IDEAS home Printed from https://ideas.repec.org/p/ies/wpaper/e202108.html
   My bibliography  Save this paper

Energy Productivity And Greenhouse Gas Emission Intensity In Dutch Dairy Farms: A Hicks-Moorsteen By-Production Approach Under Nonconvexity

Author

Listed:
  • FREDERIC ANG

    (Business Economics Group, Wageningen University, P.O. Box 8130, 6700 EW Wageningen, The Netherlands)

  • KRISTIAAN KERSTENS

    (Univ. Lille, CNRS, IESEG School of Management, UMR 9221 - LEM - Lille Economie Management, F-59000 Lille, France)

Abstract

The agricultural sector is currently confronted with the challenge to reduce greenhouse gas (GHG) emissions, whilst maintaining or increasing production. Energy-saving technologies are often proposed as a partial solution, but the evidence on their ability to reduce GHG emissions remains mixed. Production economics provides methodological tools to analyse the nexus of agricultural production, energy use and GHG emissions. Convexity is predominantly maintained in agricultural production economics, despite various theoretical and empirical reasons to question it. Employing a nonconvex, free disposal hull framework, this paper evaluates energy productivity change (the ratio of aggregate output change to energy use change) and GHG emission intensity change (the ratio of GHG emission change to polluting input change) using Hicks-Moorsteen productivity formulations. We consider GHG emissions as by-products of the production process by means of multi-equation modelling. The application focuses on 1,510 Dutch dairy farms for the period of 2010-2019. The results show a positive association between energy productivity change and GHG emission intensity change, which calls into question the potential of on-farm, energy-efficiency-increasing measures to reduce GHG emission intensity.

Suggested Citation

  • Frederic Ang & Kristiaan Kerstens, 2021. "Energy Productivity And Greenhouse Gas Emission Intensity In Dutch Dairy Farms: A Hicks-Moorsteen By-Production Approach Under Nonconvexity," Working Papers 2021-EQM-07, IESEG School of Management.
    • Handle: RePEc:ies:wpaper:e202108
    as

    Download full text from publisher

    File URL: https://www.ieseg.fr/wp-content/uploads/2021/10/2021-EQM-07.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), 2011. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 4, number 4, June.
    2. Sandra E. Black, 1999. "Do Better Schools Matter? Parental Valuation of Elementary Education," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 577-599.
    3. Fack, Gabrielle & Grenet, Julien, 2010. "When do better schools raise housing prices? Evidence from Paris public and private schools," Journal of Public Economics, Elsevier, vol. 94(1-2), pages 59-77, February.
    4. Ian Davidoff & Andrew Leigh, 2008. "How Much do Public Schools Really Cost? Estimating the Relationship between House Prices and School Quality," The Economic Record, The Economic Society of Australia, vol. 84(265), pages 193-206, June.
    5. Dhar, Paramita & Ross, Stephen L, 2012. "School district quality and property values: Examining differences along school district boundaries," Journal of Urban Economics, Elsevier, vol. 71(1), pages 18-25.
    6. Agarwal, Sumit & Rengarajan, Satyanarain & Sing, Tien Foo & Yang, Yang, 2016. "School allocation rules and housing prices: A quasi-experiment with school relocation events in Singapore," Regional Science and Urban Economics, Elsevier, vol. 58(C), pages 42-56.
    7. Abadie, Alberto & Dermisi, Sofia, 2008. "Is terrorism eroding agglomeration economies in Central Business Districts? Lessons from the office real estate market in downtown Chicago," Journal of Urban Economics, Elsevier, vol. 64(2), pages 451-463, September.
    8. Schwandt, Hannes & Cabral, Marika & Kim, Bokyung & Rossin-Slater, Maya & Schnell, Molly, 2021. "Trauma at School: The Impacts of Shootings on Students’ Human Capital and Economic Outcomes," CEPR Discussion Papers 15628, C.E.P.R. Discussion Papers.
    9. Andreyeva, Elena & Patrick, Carlianne, 2017. "Paying for priority in school choice: Capitalization effects of charter school admission zones," Journal of Urban Economics, Elsevier, vol. 100(C), pages 19-32.
    10. Alberto Abadie & Guido W. Imbens, 2002. "Simple and Bias-Corrected Matching Estimators for Average Treatment Effects," NBER Technical Working Papers 0283, National Bureau of Economic Research, Inc.
    11. Black, Sandra E. & Machin, Stephen, 2011. "Housing Valuations of School Performance," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 10, pages 485-519, Elsevier.
    12. Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), 2011. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 3, number 3, June.
    13. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
    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. Muñoz-Morales, Juan & Singh, Ruchi, 2023. "Do school shootings erode property values?," Regional Science and Urban Economics, Elsevier, vol. 98(C).
    2. Michio Naoi, 2020. "School Quality and Residential Property Values: A Review of Recent Developments and Applications," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 16(6), pages 1-23, September.
    3. Chan, Jimmy & Fang, Xian & Wang, Zhi & Zai, Xianhua & Zhang, Qinghua, 2020. "Valuing primary schools in urban China," Journal of Urban Economics, Elsevier, vol. 115(C).
    4. Imberman, Scott A. & Lovenheim, Michael F., 2016. "Does the market value value-added? Evidence from housing prices after a public release of school and teacher value-added," Journal of Urban Economics, Elsevier, vol. 91(C), pages 104-121.
    5. Kang Mo Koo & Jerry Liang, 2021. "The Effect of Bilingual Education on Housing Price-a Case Study of Bilingual School Conversion," The Journal of Real Estate Finance and Economics, Springer, vol. 62(4), pages 629-664, May.
    6. Erich Battistin & Lorenzo Neri, 2017. "School Performance, Score Inflation and Economic Geography," Working Papers 837, Queen Mary University of London, School of Economics and Finance.
    7. Firpo, Sergio & Ponczek, Vladimir & Possebom, Vítor Augusto, 2014. "Private Education Market, Information on Test Scores and Tuition Practices," IZA Discussion Papers 8476, Institute of Labor Economics (IZA).
    8. Xiaozhou Ding & Christopher Bollinger & Michael Clark & William H. Hoyt, 2020. "How Do School District Boundary Changes and New School Proposals Affect Housing Prices," CESifo Working Paper Series 8069, CESifo.
    9. Oskari Harjunen & Mika Kortelainen & Tuukka Saarimaa, 2018. "Best Education Money Can Buy? Capitalization of School Quality in Finland," CESifo Economic Studies, CESifo Group, vol. 64(2), pages 150-175.
    10. Eli Beracha & William G. Hardin, 2021. "The housing price premium associated with charter schools," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(4), pages 1267-1289, December.
    11. Melser, Daniel & Moallemi, Morteza & Kim, Jun Sung, 2021. "Preferences for single-sex schools: Evidence from the housing market," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 710-726.
    12. Xuejuan Su & Huayi Yu, 2022. "Valuing elementary schools: evidence from public school acquisitions in Beijing," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(4), pages 1117-1141, October.
    13. Pengyu Zhu & Yi Zhang & Juan Wang, 2023. "Canceling the admission priority of private schools enlarges housing price gap in public school districts: Evidence from Shanghai's new admission policy," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(1), pages 49-67, January.
    14. W. Bentley MacLeod & Miguel Urquiola, 2018. "Is Education Consumption or Investment? Implications for the Effect of School Competition," NBER Working Papers 25117, National Bureau of Economic Research, Inc.
    15. Xiaozhou Ding & Christopher Bollinger & Michael Clark & William H. Hoyt, 2022. "Too Late to Buy a Home? School Redistricting and the Timing and Extent of Capitalization," CESifo Working Paper Series 9647, CESifo.
    16. Boustan, Leah Platt & Kahn, Matthew E. & Rhode, Paul W. & Yanguas, Maria Lucia, 2020. "The effect of natural disasters on economic activity in US counties: A century of data," Journal of Urban Economics, Elsevier, vol. 118(C).
    17. Margaret Brehm & Scott A. Imberman & Michael Naretta, 2017. "Capitalization of Charter Schools into Residential Property Values," Education Finance and Policy, MIT Press, vol. 12(1), pages 1-27, Winter.
    18. Gibbons, Stephen & Machin, Stephen & Silva, Olmo, 2013. "Valuing school quality using boundary discontinuities," Journal of Urban Economics, Elsevier, vol. 75(C), pages 15-28.
    19. Thompson, Paul N., 2016. "School district and housing price responses to fiscal stress labels: Evidence from Ohio," Journal of Urban Economics, Elsevier, vol. 94(C), pages 54-72.
    20. Sofia N. Andreou & Panos Pashardes & Nicoletta Pashourtidou, 2015. "The value of state education to consumers," University of Cyprus Working Papers in Economics 05-2015, University of Cyprus Department of Economics.

    More about this item

    Keywords

    energy; greenhouse gas emissions; productivity; dairy; nonconvexity;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:ies:wpaper:e202108. 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: Lies BOUTEN (email available below). General contact details of provider: https://edirc.repec.org/data/iesegfr.html .

    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.