The low carbon development, industrial structural optimization and upgrade of JJJ as a national key strategy region plays a key role in China's low carbon industrial development, carbon emission reduction performance of sectors is of significance for regional carbon emission reduction. Dynamic panel GMM model and VAR model are used to analyze the impacts of JJJ industrial structural rationalization and optimization on carbon emission, and multiple-formula-linked regression is applied to logical causality and short-term shock effects of related economy variables. Results show carbon emission can be reduced upon JJJ industrial structural optimization and rationalization, although varying with localities. This paper offers suggestions on carbon emission reduction according to the impacts of JJJ industrial structural optimization on carbon emission.

Coal as China's energy security cornerstone plays a key role in economy along with its radiation to correlated industries. This paper uses nations input/output 2002 to 2015 to dynamically analyze the radiation effect between coal industry and its correlated industries. The price model established on input/output table indicates a radiation of coal industry on its correlated industries, with four largely impacted sectors supply and production of electricity and heating, metallurgy and processing, chemicals and industrial minerals on their close economic dependence but a unstable industrial correlation, induction more than influence. The stated-above industries are sensitive to coal price change, especially the electricity and heating production and supply, with sensitiveness up to 0.0029. Diversified suggestions are presented for coal-electricity coalition, coal-steel coalition, coal-chemicals coalition and fossil energy-new energy coalition.