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The driving effect of technological innovation on green development: From the perspective of efficiency

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  • Cheng, Manli
  • Wang, Junbo
  • Yang, Shanlin
  • Li, Qiang

Abstract

Green development is considered to be an effective way to achieve win-win between economy and environment, and technological innovation is the core driving force of green transformation development. High-tech industries are the core industries of industrial technology and economic development, and their technological innovation ability and green development level are important supports for optimizing the national industrial structure and promoting the green transformation of industries. Therefore, based on the concept of innovation and green development, this paper analyzes the industrial development rule from the perspective of the interaction mechanism between technological innovation and green development, to provide theoretical reference for the design of corresponding development strategies and planning. Hence, NSBM model is constructed to evaluate the efficiency of multi-stage technology innovation and deconstruct the evolution law of technology innovation value chain of high-tech industry. Secondly, GML model is used to evaluate green total factor productivity and clarify the green and high-quality development status of high-tech industry. Finally, the truncated regression model is constructed to analyze the factors affecting the external environment of green transformation development. The results indicate that the upgrading of technology innovation value chain is conducive to promoting green transformation development.

Suggested Citation

  • Cheng, Manli & Wang, Junbo & Yang, Shanlin & Li, Qiang, 2024. "The driving effect of technological innovation on green development: From the perspective of efficiency," Energy Policy, Elsevier, vol. 188(C).
    • Handle: RePEc:eee:enepol:v:188:y:2024:i:c:s0301421524001095
    DOI: 10.1016/j.enpol.2024.114089
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    1. Meijer, Mirjam S. & van Jaarsveld, Willem & de Kok, Ton & Tang, Christopher S., 2022. "Direct versus indirect penalties for supply contracts in high-tech industry," European Journal of Operational Research, Elsevier, vol. 301(1), pages 203-216.
    2. Orr, Lloyd, 1976. "Incentive for Innovation as the Basis for Effluent Charge Strategy," American Economic Review, American Economic Association, vol. 66(2), pages 441-447, May.
    3. Zhang, Bin & Luo, Yuan & Chiu, Yung-Ho, 2019. "Efficiency evaluation of China's high-tech industry with a multi-activity network data envelopment analysis approach," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 2-9.
    4. 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.
    5. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    6. Jiang, Zhenyu & Wang, Zongjun & Lan, Xiao, 2021. "How environmental regulations affect corporate innovation? The coupling mechanism of mandatory rules and voluntary management," Technology in Society, Elsevier, vol. 65(C).
    7. Wang, Ya & Pan, Jiao-feng & Pei, Rui-min & Yi, Bo-Wen & Yang, Guo-liang, 2020. "Assessing the technological innovation efficiency of China's high-tech industries with a two-stage network DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    8. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    9. Ren, Siyu & Hao, Yu & Wu, Haitao, 2022. "The role of outward foreign direct investment (OFDI) on green total factor energy efficiency: Does institutional quality matters? Evidence from China," Resources Policy, Elsevier, vol. 76(C).
    10. David Popp, 2002. "Induced Innovation and Energy Prices," American Economic Review, American Economic Association, vol. 92(1), pages 160-180, March.
    11. Puga, Diego & Trefler, Daniel, 2010. "Wake up and smell the ginseng: International trade and the rise of incremental innovation in low-wage countries," Journal of Development Economics, Elsevier, vol. 91(1), pages 64-76, January.
    12. Chiang Kao, 2014. "Efficiency Decomposition in Network Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 55-77, Springer.
    13. Tone, Kaoru & Tsutsui, Miki, 2009. "Network DEA: A slacks-based measure approach," European Journal of Operational Research, Elsevier, vol. 197(1), pages 243-252, August.
    14. Oh, Dong-hyun & Heshmati, Almas, 2010. "A sequential Malmquist-Luenberger productivity index: Environmentally sensitive productivity growth considering the progressive nature of technology," Energy Economics, Elsevier, vol. 32(6), pages 1345-1355, November.
    15. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    16. Roper, Stephen & Du, Jun & Love, James H., 2008. "Modelling the innovation value chain," Research Policy, Elsevier, vol. 37(6-7), pages 961-977, July.
    17. Richard G. Newell & Adam B. Jaffe & Robert N. Stavins, 1999. "The Induced Innovation Hypothesis and Energy-Saving Technological Change," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(3), pages 941-975.
    18. Michael E. Porter & Claas van der Linde, 1995. "Toward a New Conception of the Environment-Competitiveness Relationship," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 97-118, Fall.
    19. Pittman, Russell W, 1983. "Multilateral Productivity Comparisons with Undesirable Outputs," Economic Journal, Royal Economic Society, vol. 93(372), pages 883-891, December.
    20. Zhu, Jianhua & Sun, Yanming, 2020. "Dynamic modeling and chaos control of sustainable integration of informatization and industrialization," Chaos, Solitons & Fractals, Elsevier, vol. 135(C).
    21. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    22. Wan, Qunchao & Ye, Jiangfeng & Zheng, Li & Tan, Zhihong & Tang, Shiyi, 2023. "The impact of government support and market competition on China's high-tech industry innovation efficiency as an emerging market," Technological Forecasting and Social Change, Elsevier, vol. 192(C).
    23. Zhao, Yong & Shi, Xunpeng & Song, Feng, 2020. "Has Chinese outward foreign direct investment in energy enhanced China's energy security?," Energy Policy, Elsevier, vol. 146(C).
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