Using China’s provincial panel data from 2011 to 2020, the temporal and spatial correlation relationship and influencing factors of China’s renewable energy development level were analyzed based on ESDA model and GTWR model. The results show that from 2011 to 2020, China’s renewable energy development level showed an upward trend, and regional differences gradually decreased. The level of renewable energy development of provinces was promoted from low level to high level. The spatial pattern of China’s renewable energy development level showed the characteristics of “east, middle and west” stepwise increase. The spatial agglomeration degree of renewable energy development level between provinces gradually decreased. Compared with the GWR model, the GTWR model can better fit the impact of various influencing factors on renewable energy development. Overall, electricity consumption has the most positive impact on the development of renewable energy. R&D funding has the most negative impact on renewable energy development, and there is significant spatial heterogeneity between the influencing factors.

使用2011—2020年中国省级面板数据, 基于ESDA模型和GTWR模型, 分析中国可再生能源发展水平的时空关联以及影响因素。结果表明, 2011—2020年, 中国可再生能源发展水平总体上呈现上升趋势, 区域间差异及空间集聚程度逐渐减小, 各省份可再生能源发展水平表现出由低向高演变的格局, 空间分布上呈现“东–中–西”阶梯式递增的特征。与GWR模型相比, GTWR模型能更好地拟合各影响因素对可再生能源发展的影响。电力消费量对可再生能源发展的正向影响最大, 研究与试验发展(R&D)经费对可再生能源发展的负向影响最大, 且各影响因素之间存在显著的空间异质性。