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

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  • 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.

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  • 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
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    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.
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    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).

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