IDEAS home Printed from https://ideas.repec.org/a/caa/jnlage/v54y2008i11id265-agricecon.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://agricecon.agriculturejournals.cz/doi/10.17221/265-AGRICECON.html
    Download Restriction: free of charge
    File URL: http://agricecon.agriculturejournals.cz/doi/10.17221/265-AGRICECON.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.17221/265-AGRICECON?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    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. 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.
    5. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zeng, Shihong & Jiang, Chunxia & Ma, Chen & Su, Bin, 2018. "Investment efficiency of the new energy industry in China," Energy Economics, Elsevier, vol. 70(C), pages 536-544.
    2. Avkiran, Necmi K. & Rowlands, Terry, 2008. "How to better identify the true managerial performance: State of the art using DEA," Omega, Elsevier, vol. 36(2), pages 317-324, April.
    3. Vaninsky, Alexander, 2010. "Prospective national and regional environmental performance: Boundary estimations using a combined data envelopment – stochastic frontier analysis approach," Energy, Elsevier, vol. 35(9), pages 3657-3665.
    4. Hsiang-Hsi Liu & Tser-Yieth Chen & Jia-Wen Chen, 2013. "Incorporating the Credit Ranking Measure to Evaluate the Operating Efficiency of Financial Holding Companies in Taiwan," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 3(10), pages 1386-1404, October.
    5. Dobranschi, Marian & Nerudová, Danuše & Solilová, Veronika & Litzman, Marek, 2023. "An alternative measure of profit shifting and corporate income tax losses," Journal of Multinational Financial Management, Elsevier, vol. 70.
    6. Carla Henriques & Clara Viseu, 2022. "Are ERDFs Devoted to Boosting ICTs in SMEs Inefficient? A Three-Stage SBM Approach," Sustainability, MDPI, vol. 14(17), pages 1-20, August.
    7. Beniamina Margari & Fabrizio Erbetta & Carmelo Petraglia & Massimiliano Piacenza, 2007. "Regulatory and environmental effects on public transit efficiency: a mixed DEA-SFA approach," Journal of Regulatory Economics, Springer, vol. 32(2), pages 131-151, October.
    8. Xuetong Wang & Wenyong Lai & Xiangnan Song & Chen Lu, 2018. "Implementation Efficiency of Corporate Social Responsibility in the Construction Industry: A China Study," IJERPH, MDPI, vol. 15(9), pages 1-21, September.
    9. Lampe, Hannes W. & Hilgers, Dennis, 2015. "Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA," European Journal of Operational Research, Elsevier, vol. 240(1), pages 1-21.
    10. Jie Wu & Ganggang Zhang & Qingyuan Zhu & Zhixiang Zhou, 2020. "An efficiency analysis of higher education institutions in China from a regional perspective considering the external environmental impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 57-70, January.
    11. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    12. António Afonso & Ana Patricia Montes & José M. Domínguez, 2024. "Measuring Tax Burden Efficiency in OECD Countries: An International Comparison," CESifo Working Paper Series 11333, CESifo.
    13. An, Duong Hoai, 2022. "Performance of universities in Vietnam," International Journal of Educational Development, Elsevier, vol. 91(C).
    14. Banker, Rajiv & Natarajan, Ram & Zhang, Daqun, 2019. "Two-stage estimation of the impact of contextual variables in stochastic frontier production function models using Data Envelopment Analysis: Second stage OLS versus bootstrap approaches," European Journal of Operational Research, Elsevier, vol. 278(2), pages 368-384.
    15. Noel Uri, 2003. "The Effect of Incentive Regulation in Telecommunications in the United States," Quality & Quantity: International Journal of Methodology, Springer, vol. 37(2), pages 169-191, May.
    16. Goddard, John & Molyneux, Philip & Williams, Jonathan, 2014. "Dealing with cross-firm heterogeneity in bank efficiency estimates: Some evidence from Latin America," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 130-142.
    17. Badunenko, Oleg & Galeotti, Marzio & Hunt, Lester C., 2021. "Better to grow or better to improve? Measuring environmental efficiency in OECD countries with a Stochastic Environmental Kuznets Frontier," FEEM Working Papers 316226, Fondazione Eni Enrico Mattei (FEEM).
    18. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    19. Idiano D’Adamo & Cinzia Daraio & Simone Di Leo & Léopold Simar, 2024. "A Flexible and Sustainable Analysis of Waste Efficiency at the European Level," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 25(4), pages 881-894, December.
    20. Duygun, Meryem & Prior, Diego & Shaban, Mohamed & Tortosa-Ausina, Emili, 2016. "Disentangling the European airlines efficiency puzzle: A network data envelopment analysis approach," Omega, Elsevier, vol. 60(C), pages 2-14.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:caa:jnlage:v:54:y:2008:i:11:id:265-agricecon. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.