A study on China’s economic growth, green energy technology, and carbon emissions based on the Kuznets curve (EKC)

Sun, Yu; Li, Mingxing; Zhang, Mengjuan; Khan, Hira; Li, Jiaqiu; Li, Zeyu; Sun, Hongzheng; Zhu, Yiqun; Anaba, Oswin Aganda

doi:10.1007/s11356-020-11019-0

Cited by 109 publications

(46 citation statements)

References 20 publications

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“…For China, economic growth will undoubtedly bring about environmental improvement to a certain extent, requiring changes in energy use brought by technological innovation such as solar energy to achieve ecological friendliness. However, the current dependence on non-renewable energy is too impregnable, so in Chinese future energy structure planning, by 2040, electricity must surpass coal and oil to become the primary energy source in China (Jiang et al 2021a ; Sun et al 2021 ).…”

Section: Literature Review and Hypothesismentioning

confidence: 99%

Crude oil price uncertainty and corporate carbon emissions

Wei

Ren

et al. 2021

Environ Sci Pollut Res

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Low-carbon transformation has become a key priority in China, as demonstrated in the implementation of the Carbon Peak, Carbon Neutralization policy, leading to increasing concern of environmental performance at the corporate level. This paper measures the carbon emission of 1,089 Chinese companies through the EIO-LCA-based approach. Then we examine the impacts of international crude oil price fluctuations and the corporate development level on carbon emissions of individual companies. Our results indicate that an increase in international crude oil price uncertainty could inhibit the company’s carbon emission. In parallel, we find that there might exist an environmental Kuznets curve (EKC) inverted U-shaped correlation between the company’s development level and its environmental performance. However, some exceptions to corporate carbon performance may emerge, resulting from specific corporate characteristics such as the state-owned nature and whether the firm is listed on the stock exchange. Our results could help companies optimize their internal carbon emission structure during the low-carbon transition process and contribute to effective policy regulations towards the target of carbon reduction.

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Section: Literature Review and Hypothesismentioning

confidence: 99%

Crude oil price uncertainty and corporate carbon emissions

Wei

Ren

et al. 2021

Environ Sci Pollut Res

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“…When Balado-Naves et al [ 22 ] studied the relationship between carbon dioxide emissions and economic growth, the control variables included renewable energy, the added value of tertiary industry, energy intensity, and technological progress. When Sun et al [ 23 ] studied the relationship between China’s economic growth and carbon emissions, they introduced the indicator of solar energy technology. Based on previous studies and taking into account the data relevance and availability at the city level, industrialization, technological investment, green coverage, transportation development, natural gas consumption, and residential natural gas consumption are the control variables of this study.…”

Section: Methodsmentioning

confidence: 99%

EKC Test of the Relationship between Nitrogen Dioxide Pollution and Economic Growth—A Spatial Econometric Analysis Based on Chinese City Data

Han

Yang

2021

IJERPH

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During the just concluded 13th Five-Year Plan, China continued to maintain the momentum of rapid economic development, but still faced environmental pollution problems caused by this. Finding the relationship between Nitrogen Dioxide pollution and economic development is helpful and significant in better achieving and optimizing sustainable environmental development. Taking China’s 333 prefecture-level cities as samples from 2016 to 2018, the spatial lag model (SAR) was used to study the impact of economic growth on urban Nitrogen Dioxide pollution. The results show that Nitrogen Dioxide has strong positive characteristics of spatial spillover, but there is a linear relationship between economic growth and Nitrogen Dioxide concentration that slowly rises, and there is no inverted U-shaped relationship, which does not support the Environmental Kuznets Curve (EKC) hypothesis; The results also show the impact of per capita GDP, natural gas consumption, residential natural gas consumption, industrialization, and transportation development on the increase of Nitrogen Dioxide concentration, and the impact of green coverage on the decrease of Nitrogen Dioxide concentration. However, there is no significant relationship between technological investment and Nitrogen Dioxide concentration. The above conclusions are still valid after the robustness test, and recommendations are put forward to reduce Nitrogen Dioxide pollution.

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“…As for industrial development, the proportion of high energy-consumption sector CE to total industrial emissions is steadily increasing in China [36], and the adjustment of industrial structure is an effective way to reduce CE [37]. With the development of technology, the application of green energy technology can effectively reduce emissions [38]. In the selected G20 countries, innovation has also been proven to have a negative relationship with CE [39].…”

Section: Estimated Modelmentioning

confidence: 99%

Exploring the Impact of International Trade on Carbon Emissions: New Evidence from China’s 282 Cities

Wang

2021

Sustainability

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Carbon emissions (CE) reduction has been an important measure to control global warming. With the deepening of internationalization, the import and export trade can have a significant influence on CE. In this study, the panel data of 282 cities in China from 2003 to 2016 were employed, and linear regression analysis with fixed effects, feasible generalized least squares and Driscoll–Kraay estimators were performed to assess the separate impacts of import and export trade on CE. The results show that there is a positive correlation between imports and CE, while the relationship is contrary for exports. The panel threshold regression method was further used for regression, and it found that there was one threshold value for gross domestic product (GDP) and two threshold values for gross industrial output (GIO) in the model. According to the division of threshold value, the impact of import trade on CE will turn from positive to negative, while the impact of export trade on reducing CE will be further enhanced. The structure of China’s import and export trade are used to illustrate the underlying mechanism of the different effects. For controlling CE in international trade, China should import more high-tech products to upgrade high-emission industries, and reduce the proportion of labor-intensive products exported.

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A study on China’s economic growth, green energy technology, and carbon emissions based on the Kuznets curve (EKC)

Cited by 109 publications

References 20 publications

Crude oil price uncertainty and corporate carbon emissions

Crude oil price uncertainty and corporate carbon emissions

EKC Test of the Relationship between Nitrogen Dioxide Pollution and Economic Growth—A Spatial Econometric Analysis Based on Chinese City Data

Exploring the Impact of International Trade on Carbon Emissions: New Evidence from China’s 282 Cities

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