满足人们日益增长的优美生态环境需要、维护人民群众的生态权益是社会主义新时代背景下生态文明建设的核心要义，而准确把握中国生态福利绩效的时空演变规律及其影响因素对于实现这一战略目标具有重要现实意义。本文运用SBM-DEA超效率模型、Getis-Ord Gi*指数、面板Tobit回归模型，在绿色技术创新视域下分析了2004-2016年中国30个省(市、区)生态福利绩效水平、空间分类特征、冷热点区域格局演化及影响因素。结果显示:①中国省域生态福利绩效整体呈略微下降趋势,地区间绩效水平及变化幅度差异较为显著;②东部地区多省市在研究期内从EWP相对有效降为相对无效，表现出经济发展水平与生态资源利用能力的失调；③生态福利绩效冷热点数量和结构分布不均匀，呈现出显著的空间异质性；④绿色技术创新效率与生态福利绩效显著正相关,通过绿色技术创新推动生态福利绩效提升是实现可持续发展的必由之路。

To meet people's growing needs for exquisite environment and safeguard people's ecological rights and interests are the core essential of the construction of ecological civilization in the new era of socialism. Accurately realizing the spatial structure and influencing factors of ecological well-being performance is of great value to achieve this strategic goal. In this paper, we use SBM-DEA super efficiency model, Getis-Ord Gi* index and panel Tobit regression model to analyze the ecological well-being performance, characteristics of spatial classification, regional evolution of hot and cold spots and influencing factors of 30 provinces (cities and districts) from 2004 to 2016 in the perspective of green technology innovation. The results show that: (1) Provincial ecological well-being performance show a slight downward trend from 2004 to 2016, the difference in performance level and the range of change is significant among regions. (2) The level of EWP of many provinces and cities in the eastern region reduced from relative efficiency to relative nullity in 2004-2016, it shows the imbalance between economic level and the ability to utilize ecological resource; (3)The number and structure of hot and cold spots of ecological well-being performance is unevenly distribute in 2004-2016, this result presents a significant spatial heterogeneity; (4) The green technological innovation has a significant positive effect on the ecological well-being performance, and the promotion of ecological well-being performance through green technological innovation is the significant way to achieve sustainable development.

国家社会科学基金项目 “我国省际绿色创新的空间结构演化及异质性溢出研究” (17BJY038)