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Environmental regulations, enterprise productivity, and green technological progress: large-scale data analysis in China

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Abstract

Environmental regulations can increase enterprise production costs and reduce production efficiency. This study analyzes the annual reports of 132 enterprises in 16 highly polluting industries over 9 years, which includes 52,272 data points comprising 1188 observed values from the 132 enterprises. We find that environmental regulations tend to increase the environment-friendly and non-environment-friendly research and development (R&D) inputs of the enterprises. Irrespective of the type of R&D input, the quality of the enterprise staff improves and their enthusiasm and initiative for work increases, resulting in increased enterprise production efficiency. Additionally, an increase in human capital significantly facilitates the improvement of enterprise staff quality, whereas, an expansion in the size of an enterprise does not tend to improve its productivity owing to decreasing returns to scale. This study further conducts a robustness test that replaces the explanatory variables with total factor productivity and resolves Malmquist efficiency indexes. The result of this robustness test supports the preliminary regression results. The conclusion of this study can help enterprises be competitive in global markets, and the results can serve as advice for the leads of enterprises.

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References

  • Aamir, R. H., & Johannes, V. B. (2010). Market structure and innovation: A dynamic analysis of the global automobile industry. NBER Working Paper No. 15959.

  • Acemoglu, D. (2002). Directed technical change. Review of Economic Studies,69, 781–809.

    Article  Google Scholar 

  • Acemoglu, D., Aghion, P., Bursztyn, L., & Hemous, D. (2012). The environment and directed technical change. American Economic Review, 102(1), 131–166.

    Article  Google Scholar 

  • Acemoglu, D., Gancia, G., & Zilibotti, F. (2015). Offshoring and directed technical change. American Economic Journal - Macroeconomics,7, 84–122.

    Article  Google Scholar 

  • Albrizio, S., Kozluk, T., & Zipperer, V. (2017). Environmental policies and productivity growth: Evidence across industries and firms. Journal of Environmental Economics and Management,81, 209–226.

    Article  Google Scholar 

  • Ambec, S., & Lanoie, P. (2008). Does it pay to be green? A systematic overview. Academy of Management Executive, 22(4), 45–62.

    Google Scholar 

  • Arellano, M., & Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of Econometrics,68, 29–51.

    Article  Google Scholar 

  • Bloom, N., Draca, M., & Van, R. J. (2016). Trade induced technical change? The impact of Chinese imports on innovation, IT and productivity. Review of Economic Studies,83, 87–117.

    Article  Google Scholar 

  • Botta, E., & Koźluk, T. (2014). Measuring environmental policy stringency in OECD countries. OECD Economics Department Working Papers. NO. 1177. OECD Publishing.

  • Cai, H., Chen, Y., & Gong, Q. (2016). Polluting thy neighbor: Unintended consequences of China’s pollution reduction mandates. Journal of Environmental Economics and Management,76, 86–104.

    Article  Google Scholar 

  • Cao, B., & Wang, S. (2017). Opening up, international trade, and green technology progress in China. Journal of Cleaner Production,142, 1002–1012.

    Article  Google Scholar 

  • Chen, Y. Y. (2011). Effect of industrial environmental regulations on employment: Empirical research on 25 industries. Modern Economic Science,33, 67–73. (in Chinese).

    Google Scholar 

  • Chiara, P., & Ferreira, I. S. G. (2011). Competition and innovation in Luxembourg. Journal of Industry Competition and Trade,12, 93–117.

    Google Scholar 

  • Cleff, T., & Rennings, K. (1999). Determinants of environmental product and process innovation. European Environment,9, 191–201.

    Article  Google Scholar 

  • Copeland, B. R., & Taylor, M. S. (2004). Trade, growth, and the environment. American Economic Association, 42(1), 7–71.

    Google Scholar 

  • Danquah, M., & Amankwah-Amoah, J. (2017). Assessing the relationships between human capital, innovation and technology adoption: Evidence from sub-Saharan Africa. Technological Forecasting and Social Change,122, 24–33.

    Article  Google Scholar 

  • Day, C. (2016). Non-scale endogenous growth with R&D and human capital. Scottish Journal of Political Economy,63, 443–467.

    Article  Google Scholar 

  • Dechezleprêtre, A., & Sato, M. (2017). The impacts of environmental regulations on competitiveness. Review of Environmental Economics and Policy,11(2), 183–206.

    Article  Google Scholar 

  • Duvivier, C., & Xiong, H. (2013). Transboundary pollution in China: A study of polluting firms’ location choices in Hebei Province. Environment and Development Economics,18, 459–483.

    Article  Google Scholar 

  • Ghisetti, C., & Pontoni, F. (2015). Investigating policy and R&D effects on environmental innovation: A meta-analysis. Ecological Economics,118, 57–66.

    Article  Google Scholar 

  • Grossman, G. M., & Helpman, E. (1991). Quality ladders in the theory of growth. Review of Economic Studies,58, 43–61.

    Article  Google Scholar 

  • Hamamoto, M. (2006). Environmental regulation and the productivity of Japanese manufacturing industries. Resource and Energy Economics,28, 299–312.

    Article  Google Scholar 

  • Horbach, J. (2008). Determinants of environmental innovation—New evidence from German panel data sources. Research Policy,37, 163–173.

    Article  Google Scholar 

  • Jaffe, A. B., & Palmer, K. (1997). Environmental regulation and innovation: A panel data study. The Review of Economics and Statistics,79(4), 610–619.

    Article  Google Scholar 

  • Kashif, M., & Ayesha, A. (2018). Effect of economic growth, trade openness, urbanization, and technology on environment of Asian emerging economies. Management of Environmental Quality: An International Journal,29(6), 1123–1134.

    Article  Google Scholar 

  • Li, J., Ji, J., & Zhang, Y. (2018). Non-linear effects of environmental regulations on economic outcomes. Management of Environmental Quality An International Journal.,30(2), 368–382.

    Article  Google Scholar 

  • Lim, W., & Yi, C. (2017). Technology innovation, human capital and R&D effects on economic growth. International Area Studies Review,21, 201–219.

    Article  Google Scholar 

  • Marin, G. (2014). Do eco-innovations harm productivity growth through crowding out? Results of an extended CDM model for Italy. Research Policy,43(2), 301–317.

    Article  Google Scholar 

  • Oh, D.-H. (2010). A global Malmquist of efficiency in data envelopment analysis. European Journal of Operation Research,130, 498–509.

    Google Scholar 

  • Oleg, B., & Subal, C. K. (2017). Economies of scale, technical change and persistent and time-varying cost efficiency in Indian banking: Do ownership, regulation and heterogeneity matter? European Journal of Operational Research,260, 789–803.

    Article  Google Scholar 

  • Popp, D. (2012). The role of technological change in green growth. NBER Working Paper, No. 18506.

  • Porter, M. E. (1991). America’s green strategy. Scientific American,264, 168.

    Article  Google Scholar 

  • Porter, M. E., & Van Der Linde, C. (1995). Toward a new conception of the environment-competitiveness relationship. The Journal of Economic Perspectives,9, 97–118.

    Article  Google Scholar 

  • Rennings, K., & Rammer, C. (2009). Increasing energy and resource efficiency through innovation: An explorative analysis using innovation survey data. Czech Journal of Economics and Finance,5, 442–459.

    Google Scholar 

  • Song, M. L., & Wang, S. H. (2017). Participation in global value chain and green technology progress: Evidence from big data of Chinese enterprises. Environmental Science and Pollution Research,24, 1648–1661.

    Article  Google Scholar 

  • Song, M. L., Wang, S. H., Lei, L., & Zhou, L. (2019). Environmental efficiency and policy change in China: A new meta-frontier non-radial angle efficiency evaluation approach. Process Safety and Environmental Protection,121, 281–289.

    Article  Google Scholar 

  • Sunku, H. (2010). Predation, competition, comparison, and innovation. Economics Letters,106, 122–124.

    Article  Google Scholar 

  • Tan, X. M. (2006). Environment, governance and GDP: Discovering their connections. International Journal of Sustainable Development,9, 311–335.

    Article  Google Scholar 

  • Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research,130, 498–509.

    Article  Google Scholar 

  • Wally, N., & White, B. (1994). It’s not easy being green. Harvard Business Review,72, 46–52.

    Google Scholar 

  • Wei, W., Zhao, Y., Wang, J., & Song, M. (2019). The environmental benefits and economic impacts of Fit-in-Tariff in China. Renewable Energy,133, 401–410.

    Article  Google Scholar 

  • Yang, C., Tseng, Y., & Chen, C. (2012). Environmental regulations, induced R&D, and productivity: Evidence from Taiwan’s manufacturing industries. Resource and Energy Economics,9, 514–532.

    Article  Google Scholar 

  • Zhang, S., Hu, T., Li, J., Cheng, C., Song, M., Xu, B., et al. (2019). The effects of energy price, technology, and disaster shocks on China’s Energy-Environment-Economy system. Journal of Cleaner Production,207, 204–213.

    Article  Google Scholar 

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Acknowledgements

The work was supported by the National Natural Science Foundation of China (Grant Nos. 71471001, 41771568, 71533004, 71503001; 71601170); the National Key Research and Development Program of China (Grant No. 2016YFA0602500; 16YJC630123).

Funding

This work was supported by the Major Projects of National Social Science Fund of China (Grant No. 18ZDA126) and the Support Plan for Innovative Talents in Colleges and Universities of Liaoning Province (Grant No. WR2017007), and the National Natural Science Foundation of China (Grant Nos. 71471001 and 71601170).

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Authors and Affiliations

  1. School of Statistics of Dongbei University of Finance and Economics, Dalian, 116025, Liaoning, People’s Republic of China

    Yuhuan Sun & Juntao Du

  2. Institute of Marine Development, Ocean University of China, Qingdao, 266100, People’s Republic of China

    Shuhong Wang

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  1. Yuhuan Sun
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  2. Juntao Du
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  3. Shuhong Wang
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Correspondence to Shuhong Wang.

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Sun, Y., Du, J. & Wang, S. Environmental regulations, enterprise productivity, and green technological progress: large-scale data analysis in China. Ann Oper Res 290, 369–384 (2020). https://doi.org/10.1007/s10479-019-03249-4

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