International Competitiveness of Jilin Province Automobile Industry Based on Big Data and Low-Carbon Economy

Abstract

With the rapid development of economic globalization at this stage, the ecological environment of the earth has become one of the hot issues of global concern. As the largest developing country in the world, our country faces the highest carbon emissions and increase in the automotive industry. From the perspective of the integration of big data and low-carbon economy, the international competitiveness of the automobile industry in Jilin Province has also been continuously improved. Based on the situation in Jilin Province, this paper constructs a comprehensive carbon emission research framework suitable for the low-carbon economic automobile industry in Jilin Province. Through this framework, the automobile industry of our country’s Jilin Province can be improved internationally from the perspective of low-carbon economy. This article first analyzes and elaborates the theory of low-carbon concept, and through the theoretical research foundation of low-carbon economy, studies the theoretical foundation of Jilin Province’s automobile industry’s transition to low-carbon economy from the perspective of big data. Secondly, it analyzes the status quo of Jilin Province. Through the use of the extended model of kaya identity and the LMDI logarithmic decomposition method, based on the carbon emissions data of the automobile industry in Jilin Province from 2015 to 2020, the quantitative analysis of energy intensity and economic growth. The impact of five factors, including population, automobile industry structure and energy structure, on carbon emissions in Jilin Province from the perspective of low-carbon economy, will be studied in depth. Finally, the peak value of Tai emission in Jilin Province is calculated, the IPAT model is constructed using Eviews software, and the prediction formula of carbon emission is obtained. The value of carbon emission in Jilin Province is simulated by Matlab software and compared with foreign countries. The experimental research results show that the use of big data analysis technology for technological development in the automotive industry to achieve low-carbon economic development has greatly promoted the competitiveness of Jilin Province’s automotive industry in the international industry.