Realization of optimal industrial eco-efficiency is of significance to industrial green growth. This paper uses non-expected output SBM model to measure their 2010 to 2021 industrial eco-efficiency of 26 cities in Chengdu-Chongqing economic circle and Wuhan metropolitan circle as representative in the upper- to middle-stream of Yangtze River economic zone, and employs ArcGIS's visualization tools to compare their temporal-spatial evolution, and applies Tobit model and geographical detector model to identify their drives. It shows that their industrial eco-efficiency displays a fluctuating rising trend in two urban circles, with gap in the optimal efficiency. Polarizations partially exist inside prefectures in both circles. Industrial eco-efficiency is jointly constrained by R&D inputs, economy, transportation and openness, of which economy and transportation play a stronger promotion, others play a little in a need of raising foreign investment and intensifying research & development inputs to reach a positive promotion. This paper presents suggestions on strengthening an integrated development inside & outside of urban circle, establishing collective innovation network and increasing openness, aiming at promoting industrial eco-efficiency and local quality economic growth in the middle- and upper-stream of Yangtze River economic zone.

This paper on the purpose of exploring the impacts of business environment on technical innovation of China's minor enterprises, uses access to policy resource as a bridge to establish a framework of “business environment-resource accesstechnical innovation” from perspective of resources-basis view, take the data of A-share GEM listed companies in Shenzhen Stock Exchange from 2009 to 2017 as the research sample，which is used to study the mechanisms of business environment on technical innovation of China's minor enterprises, and to analyze the mediation of policy resources access between business environment and technical innovation of minor enterprises, and the moderating effect of market competitiveness intensity on policy resources access and technological innovation of minor，and uses the fixed effect model and the intermediary effect model to conduct empirical tests. Optimizing business environment can promote their technical innovation of China's minor enterprises. Among the tier 2 indicators of business environment, market intermediary organizations' development and legal system environment，development of factor market, development of private economy play an outstandingly positive role on their technical innovation. Excessive estrangement between the government and the market can have a restraining effect on technological innovation of minor enterprises. Development of products market works little on innovation of minor enterprises. Heterogeneity analysis suggests eastern China's business environment play a larger pushing role on minor enterprises' technical innovation than central-western China's. Business environment can not only directly boost their technical innovation of China's minor enterprises, but also indirectly through policy resources access. Access to policy resources plays a partial intermediary role between business environment and minor' technological innovation, accounting for 0.806 of the total effect of business environment on minor' technological innovation. Market competitiveness intensity plays a positive modulation between policy resources access and minor enterprises' technical innovation, the higher market competitiveness intensity, the access to policy resources will play a more positive role in promoting minor' technological innovation.

A rational responsibility accounting and rights allocation of carbon emission for power industry to set up carbon emission rights market. In consideration of inter-province power transfer, this paper estimates their carbon emission responsibilities in China's 30 provinces from producers' responsibility, consumers' responsibility and mutual responsibility, and applies the estimation in mutual responsibility to the comprehensively weighted allocation model which is based on hereditary rule, equalitarianism and payable ability. The results show an outstanding difference in carbon emission responsibility among provincial power industries under different accounting methods that the producers is lower than consumers in eastern China, but higher in central to western China. The mutual responsibility balances the difference. Under the comprehensively weighted model, carbon emission in 8 provinces shall reach the peak during 2017 to 2020 and fall to the 2016 level. According to provincial power carbon emission rights allocation quota and carbon emission prediction in 2020, nine provinces in the eastern coast area and northwest are short of carbon emission rights in 2020, which need to trade carbon emission rights or take action in carbon reduction.