Research on the Sustainable Development of an Economic-Energy-Environment (3E) System Based on System Dynamics (SD): A Case Study of the Beijing-Tianjin-Hebei Region in China

Zuo, Yi; Shi, Yangyang; Zhang, Yuzhuo

doi:10.3390/su9101727

Cited by 44 publications

(11 citation statements)

References 32 publications

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“…In recent years, some researches also confirmed the above findings (Finkelman & Tian, 2018;Sun, Wang, Wei, Li, & Liu, 2016). In order to achieve sustainable development of 3E system, it must be enforced to change coal-based energy consumption structure (Zuo, Shi, & Zhang, 2017). Due to the efforts in recent years, especially implementation of China's "Air Pollution Prevention and Control Action Plan" and implementation of ultra-low emission standards for atmospheric pollutants, environmental system has been significantly improved.…”

Section: The Evaluation Of 3e Systemmentioning

confidence: 81%

Evaluation and countermeasures of sustainable development for urban energy‐economy‐environment system: A case study of Jinan in China

Wang

Qian

et al. 2020

Sustainable Development

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The coordinated development of urban energy-economy-environment (3E) systems is an inherent requirement for high-quality and sustainable development of cities. Circulation degree and sustainable development degree (SDD) are combined to the previous 3E system evaluation system to construct the integrated sustainable development evaluation model. This model realizes the accurate evaluation of different dimensions of 3E system. Jinan, the capital city of Shandong Province in eastern China, is selected for empirical analysis. Findings show that development degree, circulation degree, and SDD of the 3E system in Jinan are increasing basically, and temporal trend of development degree and SDD of 3E system is synchronized. This shows that 3E system in Jinan has been improved gradually during this period, and the development of 3E system is a key factor affecting its sustainability. In 2015-2017, circulation degree and SDD were superimposed and developed in parallel, indicating that Jinan has entered the primary stage of high-quality development. The obstacle degree model is introduced to explore the main factors that impede the sustainable development of 3E system in Jinan. This study revealed that the energy consumption structure, the proportion of new energy utilization, the development of tertiary industry, and water resources protection are the key issues that should be addressed in the sustainable development of 3E system in Jinan. The top-level design concerning these issues should be highlighted in the forthcoming 14th five-year plan period.

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Section: The Evaluation Of 3e Systemmentioning

confidence: 81%

Evaluation and countermeasures of sustainable development for urban energy‐economy‐environment system: A case study of Jinan in China

Wang

Qian

et al. 2020

Sustainable Development

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“…Kun et al used the coupling coordination index to evaluate the coordination between regional water and soil resources and ecological environment systems [30]. In the study of the coordination between economy and environment with the coupling model, many scholars further put forward that the coordinated development between economy and environment is a necessary condition for achieving sustainable development [31][32][33][34].…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis on the Mechanism and Influencing Factors of the Coordinated Development of Economy and Environment in China’s Resource-Based Cities

et al. 2022

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In order to explore how to achieve the coordinated development of the economy and environment, this paper uses the logistic model to verify that the city economy and the environment can achieve coordinated symbiosis. Next, an evaluation index system was used as empirical testing in order to measure the performance of the economy and environment. Further, the degree of coupling and coordination between them was obtained, and an econometric model was used to find the factors that affect the coordination and symbiosis between them. Finally, the following conclusions were obtained: (1) Resource-based cities of different development types do not show obvious differences in environmental carrying capacity and are basically at a medium carrying capacity level. (2) The level of the economic strength of resource-based cities is constantly improving, although with short-term fluctuations but with a general pace of improvement. (3) The synergy between economy and environment in resource-based cities is not high that the environment lags behind obviously. (4) The factors affecting the coordinated development of the environment and economy of resource-based cities are the annual average population and industrial wastewater discharge, which are contributing to the coordinated development of the economy and environment in resource-based cities. At the same time, the proportion of secondary industry in GDP, investment in fixed assets, and comprehensive utilization rate of general industrial solid waste inhibit the coordinated development of the economy and environment in resource-based cities. Based on the above conclusions, the paper puts forward relevant countermeasures and suggestions.

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“…SD can be used to predict the economic benefits generated in the future [33][34][35][36], as well as analyze the key factors influencing the system [37][38][39]. Zuo et al [40] established a sustainable development model called the 3E system (economic-energy-environment System) by using the SD. The results showed that the long-term development of the 3E system in the Beijing-Tianjin-Hebei region was not sustainable, but it can be changed by adjusting the energy structure and increasing the investment in environmental protection, so as to improve the environmental quality.…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable Mechanism of the Entrusted Transportation Management Mode on High-Speed Rail and the Impact of COVID-19: A Case Study of the Beijing–Shanghai High-Speed Rail

yao

Duan

et al. 2022

Sustainability

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The transport management mode fundamentally determines the sustainable development of high-speed rail passenger transport (HSRPT), which was shocked by the COVID-19 pandemic in 2020. In order to study the sustainable development mechanism of HSRPT and the impact of COVID-19, primarily based on the data from the Beijing–Shanghai high-speed rail (HSR) taken from 2018, we adopt system dynamics (SD) to provide a scenario simulation method to examination sustainable operation status of HSRPT under the entrusted transportation management mode (ETMM) by VENSIM, and take into account the following two evaluation indicators: economic and operational. The results show the following: (1) Transportation demand and commissioned transportation management fees play a vital role in the sustainable operation of the Beijing–Shanghai HSR, causing significant changes in transportation revenue and transportation costs. (2) COVID-19 had a great impact on the sustainable operation of the Beijing–Shanghai HSR. In 2020, the turnover and transportation profit of the Beijing–Shanghai HSR fell by 74.31% and 49.19%, respectively. In 2022, the transportation profit can be restored to the level of 2019. The study results reveal that Beijing–Shanghai HSR under the ETMM has a good sustainable development capability.

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Research on the Sustainable Development of an Economic-Energy-Environment (3E) System Based on System Dynamics (SD): A Case Study of the Beijing-Tianjin-Hebei Region in China

Cited by 44 publications

References 32 publications

Evaluation and countermeasures of sustainable development for urban energy‐economy‐environment system: A case study of Jinan in China

Evaluation and countermeasures of sustainable development for urban energy‐economy‐environment system: A case study of Jinan in China

Analysis on the Mechanism and Influencing Factors of the Coordinated Development of Economy and Environment in China’s Resource-Based Cities

Sustainable Mechanism of the Entrusted Transportation Management Mode on High-Speed Rail and the Impact of COVID-19: A Case Study of the Beijing–Shanghai High-Speed Rail

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