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Using Synthetic Farm Data to Estimate Individual Nitrate Leaching Levels

Author

Listed:
  • Konstantinos Mattas
  • Michail Tsagris
  • Vangelis Tzouvelekas

    (Department of Economics, University of Crete, Greece)

Abstract

he paper develops a novel synthetic population generation scheme to deal with the NPS pollution problem of nitrate leaching from agricultural farms. The scheme relies upon estimation of the joint distribution of the variables using Bayesian network learning which, coupled with the use of non-parametric regression models facilitate the generation of realistic synthetic populations. Then building upon the sequential GME model suggested by Kaplan et al., (2003) in line with the multiple production relations model suggested by Murty et al., (2012) we obtain econometric estimates of both the production technology and nature's residual generating mechanism for the synthetic population of farms. These estimates are used to proxy a reliable optimal taxation scheme that corresponds to local environmental and economic conditions. The methodology is applied to the Greek FADN dataset for the Greek NUTS II region of Thessaly during the 2017-18 cropping year.

Suggested Citation

  • Konstantinos Mattas & Michail Tsagris & Vangelis Tzouvelekas, 2024. "Using Synthetic Farm Data to Estimate Individual Nitrate Leaching Levels," Working Papers 2401, University of Crete, Department of Economics.
    • Handle: RePEc:crt:wpaper:2401
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    File URL: https://economics.soc.uoc.gr/wpa/docs/2401.pdf
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    More about this item

    Keywords

    nitrate leaching; multiple production relations; Generalized Maximum Entropy; synthetic population generation; Bayesian network learning;
    All these keywords.

    JEL classification:

    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q24 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Land
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water

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