Industrial activity, energy structure, and environmental pollution in China

Chen, Lei; Li, Ke; Chen, Shuying; Wang, Xiaofei; Tang, Liwei

doi:10.1016/j.eneco.2021.105633

Cited by 73 publications

(21 citation statements)

References 56 publications

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“…(2) Research on the green and low-carbon transformation of the manufacturing industry. The essence of green, low-carbon transformation is harnessing the green, low-carbon economy and high-quality development to achieve sustainable development by saving resources, reducing pollution, and improving production efficiency [ 13 ]. Academics mostly determine research methods, indicators, and scales according to the characteristics and perspectives of their respective research fields to measure the efficiency of green transformation in manufacturing and identify the influencing factors [ 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

An Empirical Analysis of the Impact of Digital Economy on Manufacturing Green and Low-Carbon Transformation under the Dual-Carbon Background in China

Zhang

Zhou

Chen

et al. 2022

IJERPH

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The deep integration of digital economy and green development has become an inevitable requirement and an important aid in achieving the goal of carbon peaking and carbon neutrality and promoting high-quality economic development. At the same time, the manufacturing industry is the main sector of energy consumption and carbon emissions in China and the main force for achieving the carbon peaking and carbon neutrality goals. This paper constructs a mathematical model to measure the scale of the digital economy development and the efficiency of the green, low-carbon transformation of the manufacturing industry. It builds a panel data model to study the effect of the development of the digital economy on the green, low-carbon transformation of the manufacturing industry based on data of 30 Chinese provinces from 2016 to 2020. The results find that (1) there is a significant positive effect of the digital economy on the green, low-carbon transformation of the manufacturing industry, with an impact coefficient of 0.477, and this finding remains significant in the robustness test. (2) A further test of the mediating effect finds that the digital economy can drive the green, low-carbon transformation of the manufacturing industry by enhancing technological innovation, and it shows a partial mediating effect that accounts for 28% of the total effect. (3) In the regional heterogeneity analysis, it is found that the effect of the digital economy in promoting manufacturing transformation is more prominent in the central region, and the impact coefficients are 0.684, 0.806, 0.340, and 0.392 for the east, central, west, and northeast regions, respectively. This study can provide a theoretical basis and policy support for governments and enterprises.

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Section: Introductionmentioning

confidence: 99%

An Empirical Analysis of the Impact of Digital Economy on Manufacturing Green and Low-Carbon Transformation under the Dual-Carbon Background in China

Zhang

Zhou

Chen

et al. 2022

IJERPH

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“…Other research has also found that industrial structure supererogation and environmental pollution are negatively or nonlinearly related [21]. With regard to the relationship of digital technology, industrial structure supererogation and environmental pollution, Chen et al pointed out that technological innovation can improve industrial energy efficiency and significantly reduce pollution emissions [22]. Huang et al claimed that technology innovation has a strong positive effect on industrial structure upgrading, and industrial structuring has always demonstrated a positive effect on ecological efficiency [23].…”

Section: Literature Reviewmentioning

confidence: 99%

Digital economy and pollution reduction–Mechanism and regional heterogeneity

Yang

Chen

2023

PLoS ONE

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The digital economy and ecological environment are two major issues related to high-quality economic development. Scholars have not yet reached a unified conclusion about the link between the digital economy and pollution emissions, and the impact mechanism of the former on the latter needs further study. Using data from 278 Chinese cities from 2010 to 2019, this research employs coupling coordination analysis, fixed effect analysis and mediation analysis to examine the heterogeneous impact mechanisms of the expansion of the digital economy on urban pollution reduction from many angles. It discovers that, first, the growth of the digital economy has decreased the discharge of urban pollutants overall. Second, the impact mechanisms of the digital economy are heterogeneous. From a regional perspective, industrial structure supererogation plays an intermediary role in the relationship between digital economy development and pollution reduction in the eastern and central regions, but the mediating effect is not significant in the western and northeastern regions. In terms of the city development level, industrial structure supererogation has significantly mediated the relationship between the growth of the digital economy and the reduction of pollution in first- and second-tier cities, but this mediating effect is not significant in third-tier and other cities. Third, the above conclusions are still valid after the robustness test is carried out using instrumental variable estimation, replacement of the estimation method, and replacement of explanatory variables. This study is a useful contribution to research on the effects of the digital economy and the factors influencing pollution reduction. The results advance the study of the digital economy and also have practical implications for improving China’s ecological environment and fostering high-quality economic growth. Finally, we provide policy suggestions for the coordinated promotion of the digital economy’s development, industrial structure supererogation and environmental pollution reduction.

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“…Some of these severe harms include global warming (Klein & Anderegg, 2021;Liu et al, 2021), increasing environmental pollution (Chen et al, 2021;Ibrahim & Vo, 2021), and declining plant and animal species (Brei et al, 2016;Piqueray et al, 2011). Unfortunately, different countries worldwide have been involved in these incidents.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In the last two decades, consumers of products and services worldwide have increased dramatically, leading to the depletion of natural resources and severe environmental damage (A. Khan et al, 2021). Some of these severe harms include global warming (Klein & Anderegg, 2021; Liu et al, 2021), increasing environmental pollution (Chen et al, 2021; Ibrahim & Vo, 2021), and declining plant and animal species (Brei et al, 2016; Piqueray et al, 2011). Unfortunately, different countries worldwide have been involved in these incidents.…”

Section: Literature Reviewmentioning

confidence: 99%

Environmental sustainable development through modeling and ranking of influential factors of reference groups on consumer behavior of green products: The case of Iran

Sobhanifard

Apourvari

2022

Sustainable Development

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This study aims to extract, model, and rank reference groups on green consumer behavior to achieve environmentally sustainable development. This research was conducted in Iran in four stages. In the first stage, thematic factors were extracted through the research literature. These factors were expressed in 26 factors using expert opinions. A questionnaire containing 26 factors affecting the subject was

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Industrial activity, energy structure, and environmental pollution in China

Cited by 73 publications

References 56 publications

An Empirical Analysis of the Impact of Digital Economy on Manufacturing Green and Low-Carbon Transformation under the Dual-Carbon Background in China

An Empirical Analysis of the Impact of Digital Economy on Manufacturing Green and Low-Carbon Transformation under the Dual-Carbon Background in China

Digital economy and pollution reduction–Mechanism and regional heterogeneity

Environmental sustainable development through modeling and ranking of influential factors of reference groups on consumer behavior of green products: The case of Iran

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