IDEAS home Printed from https://ideas.repec.org/a/uwp/landec/v90y2014ii1p199-221.html
   My bibliography  Save this article

Does Pollution Prevention Reduce Toxic Releases? A Dynamic Panel Data Model

Author

Listed:
  • Donna Ramirez Harrington
  • George Deltas
  • Madhu Khanna

Abstract

We investigate the effectiveness of voluntary pollution prevention activities in reducing toxic releases from facilities that reported to the U.S. Environmental Protection Agency’s Toxics Release Inventory from 1991–2001, using generalized method of moments dynamic panel data models that recognize the potential endogeneity of the pollution prevention adoption decision on toxic releases. We find that pollution prevention adoption had a negative impact on toxic releases. The estimated coefficients suggest that the effect of pollution prevention adoption is substantial, but short-lived, dissipating within 4 to 5 years. However, a continual adoption of pollution prevention techniques leads to lower steady-state releases, with estimated reductions between 35% and 50%.

Suggested Citation

  • Donna Ramirez Harrington & George Deltas & Madhu Khanna, 2014. "Does Pollution Prevention Reduce Toxic Releases? A Dynamic Panel Data Model," Land Economics, University of Wisconsin Press, vol. 90(2), pages 199-221.
    • Handle: RePEc:uwp:landec:v:90:y:2014:ii:1:p:199-221
    as

    Download full text from publisher

    File URL: http://le.uwpress.org/cgi/reprint/90/2/199
    Download Restriction: A subscripton is required to access pdf files. Pay per article is available.
    ---><---

    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. Adam B. Jaffe & Karen Palmer, 1997. "Environmental Regulation And Innovation: A Panel Data Study," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 610-619, November.
    2. Madhu Khanna & George Deltas & Donna Harrington, 2009. "Adoption of Pollution Prevention Techniques: The Role of Management Systems and Regulatory Pressures," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 44(1), pages 85-106, September.
    3. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    4. Scott Marchi & James Hamilton, 2006. "Assessing the Accuracy of Self-Reported Data: an Evaluation of the Toxics Release Inventory," Journal of Risk and Uncertainty, Springer, vol. 32(1), pages 57-76, January.
    5. Brunnermeier, Smita B. & Cohen, Mark A., 2003. "Determinants of environmental innovation in US manufacturing industries," Journal of Environmental Economics and Management, Elsevier, vol. 45(2), pages 278-293, March.
    6. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    7. Gray, Wayne B & Shadbegian, Ronald J, 1998. "Environmental Regulation, Investment Timing, and Technology Choice," Journal of Industrial Economics, Wiley Blackwell, vol. 46(2), pages 235-256, June.
    8. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291.
    9. Robert Innes & Abdoul G. Sam, 2008. "Voluntary Pollution Reductions and the Enforcement of Environmental Law: An Empirical Study of the 33/50 Program," Journal of Law and Economics, University of Chicago Press, vol. 51(2), pages 271-296, May.
    10. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    11. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Harrington, Donna Ramirez, 2012. "Two-stage adoption of different types of pollution prevention (P2) activities," Resource and Energy Economics, Elsevier, vol. 34(3), pages 349-373.
    2. George Deltas & Donna Ramirez Harrington & Madhu Khanna, 2021. "The impact of management systems on technical change: the adoption of pollution prevention techniques," Economic Change and Restructuring, Springer, vol. 54(1), pages 171-198, February.
    3. Halkos, George & Polemis, Michael, 2018. "Does market structure trigger efficiency? Evidence for the USA before and after the financial crisis," MPRA Paper 84511, University Library of Munich, Germany.
    4. Keith Brouhle & Brad Graham & Donna Ramirez Harrington, 2023. "Patents and P2: Innovation and Technology Adoption for Environmental Improvements," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(2), pages 439-474, February.
    5. Michael L. Polemis & Thanasis Stengos, 2019. "Does competition prevent industrial pollution? Evidence from a panel threshold model," Business Strategy and the Environment, Wiley Blackwell, vol. 28(1), pages 98-110, January.
    6. Xiang Bi & Connor Mullally, 2021. "Does Peer Adoption Increase the Diffusion of Pollution Prevention Practices?," Land Economics, University of Wisconsin Press, vol. 97(1), pages 224-245.
    7. Xiang Bi, 2017. "“Cleansing the air at the expense of waterways?” Empirical evidence from the toxic releases of coal-fired power plants in the United States," Journal of Regulatory Economics, Springer, vol. 51(1), pages 18-40, February.
    8. Halkos, George & Polemis, Michael, 2016. "Examining the impact of financial development on the environmental Kuznets curve hypothesis," MPRA Paper 75368, University Library of Munich, Germany.
    9. Xiaoyang Li & Yue Maggie Zhou, 2016. "Offshoring Pollution While Offshoring Production," Working Papers 16-09r, Center for Economic Studies, U.S. Census Bureau.
    10. Xiang Bi & Madhu Khanna, 2017. "Inducing pollution prevention adoption: effectiveness of the 33/50 voluntary environmental program," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 60(12), pages 2234-2254, December.
    11. Sangyoul Lee & Xiang Bi, 2019. "Can adoption of pollution prevention techniques reduce pollution substitution?," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-18, November.
    12. Earnhart, Dietrich & Harrington, Donna Ramirez, 2014. "Effect of audits on the extent of compliance with wastewater discharge limits," Journal of Environmental Economics and Management, Elsevier, vol. 68(2), pages 243-261.
    13. George E. Halkos & Michael L. Polemis, 2019. "The impact of market structure on environmental efficiency in the United States: A quantile approach," Business Strategy and the Environment, Wiley Blackwell, vol. 28(1), pages 127-142, January.
    14. Xiaoyang Li & Yue M. Zhou, 2017. "Offshoring Pollution while Offshoring Production?," Strategic Management Journal, Wiley Blackwell, vol. 38(11), pages 2310-2329, November.
    15. George E. Halkos & Michael L. Polemis, 2017. "Does Financial Development Affect Environmental Degradation? Evidence from the OECD Countries," Business Strategy and the Environment, Wiley Blackwell, vol. 26(8), pages 1162-1180, December.

    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. Kneller, Richard & Manderson, Edward, 2012. "Environmental regulations and innovation activity in UK manufacturing industries," Resource and Energy Economics, Elsevier, vol. 34(2), pages 211-235.
    2. Carrión-Flores, Carmen E. & Innes, Robert, 2010. "Environmental innovation and environmental performance," Journal of Environmental Economics and Management, Elsevier, vol. 59(1), pages 27-42, January.
    3. Erik Hille & Patrick Möbius, 2019. "Environmental Policy, Innovation, and Productivity Growth: Controlling the Effects of Regulation and Endogeneity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1315-1355, August.
    4. José María ARRANZ & Carlos GARCÍA SERRANO & Virginia HERNANZ, 2013. "Active labour market policies in Spain: A macroeconomic evaluation," International Labour Review, International Labour Organization, vol. 152(2), pages 327-348, June.
    5. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
    6. Medina-Durango, Carlos Alberto & Posso Suárez, Christian Manuel & Tamayo, Jorge A. & Monsalve, Emma, 2012. "Dinámica de la demanda laboral en la industria manufacturera colombiana 1993-2009 : una estimación panel VAR," Chapters, in: Arango-Thomas, Luis Eduardo & Hamann-Salcedo, Franz Alonso (ed.), El mercado de trabajo en Colombia : hechos, tendencias e instituciones, chapter 7, pages 289-330, Banco de la Republica de Colombia.
    7. Miguel Portela & Rob Alessie & Coen Teulings, 2010. "Measurement Error in Education and Growth Regressions," Scandinavian Journal of Economics, Wiley Blackwell, vol. 112(3), pages 618-639, September.
    8. Sebastian Kripfganz & Claudia Schwarz, 2019. "Estimation of linear dynamic panel data models with time‐invariant regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(4), pages 526-546, June.
    9. Badi H. Baltagi, 2021. "Dynamic Panel Data Models," Springer Texts in Business and Economics, in: Econometric Analysis of Panel Data, edition 6, chapter 0, pages 187-228, Springer.
    10. Goran Petrevski & Jane Bogoev & Bruno Sergi, 2012. "The link between central bank independence and inflation in Central and Eastern Europe: are the results sensitive to endogeneity issue omitted dynamics and subjectivity bias?," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 34(4), pages 611-652.
    11. Timo MITZE & Björn ALECKE & Gerhard UNTIEDT, 2008. "Determinants of Interregional Migration Among German States and its Implications for Reducing East-West Disparities: Results from a Panel VAR Using Efficient GMM Estimation," EcoMod2008 23800089, EcoMod.
    12. Selçuk Çağrı ESENER & Evren İPEK, 2018. "The Impacts of Public Expenditure, Government Stability and Corruption on Per Capita Growth: An Empirical Investigation on Developing Countries," Sosyoekonomi Journal, Sosyoekonomi Society, issue 26(36).
    13. Lingfu Kong & Emrah Sofuoğlu & Balogun Daud Ishola & Shujaat Abbas & Qingran Guo & Khurshid Khudoykulov, 2024. "Sustainable development through structural transformation: a pathway to economic, social, and environmental progress," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-34, April.
    14. Ilse Ruyssen & Gerdie Everaert & Glenn Rayp, 2014. "Determinants and dynamics of migration to OECD countries in a three-dimensional panel framework," Empirical Economics, Springer, vol. 46(1), pages 175-197, February.
    15. de Mendonça, Helder Ferreira & Barcelos, Vívian Íris, 2015. "Securitization and credit risk: Empirical evidence from an emerging economy," The North American Journal of Economics and Finance, Elsevier, vol. 32(C), pages 12-28.
    16. Okui, Ryo, 2009. "The optimal choice of moments in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 151(1), pages 1-16, July.
    17. Keith Brouhle & Brad Graham & Donna Ramirez Harrington, 2023. "Patents and P2: Innovation and Technology Adoption for Environmental Improvements," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(2), pages 439-474, February.
    18. Barbara ERMINI, 2008. "Oltre Gibrat. Capitale umano dei fondatori, endogeneita' del finanziamento pubblico e crescita delle giovani imprese hi-tech italiane," Working Papers 322, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    19. Huang, Yongfu, 2010. "Political Institutions and Financial Development: An Empirical Study," World Development, Elsevier, vol. 38(12), pages 1667-1677, December.
    20. Tomaso Duso & Lars-Hendrik Röller & Jo Seldeslachts, 2014. "Collusion Through Joint R&D: An Empirical Assessment," The Review of Economics and Statistics, MIT Press, vol. 96(2), pages 349-370, May.

    More about this item

    JEL classification:

    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

    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:uwp:landec:v:90:y:2014:ii:1:p:199-221. 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: the person in charge (email available below). General contact details of provider: http://le.uwpress.org/ .

    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.