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Valuing Agricultural Externalities: Nitrogen Surplus in the Dairy Sector on the Island of Ireland

Author

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  • Adenuga, A.
  • Davis, J.
  • Hutchinson, G.
  • Donnellan, T.
  • Patton, M.

Abstract

Negative agricultural externalities that accompany dairy production activities are not usually accounted for in the market place since they are not priced. To be able to manage an externality however, it is important that it is measured. Using a hyperbolic environmental technology distance function, we estimate the farm-specific abatement costs (shadow price) of nitrogen pollution in the island of Ireland's (Northern Ireland and the Republic of Ireland) dairy sector. The methodology, unlike the output/input distance functions, allows for asymmetric treatments of production outputs (desirable and undesirable outputs). We also analyse the farm level nitrogen pollution costs ratio and its determinants. The analyses are based on farm-level panel data from the Teagasc National Farm Survey(NFS) and the Northern Ireland Farm Business Survey (FBS). The results of our estimation showed that it will cost about 93,552 and 28,149 per farm to fully abate nitrogen surplus for Northern Ireland and the Republic of Ireland respectively. We found a reasonable degree of variation in the spectrum of abatement costs across the dairy farms with a relative increase observed over the years. The results will provide quantitative information on farmers costs of reducing nitrogen pollution. This will be of relevance in designing future agri-environmental policies Acknowledgement : This study is funded by Teagasc under the Walsh fellowship programme. The authors thank Agri-Food and Biosciences Institute, Northern Ireland for providing technical supports. We also thank the Department of Agriculture, Environment and Rural Affairs (DAERA), Policy and Economics Division, Northern Ireland and Teagasc for providing access to data

Suggested Citation

  • Adenuga, A. & Davis, J. & Hutchinson, G. & Donnellan, T. & Patton, M., 2018. "Valuing Agricultural Externalities: Nitrogen Surplus in the Dairy Sector on the Island of Ireland," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277434, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae18:277434
    DOI: 10.22004/ag.econ.277434
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    References listed on IDEAS

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    1. J. Colin Glass & Donal G. McKillop & Barry Quinn & John Wilson, 2014. "Cooperative bank efficiency in Japan: a parametric distance function analysis," The European Journal of Finance, Taylor & Francis Journals, vol. 20(3), pages 291-317, March.
    2. 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.
    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. Wei, Chu & Löschel, Andreas & Liu, Bing, 2013. "An empirical analysis of the CO2 shadow price in Chinese thermal power enterprises," Energy Economics, Elsevier, vol. 40(C), pages 22-31.
    5. Pittman, Russell W, 1983. "Multilateral Productivity Comparisons with Undesirable Outputs," Economic Journal, Royal Economic Society, vol. 93(372), pages 883-891, December.
    6. Hailu, Atakelty & Veeman, Terrence S., 2000. "Environmentally Sensitive Productivity Analysis of the Canadian Pulp and Paper Industry, 1959-1994: An Input Distance Function Approach," Journal of Environmental Economics and Management, Elsevier, vol. 40(3), pages 251-274, November.
    7. 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.
    8. 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.
    9. Reinhard Schunck, 2013. "Within and between estimates in random-effects models: Advantages and drawbacks of correlated random effects and hybrid models," Stata Journal, StataCorp LP, vol. 13(1), pages 65-76, March.
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