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Measuring soil quality dynamics A role for economists, and implications for economic analysis
Author(s) -
Kim Kwansoo,
Barham Bradford L.,
Coxhead Ian
Publication year - 2000
Publication title -
agricultural economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.29
H-Index - 82
eISSN - 1574-0862
pISSN - 0169-5150
DOI - 10.1111/j.1574-0862.2001.tb00232.x
Subject(s) - incentive , quality (philosophy) , soil quality , proxy (statistics) , economics , land use , agriculture , environmental economics , econometrics , computer science , microeconomics , soil water , environmental science , soil science , ecology , philosophy , epistemology , machine learning , biology
Measuring soil quality is extremely difficult, yet it has clear economic importance. In particular, there is a great deal of empirical interest in the dynamics of soil quality evolution when land managers respond to policies and other incentives. Yet current methodologies for measuring changes in agricultural land quality are largely static and rely heavily either on incomplete measures such as proxy variables, or ad hoc indexes of selected soil characteristics. Moreover, much empirical work relies on static econometric techniques or simulation models. In this paper, we develop a means to infer soil quality changes from input and output data using a dynamic production function model. Using data from field experiments, we estimate the model in a way that allows the recovery of a dynamic measure of soil quality whose evolution depends on variations in management practices. Our methodology and findings will help provide firmer empirical foundations for analyses of the economic implications of land degradation and the soil quality implications of agricultural policies.