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A parametric analysis of eco-efficiency and its determinants: Evidence from Norwegian dairy farms

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  • Habtamu Alem

    (Department of Economics and Society, Norwegian Institute of Bioeconomy Research (NIBIO), Ås, Norway)

Abstract

This study aims to estimate eco-efficiency scores and identify determinants of Norwegian dairy farms using a parametric approach that accounts for methane emissions. The study incorporates an environmental output measure and draws on 30 years of panel data from 692 specialist dairy farms (1991-2020). The findings indicate that Norwegian dairy farms are inefficient, with room for improvement in the dairy production system and the environment. According to the average eco-efficiency score, conventional dairy farms could cut input use and CH4 emissions by 5% while maintaining output. Furthermore, the study found that land tenure, experience, and government subsidies all positively impact eco-efficiency. Policymakers should encourage the best-performing dairy farms to share information on increasing productivity while considering environmental concerns to achieve better social and agricultural development. It should be noted that the study only looks at livestock methane emissions; future research may investigate other environmental factors.

Suggested Citation

  • Habtamu Alem, 2023. "A parametric analysis of eco-efficiency and its determinants: Evidence from Norwegian dairy farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(7), pages 284-290.
  • Handle: RePEc:caa:jnlage:v:69:y:2023:i:7:id:149-2023-agricecon
    DOI: 10.17221/149/2023-AGRICECON
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    References listed on IDEAS

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    1. Christian Stetter & Johannes Sauer, 2022. "Greenhouse Gas Emissions and Eco-Performance at Farm Level: A Parametric Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(3), pages 617-647, March.
    2. Luis Orea & Alan Wall, 2017. "A Parametric Approach to Estimating Eco-Efficiency," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(3), pages 901-907, September.
    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. Gjalt Huppes & Masanobu Ishikawa, 2005. "A Framework for Quantified Eco‐efficiency Analysis," Journal of Industrial Ecology, Yale University, vol. 9(4), pages 25-41, October.
    5. Timo Kuosmanen & Mika Kortelainen, 2005. "Measuring Eco‐efficiency of Production with Data Envelopment Analysis," Journal of Industrial Ecology, Yale University, vol. 9(4), pages 59-72, October.
    6. Le, Stephanie & Jeffrey, Scott & An, Henry, 2020. "Greenhouse Gas Emissions and Technical Efficiency in Alberta Dairy Production: What Are the Trade-Offs?," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 52(2), pages 177-193, May.
    7. Kumbhakar,Subal C. & Wang,Hung-Jen & Horncastle,Alan P., 2015. "A Practitioner's Guide to Stochastic Frontier Analysis Using Stata," Cambridge Books, Cambridge University Press, number 9781107609464, September.
    8. Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
    9. Habtamu Alem, 2023. "The role of green total factor productivity to farm-level performance: evidence from Norwegian dairy farms," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-16, December.
    10. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    11. Wettemann, Patrick Johannes Christopher & Latacz-Lohmann, Uwe, 2017. "An efficiency-based concept to assess potential cost and greenhouse gas savings on German dairy farms," Agricultural Systems, Elsevier, vol. 152(C), pages 27-37.
    12. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    13. 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.
    14. Jean Joseph Minviel & Timo Sipiläinen, 2018. "Dynamic stochastic analysis of the farm subsidy-efficiency link: evidence from France," Journal of Productivity Analysis, Springer, vol. 50(1), pages 41-54, October.
    15. Derek Byerlee & Klaus Deininger, 2013. "Growing Resource Scarcity and Global Farmland Investment," Annual Review of Resource Economics, Annual Reviews, vol. 5(1), pages 13-34, June.
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