The standpoint of present environmental economics is based on negative expected production assumption, which emphasizes on production induced pollution and its negative externality, irrespectively of the value of existing environmental resources and its conservation. After clarifying shortcomings of prevailing theories, this paper innovatively defines “positive” environmental output as total pollutants abatement with respect to actual emission of base period, incorporates the environmental stock into environment production efforts, redefines the scope and implication of environmental commodity and its features. Further, by Lindale equilibrium analysis and directional distance based production evaluation method, a novel series of aggregate indicators for evaluating environment amicableness of social production are proposed with detailed discussion. In empirical analysis, given carbon abatement and GDP growth target in 2020 as realistic production frontier, social environment-economy productivity is evaluated with normalized aggregate data series between 2005 and 2020, in which positive environmental output is given as compared to environmental output and GDP in 2005 while efficiency evaluation by extended Malmquist indices calculation. By international comparison with US, EU, Russia and India, certain differences are discussed in details between these countries and China for policy implication about social production adjustment of China. Complementally, by a multivariate trans-log regression model that incorporates industrial structure effect, it is reinforced that environment-friendly social production adjustment of China is in accord ance with development strategies of referred leading economies. Social productivity and its efficiency gaps between China and developed economies are shrinking significantly, while economic output-biased development in China will continue in certain period. Finally, policy implications are given about practical strategies of social production adjustment towards environmental amicableness.