Abstract
Under the situation of global low-carbon development, the contradiction among energy consumption, economic growth, and CO2 emissions is increasingly prominent. Considering the possible two-way feedback among the three, based on the panel data of 30 regions in China from 2000 to 2017, this paper establishes a spatial Durbin model including economic growth, energy consumption equation, and CO2 emissions and studies the dynamic relationship and spatial spillover among economic growth, energy consumption, and CO2 emissions effects. The results show that the economic growth can significantly improve carbon dioxide emissions, and China’s economic growth level has become a positive driving force for carbon dioxide emissions. However, economic growth will not be significantly affected by the reduction of carbon dioxide emissions. There is a two-way relationship between energy consumption (ENC) and carbon dioxide emissions (CO2). Energy consumption and carbon emissions are interrelated, which has a negative spatial spillover effect on the carbon dioxide emissions of the surrounding provinces and cities.
Highlights
E research on the relationship between economic growth and carbon dioxide emission mainly focuses on testing the existence of “Environmental Kuznets hypothesis (EKC).” Many scholars, such as Schmalensee, omas, and Saboori, have verified the inverted U-shaped relationship between economic growth and carbon dioxide emissions, but in the existing literature, “Environmental Kuznets Curve (EKC) hypothesis” is often regarded as a phenomenon to be tested [1, 2]
It was found that in the long run, the relationship between economic growth and carbon dioxide emissions was inverted U-shaped, and economic growth promoted the increase of energy consumption, while the increase of energy consumption led to the increase of carbon dioxide emissions [10]
(2) From the spatial Durbin model (SDM) test results, we can see that energy consumption has a significant positive effect on carbon dioxide emissions in the region and a significant negative spatial spillover effect on carbon dioxide emissions in the surrounding provinces and cities
Summary
E research on the relationship between economic growth and carbon dioxide emission mainly focuses on testing the existence of “Environmental Kuznets hypothesis (EKC).” Many scholars, such as Schmalensee, omas, and Saboori, have verified the inverted U-shaped relationship between economic growth and carbon dioxide emissions, but in the existing literature, “EKC hypothesis” is often regarded as a phenomenon to be tested [1, 2]. E research on the relationship between economic growth and carbon dioxide emission mainly focuses on testing the existence of “Environmental Kuznets hypothesis (EKC).”. Based on the data of France from 1960 to 2000, Ang used cointegration analysis and error correction model (ECM) to test the relationship between economic growth, energy consumption, and carbon dioxide emissions. Apergis and Payne used VECM to study the relationship between economic growth, energy consumption, and carbon dioxide emissions in six Central American countries from 1971 to 2004 [11, 12]. Saboori et al studied the relationship between electricity consumption, economic growth, and carbon dioxide emissions of BRICS countries in 1990–2010 under the framework of panel causal analysis [14]. This paper chooses the relationship among China’s economic growth, energy consumption, and carbon emissions as the research topic, with a view to energy policy and the formulation of energy conservation and emission reduction policies can improve the reference to achieve a positive interaction among economic growth and energy conservation and emission reduction
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