Donald F.
    Using time series data spanning three decades, the authors examine the determinants of sectoral migration in Indonesia, Thailand and the Philippines. They employ a principal components algorithm to address problems associated with trended and inter-correlated explanatory variables. Migration rates in the three countries are low relative to other developing countries with the consequence of persistent inter-sectoral income differentials. Even so, the rate of migration has been responsive to income ratios in each country. The migration rates were also affected by the absorbing capacity of non-agriculture, as indicated by several measures. In contrast to other studies, policy variables consisting of indicators of physical and human capital had little impact on the migration rate separate from that captured by relative incomes.
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    Heterogeneous Technology and Panel Data : The Case of the Agricultural Production Function
    (World Bank, Washington, DC, 2008-02) Mundlak, Yair ; Butzer, Rita ; Larson, Donald F.
    The paper presents empirical analysis of a panel of countries to estimate an agricultural production function using a measure of capital in agriculture absent from most studies. The authors employ a heterogeneous technology framework where implemented technology is chosen jointly with inputs to interpret information obtained in the empirical analysis of panel data. The paper discusses the scope for replacing country and time effects by observed variables and the limitations of instrumental variables. The empirical results differ from those reported in the literature for cross-country studies, largely in augmenting the role of capital, in combination with productivity gains, as a driver of agricultural growth. The results indicate that total factor productivity increased at an average rate of 3.2 percent, accounting for 59 percent of overall growth. Most of the remaining gains stem from large inflows of fixed capital into agriculture. The results also suggest possible constraints to fertilizer use.
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    Measures of Fixed Capital in Agriculture
    ( 2010-11-01) Butzer, Rita ; Mundlak, Yair ; Larson, Donald F.
    Capital is a fundamental component of agricultural production, and the accumulation of capital is key to growth in agriculture and the process of development. Unfortunately, cross-country data sets on agricultural fixed capital are rare. Using a common methodology that allows comparisons across countries, as well as over time, this paper introduces a data series on fixed capital in agriculture, based on national accounts data. The fixed capital measure differs remarkably from the Food and Agriculture Organization's data series on tractors, which has been widely utilized as a proxy for agricultural fixed capital. The authors construct comparable measures of capital in livestock and tree stock. They examine the evolution of the capital stocks from 1970 to 2000, paying particular attention to the changing composition of agricultural capital, as well as differences in the accumulation of capital for high-income and middle and lower-income countries. Using the capital measures in agricultural productivity analyses, the data yield estimated input elasticities substantially different from those found previously in the literature. The authors show explicitly that this is due to the improved data set on agricultural capital stocks, as well as the methodology used in the study.