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Nitrate leaching and efficiency measurement in intensive farming systems: A parametric by‐production technology approach

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  • Michail Tsagris
  • Vangelis Tzouvelekas

Abstract

This paper develops a novel empirical framework for estimating individual emission levels in a nonpoint source (NPS) pollution problem. For doing so, we build upon the sequential GME model suggested by Kaplan et al. using a specific theoretical structure describing both crop production technology and nature's residual generating mechanism in line with the multiple production relations model suggested by Murty et al. Our empirical model is fitted into a parametric stochastic framework and it is applied to a nitrogen leaching problem in a sample of 257 small‐scale greenhouse farms in Crete, Greece during the 2005–2006 cropping period. Empirical results indicate a great dispersion of individual nitrate leaching levels, which are associated with low‐ and high‐profit margins. Improvements in nitrate leaching and fertilizer application efficiency can decrease significantly individual leaching levels providing a more cost effective way to improve water quality in the area.

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  • Michail Tsagris & Vangelis Tzouvelekas, 2022. "Nitrate leaching and efficiency measurement in intensive farming systems: A parametric by‐production technology approach," Agricultural Economics, International Association of Agricultural Economists, vol. 53(4), pages 633-647, July.
  • Handle: RePEc:bla:agecon:v:53:y:2022:i:4:p:633-647
    DOI: 10.1111/agec.12698
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    1. Golan, Amos & Perloff, Jeffrey M., 2002. "Comparison of maximum entropy and higher-order entropy estimators," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 195-211, March.
    2. Y. Farzin & Jonathan Kaplan, 2004. "Nonpoint Source Pollution Control under Incomplete and Costly Information," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 28(4), pages 489-506, August.
    3. Hansen, Lars Garn & Romstad, Eirik, 2007. "Non-point source regulation -- A self-reporting mechanism," Ecological Economics, Elsevier, vol. 62(3-4), pages 529-537, May.
    4. Kaplan, Jonathan D. & Howitt, Richard E. & Farzin, Y. Hossein, 2003. "An information-theoretical analysis of budget-constrained nonpoint source pollution control," Journal of Environmental Economics and Management, Elsevier, vol. 46(1), pages 106-130, July.
    5. Murty, Sushama, 2010. "Externalities and fundamental nonconvexities: A reconciliation of approaches to general equilibrium externality modeling and implications for decentralization," Journal of Economic Theory, Elsevier, vol. 145(1), pages 331-353, January.
    6. Randall Campbell & Kevin Rogers & Jon Rezek, 2008. "Efficient frontier estimation: a maximum entropy approach," Journal of Productivity Analysis, Springer, vol. 30(3), pages 213-221, December.
    7. Karp, Larry, 2005. "Nonpoint source pollution taxes and excessive tax burden," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt8364p7br, Department of Agricultural & Resource Economics, UC Berkeley.
    8. Huffman, Wallace E & Mercier, Stephanie, 1991. "Joint Adoption of Microcomputer Technologies: An Analysis of Farmers' Decisions," The Review of Economics and Statistics, MIT Press, vol. 73(3), pages 541-546, August.
    9. Karp, Larry, 1998. "Nonpoint Source Pollution Taxes and Excessive Tax Burden," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt4z62b52k, Department of Agricultural & Resource Economics, UC Berkeley.
    10. Larry Karp, 2005. "Nonpoint Source Pollution Taxes and Excessive Tax Burden," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 31(2), pages 229-251, June.
    11. Keith C. Knapp & Kurt A. Schwabe, 2008. "Spatial Dynamics of Water and Nitrogen Management in Irrigated Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(2), pages 524-539.
    12. Knapp, Keith C. & Schwabe, Kurt A., 2008. "AJAE Appendix: Spatial Dynamics of Water and Nitrogen Management in Irrigated Agriculture," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 90(2), pages 1-17.
    13. Segerson, Kathleen, 1988. "Uncertainty and incentives for nonpoint pollution control," Journal of Environmental Economics and Management, Elsevier, vol. 15(1), pages 87-98, March.
    14. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers Archive 1488, Iowa State University, Department of Economics.
    15. Stijn Reinhard & C.A. Knox Lovell & Geert Thijssen, 1999. "Econometric Estimation of Technical and Environmental Efficiency: An Application to Dutch Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 44-60.
    16. Murty, Sushama & Robert Russell, R. & Levkoff, Steven B., 2012. "On modeling pollution-generating technologies," Journal of Environmental Economics and Management, Elsevier, vol. 64(1), pages 117-135.
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    Cited by:

    1. Zhu, Ning & Streimikis, Justas & Yu, Zhiqian & Balezentis, Tomas, 2023. "Energy-sustainable agriculture in the European Union member states: Overall productivity growth and structural efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    2. Haleh Delnava & Kristiaan Kerstens & Timo Kuosmanen & Zhiyang Shen, 2024. "Semi-parametric Estimation of Convex and Nonconvex By-Production Technologies," Working Papers 2024-EQM-02, IESEG School of Management.

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