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Does Competition Prevent Industrial Pollution? Evidence from a Panel Threshold Model

Author

Listed:
  • Michael L. Polemis

    (Department of Economics, University of Piraeus, Greece)

  • Thanasis Stengos

    (Department of Economics, University of Guelph, Canada; The Rimini Centre for Economic Analysis, Italy)

Abstract
The scope of this paper is to assess the impact of competition on industrial toxic pollution by using for the first time, a panel threshold model which allows evaluating the main drivers of toxic releases under two different market regimes. The empirical analysis is based on a unique micro level panel data set including thousands of industrial facilities dispersed among the US states over the period 1987-2012. We show that this relationship is statistically significant above and below the threshold, even after accounting for alternative specifications of market concentration. Finally, contrary to previous studies, we unmask a robust inverted "V-shaped" relationship between market concentration and industrial pollution, which calls for further future research on the implementation of policies targeted at the abatement of environmental degradation.

Suggested Citation

  • Michael L. Polemis & Thanasis Stengos, 2017. "Does Competition Prevent Industrial Pollution? Evidence from a Panel Threshold Model," Working Paper series 17-07, Rimini Centre for Economic Analysis.
    • Handle: RePEc:rim:rimwps:17-07
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    Cited by:

    1. Michael L. Polemis, 2018. "Revisiting the Environmental Kuznets Curve: a semi-parametric analysis on the role of market structure on environmental pollution," Letters in Spatial and Resource Sciences, Springer, vol. 11(1), pages 27-35, March.
    2. Michael L. Polemis, 2020. "A note on the estimation of competition-productivity nexus: a panel quantile approach," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(4), pages 663-676, December.
    3. Chen, Chaoyi & Polemis, Michael & Stengos, Thanasis, 2018. "On the examination of non-linear relationship between market structure and performance in the US manufacturing industry," Economics Letters, Elsevier, vol. 164(C), pages 1-4.
    4. Ostadzad, Ali Hossein, 2022. "Innovation and carbon emissions: Fixed-effects panel threshold model estimation for renewable energy," Renewable Energy, Elsevier, vol. 198(C), pages 602-617.
    5. Qi, Yu & Shao, Shuai & Tian, Zhihua & Xu, Yang & Yin, Jun, 2022. "Environmental consequences of fair competition: Evidence from China's corporate income tax merger policy," Ecological Economics, Elsevier, vol. 195(C).
    6. Baah Aye Kusi & Lydia Adzobu & Alex Kwame Abasi & Kwadjo Ansah-Adu, 2020. "Sectoral Loan Portfolio Concentration and Bank Stability: Evidence from an Emerging Economy," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 19(1), pages 66-99, April.
    7. Renjie Yu & Peng Yuan & Fandi Yang & Gongxiong Jiang, 2023. "Effects of Vertical Unbundling on the Operational and Environmental Efficiency of Chinese Thermal Power Firms," Energies, MDPI, vol. 16(21), pages 1-22, October.
    8. Weidong Sun & Zhigang Chen & Danyang Wang, 2019. "Can Land Marketization Help Reduce Industrial Pollution?," IJERPH, MDPI, vol. 16(12), pages 1-16, June.
    9. 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.
    10. Thanasis Stengos & Michael L. Polemis, 2020. "Threshold effects during the COVID-19 pandemic: Evidence from international tourist destinations," Working Papers 2005, University of Guelph, Department of Economics and Finance.
    11. Jianing Xu & Weidong Li, 2022. "The Impact of the Digital Economy on Innovation: New Evidence from Panel Threshold Model," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
    12. Alexandros Botsis & Christoph Görtz & Plutarchos Sakellaris, 2020. "Quantifying Qualitative Survey Data: New Insights on the (Ir)Rationality of Firms' Forecasts," CESifo Working Paper Series 8148, CESifo.
    13. Chen, Chaoyi & Polemis, Michael & Stengos, Thanasis, 2019. "Can exchange rate pass-through explain the asymmetric gasoline puzzle? Evidence from a pooled panel threshold analysis of the EU," Energy Economics, Elsevier, vol. 81(C), pages 1-12.
    14. Giuseppe Pagano Giorgianni & Valeria Patella, 2024. "Belief distortions and Disagreement about Inflation," Working Paper series 24-08, Rimini Centre for Economic Analysis.
    15. Michael L. Polemis & Thanasis Stengos & Nickolaos G. Tzeremes, 2020. "Modeling the effect of competition on US manufacturing sectors’ efficiency: an order-m frontier analysis," Journal of Productivity Analysis, Springer, vol. 54(1), pages 27-41, August.
    16. Kogan, Konstantin & Chernonog, Tatyana, 2019. "Competition under industry-stock-driven prevailing market price: Environmental consequences and the effect of uncertainty," European Journal of Operational Research, Elsevier, vol. 276(3), pages 929-946.
    17. Jay N. Meegoda & Daniel Watts & Hsin-Neng Hsieh & Bruno Bezerra de Souza, 2021. "Community Based Pollution Prevention for Two Urban Cities—A Case Study," Clean Technol., MDPI, vol. 3(1), pages 1-20, January.
    18. Zhou, Taiyun & Gan, Jiawu, 2022. "Institutional investors' site visits and corporate social responsibility: Evidence from China," Economic Modelling, Elsevier, vol. 115(C).
    19. Woon Leong Lin & Siong Hook Law & W. N. W. Azman‐Saini, 2020. "Market differentiation threshold and the relationship between corporate social responsibility and corporate financial performance," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(3), pages 1279-1293, May.
    20. Chen, Chaoyi & Polemis, Michael & Stengos, Thanasis, 2018. "On the Examination of Competition in the Petroleum Industry: A Pooled Panel Threshold Analysis," MPRA Paper 89671, University Library of Munich, Germany.
    21. Byungjun Yu & Saixing Zeng & Hongquan Chen & Xiaohua Meng & Chiming Tam, 2021. "Doing more and doing better are two different entities: Different patterns of family control and environmental performance," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 1-20, January.
    22. 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.
    23. Xiangyu Chen & Peng Wan, 2020. "Social trust and corporate social responsibility: Evidence from China," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(2), pages 485-500, March.
    24. Polemis, Michael L. & Tzeremes, Nickolaos G., 2019. "Competitive conditions and sectors’ productive efficiency: A conditional non-parametric frontier analysis," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1104-1118.
    25. Mudeer Ahmed Khattak & Buerhan Saiti, 2021. "Banks' environmental policy and business outcomes: The role of competition," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 302-317, January.

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    More about this item

    Keywords

    Competition; Concentration; Threshold; Non-linearities; Inverted V-shaped;
    All these keywords.

    JEL classification:

    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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