Abstract: Under the dual pressure of the global financial crisis and the worsening ecological environment, green growth that as a new growth mode of pursuing the coordinated development of economy and environment gets more and more attention of the international community, and gradually becomes a hot academic topic. Based on the OECD green growth evaluation framework and combined with the actual situation of China's economic development, the paper selects indicators from social economy, resources and environment, natural assets, quality of life and policy support, and builds the indicators set of green growth. The paper improves the subjective selection method according to its shortcomings and uses the two approaches of Correlation Analysis (CA) and Variable Precision Rough Set (VPRS) to delete the indicators with high correlation and with no significant impact on evaluation results in the same criteria layer. The paper exploits the CA - VPRS method to do the empirical analysis which not only confirms the feasibility of this method, but also provides the theoretical support for economic green transition in China.

Key words: green growth, evaluation index system, correlation analysis, variable precision rough set