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Natural resources, urbanization and regional innovation capabilities

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  • Chen, Jian
  • Wang, Lingjun
  • Li, Yuanyuan

Abstract

This paper used panel data of 30 regions/provinces of China from year 2005–2018 to empirically test the impact of abundance of natural resources and urbanization on regional innovation capabilities. The findings from the empirical analysis indicate that (1) the spatial effects on regional innovation capabilities are significant, and cannot be ignored. It shows that the optimal model is a spatial doubly model with dual fixed effects. (2) the richer the natural resources, the more unfavorable is the improvement of the innovation capacity of the region and surrounding areas. Urbanization has improved the region's innovation capabilities at regional level, but it is negatively related to the innovation capabilities of surrounding areas. (3) In terms of control variables, the average years of education is conducive to the improvement of innovation capacity in the region, and negative impact on the innovation capacity of adjacent area. Foreign direct investment (FDI) has promoted the regional innovation capacity in the region and adjacent area. The system has strengthened the regional innovation capacity, but the impact on the surrounding areas has not been significant.

Suggested Citation

  • Chen, Jian & Wang, Lingjun & Li, Yuanyuan, 2020. "Natural resources, urbanization and regional innovation capabilities," Resources Policy, Elsevier, vol. 66(C).
  • Handle: RePEc:eee:jrpoli:v:66:y:2020:i:c:s0301420720300829
    DOI: 10.1016/j.resourpol.2020.101643
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    11. Peizhu Xin & Min Zhao & Yang Bai, 2022. "Does the Belt and Road Initiative Promote Green Innovation Quality? Evidence from Chinese Cities," Sustainability, MDPI, vol. 14(10), pages 1-19, May.
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    15. Yi Shen & Minghan Lyu & Jiali Zhu, 2022. "Air Pollution and Corporate Green Financial Constraints: Evidence from China’s Listed Companies," IJERPH, MDPI, vol. 19(22), pages 1-23, November.
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    19. Zheng, Mingbo & Feng, Gen-Fu & Jang, Chyi-Lu & Chang, Chun-Ping, 2021. "Terrorism and green innovation in renewable energy," Energy Economics, Elsevier, vol. 104(C).
    20. Liu, Yunqiang & Liu, Sha & Shao, Xiaoyu & He, Yanqiu, 2022. "Policy spillover effect and action mechanism for environmental rights trading on green innovation: Evidence from China's carbon emissions trading policy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    21. Qian Lu & Chao Hua & Jianjun Miao, 2022. "The Impact of Factor Market Distortion on the Efficiency of Technological Innovation: A Spatial Analysis," Sustainability, MDPI, vol. 14(19), pages 1-15, September.
    22. Kamguia, Brice & Keneck-Massil, Joseph & Nvuh-Njoya, Youssouf & Tadadjeu, Sosson, 2022. "Natural resources and innovation: Is the R&D sector cursed too?," Resources Policy, Elsevier, vol. 77(C).
    23. Lingjun Guo & Yanran Liu, 2022. "Urban-Industrial Development and Regional Economic Growth in a Developing Country: A Spatial Econometric Approach," SAGE Open, , vol. 12(2), pages 21582440221, June.

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