IDEAS home Printed from https://ideas.repec.org/a/wly/sustdv/v31y2023i4p2386-2401.html
   My bibliography  Save this article

Sustainable development through green innovation and resource allocation in cities: Evidence from machine learning

Author

Listed:
  • Jun Mao
  • Jiahao Xie
  • Zunguo Hu
  • Lijie Deng
  • Haitao Wu
  • Yu Hao

Abstract

China has promoted innovation‐driven and green development to unprecedented strategic heights. However, compared to the large and rapid innovation investment, total factor productivity's (TFP) growth rate has shown a downward trend. Consequently, this study assesses the inefficiency caused by resource mismatch and discusses the impact of green innovation activities on green total factor productivity (GTFP). We use a causal forest‐based machine learning method to solve the endogenous problem. The empirically analyzes the observation samples of 272 prefecture‐level cities in China from 2008 to 2018 and obtains the asymptotic normality estimation on the average treatment effect (ATE). Simultaneously, clustering causal forest and ridge expressions, discusses the robustness of related problems. According to the results, (1) the effect of China's green innovation on GTFP is negative for a short time and positive for a long time; (2) the impact of green innovation activities on GTFP is subject to capital mismatch, while the statistical law of the impact of labor mismatch is not obvious but the adverse impact of resource mismatch is gradually improving; and (3), Green innovation has significantly improved China's GTFP, but it did not lead to ideal Growth rate of GTC.

Suggested Citation

  • Jun Mao & Jiahao Xie & Zunguo Hu & Lijie Deng & Haitao Wu & Yu Hao, 2023. "Sustainable development through green innovation and resource allocation in cities: Evidence from machine learning," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(4), pages 2386-2401, August.
    • Handle: RePEc:wly:sustdv:v:31:y:2023:i:4:p:2386-2401
    DOI: 10.1002/sd.2516
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/sd.2516
    Download Restriction: no
    File URL: https://libkey.io/10.1002/sd.2516?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
    ---><---

    References listed on IDEAS

    as
    1. Paul Lanoie & Michel Patry & Richard Lajeunesse, 2008. "Environmental regulation and productivity: testing the porter hypothesis," Journal of Productivity Analysis, Springer, vol. 30(2), pages 121-128, October.
    2. Acemoglu, Daron & Cao, Dan, 2015. "Innovation by entrants and incumbents," Journal of Economic Theory, Elsevier, vol. 157(C), pages 255-294.
    3. Marius Ley & Tobias Stucki & Martin Woerter, 2016. "The Impact of Energy Prices on Green Innovation," The Energy Journal, , vol. 37(1), pages 41-76, January.
    4. Stefan Wager & Susan Athey, 2018. "Estimation and Inference of Heterogeneous Treatment Effects using Random Forests," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(523), pages 1228-1242, July.
    5. Eric Bartelsman & John Haltiwanger & Stefano Scarpetta, 2004. "Microeconomic Evidence of Creative Destruction in Industrial and Developing Countries," World Bank Publications - Reports 9170, The World Bank Group.
    6. Rasmus Lentz & Dale T. Mortensen, 2008. "An Empirical Model of Growth Through Product Innovation," Econometrica, Econometric Society, vol. 76(6), pages 1317-1373, November.
    7. Christopher R. Knittel & Samuel Stolper, 2019. "Using Machine Learning to Target Treatment: The Case of Household Energy Use," NBER Working Papers 26531, National Bureau of Economic Research, Inc.
    8. Amil Petrin & Jagadeesh Sivadasan, 2013. "Estimating Lost Output from Allocative Inefficiency, with an Application to Chile and Firing Costs," The Review of Economics and Statistics, MIT Press, vol. 95(1), pages 286-301, March.
    9. X Nie & S Wager, 2021. "Quasi-oracle estimation of heterogeneous treatment effects [TensorFlow: A system for large-scale machine learning]," Biometrika, Biometrika Trust, vol. 108(2), pages 299-319.
    10. Jonathan M.V. Davis & Sara B. Heller, 2020. "Rethinking the Benefits of Youth Employment Programs: The Heterogeneous Effects of Summer Jobs," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 664-677, October.
    11. Michael Greenstone & John A. List & Chad Syverson, 2011. "The Effects of Environmental Regulation on the Competiveness of U.S. Manufacturing," Working Papers 11-03, Center for Economic Studies, U.S. Census Bureau.
    12. Yushan Qiu & Shuaishuai Jia & Jianping Liao & Xiaohan Yang, 2022. "Evaluation of Urban High quality Development Level based on Entropy Weight-TOPSIS Two step Method," Journal of Economic Analysis, Anser Press, vol. 1(2), pages 50-65, December.
    13. Sahar Milani, 2017. "The Impact of Environmental Policy Stringency on Industrial R&D Conditional on Pollution Intensity and Relocation Costs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(3), pages 595-620, November.
    14. Hernan Moscoso Boedo & Toshihiko Mukoyama, 2012. "Evaluating the effects of entry regulations and firing costs on international income differences," Journal of Economic Growth, Springer, vol. 17(2), pages 143-170, June.
    15. Gray, Wayne B. & Shadbegian, Ronald J., 2003. "Plant vintage, technology, and environmental regulation," Journal of Environmental Economics and Management, Elsevier, vol. 46(3), pages 384-402, November.
    16. Yushan Qiu & Shuaishuai Jia & Jianping Liao & Xiaohan Yang, 2022. "Evaluation of Urban High-quality Development Level based on Entropy Weight-TOPSIS Two-step Method," Journal of Economic Analysis, Anser Press, vol. 1(2), pages 50-65, December.
    17. Nannan Wang & Dengfeng Cui & Chuanzhen Geng & Zefan Xia, 2022. "The role of business environment optimization on entrepreneurship enhancement," Journal of Economic Analysis, Anser Press, vol. 1(2), pages 66-81, December.
    18. Noailly, Joëlle & Smeets, Roger, 2015. "Directing technical change from fossil-fuel to renewable energy innovation: An application using firm-level patent data," Journal of Environmental Economics and Management, Elsevier, vol. 72(C), pages 15-37.
    19. repec:bba:eallet:v:1:y:2022:i:1:p:15-21 is not listed on IDEAS
    20. Li Chen & Jianing Zhu & Cunyi Yang, 2022. "Forecasting Parameters in the SABR Model," Journal of Economic Analysis, Anser Press, vol. 1(1), pages 66-78, September.
    21. Virgiliu Midrigan & Daniel Yi Xu, 2014. "Finance and Misallocation: Evidence from Plant-Level Data," American Economic Review, American Economic Association, vol. 104(2), pages 422-458, February.
    22. Can Wang & Yuan Yang & Junjie Zhang, 2015. "China's sectoral strategies in energy conservation and carbon mitigation," Climate Policy, Taylor & Francis Journals, vol. 15(sup1), pages 60-80, December.
    23. Nannan Wang & Dengfeng Cui & Chuanzhen Geng & Zefan Xia, 2022. "The role of business environment optimization on entrepreneurship enhancement," Journal of Economic Analysis, Anser Press, vol. 1(2), pages 66-81, December.
    24. Haoyuan Cheng & Xiaoqian Liu & Zhenlong Xu, 2022. "Impact of Carbon Emission Trading Market on Regional Urbanization: an Empirical Study Based on a Difference-In-Differences Model," Economic Analysis Letters, Anser Press, vol. 1(1), pages 15-21, September.
    25. Hamamoto, Mitsutsugu, 2006. "Environmental regulation and the productivity of Japanese manufacturing industries," Resource and Energy Economics, Elsevier, vol. 28(4), pages 299-312, November.
    26. World Bank, 2012. "Inclusive Green Growth : The Pathway to Sustainable Development," World Bank Publications - Books, The World Bank Group, number 6058, April.
    27. Li Chen & Jianing Zhu & Cunyi Yang, 2022. "Forecasting Parameters in the SABR Model," Journal of Economic Analysis, Anser Press, vol. 1(1), pages 66-78, September.
    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. Mi Sook Lee, 2024. "The relationship between green innovation and sustainable growth in Korean companies: Moderated mediation effect of ESG score by industry," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(3), pages 2797-2810, June.
    2. Zhang, Haonan & Yu, Guanchen, 2024. "Reducing costs or increasing efficiency? Unveiling the effects and mechanisms of the digital economy on sustained green innovation," International Review of Economics & Finance, Elsevier, vol. 96(PB).

    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. Xiaowei Song & Jun Yang, 2024. "Assessing the impact of digitization and servitization of manufacturing firms in the context of carbon emission reduction: Evidence from a microsurvey in China," Energy & Environment, , vol. 35(7), pages 3340-3385, November.
    2. GABLER, Alain & POSCHKE, Markus, 2011. "Growth through Experimentation," Cahiers de recherche 11-2011, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    3. Rubashkina, Yana & Galeotti, Marzio & Verdolini, Elena, 2015. "Environmental regulation and competitiveness: Empirical evidence on the Porter Hypothesis from European manufacturing sectors," Energy Policy, Elsevier, vol. 83(C), pages 288-300.
    4. Xu Dong & Yali Yang & Xiaomeng Zhao & Yingjie Feng & Chenguang Liu, 2021. "Environmental Regulation, Resource Misallocation and Industrial Total Factor Productivity: A Spatial Empirical Study Based on China’s Provincial Panel Data," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
    5. Song, Wenfei & Han, Xianfeng & Liu, Qiange, 2024. "Patterns of environmental regulation and green innovation in China," Structural Change and Economic Dynamics, Elsevier, vol. 71(C), pages 176-192.
    6. 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.
    7. Fan Wang & Lili Feng & Jin Li & Lin Wang, 2020. "Environmental Regulation, Tenure Length of Officials, and Green Innovation of Enterprises," IJERPH, MDPI, vol. 17(7), pages 1-16, March.
    8. Xie, Rong-hui & Yuan, Yi-jun & Huang, Jing-jing, 2017. "Different Types of Environmental Regulations and Heterogeneous Influence on “Green” Productivity: Evidence from China," Ecological Economics, Elsevier, vol. 132(C), pages 104-112.
    9. Wang, Yan & Shen, Neng, 2016. "Environmental regulation and environmental productivity: The case of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 758-766.
    10. Mian Yang & Yining Yuan & Fuxia Yang & Dalia Patino-Echeverri, 2021. "Effects of environmental regulation on firm entry and exit and China’s industrial productivity: a new perspective on the Porter Hypothesis," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 23(4), pages 915-944, October.
    11. Li, Zhenghui & Huang, Zimei & Su, Yaya, 2023. "New media environment, environmental regulation and corporate green technology innovation:Evidence from China," Energy Economics, Elsevier, vol. 119(C).
    12. Johan Brolund & Robert Lundmark, 2017. "Effect of Environmental Regulation Stringency on the Pulp and Paper Industry," Sustainability, MDPI, vol. 9(12), pages 1-16, December.
    13. Black, Dan A. & Grogger, Jeffrey & Kirchmaier, Tom & Sanders, Koen, 2023. "Criminal charges, risk assessment and violent recidivism in cases of domestic abuse," LSE Research Online Documents on Economics 121374, London School of Economics and Political Science, LSE Library.
    14. Hongzhong Fan & Shuang Tao & Shujahat Haider Hashmi, 2021. "Does the Construction of a Water Ecological Civilization City Improve Green Total Factor Productivity? Evidence from a Quasi-Natural Experiment in China," IJERPH, MDPI, vol. 18(22), pages 1-19, November.
    15. Yang, Chih-Hai & Tseng, Yu-Hsuan & Chen, Chiang-Ping, 2012. "Environmental regulations, induced R&D, and productivity: Evidence from Taiwan's manufacturing industries," Resource and Energy Economics, Elsevier, vol. 34(4), pages 514-532.
    16. Phillip Heiler & Michael C. Knaus, 2021. "Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments," Papers 2110.01427, arXiv.org, revised Aug 2023.
    17. Jiang, Jiatong & Pei, Jiansuo & Zhang, Meng, 2024. "Green credit and firms’ span of global production stages," China Economic Review, Elsevier, vol. 87(C).
    18. Mitsukuni Nishida & Amil Petrin & Sašo Polanec, 2011. "Estimating Explaining Reallocation's Apparent Negative Contribution to Growth," Economics Working Paper Archive 584, The Johns Hopkins University,Department of Economics.
    19. Mitsukuni Nishida & Amil Petrin & Sašo Polanec, 2014. "Exploring reallocation’s apparent weak contribution to growth," Journal of Productivity Analysis, Springer, vol. 42(2), pages 187-210, October.
    20. Lingui Qin & Songqi Liu & Cuijing Zhan & Xiaofang Duan & Shuaishuai Li & Yao Hou, 2023. "Impact of China’s Local Government Competition and Environmental Regulation on Total Factor Productivity," SAGE Open, , vol. 13(1), pages 21582440231, March.

    More about this item

    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:wly:sustdv:v:31:y:2023:i:4:p:2386-2401. 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: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1099-1719 .

    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.