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Structural Diffusion Model and Urban Green Innovation Efficiency—A Hybrid Study Based on DEA-SBM, NCA, and fsQCA

Author

Listed:
  • Fanbo Li

    (Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao 999078, China)

  • Hongfeng Zhang

    (Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao 999078, China)

  • Di Zhang

    (Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao 999078, China)

  • Haoqun Yan

    (Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao 999078, China)

Abstract

This research is based on structural theory and innovation diffusion theory, exploring the theoretical foundations and influencing factors of urban green innovation to provide theoretical support for the realization of the world’s sustainable development goals (SDGs). By using the methods of Data Envelopment Analysis with Slacks-Based Measure (DEA) non-expected model, Necessary Condition Analysis of Research Methods (NCA), and Fuzzy Set Qualitative Comparative Analysis (fsQCA) in combination, the research analyzes the variables influencing the capability of urban green innovation. The study finds that the level of urban culture and absorptive capacity are necessary conditions for urban green innovation, with urban absorptive capacity having a high level of influence. The main paths for urban green innovation are a comprehensive cultural innovation path, an open cultural inclusion path, an open participation innovation integration path, and an outcome transformation to drive the innovation path. In addition, the research discovered patterns of cultural influence that go beyond institutional and resource-based structural factors, subject action processes, and transformation models guided by absorption and sustainable participation. The research results have important significance for understanding the driving factors and promotion paths of urban green innovation, providing empirical evidence for the realization of the world’s SDGs.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:17:p:12705-:d:1222619
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    References listed on IDEAS

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    1. Hossein Azizi, 2014. "DEA efficiency analysis: A DEA approach with double frontiers," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(11), pages 2289-2300, November.
    2. Fanbo Li & Hongfeng Zhang, 2022. "How the “Absorption Processes” of Urban Innovation Contribute to Sustainable Development—A Fussy Set Qualitative Comparative Analysis Based on Seventy-Two Cities in China," Sustainability, MDPI, vol. 14(23), pages 1-22, November.
    3. Thomas Brenner & Tom Broekel, 2011. "Methodological Issues in Measuring Innovation Performance of Spatial Units," Industry and Innovation, Taylor & Francis Journals, vol. 18(1), pages 7-37.
    4. Xiaolan Fu, 2008. "Foreign Direct Investment, Absorptive Capacity and Regional Innovation Capabilities: Evidence from China," Oxford Development Studies, Taylor & Francis Journals, vol. 36(1), pages 89-110.
    5. Enrico Guzzini & Donato Iacobucci, 2017. "Project failures and innovation performance in university–firm collaborations," The Journal of Technology Transfer, Springer, vol. 42(4), pages 865-883, August.
    6. Syed Mithun Ali & Andrea Appolloni & Fausto Cavallaro & Idiano D’Adamo & Assunta Di Vaio & Francesco Ferella & Massimo Gastaldi & Muhammad Ikram & Nallapaneni Manoj Kumar & Michael Alan Martin & Abdul, 2023. "Development Goals towards Sustainability," Sustainability, MDPI, vol. 15(12), pages 1-11, June.
    7. Si Ying Tan & Araz Taeihagh, 2020. "Smart City Governance in Developing Countries: A Systematic Literature Review," Sustainability, MDPI, vol. 12(3), pages 1-29, January.
    8. Miao, Cheng-lin & Duan, Meng-meng & Zuo, Yang & Wu, Xin-yu, 2021. "Spatial heterogeneity and evolution trend of regional green innovation efficiency--an empirical study based on panel data of industrial enterprises in China's provinces," Energy Policy, Elsevier, vol. 156(C).
    9. Wenjing Cai & Chun Yang & Bart A. G. Bossink & Jingtao Fu, 2020. "Linking Leaders’ Voluntary Workplace Green Behavior and Team Green Innovation: The Mediation Role of Team Green Efficacy," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
    10. Runjuan Liu & Dorothee J Feils & Barry Scholnick, 2011. "Why are different services outsourced to different countries?," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 42(4), pages 558-571, May.
    11. Dul, Jan, 2016. "Identifying single necessary conditions with NCA and fsQCA," Journal of Business Research, Elsevier, vol. 69(4), pages 1516-1523.
    12. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    13. 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.
    14. Hongfeng Zhang & Yumeng Zeng, 2022. "The Education for Sustainable Development, Online Technology and Teleological Rationality: A Game between Instrumental Value and Humanistic Value," Sustainability, MDPI, vol. 14(4), pages 1-16, February.
    15. Rocsana Bucea-Manea-Țoniş & Viktor Prokop & Dragan Ilic & Elena Gurgu & Radu Bucea-Manea-Țoniş & Cezar Braicu & Alina Moanță, 2021. "The Relationship between Eco-Innovation and Smart Working as Support for Sustainable Management," Sustainability, MDPI, vol. 13(3), pages 1-16, January.
    16. Feng, Suling & Zhang, Rong & Li, Guoxiang, 2022. "Environmental decentralization, digital finance and green technology innovation," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 70-83.
    17. Fuenfschilling, Lea & Truffer, Bernhard, 2014. "The structuration of socio-technical regimes—Conceptual foundations from institutional theory," Research Policy, Elsevier, vol. 43(4), pages 772-791.
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    Cited by:

    1. Shumin Dong & Kai Liu, 2024. "Agglomeration Externalities vs. Network Externalities: Impact on Green Technology Innovation in 283 Chinese Cities," Sustainability, MDPI, vol. 16(9), pages 1-14, April.

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    Keywords

    Urban Green Innovation; DEA; NCA; QCA;
    All these keywords.

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