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Yufei Ren
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China

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Journal article
Published: 01 November 2019 in Science of The Total Environment
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China's rapid urbanization has produced problems of excessive resource use and environmental pollution, threatening the country's sustainable development. Previous studies mainly focused on empirical observation of the interactions between urbanization and the eco-environment, mainly using econometric models which lacked detailed explanations of the coupling mechanisms between various elements. No quantitative models have been developed to describe the complex nonlinear relationships between various elements, so our understanding of urbanization and eco-environment coupling is vague, and therefore not conducive to coordinating the relationship between them. Coupling urbanization with the eco-environment allows us to simulate interactions between them and enables us to explore the most suitable scenarios for sustainable development. We designed and developed the Urbanization and Eco-environment Coupler (UEC) using system dynamics to simulate regional urbanization and eco-environment coupling and to compare different sustainable development scenarios. UEC integrates human and natural elements. It includes four urbanization submodels (the economy, society, population and construction land) and five eco-environment submodels (water, arable land, ecology, pollution and energy). UEC can fully represent the nonlinear interactions between these submodels by identifying feedback linkages. This allows us to identify an optimal sustainable regional development pattern. We chose the Beijing-Tianjin-Hebei urban agglomeration as a case study research area and obtained the following results: (1) prioritizing urbanization will accelerate economic growth and increase pollution emissions whereas prioritizing the eco-environment will negatively affect both total population and arable land; (2) when sufficient policy and technical support is directed to a particular area, urbanization may not further degrade the eco-environment; and (3) simulation results for various scenarios show that the key to guaranteeing sustainable development is improving technical and political support rather than further restricting urbanization. The UEC model is a significant aid to improving sustainable regional planning.

ACS Style

Chuanglin Fang; Xuegang Cui; Guangdong Li; Chao Bao; Zhenbo Wang; Haitao Ma; Siao Sun; Haimeng Liu; Kui Luo; Yufei Ren. Modeling regional sustainable development scenarios using the Urbanization and Eco-environment Coupler: Case study of Beijing-Tianjin-Hebei urban agglomeration, China. Science of The Total Environment 2019, 689, 820 -830.

AMA Style

Chuanglin Fang, Xuegang Cui, Guangdong Li, Chao Bao, Zhenbo Wang, Haitao Ma, Siao Sun, Haimeng Liu, Kui Luo, Yufei Ren. Modeling regional sustainable development scenarios using the Urbanization and Eco-environment Coupler: Case study of Beijing-Tianjin-Hebei urban agglomeration, China. Science of The Total Environment. 2019; 689 ():820-830.

Chicago/Turabian Style

Chuanglin Fang; Xuegang Cui; Guangdong Li; Chao Bao; Zhenbo Wang; Haitao Ma; Siao Sun; Haimeng Liu; Kui Luo; Yufei Ren. 2019. "Modeling regional sustainable development scenarios using the Urbanization and Eco-environment Coupler: Case study of Beijing-Tianjin-Hebei urban agglomeration, China." Science of The Total Environment 689, no. : 820-830.

Journal article
Published: 10 February 2018 in Sustainability
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Elucidating the performance of collaborative development within the Beijing Tianjin Hebei (BTH) region and developing an understanding of mechanisms underlying this process are of paramount importance to regional sustainable development as well as for the realization of Chinese national strategy. Thus, utilizing socioeconomic data for 13 districts within the BTH region between 2000 and 2014, this study applies the Gini coefficient alongside the technique for order preference by similarity to an ideal solution (TOPSIS) method supported by the entropy weight model and impulse response functions in order to assess the performance of collaborative development in this region and elucidate underlying mechanisms. The results of this study reveal that collaborative development within the BTH region has tended to slowly increase over time, but with fluctuations. Although some progress has been made in promoting urbanization, constructing traffic networks, protecting the environment, and improving living standards, very significant expansion space nevertheless remains for further improvements. The collaborative development of this region has also been increasingly affected by globalization, with either the equalization of per capita fixed asset investment or fiscal expenditure exerting a definite impact. The results show that although the equalization of per capita fixed asset investment boosts collaborative development at the start of this process, it is likely to impede it over longer time scales, while the equalization of per capita fiscal expenditure will contribute to this process within the BTH region over both the short and long term. A number of policy suggestions are therefore proposed in this paper to promote smooth collaborative development of the BTH region, including optimizing investment structures and establishing an ecological compensation mechanism.

ACS Style

Chuanglin Fang; Kui Luo; Yunlong Kong; Haoxi Lin; Yufei Ren. Evaluating Performance and Elucidating the Mechanisms of Collaborative Development within the Beijing–Tianjin–Hebei Region, China. Sustainability 2018, 10, 471 .

AMA Style

Chuanglin Fang, Kui Luo, Yunlong Kong, Haoxi Lin, Yufei Ren. Evaluating Performance and Elucidating the Mechanisms of Collaborative Development within the Beijing–Tianjin–Hebei Region, China. Sustainability. 2018; 10 (2):471.

Chicago/Turabian Style

Chuanglin Fang; Kui Luo; Yunlong Kong; Haoxi Lin; Yufei Ren. 2018. "Evaluating Performance and Elucidating the Mechanisms of Collaborative Development within the Beijing–Tianjin–Hebei Region, China." Sustainability 10, no. 2: 471.