MEASURING AND DECOMPOSING AGRICULTURAL PRODUCTIVITY AND PROFITABILITY CHANGE

The total factor productivity (TFP) of a multiple-output multiple-input firm can be defined as the ratio of an aggregate output to an aggregate input. With this definition, index numbers that measure changes in TFP can be expressed as the ratio of an output quantity index to an input quantity index. This paper uses the term multiplicatively complete to describe TFP index numbers that are constructed in this way. O'Donnell (2008) shows that, irrespective of the returns to scale and/or scope properties of the production technology, all multiplicatively complete TFP index numbers can be decomposed into widely-used measures of technical change and technical efficiency change, as well as unambiguous measures of scale and mix efficiency change. Members of the class of multiplicatively complete TFP index numbers include the Fisher, Tornquist and Moorsteen-Bjurek indexes, but not the popular Malmquist index of Caves, Christensen and Diewert (1982a). This paper uses data envelopment analysis (DEA) to compute and decompose Moorsteen-Bjurek indexes of world agricultural TFP change for the period 1970- 2001. In a DEA model that prohibits technical regress, only two countries are found to maximize TFP during the study period: Nepal from 1970 to 1995, and Thailand for several years in the late 1990s. The paper explains how changes in the agricultural terms of trade have drawn other larger agricultural producers away from TFP-maximizing input-output points. The annual rate of technical progress in global agriculture is estimated to be less than 1% per annum.


Issue Date:
2009
Publication Type:
Conference Paper/ Presentation
Record Identifier:
http://ageconsearch.umn.edu/record/47625
PURL Identifier:
http://purl.umn.edu/47625
Total Pages:
27




 Record created 2017-04-01, last modified 2018-01-22

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