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Effects of Regional Innovation Capability on the Green Technology Efficiency of China’s Manufacturing Industry: Evidence from Listed Companies

Author

Listed:
  • Yu Fu

    (School of Geography, Nanjing Normal University, Nanjing 210023, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China)

  • Agus Supriyadi

    (School of Geography, Nanjing Normal University, Nanjing 210023, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
    Inspectorate Banjar City Government, Banjar West Java 46311, Indonesia)

  • Tao Wang

    (School of Geography, Nanjing Normal University, Nanjing 210023, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China)

  • Luwei Wang

    (School of Geography, Nanjing Normal University, Nanjing 210023, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China)

  • Giuseppe T. Cirella

    (Faculty of Economics, University of Gdansk, 81-824 Sopot, Poland)

Abstract

The purpose of the “Made in China 2025” strategy is to enhance the innovation capabilities of the local manufacturing industry and achieve green and sustainable development. The role of innovation in the development of manufacturing is a hotspot in academic research, though only a few studies have analyzed the interaction between green technology manufacturing efficiency and its external innovation capabilities. This study used the 2011–2017 Chinese A-share listed manufacturing companies as samples to discuss whether regional innovation capabilities can promote the improvement of green technology manufacturing efficiency. The results showed that a significant spatial correlation between regional innovation capability and green technology manufacturing efficiency was prevalent within spatial heterogeneous bounds. In addition, regional innovation capability directly promoted the effective manufacturing of green technology efficiency, which was strongest in the eastern region of the country. Regional innovation capabilities also had a positive effect on human capital and government revenue, thereby further enhancing the green technology efficiency of manufacturing through the intermediary effect. Based on the above conclusions, some policy recommendations are put forward to facilitate the improvement of China’s regional innovation capabilities in terms of green technology efficiency in manufacturing.

Suggested Citation

  • Yu Fu & Agus Supriyadi & Tao Wang & Luwei Wang & Giuseppe T. Cirella, 2020. "Effects of Regional Innovation Capability on the Green Technology Efficiency of China’s Manufacturing Industry: Evidence from Listed Companies," Energies, MDPI, vol. 13(20), pages 1-22, October.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:20:p:5467-:d:431389
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    References listed on IDEAS

    as
    1. Auteri, M. & Guccio, C. & Pammolli, F. & Pignataro, G. & Vidoli, F., 2019. "Spatial heterogeneity in non-parametric efficiency: An application to Italian hospitals," Social Science & Medicine, Elsevier, vol. 239(C).
    2. Xiafei Chen & Zhiying Liu & Chaoliang Ma, 2017. "Chinese innovation-driving factors: regional structure, innovation effect, and economic development—empirical research based on panel data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(1), pages 43-68, July.
    3. Shulin Gu & Bengt-Åke Lundvall & Ju Liu & Franco Malerba & Sylvia Schwaag Serger, 2009. "China's System and Vision of Innovation: An Analysis in Relation to the Strategic Adjustment and the Medium- to Long-Term S&T Development Plan (2006-20)," Industry and Innovation, Taylor & Francis Journals, vol. 16(4-5), pages 369-388.
    4. Ting Kong & Taiwen Feng & Chunming Ye, 2016. "Advanced Manufacturing Technologies and Green Innovation: The Role of Internal Environmental Collaboration," Sustainability, MDPI, vol. 8(10), pages 1-18, October.
    5. Schiederig, Tim & Tietze, Frank & Herstatt, Cornelius, 2011. "What is green Innovation? A quantitative literature review," Working Papers 63, Hamburg University of Technology (TUHH), Institute for Technology and Innovation Management.
    6. Sun, Huaping & Edziah, Bless Kofi & Sun, Chuanwang & Kporsu, Anthony Kwaku, 2019. "Institutional quality, green innovation and energy efficiency," Energy Policy, Elsevier, vol. 135(C).
    7. Steven Brakman & Charles Van Marrewijk, 2009. "Introduction: Heterogeneity At Different Spatial Scales," Journal of Regional Science, Wiley Blackwell, vol. 49(4), pages 607-615, October.
    8. Zhang, Dayong & Cao, Hong & Zou, Peijiang, 2016. "Exuberance in China's renewable energy investment: Rationality, capital structure and implications with firm level evidence," Energy Policy, Elsevier, vol. 95(C), pages 468-478.
    9. Gao, Yanyan & Zang, Leizhen & Roth, Antoine & Wang, Puqu, 2017. "Does democracy cause innovation? An empirical test of the popper hypothesis," Research Policy, Elsevier, vol. 46(7), pages 1272-1283.
    10. MOTOHASHI Kazuyuki, 2018. "The Regional Innovation System in China: Regional comparison of technology, venture financing, and human capital focusing on Shenzhen (Japanese)," Policy Discussion Papers (Japanese) 18012, Research Institute of Economy, Trade and Industry (RIETI).
    11. Luigi Aldieri & Maxim Nikolaevich Kotsemir & Concetto Paolo Vinci, 2018. "Knowledge spillover effects: empirical evidence from Russian regions," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(5), pages 2111-2132, September.
    12. Ying Qu & Ying Yu & Andrea Appolloni & Mengru Li & Yue Liu, 2017. "Measuring Green Growth Efficiency for Chinese Manufacturing Industries," Sustainability, MDPI, vol. 9(4), pages 1-18, April.
    13. Bi, Kexin & Huang, Ping & Wang, Xiangxiang, 2016. "Innovation performance and influencing factors of low-carbon technological innovation under the global value chain: A case of Chinese manufacturing industry," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 275-284.
    14. Min, Sujin & Kim, Juseong & Sawng, Yeong-Wha, 2020. "The effect of innovation network size and public R&D investment on regional innovation efficiency," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    15. MOTOHASHI Kazuyuki, 2018. "The Regional Innovation System in China: Regional comparison of technology, venture financing, and human capital focusing on Shenzhen," Policy Discussion Papers 18012, Research Institute of Economy, Trade and Industry (RIETI).
    16. Sumin Hu & Shulin Liu & Die Li & Yuxuan Lin, 2019. "How Does Regional Innovation Capacity Affect the Green Growth Performance? Empirical Evidence from China," Sustainability, MDPI, vol. 11(18), pages 1-21, September.
    17. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    18. Yingyuan Guo & Xingneng Xia & Sheng Zhang & Danping Zhang, 2018. "Environmental Regulation, Government R&D Funding and Green Technology Innovation: Evidence from China Provincial Data," Sustainability, MDPI, vol. 10(4), pages 1-21, March.
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    7. Yizhen Zhang & Zhen Deng & Agus Supriyadi & Rui Song & Tao Wang, 2022. "Spatiotemporal spread characteristics and influencing factors of COVID‐19 cases: Based on big data of population migration in China," Growth and Change, Wiley Blackwell, vol. 53(4), pages 1694-1715, December.
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    9. Maria Cristina Arcuri & Raoul Pisani, 2021. "Is Trade Credit a Sustainable Resource for Medium-Sized Italian Green Companies?," Sustainability, MDPI, vol. 13(5), pages 1-19, March.

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