Research on Influence Factors of Low-carbon Economy Based on Principal Component Analysis (Taking Beijing as an Example)

Abstract

It is of great significance to identify the influence factors of low-carbon economy in Beijing. In view of this, this paper proposes an analysis model of influence factors of low-carbon economy in Beijing based on principal component analysis method. Firstly, from the perspective of influencing the development of low-carbon economy, the index of influencing factors of Beijing's low-carbon economy is initially selected, and then Pearson correlation coefficient is used to screen the indicators. Finally, the index system of influence factors of Beijing's low-carbon economy is constructed by the principal component analysis method. Coal consumption and per capita GDP are the key factors affecting the low-carbon economy of Beijing. The daily sewage treatment capacity and the total sown area of crops are the major factors affecting the low-carbon economy of Beijing.