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The impact of environmental policy stringency on industrial productivity growth: A semi-parametric study of OECD countries

Author

Listed:
  • Guohua Feng

    (Department of Economics, University of North Texas)

  • Keith R. McLaren

    (Department of Econometrics and Business Statistics, Monash University)

  • Ou Yang

    (Melbourne Institute: Applied Economic & Social Research, The University of Melbourne)

  • Xiaohui Zhang

    (Business School, University of Exeter)

  • Xueyan Zhao

    (Department of Econometrics and Business Statistics, Monash University)

Abstract

This paper employs a semi-parametric varying coefficient system approach to investigating the impact of environmental policy stringency on a nation's productivity growth using data for a panel of OECD countries over a period of two decades. A new cross-country proxy of environmental policy stringency is employed. Our results show that while stricter environmental policies might shift a country's total cost in production upward, for countries which have already adopted relatively more stringent environmental policies, further increasing their policy stringency seems to enhance these countries' productivity in the long run. We also find that more stringent environmental policies seem to render a country's use of intermediate inputs more inelastic to their own prices and decrease the substitutability between labour and intermediate inputs in the long run. We argue that more stringent environmental policies would exert tighter control over the use of several intermediate inputs such as energy, raw materials, pollution-intensive services etc, leading to the use of these inputs being less sensitive to changes in their market prices. Tighter control over the use of these intermediate inputs would also render them less of a substitute to labour input.

Suggested Citation

  • Guohua Feng & Keith R. McLaren & Ou Yang & Xiaohui Zhang & Xueyan Zhao, 2019. "The impact of environmental policy stringency on industrial productivity growth: A semi-parametric study of OECD countries," Melbourne Institute Working Paper Series wp2019n16, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  • Handle: RePEc:iae:iaewps:wp2019n16
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    References listed on IDEAS

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    1. Alain de Serres & Fabrice Murtin & Giuseppe Nicoletti, 2010. "A Framework for Assessing Green Growth Policies," OECD Economics Department Working Papers 774, OECD Publishing.
    2. Melvyn A. Fuss, 1994. "Productivity Growth in Canadian Telecommunications," Canadian Journal of Economics, Canadian Economics Association, vol. 27(2), pages 371-392, May.
    3. van Soest, Daan P. & List, John A. & Jeppesen, Tim, 2006. "Shadow prices, environmental stringency, and international competitiveness," European Economic Review, Elsevier, vol. 50(5), pages 1151-1167, July.
    4. Gao, Jiti, 2007. "Nonlinear time series: semiparametric and nonparametric methods," MPRA Paper 39563, University Library of Munich, Germany, revised 01 Sep 2007.
    5. QI Li & Desheng Ouyang & Jeffrey S. Racine, 2013. "Categorical semiparametric varying‐coefficient models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(4), pages 551-579, June.
    6. Oral, Muhittin & Cinar, Unver & Chabchoub, Habib, 1999. "Linking industrial competitiveness and productivity at the firm level," European Journal of Operational Research, Elsevier, vol. 118(2), pages 271-277, October.
    7. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    8. Renaud Bourlès & Gilbert Cette & Jimmy Lopez & Jacques Mairesse & Giuseppe Nicoletti, 2013. "Do Product Market Regulations In Upstream Sectors Curb Productivity Growth? Panel Data Evidence For OECD Countries," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1750-1768, December.
    9. Robert Repetto, 1990. "Environmental Productivity and Why It Is so Important," Challenge, Taylor & Francis Journals, vol. 33(5), pages 33-38, September.
    10. Li, Qi & Racine, Jeffrey S., 2010. "Smooth Varying-Coefficient Estimation And Inference For Qualitative And Quantitative Data," Econometric Theory, Cambridge University Press, vol. 26(6), pages 1607-1637, December.
    11. Silvia Albrizio & Tomasz Koźluk & Vera Zipperer, 2014. "Empirical Evidence on the Effects of Environmental Policy Stringency on Productivity Growth," OECD Economics Department Working Papers 1179, OECD Publishing.
    12. Albrizio, Silvia & Kozluk, Tomasz & Zipperer, Vera, 2017. "Environmental policies and productivity growth: Evidence across industries and firms," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 209-226.
    13. Karydas, Christos & Zhang, Lin, 2019. "Green tax reform, endogenous innovation and the growth dividend," Journal of Environmental Economics and Management, Elsevier, vol. 97(C), pages 158-181.
    14. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    15. Feng, Guohua & Gao, Jiti & Peng, Bin & Zhang, Xiaohui, 2017. "A varying-coefficient panel data model with fixed effects: Theory and an application to US commercial banks," Journal of Econometrics, Elsevier, vol. 196(1), pages 68-82.
    16. Mary O'Mahony & Marcel P. Timmer, 2009. "Output, Input and Productivity Measures at the Industry Level: The EU KLEMS Database," Economic Journal, Royal Economic Society, vol. 119(538), pages 374-403, June.
    17. Li, Qi & Racine, Jeff, 2003. "Nonparametric estimation of distributions with categorical and continuous data," Journal of Multivariate Analysis, Elsevier, vol. 86(2), pages 266-292, August.
    18. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, July.
    19. Yatchew,Adonis, 2003. "Semiparametric Regression for the Applied Econometrician," Cambridge Books, Cambridge University Press, number 9780521012263.
    20. Baltagi, Badi H & Griffin, James M, 1988. "A General Index of Technical Change," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 20-41, February.
    21. Michael E. Porter & Claas van der Linde, 1995. "Toward a New Conception of the Environment-Competitiveness Relationship," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 97-118, Fall.
    22. Keith R. McLaren & Xueyan Zhao, 2009. "The Econometric Specification of Input Demand Systems Implied by Cost Function Representations," Monash Econometrics and Business Statistics Working Papers 3/09, Monash University, Department of Econometrics and Business Statistics.
    23. Enrico Botta & Tomasz Koźluk, 2014. "Measuring Environmental Policy Stringency in OECD Countries: A Composite Index Approach," OECD Economics Department Working Papers 1177, OECD Publishing.
    24. Solow, Robert, 1993. "An almost practical step toward sustainability," Resources Policy, Elsevier, vol. 19(3), pages 162-172, September.
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    Cited by:

    1. Xu Guo & Lin Fu & Xiaohua Sun, 2021. "Can Environmental Regulations Promote Greenhouse Gas Abatement in OECD Countries? Command-and-Control vs. Market-Based Policies," Sustainability, MDPI, vol. 13(12), pages 1-18, June.
    2. Francisco Serranito & Donatella Gatti & Gaye-Del Lo, 2023. "Unpacking the green box: Determinants of Environmental Policy Stringency in European countries," Working Papers hal-04202808, HAL.
    3. Cui, Lixin & Dong, Ruxue & Mu, Yunguo & Shen, Zhiyang & Xu, Jiatong, 2022. "How policy preferences affect the carbon shadow price in the OECD," Applied Energy, Elsevier, vol. 311(C).
    4. Xin Qi, 2023. "How does ocean policy affect the economic development of coastal areas?," SN Business & Economics, Springer, vol. 3(9), pages 1-25, September.
    5. Zhu, Chen & Lee, Chien-Chiang, 2022. "The effects of low-carbon pilot policy on technological innovation: Evidence from prefecture-level data in China," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    6. Yan, Zheming & Zhou, Zicheng & Du, Kerui, 2023. "How does environmental regulatory stringency affect energy consumption? Evidence from Chinese firms," Energy Economics, Elsevier, vol. 118(C).
    7. Masayuki Morikawa, 2023. "Compliance costs and productivity: an approach from working hours," Journal of Regulatory Economics, Springer, vol. 63(3), pages 117-137, June.
    8. Shen, Zhiyang & Zhao, Yuntian & Guneri, Fatma & Yang, Yiping & Wang, Songkai & Deng, Haiyan, 2023. "Does the rise of China promote the sustainable development of OECD countries? A geopolitical perspective," Resources Policy, Elsevier, vol. 85(PB).

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    More about this item

    Keywords

    environmental policy stringency; productivity growth; semi-parametric varying coefficient system; OECD countries;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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