IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-04081036.html
   My bibliography  Save this paper

Cost of abating excess nitrogen on wheat plots in France: An assessment with multi‐technology modelling

Author

Listed:
  • H Dakpo

    (UMR PSAE - Paris-Saclay Applied Economics - AgroParisTech - Université Paris-Saclay - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, ETH Zürich - Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich])

  • Yann Desjeux

    (BSE - Bordeaux Sciences Economiques - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique)

  • Laure Latruffe

    (BSE - Bordeaux Sciences Economiques - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique)

Abstract

We use a multi-equation model of polluting technologies to evaluate excess nitrogen's marginal abatement cost (MAC). The MAC is estimated using the convex non-parametric quantile regression. The empirical application is conducted at the plot level for wheat production in France in 2017. Results show a median shadow price for excess nitrogen of about €21 per kilogram. If the current European Union's Nitrates Directive (which sets a 170-kg constraint on organic nitrogen per hectare) were extended to mineral nitrogen, this would allow a reduction of total excess nitrogen by 9.5%, but this would be accompanied by a 3.1% decrease in wheat revenue.

Suggested Citation

  • H Dakpo & Yann Desjeux & Laure Latruffe, 2023. "Cost of abating excess nitrogen on wheat plots in France: An assessment with multi‐technology modelling," Post-Print hal-04081036, HAL.
    • Handle: RePEc:hal:journl:hal-04081036
    DOI: 10.1111/1477-9552.12534
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Berre, David & Boussemart, Jean-Philippe & Leleu, Hervé & Tillard, Emmanuel, 2013. "Economic value of greenhouse gases and nitrogen surpluses: Society vs farmers’ valuation," European Journal of Operational Research, Elsevier, vol. 226(2), pages 325-331.
    2. Haruvy, Nava & Hadas, A. & Hadas, Aviva, 1997. "Cost assessment of various means of averting environmental damage and groundwater contamination from nitrate seepage," Agricultural Water Management, Elsevier, vol. 32(3), pages 307-320, March.
    3. Mamardashvili, Phatima & Emvalomatis, Grigorios & Jan, Pierrick, 2016. "Environmental Performance and Shadow Value of Polluting on Swiss Dairy Farms," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(2), May.
    4. Emir Malikov & Raushan Bokusheva & Subal C. Kumbhakar, 2018. "A hedonic-output-index-based approach to modeling polluting technologies," Empirical Economics, Springer, vol. 54(1), pages 287-308, February.
    5. Semaan, Josephine & Flichman, Guillermo & Scardigno, Alessandra & Steduto, Pasquale, 2007. "Analysis of nitrate pollution control policies in the irrigated agriculture of Apulia Region (Southern Italy): A bio-economic modelling approach," Agricultural Systems, Elsevier, vol. 94(2), pages 357-367, May.
    6. Jacquet, Florence & Butault, Jean-Pierre & Guichard, Laurence, 2011. "An economic analysis of the possibility of reducing pesticides in French field crops," Ecological Economics, Elsevier, vol. 70(9), pages 1638-1648, July.
    7. K Hervé Dakpo & Philippe Jeanneaux & Laure Latruffe, 2017. "Greenhouse gas emissions and efficiency in French sheep meat farming: A non-parametric framework of pollution-adjusted technologies," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 44(1), pages 33-65.
    8. Stijn Reinhard & C. A. Knox Lovell & Geert Thijssen, 2002. "Analysis of Environmental Efficiency Variation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(4), pages 1054-1065.
    9. Puggioni, Daniela & Stefanou, Spiro E., 2019. "The value of being socially responsible: A primal-dual approach," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1090-1103.
    10. Jeanneaux, Philippe & Latruffe, Laure, 2016. "Modelling pollution-generating technologies in performance benchmarking: Recent developments, limits and future prospects in the nonparametric frameworkAuthor-Name: Dakpo, K. Hervé," European Journal of Operational Research, Elsevier, vol. 250(2), pages 347-359.
    11. Sushama Murty & Resham Nagpal, 2019. "Measuring output-based technical efficiency of Indian coal-based thermal power plants," Indian Growth and Development Review, Emerald Group Publishing Limited, vol. 13(1), pages 175-206, June.
    12. Boussemart, Jean-Philippe & Leleu, Hervé & Shen, Zhiyang & Vardanyan, Michael & Zhu, Ning, 2019. "Decomposing banking performance into economic and credit risk efficiencies," European Journal of Operational Research, Elsevier, vol. 277(2), pages 719-726.
    13. Wang, Yongqiao & Wang, Shouyang & Dang, Chuangyin & Ge, Wenxiu, 2014. "Nonparametric quantile frontier estimation under shape restriction," European Journal of Operational Research, Elsevier, vol. 232(3), pages 671-678.
    14. Isabelle Piot-Lepetit & Dominique Vermersch, 1998. "Pricing organic nitrogen under the weak disposability assumption : an application to the French pig sector," Post-Print hal-02299654, HAL.
    15. Isabelle Piot‐Lepetit & Dominique Vermersch, 1998. "Pricing Organic Nitrogen Under The Weak Disposability Assumption: An Application to the French Pig Sector," Journal of Agricultural Economics, Wiley Blackwell, vol. 49(1), pages 85-99, March.
    16. Lee, Chia-Yen & Johnson, Andrew L. & Moreno-Centeno, Erick & Kuosmanen, Timo, 2013. "A more efficient algorithm for Convex Nonparametric Least Squares," European Journal of Operational Research, Elsevier, vol. 227(2), pages 391-400.
    17. Timo Kuosmanen, 2008. "Representation theorem for convex nonparametric least squares," Econometrics Journal, Royal Economic Society, vol. 11(2), pages 308-325, July.
    18. 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.
    19. Fare, Rolf & Grosskopf, Shawna & Noh, Dong-Woon & Weber, William, 2005. "Characteristics of a polluting technology: theory and practice," Journal of Econometrics, Elsevier, vol. 126(2), pages 469-492, June.
    20. Skevas, Theodoros & Stefanou, Spiro E. & Oude Lansink, Alfons, 2014. "Pesticide use, environmental spillovers and efficiency: A DEA risk-adjusted efficiency approach applied to Dutch arable farming," European Journal of Operational Research, Elsevier, vol. 237(2), pages 658-664.
    21. Rolf Färe & Shawna Grosskopf, 2003. "Nonparametric Productivity Analysis with Undesirable Outputs: Comment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 1070-1074.
    22. Timo Kuosmanen & Andrew L. Johnson, 2010. "Data Envelopment Analysis as Nonparametric Least-Squares Regression," Operations Research, INFORMS, vol. 58(1), pages 149-160, February.
    23. Florence Jacquet & Jean-Pierre Butault & Laurence Guichard, 2011. "An economic analysis of the possibility of reducing pesticides in French field crops," Post-Print hal-01018979, HAL.
    24. Reinhard, Stijn & Knox Lovell, C. A. & Thijssen, Geert J., 2000. "Environmental efficiency with multiple environmentally detrimental variables; estimated with SFA and DEA," European Journal of Operational Research, Elsevier, vol. 121(2), pages 287-303, March.
    25. Schmidt, Alena & Necpalova, Magdalena & Mack, Gabriele & Möhring, Anke & Six, Johan, 2021. "A food tax only minimally reduces the N surplus of Swiss agriculture," Agricultural Systems, Elsevier, vol. 194(C).
    26. Robertson R. B. Khataza & Atakelty Hailu & Marit E. Kragt & Graeme J. Doole, 2017. "Estimating shadow price for symbiotic nitrogen and technical efficiency for legume-based conservation agriculture in Malawi," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(3), pages 462-480, July.
    27. 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.
    28. Kuosmanen, Timo & Zhou, Xun, 2021. "Shadow prices and marginal abatement costs: Convex quantile regression approach," European Journal of Operational Research, Elsevier, vol. 289(2), pages 666-675.
    29. Polman, Nico B. P. & Thijssen, Geert J., 2002. "Combining results of different models: the case of a levy on the Dutch nitrogen surplus," Agricultural Economics, Blackwell, vol. 27(1), pages 41-49, May.
    30. Adewale Henry Adenuga & John Davis & George Hutchinson & Trevor Donnellan & Myles Patton, 2019. "Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(3), pages 1273-1298, November.
    31. Shaik, Saleem & Helmers, Glenn A. & Langemeier, Michael R., 2002. "Direct And Indirect Shadow Price And Cost Estimates Of Nitrogen Pollution Abatement," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(2), pages 1-13, December.
    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. Wen, Xiaojie & Yao, Shunbo & Sauer, Johannes, 2022. "Shadow prices and abatement cost of soil erosion in Shaanxi Province, China: Convex expectile regression approach," Ecological Economics, Elsevier, vol. 201(C).
    2. Aparicio, Juan & Kapelko, Magdalena & Zofío, José L., 2020. "The measurement of environmental economic inefficiency with pollution-generating technologies," Resource and Energy Economics, Elsevier, vol. 62(C).
    3. Magambo, Isaiah & Dikgang, Johane & Gelo, Dambala & Tregenna, Fiona, 2021. "Environmental and Technical Efficiency in Large Gold Mines in Developing Countries," MPRA Paper 108068, University Library of Munich, Germany.
    4. Serra, Teresa & Chambers, Robert G. & Oude Lansink, Alfons, 2014. "Measuring technical and environmental efficiency in a state-contingent technology," European Journal of Operational Research, Elsevier, vol. 236(2), pages 706-717.
    5. Juan Aparicio & Magdalena Kapelko & Lidia Ortiz, 2021. "Modelling environmental inefficiency under a quota system," Operational Research, Springer, vol. 21(2), pages 1097-1124, June.
    6. Kumbhakar, Subal C. & Tsionas, Efthymios G., 2016. "The good, the bad and the technology: Endogeneity in environmental production models," Journal of Econometrics, Elsevier, vol. 190(2), pages 315-327.
    7. Rødseth, Kenneth Løvold, 2023. "Shadow pricing of electricity generation using stochastic and deterministic materials balance models," Applied Energy, Elsevier, vol. 341(C).
    8. West, Steele, 2021. "The Estimation of Farm Business Inefficiency in the Presence of Debt Repayment," 2021 Conference, August 17-31, 2021, Virtual 315048, International Association of Agricultural Economists.
    9. Dakpo, K Hervé & Lansink, Alfons Oude, 2019. "Dynamic pollution-adjusted inefficiency under the by-production of bad outputs," European Journal of Operational Research, Elsevier, vol. 276(1), pages 202-211.
    10. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    11. Boussemart, Jean-Philippe & Leleu, Hervé & Shen, Zhiyang, 2017. "Worldwide carbon shadow prices during 1990–2011," Energy Policy, Elsevier, vol. 109(C), pages 288-296.
    12. Tateishi, Henrique Ryosuke & Bragagnolo, Cassiano & de Faria, Rosane Nunes, 2020. "Economic and environmental efficiencies of greenhouse gases’ emissions under institutional influence," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    13. Robert G. Chambers & Teresa Serra, 2018. "The social dimension of firm performance: a data envelopment approach," Empirical Economics, Springer, vol. 54(1), pages 189-206, February.
    14. Dai, Sheng, 2023. "Variable selection in convex quantile regression: L1-norm or L0-norm regularization?," European Journal of Operational Research, Elsevier, vol. 305(1), pages 338-355.
    15. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    16. Dai, Sheng & Kuosmanen, Timo & Zhou, Xun, 2023. "Generalized quantile and expectile properties for shape constrained nonparametric estimation," European Journal of Operational Research, Elsevier, vol. 310(2), pages 914-927.
    17. Amer Ait Sidhoum & Philipp Mennig & Johannes Sauer, 2023. "Do agri-environment measures help improve environmental and economic efficiency? Evidence from Bavarian dairy farmers," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(3), pages 918-953.
    18. Scarlett Wang & Frederic Ang & Alfons Oude Lansink, 2023. "Mitigating greenhouse gas emissions on Dutch dairy farms. An efficiency analysis incorporating the circularity principle," Agricultural Economics, International Association of Agricultural Economists, vol. 54(6), pages 819-837, November.
    19. Frederic Ang & Simon M. Mortimer & Francisco J. Areal & Richard Tiffin, 2018. "On the Opportunity Cost of Crop Diversification," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(3), pages 794-814, September.
    20. Parisa Aghajanzadeh-Darzi & Pierre-Alain Jayet & Athanasios Petsakos, 2017. "Improvement of a Bio-Economic Mathematical Programming Model in the Case of On-Farm Source Inputs and Outputs," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 15(3), pages 489-508, September.

    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:hal:journl:hal-04081036. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.