IDEAS home Printed from https://ideas.repec.org/a/eee/jomega/v100y2021ics0305048319311818.html
   My bibliography  Save this article

Intensity of environmental regulation and environmentally biased technology in the employment market

Author

Listed:
  • Song, Malin
  • Xie, Qianjiao
  • Wang, Shuhong
  • Zhou, Li

Abstract

Due to the lack of an appropriate method to measure biased technological progress, the theory of how environmental regulations affect employment demand through biased technological progress in Porter's hypothesis has not been effectively verified. To fill this gap, this study extends Acemoglu's (2012) biased technological progress theory, and reasonably measures environmentally biased technological progress using data envelopment analysis. The effect of environmental regulation on labor supply and demand is analyzed through environmentally biased technological progress. The results show that progress in environmentally biased technology can promote the supply and demand of regional labor force. However, if the development of energy saving and emission reduction technology is inconsistent with economic growth, then progress in environmentally biased technology has a negative impact on the demand for regional labor. Environmental regulation has a significant negative impact on labor demand, but its self-adjusting mechanism reignites labor demand.

Suggested Citation

  • Song, Malin & Xie, Qianjiao & Wang, Shuhong & Zhou, Li, 2021. "Intensity of environmental regulation and environmentally biased technology in the employment market," Omega, Elsevier, vol. 100(C).
  • Handle: RePEc:eee:jomega:v:100:y:2021:i:c:s0305048319311818
    DOI: 10.1016/j.omega.2020.102201
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0305048319311818
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.omega.2020.102201?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Tone, Kaoru & Sahoo, Biresh K., 2003. "Scale, indivisibilities and production function in data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 84(2), pages 165-192, May.
    2. Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2016. "Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings," Omega, Elsevier, vol. 63(C), pages 48-59.
    3. Daron Acemoglu & Philippe Aghion & Leonardo Bursztyn & David Hemous, 2012. "The Environment and Directed Technical Change," American Economic Review, American Economic Association, vol. 102(1), pages 131-166, February.
    4. Shadbegian, Ronald J. & Gray, Wayne B., 2005. "Pollution abatement expenditures and plant-level productivity: A production function approach," Ecological Economics, Elsevier, vol. 54(2-3), pages 196-208, August.
    5. Ramanathan, Ramakrishnan & Ramanathan, Usha & Bentley, Yongmei, 2018. "The debate on flexibility of environmental regulations, innovation capabilities and financial performance – A novel use of DEA," Omega, Elsevier, vol. 75(C), pages 131-138.
    6. Hong, Zhaofu & Guo, Xiaolong, 2019. "Green product supply chain contracts considering environmental responsibilities," Omega, Elsevier, vol. 83(C), pages 155-166.
    7. W. Reed Walker, 2011. "Environmental Regulation and Labor Reallocation: Evidence from the Clean Air Act," American Economic Review, American Economic Association, vol. 101(3), pages 442-447, May.
    8. Daron Acemoglu, 2002. "Directed Technical Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(4), pages 781-809.
    9. W. Reed Walker, 2013. "The Transitional Costs of Sectoral Reallocation: Evidence From the Clean Air Act and the Workforce," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(4), pages 1787-1835.
    10. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    11. Wang, Shu-Hong & Song, Ma-Lin, 2014. "Review of hidden carbon emissions, trade, and labor income share in China, 2001–2011," Energy Policy, Elsevier, vol. 74(C), pages 395-405.
    12. Jerry Goodstein & Kanak Gautam & Warren Boeker, 1994. "The effects of board size and diversity on strategic change," Strategic Management Journal, Wiley Blackwell, vol. 15(3), pages 241-250, March.
    13. Fukuyama, Hirofumi & Weber, William L., 2009. "A directional slacks-based measure of technical inefficiency," Socio-Economic Planning Sciences, Elsevier, vol. 43(4), pages 274-287, December.
    14. Alexander Hijzen & Holger Görg & Robert C. Hine, 2005. "International Outsourcing and the Skill Structure of Labour Demand in the United Kingdom," Economic Journal, Royal Economic Society, vol. 115(506), pages 860-878, October.
    15. Daron Acemoglu, 2003. "Labor- And Capital-Augmenting Technical Change," Journal of the European Economic Association, MIT Press, vol. 1(1), pages 1-37, March.
    16. Sen, Anindita & Acharyya, Rajat, 2012. "Environmental standard and employment: impact of productivity effect," Environment and Development Economics, Cambridge University Press, vol. 17(2), pages 207-225, April.
    17. Wu, Huaqing & Lv, Kui & Liang, Liang & Hu, Hanhui, 2017. "Measuring performance of sustainable manufacturing with recyclable wastes: A case from China’s iron and steel industry," Omega, Elsevier, vol. 66(PA), pages 38-47.
    18. Kenji Kondoh & Shigemi Yabuuchi, 2012. "Unemployment, environmental policy, and international migration," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 21(5), pages 677-690, October.
    19. João J. Ferreira & Cristina I. Fernandes & Vanessa Ratten, 2017. "Entrepreneurship, innovation and competitiveness: what is the connection?," International Journal of Business and Globalisation, Inderscience Enterprises Ltd, vol. 18(1), pages 73-95.
    20. Chen, Zhao & Kahn, Matthew E. & Liu, Yu & Wang, Zhi, 2018. "The consequences of spatially differentiated water pollution regulation in China," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 468-485.
    21. Liu, Mengdi & Shadbegian, Ronald & Zhang, Bing, 2017. "Does environmental regulation affect labor demand in China? Evidence from the textile printing and dyeing industry," Journal of Environmental Economics and Management, Elsevier, vol. 86(C), pages 277-294.
    22. Daron Acemoglu, 2007. "Equilibrium Bias of Technology," Econometrica, Econometric Society, vol. 75(5), pages 1371-1409, September.
    23. Michael Greenstone, 2002. "The Impacts of Environmental Regulations on Industrial Activity: Evidence from the 1970 and 1977 Clean Air Act Amendments and the Census of Manufactures," Journal of Political Economy, University of Chicago Press, vol. 110(6), pages 1175-1219, December.
    24. van der Werf, Edwin, 2008. "Production functions for climate policy modeling: An empirical analysis," Energy Economics, Elsevier, vol. 30(6), pages 2964-2979, November.
    25. Song, Malin & Wang, Shuhong, 2016. "Can employment structure promote environment-biased technical progress?," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 285-292.
    26. Chambers, Robert G. & Fare, Rolf & Grosskopf, Shawna, 1996. "Productivity Growth in APEC Countries," Working Papers 197843, University of Maryland, Department of Agricultural and Resource Economics.
    27. Zhuang Miao & Tomas Baležentis & Zhihua Tian & Shuai Shao & Yong Geng & Rui Wu, 2019. "Environmental Performance and Regulation Effect of China’s Atmospheric Pollutant Emissions: Evidence from “Three Regions and Ten Urban Agglomerations”," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(1), pages 211-242, September.
    28. Li, Zongmin & Zhang, Qi & Liao, Huchang, 2019. "Efficient-equitable-ecological evaluation of regional water resource coordination considering both visible and virtual water," Omega, Elsevier, vol. 83(C), pages 223-235.
    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. Du, Juntao & Shen, Zhiyang & Song, Malin & Vardanyan, Michael, 2023. "The role of green financing in facilitating renewable energy transition in China: Perspectives from energy governance, environmental regulation, and market reforms," Energy Economics, Elsevier, vol. 120(C).
    2. Jin, Peizhen & Wang, Siyu & Yin, Desheng & Zhang, Hang, 2023. "Environmental institutional supply that shapes a green economy: Evidence from Chinese cities," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    3. Xu, Yong & Li, Shanshan & Zhou, Xiaoxiao & Shahzad, Umer & Zhao, Xin, 2022. "How environmental regulations affect the development of green finance: Recent evidence from polluting firms in China," Renewable Energy, Elsevier, vol. 189(C), pages 917-926.
    4. Zhaoqing Sun & Jianxu Liu & Roengchai Tansuchat, 2023. "China’s Digital Economy and Enterprise Labor Demand: The Mediating Effects of Green Technology Innovation," Sustainability, MDPI, vol. 15(15), pages 1-24, July.
    5. Volkov, Artiom & Morkunas, Mangirdas & Balezentis, Tomas & Streimikiene, Dalia, 2022. "Are agricultural sustainability and resilience complementary notions? Evidence from the North European agriculture," Land Use Policy, Elsevier, vol. 112(C).
    6. Chao Wu & Yu Hua, 2023. "Does Environmental Regulation Have an Employment Dividend? Evidence from China," Sustainability, MDPI, vol. 15(7), pages 1-20, April.
    7. Dianshuang Wang & Hongyun Huang & Xin Zhao & Fang Fang, 2023. "Green technological progress, agricultural modernization, and wage inequality: Lessons from China," Review of Development Economics, Wiley Blackwell, vol. 27(3), pages 1673-1698, August.
    8. Li, Kai & Yan, Yaxue & Zhang, Xiaoling, 2021. "Carbon-abatement policies, investment preferences, and directed technological change: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    9. Wu, Xianhua & Deng, Huai & Li, Hua & Guo, Yiming, 2021. "Impact of Energy Structure Adjustment and Environmental Regulation on Air Pollution in China: Simulation and Measurement Research by the Dynamic General Equilibrium Model," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    10. Xi Chen & Zhigang Chen, 2021. "Can China’s Environmental Regulations Effectively Reduce Pollution Emissions?," IJERPH, MDPI, vol. 18(9), pages 1-17, April.
    11. Xiu Cheng & Ruyin Long & Fan Wu, 2022. "How Symbols and Social Interaction Influence the Experienced Utility of Sustainable Lifestyle Guiding Policies: Evidence from Eastern China," IJERPH, MDPI, vol. 19(7), pages 1-22, April.
    12. Su, Chi-Wei & Yuan, Xi & Umar, Muhammad & Lobonţ, Oana-Ramona, 2022. "Does technological innovation bring destruction or creation to the labor market?," Technology in Society, Elsevier, vol. 68(C).
    13. Fukuyama, Hirofumi & Song, Yao-yao & Ren, Xian-tong & Yang, Guo-liang, 2022. "Using a novel DEA-based model to investigate capacity utilization of Chinese firms," Omega, Elsevier, vol. 106(C).
    14. Wenwen Wang & Linzhao Xue & Ming Zhang, 2023. "Research on environmental regulation behavior among local government, enterprises, and consumers from the perspective of dynamic cost of enterprises," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(1), pages 917-937, January.
    15. Xiu Cheng & Jiameng Yang & Yumei Jiang & Wenbin Liu & Yang Zhang, 2022. "Determinants of Proactive Low-Carbon Consumption Behaviors: Insights from Urban Residents in Eastern China," IJERPH, MDPI, vol. 19(10), pages 1-15, May.
    16. Zhang, Linling & Yuan, Jinjian & Gao, Xinyu & Jiang, Dawei, 2021. "Public transportation development decision-making under public participation: A large-scale group decision-making method based on fuzzy preference relations," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    17. Yuxuan Xu & Jie Lyu & Ying Xue & Hongbin Liu, 2022. "Does the Agricultural Productive Service Embedded Affect Farmers’ Family Economic Welfare Enhancement? An Empirical Analysis in Black Soil Region in China," Agriculture, MDPI, vol. 12(11), pages 1-22, November.
    18. Shuhong Wang & Xiaojing Yi, 2023. "Can the Financial Industry ‘Anchor’ Carbon Emission Reductions?— The Mediating and Moderating Effects of the Technology Market," Energy & Environment, , vol. 34(3), pages 533-559, May.

    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. Xiaoxiao Zhou & Ming Xia & Teng Zhang & Juntao Du, 2020. "Energy- and Environment-Biased Technological Progress Induced by Different Types of Environmental Regulations in China," Sustainability, MDPI, vol. 12(18), pages 1-26, September.
    2. Song, Malin & Wang, Shuhong, 2016. "Can employment structure promote environment-biased technical progress?," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 285-292.
    3. Liu, Mengdi & Tan, Ruipeng & Zhang, Bing, 2021. "The costs of “blue sky”: Environmental regulation, technology upgrading, and labor demand in China," Journal of Development Economics, Elsevier, vol. 150(C).
    4. Zhu, Xuehong & Zeng, Anqi & Zhong, Meirui & Huang, Jianbai, 2021. "Elasticity of substitution and biased technical change in the CES production function for China's metal-intensive industries," Resources Policy, Elsevier, vol. 73(C).
    5. Zhang, Bing & Liu, Mengdi, 2024. "The Costs of ”Blue Sky”: Environmental Regulation, Technology Upgrading, and Labor Demand in China," EfD Discussion Paper 24-4, Environment for Development, University of Gothenburg.
    6. Casey, Gregory, "undated". "Energy Efficiency and Directed Technical Change: Implications for Climate Change Mitigation," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259959, Agricultural and Applied Economics Association.
    7. Mao, Jie & Wang, Chunhua & Yin, Haitao, 2023. "Corporate responses to air quality regulation: Evidence from a regional environmental policy in China," Regional Science and Urban Economics, Elsevier, vol. 98(C).
    8. Li, Zhen & Wu, Baijun & Wang, Danyang & Tang, Maogang, 2022. "Government mandatory energy-biased technological progress and enterprises' environmental performance: Evidence from a quasi-natural experiment of cleaner production standards in China," Energy Policy, Elsevier, vol. 162(C).
    9. Guan, Jin & He, Dongwei & Zhu, Qigui, 2022. "More incentive, less pollution: The influence of official appraisal system reform on environmental enforcement," Resource and Energy Economics, Elsevier, vol. 67(C).
    10. Liu, Shaohui & Liu, Chuanjiang & Yang, Mian, 2022. "Greening of Chinese industrial sector: Stakeholders' responsiveness to non-governmental environmental monitoring," China Economic Review, Elsevier, vol. 72(C).
    11. Jiyu Zhao & Ning Zhang, 2023. "Environmental regulation and labor market: a bibliometric analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6095-6116, July.
    12. Zha, Donglan & Kavuri, Anil Savio & Si, Songjian, 2018. "Energy-biased technical change in the Chinese industrial sector with CES production functions," Energy, Elsevier, vol. 148(C), pages 896-903.
    13. Hui Zhang & Haiqian Ke, 2022. "Spatial Spillover Effects of Directed Technical Change on Urban Carbon Intensity, Based on 283 Cities in China from 2008 to 2019," IJERPH, MDPI, vol. 19(3), pages 1-19, February.
    14. Marin, Giovanni & Vona, Francesco, 2021. "The impact of energy prices on socioeconomic and environmental performance: Evidence from French manufacturing establishments, 1997–2015," European Economic Review, Elsevier, vol. 135(C).
    15. Olivier Deschenes, 2018. "Environmental regulations and labor markets," IZA World of Labor, Institute of Labor Economics (IZA), pages 1-22, November.
    16. repec:hal:spmain:info:hdl:2441/1jrfjrj6fp8t6q12fv5lra520c is not listed on IDEAS
    17. Jiangfeng Hu & Zhao Wang & Yuehan Lian & Qinghua Huang, 2018. "Environmental Regulation, Foreign Direct Investment and Green Technological Progress—Evidence from Chinese Manufacturing Industries," IJERPH, MDPI, vol. 15(2), pages 1-14, January.
    18. Mengdi Liu & Bing Zhang & Qiang Geng, 2018. "Corporate pollution control strategies and labor demand: evidence from China’s manufacturing sector," Journal of Regulatory Economics, Springer, vol. 53(3), pages 298-326, June.
    19. Cui, Guanghui & Zhang, Yi & Ma, Jingwen & Yao, Wenyun, 2023. "Does environmental regulation affect the labor income share of manufacturing enterprises? Evidence from China," Economic Modelling, Elsevier, vol. 123(C).
    20. Yusen Gao & Changsheng Hu & Yue Yang, 2022. "Will tougher environmental policy reduce the employment of industrial enterprises? The heterogeneity analysis based on enterprise level and city level," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 1810-1834, September.
    21. Song, Ma-Lin & Cao, Shao-Peng & Wang, Shu-Hong, 2019. "The impact of knowledge trade on sustainable development and environment-biased technical progress," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 512-523.

    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:eee:jomega:v:100:y:2021:i:c:s0305048319311818. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/375/description#description .

    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.