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Analysis on Spatio-Temporal Characteristics and Influencing Factors of Industrial Green Innovation Efficiency—From the Perspective of Innovation Value Chain

Author

Listed:
  • Pengzhen Liu

    (School of Management, Shandong University of Technology, Zibo 255000, China)

  • Liyuan Zhang

    (School of Business and Creative Industries, University of the West of Scotland, Paisley PA1 2BE, UK)

  • Heather Tarbert

    (School of Business and Creative Industries, University of the West of Scotland, Paisley PA1 2BE, UK)

  • Ziyu Yan

    (School of Management, Shandong University of Technology, Zibo 255000, China)

Abstract

Green innovation has become an important combination of high-quality economic growth and ecological sustainability. In this paper, the super-efficiency network SBM model was used to measure the two-stage green innovation efficiency of the industrial technology research and development (R&D) stage and achievement transformation stage in China (30 provinces and cities) from 2009 to 2019. The results show the following points. Firstly, in terms of temporal series, the efficiency of technology R&D and achievement transformation has experienced three stages of “upward-declining-revitalized period”. Secondly, in terms of spatial trend, the industrial green innovation efficiency gradually increases from northwest to southeast. The high-efficiency areas are still concentrated in the eastern coastal region, with a clear trend towards balanced development in the central and western regions. Finally, openness, industrial structure, government technical expenditures, enterprise scale, and environmental regulation all have different degrees of impact on the efficiency of green innovation in the two stages. Based on the above, this paper is helpful for the government to formulate laws and regulations and coordinate the level of regional economic development and clarify the spatio-temporal characteristics and influencing factors of the efficiency of green innovation.

Suggested Citation

  • Pengzhen Liu & Liyuan Zhang & Heather Tarbert & Ziyu Yan, 2021. "Analysis on Spatio-Temporal Characteristics and Influencing Factors of Industrial Green Innovation Efficiency—From the Perspective of Innovation Value Chain," Sustainability, MDPI, vol. 14(1), pages 1-20, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2021:i:1:p:342-:d:713674
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    References listed on IDEAS

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    1. Camisón, César & Monfort-Mir, Vicente M., 2012. "Measuring innovation in tourism from the Schumpeterian and the dynamic-capabilities perspectives," Tourism Management, Elsevier, vol. 33(4), pages 776-789.
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    Cited by:

    1. Yunyao Li & Yanji Ma, 2022. "Research on Industrial Innovation Efficiency and the Influencing Factors of the Old Industrial Base Based on the Lock-In Effect, a Case Study of Jilin Province, China," Sustainability, MDPI, vol. 14(19), pages 1-23, October.
    2. Fanbo Li & Hongfeng Zhang & Di Zhang & Haoqun Yan, 2023. "Structural Diffusion Model and Urban Green Innovation Efficiency—A Hybrid Study Based on DEA-SBM, NCA, and fsQCA," Sustainability, MDPI, vol. 15(17), pages 1-29, August.
    3. Wang, Zhe & Chen, Huangxin & Teng, Yin-Pei, 2023. "Role of greener energies, high tech-industries and financial expansion for ecological footprints: Implications from sustainable development perspective," Renewable Energy, Elsevier, vol. 202(C), pages 1424-1435.
    4. Chenggang Wang, 2022. "Green Technology Innovation, Energy Consumption Structure and Sustainable Improvement of Enterprise Performance," Sustainability, MDPI, vol. 14(16), pages 1-21, August.
    5. Xinjie Yan & Hui Sun & Long Xin, 2023. "“Harmonization” or “Fragmentation”: The Impact of Low-Carbon Policy Synergy on Inclusive Low-Carbon Development," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    6. Guangming Yang & Siyi Cheng & Qingqing Gui & Xinlan Chen, 2022. "The Coupling and Coordination Characteristics and Influencing Factors of Green Innovation Efficiency (GIE) and Economic Development Levels in China," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    7. Fang Song & Xuerong Xu, 2023. "How Operation Scale Improve the Production Technical Efficiency of Grape Growers? An Empirical Evidence of Novel Panel Methods for China’s Survey Data," Sustainability, MDPI, vol. 15(4), pages 1-19, February.

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