Analysis of Influential Factors of Low-Carbon Economy in Heilongjiang Province Based on the Principal Component Analysis Method
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DOI: 10.25236/ieesasm.2024.017
Corresponding Author
Feifan Sun
Abstract
Realizing carbon peak carbon neutrality is an inherent requirement for promoting high-quality development, and in the face of global climate change challenges, the development of a low-carbon economy has become a key strategy. As a key forest area, Heilongjiang Province still faces many challenges in low-carbon transformation. In this paper, by constructing the evaluation model of the level of low-carbon economic development, 4 secondary indicators and 16 tertiary indicators were constructed, followed by the use of Pearson coefficient correlation, which eliminated the explanatory variables that had little influence on the explanatory variables, and then the use of principal component analysis, which reduced the 13 explanatory variables into two principal components. It was found that education expenditure, gross regional product, urban sewage treatment rate and the number of public transportation vehicles per 10,000 people in the city were important influences on the low carbon economy. In response to these concerns, suggestions are made to optimize the industrial energy structure, encourage low-carbon technological innovation, formulate low-carbon development policies, and enhance public awareness of low-carbon.
Keywords
Low-carbon economy, Influencing factors, Pearson coefficient correlation, Principal component analysis, Heilongjiang Province