Quantifying the synergy and trade-offs among economy–energy–environment–social targets: A perspective of industrial restructuring

Zhang, Shuo; Yu, Yadong; Kharrazi, Ali; Ren, Hongbo; Ma, Tieju

doi:10.1016/j.jenvman.2022.115285

Cited by 20 publications

(7 citation statements)

References 67 publications

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“…IESs are based on energy restructuring, and IESs implication requires balance among interlinked energy restructuring [ 7 , 8 ]. While IESs are closely linked with energy restructuring, the transformation or improvement of energy structure cannot be effectively regulated by the market economy alone and must rely on active government participation.…”

Section: Literature Reviewmentioning

confidence: 99%

Industrial policies of integrated energy services in China: A perspective of qualitative analysis

Huang,

Zhang,

et al. 2023

Heliyon

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Section: Literature Reviewmentioning

confidence: 99%

Industrial policies of integrated energy services in China: A perspective of qualitative analysis

Huang,

Zhang,

et al. 2023

Heliyon

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“…Previous studies show that the interaction of economy-energyenvironment can be divided into positive and negative aspects. [35][36][37][38][39][40] In this study, based on the references of previous studies, a cycle model in line with regional characteristics was constructed and recognized by relevant experts at Nanjing University of Posts and Telecommunications.…”

Section: Model Causal Feedback Loopmentioning

confidence: 99%

A simulation study of an innovation‐driven sustainable development model and its impacts and applications: A case study of the Yangtze River Economic Belt

Wang

2022

Env Prog and Sustain Energy

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The economic development process is accompanied by energy consumption and environmental pollution, difficulties which must be overcome to realize sustainable development. A system dynamics model is constructed to simulate the pattern characteristics of an innovation-driven coupling system scenario for economic development, energy consumption and environmental pollution in the Yangtze River Economic Belt. Then, the impulse response relationship between technological progress and economic, energy and environmental system indexes is further explored by using a vector autoregression (VAR) model. The results show that (1) the model is suitable for predictive analysis. (2) Adjusting the model parameters shows that the innovation-driven development mode is the optimal sustainable development mode of the Yangtze River Economic Belt. (3) VAR model analysis shows that technological progress has a significant long-term positive impact on the economic development system index, and the growth of primary industry is the most significant. Technological progress has a significant long-term inhibition effect on energy consumption and environmental pollution system indicators, among which the inhibition effect on wastewater discharge and power consumption is the strongest. Finally, suggestions are proposed to increase investment in agricultural technology, smart countryside, and wastewater treatment.

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“…According to Ouyang et al (2022) [29], GI would be significantly impacted in a U-shaped curve by the strategic synergy of local and community environmental regulation. From the perspective of industrial structure, [30] explored the quantification of synergy of economic, energy, environmental, and social objectives. He et al (2023) [31] adopted a synergy model to evaluate the synergy of regional carbon and pollution reduction and discovered that green finance policies can help to strengthen this synergy.…”

Section: Introductionmentioning

confidence: 99%

Green finance and the synergy of ESGGI performance of Chinese companies: Does green concern matter?

Liu,

Song

2023

PLoS ONE

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This study aims to investigate green finance’s impact on the synergy between ESG and green innovation (ESGGI) performance and examine the potential influence played by stakeholders’ green concerns on this impact. Hence, we calculated the synergy of ESGGI performance based on the entropy method and the coupled coordination degree model and conducted regression analyses on the data of 1143 Chinese companies from 2012 to 2020. The results reveal a remarkable inverted U-shaped relationship between green finance and the synergy of ESGGI performance. Additionally, the green concerns of the government and the media can efficiently moderate green finance’s impact on the synergy of ESGGI performance. Further tests show that green finance’s impact on the synergy of ESGGI performance of SOEs, HPEs, and HTEs is more significant. This paper demonstrates an association between green finance and the synergy of ESGGI performance, which yields new insights for companies to implement green transformation and sustainable development.

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Quantifying the synergy and trade-offs among economy–energy–environment–social targets: A perspective of industrial restructuring

Cited by 20 publications

References 67 publications

Industrial policies of integrated energy services in China: A perspective of qualitative analysis

Industrial policies of integrated energy services in China: A perspective of qualitative analysis

A simulation study of an innovation‐driven sustainable development model and its impacts and applications: A case study of the Yangtze River Economic Belt

Green finance and the synergy of ESGGI performance of Chinese companies: Does green concern matter?

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