Research on the relationship between China’s greenhouse gas emissions and industrial structure and economic growth from the perspective of energy consumption

Zhang, Ziyan; Ma, Xiaojun; Lian, Xinyan; Guo, Yishan; Yan-qi, Song; Chang, Baishu; Luo, Ling

doi:10.1007/s11356-020-10091-w

Cited by 21 publications

(9 citation statements)

References 39 publications

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“…This undoubtedly increases the cost of participation for financial consumers to learn and master financial instruments. Moreover, it is easy to buy financial products that they do not need, which brings unnecessary waste of funds to small innovative enterprises, which will hinder the improvement of energy efficiency (Zhang et al 2020a , b ). Even with the rapid development of digital finance, and even if the technology advances rapidly, energy efficiency will not be improved.…”

Section: Literature Review and Research Hypothesismentioning

confidence: 99%

“…Since the reform and opening up, China’s economy has shown a sustained and rapid growth trend. However, behind the “miracle of economic growth” are the cost of environmental damage and a waste of resources (Zhang et al 2020a , b ). The Fifth Plenary Session of the 19th Central Committee of the Communist Party of China clearly proposed to “comprehensively improve the efficiency of resource utilization”.…”

Section: Introductionmentioning

confidence: 99%

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Impact of digital finance on energy efficiency: empirical findings from China

Zhou

Liu

et al. 2022

Environ Sci Pollut Res

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The world is facing the problem of resource scarcity and environmental degradation. Improving energy efficiency is an effective way to reduce energy consumption and reduce pollutant emissions. Based on relevant data from 30 Chinese provinces from 2011 to 2019, this paper constructs energy efficiency indicators by establishing a super-efficient three-stage SBM-DEA model. It explores the impact of digital finance on energy efficiency using a systematic generalized moment estimation method and constructs an analytical framework for the impact of digital inclusive finance on energy efficiency from the breadth of coverage, depth of use, and degree of digitization of digital inclusive finance. In addition, this paper examines the differences in the impact of digital inclusive finance on energy efficiency from a sub-regional perspective. Research indicates the following: (1) At the national level, the relationship between digital inclusive finance development and energy efficiency in China shows an inverted “U”-shape; the breadth of digital financial coverage, the use of digital insurance services and digital credit services, and the degree of digitalization of digital finance all have significant effects on energy efficiency. (2) From a regional perspective, the impact of digital inclusive finance on energy efficiency has regional heterogeneity. Based on this finding, first, the government should speed up the construction of digital financial infrastructure to promote the further development of digital finance. Second, the government should take appropriate measures to regulate industry giants. Third, the government should adjust measures to local conditions when formulating policies. The above research has certain implications for improving the targeting of digital finance–related policies and promoting the high-quality development of China’s economy.

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Section: Literature Review and Research Hypothesismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impact of digital finance on energy efficiency: empirical findings from China

Zhou

Liu

et al. 2022

Environ Sci Pollut Res

View full text Add to dashboard Cite

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“…Their results echoes previous findings on the favorable impacts of renewable energy on emission reduction. Zhang et al [19] applied the PLS approach and Tapio decoupling to analyze the decoupling status of economic growth from greenhouse gas emissions, and found that for CO 2 , CH 4 , and N 2 O, only N 2 O emission showed a significant decoupling trend, while CO 2 and CH 4 emissions showed a slow decoupling trend. Similar outcomes were found by Kirikkaleli [20].…”

Section: Literature Reviewmentioning

confidence: 99%

Decoupling Analysis of Greenhouse Gas Emissions from Economic Growth: A Case Study of Tunisia

2021

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The study examined the impact of different factors on greenhouse gas (GHG) emissions, by applying the extended STIRPAT model and decoupling analysis for Tunisia for the period 1990–2018. Furthermore, the study utilizes Tapio decoupling model, and the Auto-Regressive Distributed Lag (ARDL) bounds test approach to examine the relationship between the variables of greenhouse gas (GHG) emissions, economic growth, energy consumption, urbanization, innovation, and trade openness. The findings validated an inverted U-shape relationship between GDP and GHG emissions. In addition, we find that the consumption of renewable energy contributes to the reduction of GHG emissions in the long run. The findings call authority for the adaption of the regulatory framework relating to energy management, energy efficiency and the development of renewable energies, as well as to initiate energy market reforms, implement mitigation strategies and encourage investments in clean energies.

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“…2) Carbon Emissions (CE). At present, the global warming and environmental pollution caused by excessive emissions of greenhouse gases (e.g., carbon dioxide) have become one of the serious problems faced by humanity (Akhmat et al, 2014;Dilmore and Zhang, 2018;Zhang et al, 2020) and one of the important driving factors for the rise of new energy industry (Ren et al, 2015;Fang et al, 2020;Wang, 2020). Carbon emission data are measured by carbon dioxide emission data in China.…”

Section: Internal Energy Price Relative Indexmentioning

confidence: 99%

Influencing Factors of New Energy Development in China: Based on ARDL Cointegration and Granger Causality Analysis

2021

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The development and competition of the new energy industry will become an important battlefield of a new round of technological and industrial competition. This study use the annual data from 1990 to 2019 to understand the factors affecting the development of new energy development in China by examining the long-run and causal relationship among the proportion of new energy consumption, energy prices, carbon emissions, industrial structure, economic growth, and new energy power generation in a multivariate model for China. The findings indicate that in the long run, new energy generation is positively linked with new energy consumption, whereas energy prices and carbon emissions have a negative and significant impact on new energy consumption. In the short run, economic growth can promote the growth of new energy consumption. However, this positive effect is gradually formed and is unlikely to happen soon. However, whether the impact of industrial structure optimization on new energy consumption is a long- or short-run estimate is not significant. Causality results suggest that a one-way Granger causality exists between each factor and new energy consumption in different lag orders, except for industrial structure. Re-examining the energy price mechanism and carbon emission mechanism policy, maintaining stable GDP growth, increasing the installed capacity of new energy power generation, and improving power generation conversion efficiency are vital for ensuring new energy development.

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Research on the relationship between China’s greenhouse gas emissions and industrial structure and economic growth from the perspective of energy consumption

Cited by 21 publications

References 39 publications

Impact of digital finance on energy efficiency: empirical findings from China

Impact of digital finance on energy efficiency: empirical findings from China

Decoupling Analysis of Greenhouse Gas Emissions from Economic Growth: A Case Study of Tunisia

Influencing Factors of New Energy Development in China: Based on ARDL Cointegration and Granger Causality Analysis

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