Can Industrial Correlation Reduce Carbon Emissions?—From the Perspective of the Correlation Between Producer Services and Manufacturing
Inter-industrial correlation is the key to regional economic development,and will bring about an increase in carbon emissions.Based on the contribution to high-tech information bearing and the supply and demand of intermediate goods,the producer service industry is divided into production service industry and innovative service industry.The effecting mechanism of the correlation between two types of service industry and manufacturing industry on carbon emission reduction is studied.And then,starting from the relationship between inter-industry supply and demand,the forward and backward impacts of these two types of service industries on the carbon emissions are further studied.It is found that,first of all,the correlation of production service industry and manufacturing industry and carbon emissions presents an inverted N-shaped relationship,while the correlation between innovation service industry and manufacturing industry and carbon emissions presents a U-shaped relationship.Secondly,the scale of energy consumption can inhibit the promoting effect of industry correlation on carbon emission reduction,and the structure of it will strengthen the promoting effect of industry correlation on carbon emission reduction.Considering the inter-industry supply and demand relationship,in the relationship between the forward correlation of production service industry and manufacturing industry and carbon emission,the inhibition of energy consumption scale and consumption structure is weaker.In the relationship between the backward correlation of innovative service industry and manufacturing industry and carbon emission,the inhibition of energy consumption structure is also weaker.Therefore,relevant policy suggestions are put forward to reach the turning point of carbon emissions as soon as possible in terms of promoting the coordinated development of diversified service industries.
NETL
NSTL
万方数据
