Carbon Emission and Economic Growth Model of Beijing Based on Symbolic Regression
Lei Wen, Qiao Li, Yue Li, Zeyang Ma
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Department of Economics and Management, North China Electric Power University,
Baoding, Hebei 071003, China
Online publish date: 2017-10-31
Publish date: 2018-01-02
Submission date: 2017-02-28
Final revision date: 2017-04-19
Acceptance date: 2017-05-28
Pol. J. Environ. Stud. 2018;27(1):365–372
With the continuous improvement of the economy, more and more attention has been paid to environmental problems. Beijing is China’s economic, political, and cultural center, and its low-carbon development by external concerns. In this paper, the relationship between economic development and environmental pollution is analyzed by using the symbolic regression method, which is based on the data of per capita CO2 emissions, total energy consumption, energy intensity, and per capita GDP in Beijing city during 1980-2015. The study found that the presence of the M-curve model between per capita CO2 emissions and per capita GDP, total energy consumption, and per capita GDP are in line with the traditional model of the EKC curve, and that the L-curve model exists between the energy intensity and per capita GDP, respectively, with promising performance. Based on our analysis, we present policy suggestions for reducing carbon emissions and developing a low-carbon economy in Beijing.