Study for the Carbon Emission Influencing Factors of China Based on Random Forest Model

Jinjin Yang ()
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Jinjin Yang: China University of Petroleum (Beijing), College of Management and Economics

A chapter in Proceedings of the 2022 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022), 2022, pp 989-994 from Springer

Abstract: ABSTRACT In order to cope with global climate change and achieve the goal of sustainable development, low-carbon economy has become a new economic development trend. Carbon emissions, as an important indicator of the level of low-carbon economy, are affected by many factors. Therefore, this paper first analyzes the importance of several influencing factors affecting carbon emissions by using random forest regression model, and then proposes to use the number of scientific and technological journals as an indicator to measure the progress of science and technology, and introduces it into the quantitative analysis of the impact factors for characteristic importance analysis. The results show that compared with the growth of forest area and the change in the proportion of energy consumption of new energy sources, the effect of scientific and technological progress on energy conservation and emission reduction is more significant. Based on the analysis of the results, this paper finally provides some inspiration and suggestions for future policy formulation and economic development.

Keywords: Carbon emission; Random forest model; Scientific and technological progress; Low-carbon economy (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-036-7_145

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DOI: 10.2991/978-94-6463-036-7_145

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