IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v46y2014i35p4309-4317.html
   My bibliography  Save this article

Livestock emissions regulation with unknown damages and strategic technology adoption

Author

Listed:
  • J. C. Hadrich
  • J. J. Jackson

Abstract

Livestock emissions have been identified as a contributor to greenhouse gas build-up yet have remained unregulated in the US. A game-theoretic model in the style of Tarui and Polasky (2005) was analysed where the dairy industry strategically chooses to abate air emissions with technology adoption and herd size decisions while a regulator chooses a tax rate on emissions to satisfy the desires of competing interest groups. This model allows the effects of potential air emission regulation on the dairy industry to be evaluated. Results demonstrate that dairy farms react to the increased cost of air regulation by decreasing herd size rather than investing in air emission abatement technology in the short run. This suggests that incentives may need to be put in place to induce adoption in emissions abatement technology at the livestock level in the long run.

Suggested Citation

  • J. C. Hadrich & J. J. Jackson, 2014. "Livestock emissions regulation with unknown damages and strategic technology adoption," Applied Economics, Taylor & Francis Journals, vol. 46(35), pages 4309-4317, December.
  • Handle: RePEc:taf:applec:v:46:y:2014:i:35:p:4309-4317 DOI: 10.1080/00036846.2014.957440
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2014.957440
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yanrui Wu, 2016. "China's Capital Stock Series by Region and Sector," Frontiers of Economics in China, Higher Education Press, vol. 11(1), pages 156-172, March.
    2. Nelson C. Mark & Masao Ogaki & Donggyu Sul, 2005. "Dynamic Seemingly Unrelated Cointegrating Regressions," Review of Economic Studies, Oxford University Press, vol. 72(3), pages 797-820.
    3. Christian Dreger & Dierk Herzer, 2013. "A further examination of the export-led growth hypothesis," Empirical Economics, Springer, pages 39-60.
    4. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    5. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(03), pages 597-625, June.
    6. Jushan Bai & Serena Ng, 2004. "A PANIC Attack on Unit Roots and Cointegration," Econometrica, Econometric Society, vol. 72(4), pages 1127-1177, July.
    7. Jordan Shan & Fiona Sun, 1998. "On the export-led growth hypothesis: the econometric evidence from China," Applied Economics, Taylor & Francis Journals, vol. 30(8), pages 1055-1065.
    8. Christian Dreger & Yanqun Zhang, 2011. "The Chinese Impact on GDP Growth and Inflation in the Industrial Countries," Discussion Papers of DIW Berlin 1151, DIW Berlin, German Institute for Economic Research.
    9. Bo Chen, 2011. "Export Variety, Revenue, and Productivity in China," Review of International Economics, Wiley Blackwell, vol. 19(2), pages 341-355, May.
    10. Pedroni, Peter, 1999. " Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-670, Special I.
    11. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    12. Jun Zhang, 2008. "Estimation of China's provincial capital stock (1952-2004) with applications," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 6(2), pages 177-196.
    13. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    Full references (including those not matched with items on IDEAS)

    More about this item

    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:taf:applec:v:46:y:2014:i:35:p:4309-4317. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Longhurst). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.

    We have no references for this item. You can help adding them by using 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.