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

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.