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The efficiency assessment of food safety in China's agriculture: a case study of the rice sector

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  • Zhang Tao

    (Department of Economics, National University of Ireland, Galway, Ireland)

Abstract

Rice is the main food in China's home consumption and plays an important role in its food security. But, how is the status of food safety and environmental efficiency in China's agriculture? Obviously, an incorrect manner of pesticide application will hold negative effects on human health and environment. In this article, we develop an analytical framework based on the Luenberger DEA method to calculate the output technical efficiency and input environmental efficiency simultaneously. In the second-stage analysis, the stochastic frontier model is used to estimate the impact of explanatory variables and managerial efficiency on efficiency. We apply the methodology in the empirical case study of China's rice production for measuring the food safety performance of China's rice sector.

Suggested Citation

  • Zhang Tao, 2008. "The efficiency assessment of food safety in China's agriculture: a case study of the rice sector," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 54(11), pages 521-528.
    • Handle: RePEc:caa:jnlage:v:54:y:2008:i:11:id:265-agricecon
    DOI: 10.17221/265-AGRICECON
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    References listed on IDEAS

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    1. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    2. H. Fried & C. Lovell & S. Schmidt & S. Yaisawarng, 2002. "Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 17(1), pages 157-174, January.
    3. Jean‐Philippe Boussemart & Walter Briec & Kristiaan Kerstens & Jean‐Christophe Poutineau, 2003. "Luenberger and Malmquist Productivity Indices: Theoretical Comparisons and Empirical Illustration," Bulletin of Economic Research, Wiley Blackwell, vol. 55(4), pages 391-405, October.
    4. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    5. Tao Zhang, 2008. "Environmental performance in China's agricultural sector: a case study in corn production," Applied Economics Letters, Taylor & Francis Journals, vol. 15(8), pages 641-645.
    6. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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