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Bridging the Gap between Partial and Total Factor Productivity Measures Using Directional Distance Functions

Channing Arndt (), Thomas Hertel () and Paul Preckel ()

American Journal of Agricultural Economics, 2003, vol. 85, issue 4, 928-942

Abstract: Technical dependencies as well as data constraints limit our ability to allocate inputs across sectors and hence our ability to measure sectoral productivity. We adapt a directional measure of efficiency to the measurement of sector-specific productivity that does not require allocating all inputs across sectors. Applied to the agricultural sector of a group of countries, the results show important differences in livestock and crops productivity growth. Commonly used partial factor productivity measures for livestock and crops tend to overestimate productivity growth in most developing countries while underestimating it in European countries. Copyright 2003, Oxford University Press.

Date: 2003
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American Journal of Agricultural Economics is currently edited by Madhu Khanna, Brian E. Roe, James Vercammen and JunJie Wu

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