Research on Mechanism of Carbon Emission from Energy Consumption and Green Innovation Efficiency in Dynamic Endogenous Perspective Based on Chinese Equipment Manufacturing Industries

Abstract

Abstract:

This paper analyzes the green innovation efficiency of Chinese equipment manufacturing industries by SBM Super-efficiency Model with panel data. The PVAR model is constructed from the dynamic endogenous perspective and the relationship between carbon emissions from energy consumption and green innovation efficiency is analyzed empirically by the impulse response function and variance decomposition method. The research shows that:the average efficiency of green innovation is 0.983 during the sample period, and there is room for improvement. Long term co-integration relationship exists between carbon emissions of natural gas, coal, crude oil and green innovation efficiency. There is no significant interaction between coal carbon emissions and green innovation efficiency. Carbon emissions from natural gas have negative effects on green innovation efficiency, and carbon emissions from coal and crude oil have positive effects on green innovation efficiency in long term. Green innovation efficiency suppresses carbon emissions from crude oil, but promotes carbon emissions from coal and natural gas in short term.

Key words: carbon emission, green innovation efficiency, super efficiency SBM, PVAR model

Xu Jianzhong, Wang Manman, Guan Jun. Research on Mechanism of Carbon Emission from Energy Consumption and Green Innovation Efficiency in Dynamic Endogenous Perspective Based on Chinese Equipment Manufacturing Industries[J]. , 2019, 31(9): 81-93.

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