中国经济高速增长以环境污染为代价已经成为不争的事实。如何在确保经济增长的同时减少污染，成为实现经济可持续发展的首要目标。经济增长主要依靠投入或提高生产率来实现，绿色全要素生产率由于考虑了污染减排因素,可以作为转变经济发展方式的控制节点。在既定的经济结构下，污染减少主要依靠有效的环境规制，从这个逻辑看，识别环境规制与绿色全要素生产率之间的关系非常必要。与大多数研究不同，本项目避开了传统从正面直接评估二者关系"波特效应"的研究范式，首次借助三阶段DEA调整理论与方法进行研究设计，在测度中国经济绿色全要素生产率基础上，从影响绿色全要素生产率的诸多因素中"剥离"出环境规制的影响，获得绿色全要素生产率变化的信息。通过对不同种类环境规制效应的"剥离"，识别出绿色全要素生产率变化对各类环境规制变量是否敏感的关键信息，提出与中国经济绿色全要素生产率增长相匹配的环境规制措施，为环境政策工具选择提供科学依据。

It has become an indisputable fact that China's rapid economic growth is at the cost of environmental pollution. How to ensure economic growth while reducing pollution becomes the primary objective of achieving sustainable economic development. Economic growth is mainly achieved by inputs increase or productivity improvement. Green total factor productivity accounts for pollution reduction factors, so it can be used as the control node of transformation of economic development mode. Under established economic structure, to reduce pollution mainly rely on effective environmental regulations. From this logic, it is necessary to identify the relationship between environmental regulations and green total factor productivity. Different from most studies, this project avoids the traditional research paradigm that assesses relationship of "Potter Effect" between the two, and for the first time performs research design using the three-stage DEA adjustment theories and methods. Based on the measure of the Chinese economy green total factor productivity, and by "stripping" the impact of environmental regulations among many factors that affect the green total factor productivity, we can acquire the changes information of green total factor productivity. Through "stripping" effect of different kinds of environmental regulations, we can recognize critical information about whether green total factor productivity change is sensitive to certain kind of environment regulation. This allows us to present environment regulatory measures that match with the green total factor productivity growth of Chinese economy, and to provide a scientific basis for the selection of environmental policy tools.