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Understanding spatial-temporal evolution of renewable energy technology innovation in China: Evidence from convergence analysis

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  • Bai, Caiquan
  • Feng, Chen
  • Du, Kerui
  • Wang, Yuansheng
  • Gong, Yuan

Abstract

This paper constructs a knowledge-stock indicator to explore the trend of renewable energy technology innovation (RETI) levels across China's provinces during 1997–2015. First, the spatial-temporal evolution is analyzed. Second, the convergence characteristics and patterns are identified through the nonlinear time-varying factor model and the relative transition path curves. Third, the drivers of convergence behaviors are examined. The results are as follows: (i) China's RETI experienced a spurt of development. Its spatial pattern has changed significantly, and the average annual growth rate has also shown spatial differences; (ii) China's provincial RETI level was not converged as a whole during the sample period, but exhibited club convergence characteristics. The 30 provinces eventually converged to three clubs with large differences in average RETI level and annual growth rate; (iii) the provinces with a more optimized industrial structure, a greater R&D investment intensity, and a higher environmental regulation intensity tended to converge to the club with a higher innovation level and growth rate.

Suggested Citation

  • Bai, Caiquan & Feng, Chen & Du, Kerui & Wang, Yuansheng & Gong, Yuan, 2020. "Understanding spatial-temporal evolution of renewable energy technology innovation in China: Evidence from convergence analysis," Energy Policy, Elsevier, vol. 143(C).
    • Handle: RePEc:eee:enepol:v:143:y:2020:i:c:s0301421520303128
    DOI: 10.1016/j.enpol.2020.111570
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