Productivity in LDC Agriculture: Nonparametric Malmquist Measures
AbstractThis paper examines changes in agricultural productivity in 18 developing countries over the period 1961 to 1985. Because input price series are not available, we use the concept of distance function and the nonparametric, quantity-based Malmquist index approach, and contrast the results with our previous Cobb-Douglas production function approach. The objective is to present an analysis of technological change that is less dependent on the parametric specification of the model. In average terms, the Malmquist constant-returns-to-scale approach indicates that half of these countries have experienced productivity declines. The partitioning of productivity into technical change and technical efficiency components indicates that negative technical change has been responsible for these declines, while most countries have experienced improvements in Farrell efficiency. In addition, countries that tax agriculture most heavily had the most negative rates of productivity change.
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Bibliographic InfoPaper provided by Center for Agricultural and Rural Development (CARD) at Iowa State University in its series Center for Agricultural and Rural Development (CARD) Publications with number 94-gatt10.
Date of creation: Mar 1994
Date of revision:
Other versions of this item:
- Lilyan E. Fulginiti & Richard K. Perrin, 1994. "Productivity in LDC Agriculture: Nonparametric Malmquist Measures," Food and Agricultural Policy Research Institute (FAPRI) Publications 94-gatt10, Food and Agricultural Policy Research Institute (FAPRI) at Iowa State University.
- Fulginiti, Lilyan E. & Perrin, Richard K., 1994. "Productivity in Ldc Agriculture: Nonparametric Malmquist Measures," Staff General Research Papers 688, Iowa State University, Department of Economics.
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