在全球金融危机与生态环境不断恶化的双重压力下，绿色增长作为一种追求经济和环境协调发展的新型增长方式越来越受到国际社会的关注，并已逐渐成为学术界的研究热点。本文以OECD绿色增长评价框架为基础，结合我国经济发展的实际情况，从社会经济、资源环境、自然资产、生活质量与政策支持5个方面选取指标，建立绿色增长影响因素指标集。针对主观筛选法的缺点，利用相关分析（CA）与变精度粗糙集（VPRS）对影响因素指标进行客观筛选，删掉同一准则层内信息重复性大且对评价结果没有显著影响的指标。基于CA-VPRS方法的实证分析，既证实了该方法的可行性，又为我国经济实现绿色增长提供了一定的理论支持。

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.