Green transformation development (GTD) has become an inevitable choice for realizing the coordinated progress of economy and environment. In this study, taking the "three-dimensional integrated" driving model as the framework, a GTD evaluation indicator system was constructed. Based on China’s provincial panel data from 2006 to 2019, the level of GTD was measured by using the vertical-and-horizontal scatter degree method and the global entropy weight -TOPSIS- grey relational analysis comprehensive evaluation method. Moreover, the Dagum Gini coefficient and its decomposition, Kernel density estimation and Moran's I methods were used to systematically analyze the spatio-temporal characteristics of regional differences in GTD. The results showed that: (1) In 2006-2019, China's overall and four major regions' GTD indexes showed an overall growth trend, but the growth rate gradually slowed down after 2013. Governments environmental governance and enterprises green production dimensions contributed to the GTD, while resident green consumption dimension constrained it. (2) The regional differences in China's GTD level were mainly caused by the inter-regional differences. The intra-regional differences in GTD levels of the four major regions were all on a decreasing trend. (3) The absolute differences in China's overall and four major regions' GTD indexes were gradually decreasing, and the GTD of provinces in the region tended to be balanced, gradually forming stable H-H aggregation and L-L aggregation effects. Finally, the recommendations were put forward according to results.
 

green transformation development,evaluation indicator system,Dagum gini coefficient,Kernel density estimation,Moran's I