Coordinated development of a coupled social economy and resource environment system: a case study in Henan Province, China

Sun, Qian; Zhang, Xiaohu; Zhang, Hanwei; Niu, Haibo

doi:10.1007/s10668-017-9926-8

Cited by 56 publications

(31 citation statements)

References 42 publications

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“…Wang, Yuan, Cheng, Mu, and Zuo (2014) taking Shandong as an example, adopted the entropy weight method to determine the index weights and established a 3E system evaluation coordination model. Sun, Zhang, Zhang, and Niu (2018) employed a coupling coordination model to measure the coordination relationship between natural resources and socio‐economics, and conducted a case study at Henan Province. In addition, some scholars have investigated the constraints affecting coordinated development of 3E systems.…”

Section: Introductionmentioning

confidence: 99%

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: Introductionmentioning

confidence: 99%

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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“…Kmin-the minimum value of the criterion; K-the current value of the criterion. 13. When forming integral criteria from a hierarchical list or generalized criteria in optimization problems, in addition to normalization, it is preferable to use them with weighting coefficients.…”

Section: Development Of Methodology For Formation Of Criteria For Grementioning

confidence: 99%

“…It is not possible to collect the actual data like we can see in Russia, which accept National pathways to the Sustainable Development Goals (SDGs), but on the official website of Russian Government Statistics (http://www.gks.ru/wps/wcm/ connect/rosstat_main/rosstat/ru/statistics/goalOfDevelopment/) all 17 criteria are still not presented. It should be noted that many works by scientists like Pearce, Markandya, Barbier (1989); Zakharova (2011); Tereshina, Degtyaryova (2012); Bochko, Nekrasov, Pakhomova, Rikhter, Malyshkov (2014); Samarina, Rodionova, Lipina (2015); Mauritzen (2016); Zorpas, Lasaridi, Pociovalisteanu, Loizia (2018); Wu, Yu, Li, Huang (2018); Sun, Zhang, Zhang, Niu (2018); Lyytimäki, Antikainen, Hokkanen, Koskela, Kurppa, Känkänen, Seppälä (2018); Vukovic (2018) [3][4][5][6][7][8][9][10][11][12][13][14][15], are characterized by completely abstract approaches and the same uncertain results. Most of these works develop basic concepts, definitions, criteria for future research, but research directions are not specified, therefore, the purpose of the proposed criteria is unclear.…”

Section: Introductionmentioning

confidence: 99%

A Study on Green Economy Indicators and Modeling: Russian Context

et al. 2019

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This article aims to assess and forecast the dynamics of a regional green economy. The research relevance is determined by the need to develop theoretical and methodological basis of the green economy for the transition period and to identify criteria basis for assessing the state and regional level of it. The authors applied the modern methods, which allowed to model criteria considering data uncertainty and both static and dynamic criteria. The research process involved the methods of scientific analysis, comparison and synthesis, the theory of fuzzy sets, and fuzzy modeling. The main principles and methodology of the criteria evaluation for a regional green economy are proposed. The principal methodological approach in this research combines the current state and dynamics of the green economy in evaluating and forecasting the conditions of data uncertainty. The research results form a theoretical, methodological, and practical basis for assessing the current state and level of a regional green economy development, determining the effectiveness of environmental and economic programs, optimizing financial management, conducting environmental monitoring, and developing state plans.

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“…Meanwhile, environment is the bottleneck in the coordinated development of 3E systems. A similar research focused on the coordinated development of the social economy and the resource environment in Henan Province, China [21]. The results indicated changes in the coordinated degree of the social economy and the resource environment; a response policy to enhance the coordinated development level was then proposed.…”

Section: Introductionmentioning

confidence: 98%

The Spatial and Temporal Research on the Coupling and Coordinated Relationship between Social Economy and Energy Environment in the Belt and Road Initiatives

et al. 2019

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The Belt and Road Initiative (BRI) was presented by China’s central government to achieve regional economic cooperation under the background of economic globalization. Energy and environmental problems, as by-products of economic success, are fundamental concerns in this grand project. An integrated method that combined the coupling coordinated degree model, Moran’s I, and the spatial panel data model was used in the research zone. Results of the coupling coordinated degree model indicated that the statuses of the social economy and the energy environment of the countries in the research zone improved from 1997 to 2014, with the changes in China and Eastern Europe being particularly significant. From the spatial econometric perspective, the coupling coordinated degrees of the countries in the research zone appeared in the spatial cluster in accordance with Moran’s I. The result of the spatial panel data model indicated that the coupling coordinated degree of one country positively affected those of its neighboring countries.

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Coordinated development of a coupled social economy and resource environment system: a case study in Henan Province, China

Cited by 56 publications

References 42 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

A Study on Green Economy Indicators and Modeling: Russian Context

The Spatial and Temporal Research on the Coupling and Coordinated Relationship between Social Economy and Energy Environment in the Belt and Road Initiatives

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