IDEAS home Printed from https://ideas.repec.org/a/cem/jaecon/v16y2013n2p357-372.html
   My bibliography  Save this article

An empirical analysis of the nonlinear relationship between environmental regulation and manufacturing productivity

Author

Listed:
  • Armando Sanchez-Vargas

    (National Autonomous University of Mexico)

  • Ricardo Mansilla-Sanchez

    (National Autonomous University of Mexico)

  • Alonso Aguilar-Ibarra

    (National Autonomous University of Mexico)

Abstract

The relationship between environmental regulation and productivity has been broadly analyzed. Here, we propose the use of one member of the family of exponential Gumbel distributions in order to study a potential nonlinear relationship between environmental regulation and manufacturing productivity in Mexico using a data set at the plant level. We show that the link between environmental regulation and productivity is in fact nonlinear and that there is a decreasing trade-off between those variables in the manufacturing industry. We find that such trade-off is high for small firms, but almost negligible for large companies. Thus, we argue that much of the debate on different effects is due to the heterogeneity of the industry. This result might be useful for the design of policies devoted to enhancing environmental performance.

Suggested Citation

  • Armando Sanchez-Vargas & Ricardo Mansilla-Sanchez & Alonso Aguilar-Ibarra, 2013. "An empirical analysis of the nonlinear relationship between environmental regulation and manufacturing productivity," Journal of Applied Economics, Universidad del CEMA, vol. 16, pages 357-372, November.
    • Handle: RePEc:cem:jaecon:v:16:y:2013:n:2:p:357-372
    as

    Download full text from publisher

    File URL: https://ucema.edu.ar/publicaciones/download/volume16/sanchez-vargas.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Thanh Tam Nguyen-Huu & Minh Nguyen-Khac & Quoc Tran-Nam, 2017. "The role of environmental regulations and innovation in TFP convergence: Evidence from manufacturing SMEs in Vietnam," WIDER Working Paper Series wp-2017-92, World Institute for Development Economic Research (UNU-WIDER).
    2. Yuxin Fang & Hongjun Cao, 2022. "Environmental Decentralization, Heterogeneous Environmental Regulation, and Green Total Factor Productivity—Evidence from China," Sustainability, MDPI, vol. 14(18), pages 1-20, September.
    3. Ghisetti, Claudia & Quatraro, Francesco, 2014. "Is green Knowledge improving Environmental Productivity? Sectoral Evidence from Italian Regions," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201411, University of Turin.
    4. Zhaohui Chong & Chenglin Qin & Xinyue Ye, 2016. "Environmental Regulation, Economic Network and Sustainable Growth of Urban Agglomerations in China," Sustainability, MDPI, vol. 8(5), pages 1-21, May.
    5. Dechezleprêtre, Antoine & Kozluk, Tomasz & Kruse, Tobias & Nachtigall, Daniel & de Serres, Alain, 2019. "Do Environmental and Economic Performance Go Together? A Review of Micro-level Empirical Evidence from the Past Decade or So," International Review of Environmental and Resource Economics, now publishers, vol. 13(1-2), pages 1-118, April.
    6. Ghisetti, Claudia & Quatraro, Francesco, 2017. "Green Technologies and Environmental Productivity: A Cross-sectoral Analysis of Direct and Indirect Effects in Italian Regions," Ecological Economics, Elsevier, vol. 132(C), pages 1-13.
    7. Siedschlag, Iulia & Meneto, Stefano, 2020. "Green innovations and export performance," Papers WP674, Economic and Social Research Institute (ESRI).
    8. Thanh Tam Nguyen-Huu & Minh Nguyen-Khac & Quoc Tran-Nam, 2017. "The role of environmental regulations and innovation in TFP convergence: Evidence from manufacturing SMEs in Vietnam," WIDER Working Paper Series 092, World Institute for Development Economic Research (UNU-WIDER).
    9. Yutian Dou & Shuai Guan, 2023. "The Regionally Heterogeneous Impact of China’s Environmental Regulation on the Transformation and Upgrading of Its Industrial Structure," Sustainability, MDPI, vol. 15(24), pages 1-19, December.
    10. Mingyue Wang & Yingming Li & Zitong Wang & Junqiang Li, 2022. "The Heterogeneous Relationship between Pollution Charges and Enterprise Green Technology Innovation, Based on the Data of Chinese Industrial Enterprises," Energies, MDPI, vol. 15(5), pages 1-20, February.
    11. Cong Li & Xihua Liu & Xue Bai & Muhammad Umar, 2020. "Financial Development and Environmental Regulations: The Two Pillars of Green Transformation in China," IJERPH, MDPI, vol. 17(24), pages 1-17, December.
    12. Siedschlag, Iulia & Yan, Weijie, 2020. "Green investments and firm performance," Papers WP672, Economic and Social Research Institute (ESRI).
    13. Xinghua Wang & Shunchen Wu & Xiaojuan Qin & Meixiang La & Haixia Zuo, 2022. "Informal Environment Regulation, Green Technology Innovation and Air Pollution: Quasi-Natural Experiments from Prefectural Cities in China," Sustainability, MDPI, vol. 14(10), pages 1-13, May.
    14. Siedschlag, Iulia & Yan, Weijie, 2023. "Do green investments improve firm performance? Empirical evidence from Ireland," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).

    More about this item

    Keywords

    exponential Gumbel distribution; Porter Hypothesis; nonlinear relationships; Mexico’s manufacturing industry; environmental performance;
    All these keywords.

    JEL classification:

    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects

    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:cem:jaecon:v:16:y:2013:n:2:p:357-372. 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.

    We have no bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Valeria Dowding (email available below). General contact details of provider: https://edirc.repec.org/data/cemaaar.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.