Empirical Study on the Factors Influencing Carbon Emissions under China's Green Innovation

Shaocong Zhu ； Bingyun Zheng

《Frontiers in Economics and Management》 3卷7期 (2022/07) Pp. 60-73

https://doi.org/10.6981/FEM.202207_3(7).0008

摘要

It provides a reference for promoting China's carbon neutralization and development goals in the future stage and analyzing the influencing factors of carbon emissions. Using the cross-sectional data of 30 provinces, cities directly under the Central Government and autonomous regions (except the Tibet Autonomous Region) in 2019, the main component analysis method in multiple regression analysis is used to construct an evaluation index system of factors influencing carbon emissions, and the main component-DEA model is used to measure the main component after regression analysis as the input index green innovation efficiency. The study found that except for the fulltime equivalent of R&D personnel, the licensing of green inventions and forest cover, all other explanatory variables have a positive impact on the carbon emissions of the interpreted variables. In 2019, there were 2 decision-making units with a green innovation efficiency of 1, accounting for 6.7%, achieving effective DEA; 11 decision-making units with a comprehensive efficiency of more than 0.6, accounting for 36.7%, and the remaining 63.3% of the green innovation development of provinces have great room for improvement. According to the research results, targeted countermeasures and measures are put forward to provide suggestions for China's carbon neutrality work.

關鍵字

Carbon Emissions ； Principal Component Analysis ； DEA-CCR Model ； Green Innovation Efficiency

參考文獻

PORTER M E, LINDE C V D. Toward a New Conception of the Environment Competitiveness Relationship[J]. Journal of Economic Perspectives,vol.9(1995)NO.04,p.97-118.

Bi K X,Huang P,Wang X. Innovation Performance and Influencing Factors of Low-carbon Technological Innovation under the Global Value Chain: A Case of Chinese Manufacturing Industry[J].Technological Forecasting and Social Change,vol.(2016)NO.111,p.275-284.

Hotelling, Harold, Analysis of a Complex of Statistical Variables into Principal Components[J]. Educ. Psychol,vol.(1933)NO.24,p. 417–441, 498–520.

Charnes, A, W.W. Cooper and E Rhodes, Measuring the Efficiency of Decision-Making Units[J]. European Journal of Operational Research,vol.(1978)NO.56,p.429–444.

T.Q. Wang,X.H. Wang,S.C. Peng.Review of Factors Affecting Carbon Emissions and Decoupling Analysis [J]. Environmental Protection and Circular Economy, vol.40(2020)NO.09,p.4-6+28.