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Impact of Manufacturing Agglomeration on the Green Innovation Efficiency—Spatial Effect Based on China’s Provincial Panel Data

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  • Shan Xu

    (School of Economics, Hangzhou Dianzi University, Hangzhou 310018, China)

  • Yu Zhang

    (School of Economics, Hangzhou Dianzi University, Hangzhou 310018, China)

Abstract

Improving the efficiency of green innovation has become an urgent issue in the transformation of manufacturing industries in most developing countries within the context of increasing resource scarcity and environmental constraints. As an important feature of manufacturing development, agglomeration also plays a substantial role the promotion of technological progress and green transformation. Taking China as an example, this paper investigates the spatial impact of manufacturing agglomeration (MAGG) on green innovation efficiency (GIE). We first measure the level of MAGG and GIE in 30 provinces (autonomous regions and municipalities) in China during the period from 2010 to 2019, and then we utilize the spatial Durbin model in order to empirically test the spatial effect and heterogeneity based on theoretical analysis. The findings demonstrate that (1) the overall GIE in China has maintained a steady increase, and the level of MAGG slowly decreased from 2010 to 2019 with characteristics of obvious regional non-equilibrium and spatial correlations; (2) MAGG has a significant effect on the improvement of GIE nationally; (3) under the constraints of regional heterogeneity, the impacts of MAGG on GIE show significant differences between eastern, central and western China; (4) in terms of industry heterogeneity, high-tech MAGG can significantly enhance local GIE, while the indirect effect of non-high-tech MAGG is significantly negative. Our findings not only contribute to the advancement of studies pertaining to industry agglomeration and innovation, but also present policy implications for China and the world at large in terms of the development of high-quality and green economy.

Suggested Citation

  • Shan Xu & Yu Zhang, 2023. "Impact of Manufacturing Agglomeration on the Green Innovation Efficiency—Spatial Effect Based on China’s Provincial Panel Data," IJERPH, MDPI, vol. 20(5), pages 1-23, February.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:4238-:d:1082164
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    1. Mansfield, Edwin, 1981. "Composition of R and D Expenditures: Relationship to Size of Firm, Concentration, and Innovative Output," The Review of Economics and Statistics, MIT Press, vol. 63(4), pages 610-615, November.
    2. Huaxi Yuan & Longhui Zou & Xiangyong Luo & Yidai Feng, 2022. "How Does Manufacturing Agglomeration Affect Green Development? A Spatial and Nonlinear Perspective," IJERPH, MDPI, vol. 19(16), pages 1-23, August.
    3. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
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    Cited by:

    1. Lanqing Ge & Chunyan Li & Lei Sun & Weina Hu & Qi Ban, 2023. "The Relationship between High-Tech Industrial Agglomeration and Regional Innovation: A Meta-Analysis Investigation in China," Sustainability, MDPI, vol. 15(23), pages 1-22, December.
    2. Guo, Jie & Sun, Zixu, 2023. "How does manufacturing agglomeration affect high-quality economic development in China?," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 673-691.
    3. Michael Yao-Ping Peng & Li Zhang & Meng-Hsiu Lee & Fang-Yih Hsu & Yan Xu & Yuan He, 2024. "The relationship between strategic human resource management, green innovation and environmental performance: a moderated-mediation model," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.

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