Renewable Energy Green Innovation, Fossil Energy Consumption, and Air Pollution—Spatial Empirical Analysis Based on China

Abstract

Excessive consumption of traditional fossil energy has led to more serious global air pollution. This article incorporates renewable energy green innovation (REGI), fossil energy consumption (FEC), and air pollution into a unified analysis framework. Using China’s provincial panel data, a spatial measurement model was used to investigate the spatial effects of renewable energy green innovation and fossil energy consumption on air pollution in China from 2011 to 2017. The global Moran index shows that over time, the spatial correlation of air pollution has gradually weakened, while the global correlation of renewable energy green innovation and fossil energy consumption is increasing year by year. ArcGIS visualization and partial Moran index show that air pollution, renewable energy green innovation, and fossil energy consumption are extremely uneven in geographic space. The spatial distribution of air pollution, renewable energy green innovations, and fossil energy consumption are all characterized by high in the east and low in the west and they all show a strong spatial aggregation. Applying the spatial adjacency matrix to the spatial Durbin model gave the results that China’s air pollution has a significant spatial spillover effect. Replacing fossil fuels with clean renewable energy will reduce air pollutant emissions. The Environment Kuznets Curve (EKC) hypothesis has not been supported and verified in China. The partial differential method test found that the spatial spillover benefits can be decomposed into direct effects and indirect effects. The direct and indirect effects of renewable energy green innovation on air pollution are both significantly negative, indicating that green innovation of renewable energy not only inhibits local air pollution, but also inhibits air pollution in nearby areas. The consumption of fossil energy will significantly increase the local air pollution, while the impact of sulfur dioxide (SO2) and soot (DS) pollution in nearby areas is not obvious. It is recommended to increase investment in renewable energy green innovation, reduce the proportion of traditional fossil energy consumption, and pay attention to the spatial connection and overflow of renewable energy green innovation and air pollution.

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“…In recent years, with its rapid economic development, China's energy consumption has been rising quickly. As a result, air pollution has become a serious problem (Shen et al, 2020). Jiang et al (2019) note that coal use, population, area, and thermal power can significantly increase national air pollution.…”

“…(Nawaz et al, 2020;Umar et al, 2020). Shen et al (2020) noted that China's air pollution mainly comes from its large consumption of fossil energy, such as coal and fuel oil. Previous studies also find that both international export and interprovincial trade exacerbate the health burdens of air pollution in China's less developed interior provinces (Wang et al, 2017).…”

“…who believes that reduce oil dependence and renewable energy development are very important to alleviate environmental pressures in China. In addition,Shen et al (2020) also point out that reducing the proportion of traditional fossil energy consumption and increasing investment in renewable energy are important for air quality improvement.…”

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