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

Wang, Shuo; Song, Junnian; Wang, Xian’en; Yang, Wei

doi:10.3390/su11020407

Cited by 17 publications

(13 citation statements)

References 45 publications

(49 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At the same time, coordination is the process of benign interaction and development between systems or among the elements within the system, while coordination degree is a quantitative index to measure the coordination between systems. Combining the concepts of coupling and coordination, a lot of researchers have adopted coupling coordination degree model (CCDM) to measure different systems' relationships, such as urbanization and the eco-environment system [45][46][47][48], urbanization and the atmospheric environment system [26,49], industrial structure and the eco-environment system [4], socio-economy and the energy environment [50,51], the economy-resource-environment system [52], etc. However, few studies have explored the coupling and coordination relationship between the industrial structure system and atmospheric environment system.…”

Section: Theoretical Framework and Indicator Evaluation System Of Indmentioning

confidence: 99%

Investigating the Relationship between the Industrial Structure and Atmospheric Environment by an Integrated System: A Case Study of Zhejiang, China

et al. 2020

View full text Add to dashboard Cite

Under the dual pressure of industrial structure upgrade and atmospheric environment improvement, China, in a transition period, is facing the challenge of coordinating the relationship between the industry and the environment system to promote the construction of a beautiful China. Based on system theory and coupling coordination model, the interaction analysis framework between industrial structure (IS) and atmospheric environment (AE) was constructed. An integrated system with 24 indicators was established by the pressure-state-response (PSR) model of IS and level-quality-innovation (LQI) model of AE. Then, we analyzed trends observed in coupling coordination degree (CCD) and dynamic coupling coordination degree (DCCD) for 11 cities in Zhejiang Province, China, using statistical panel data collected from 2006 to 2017. Conclusions were as follows: (1) the 11 cities' comprehensive level of the IS system shows a trend of stable increase, yet the comprehensive level of AE demonstrated a trend of fluctuation and transition. There are significant spatial variations among cities; (2) The CCD analysis results found that Hangzhou, Ningbo, and Wenzhou take the lead in realizing the transformation from barely coordinated development to superior coordinated pattern, while other cities were still in the stage of barely coordinated development; (3) the DCCD phase of 11 cities can be roughly divided into three types: upgraded-utmost development type (only Hangzhou), stable-harmonious development type (Wenzhou, Lishui, and Zhoushan) and transitional-harmonious development type (the remaining seven cities). This means, for most cities, the contradiction between the transformation process of IS and the AE has become increasingly prominent and intensified. Finally, three necessary and sustainable strategies were proposed to environmental policy makers.

show abstract

Section: Theoretical Framework and Indicator Evaluation System Of Indmentioning

confidence: 99%

Investigating the Relationship between the Industrial Structure and Atmospheric Environment by an Integrated System: A Case Study of Zhejiang, China

et al. 2020

View full text Add to dashboard Cite

show abstract

“…For example, Fudaliński [15] emphasizes the necessity of modifying the existing model solutions and adapting them to the company's demands. In another study, Wang et al [16] propose the Alien Eyes' Risk Model, which demonstrates three risk hierarchy levels and the way to avoid each level of risk.…”

Section: Literature Reviewmentioning

confidence: 99%

“…This yields 10,218,000 events in total, which we identify as our research object. This study adopts a much larger dataset to analyze political risks along the BRI than similar studies on the BRI, such as Wang et al [16], which adopts 17 indexes acquired from the world development index dataset to analyze the coordinated relationship between social economy and energy environment in the BRI, Liu et al [31], which employs 1193 Outward Foreign Direct Investment (OFDI) events obtained from the Directory of Chinese Foreign Investment Enterprises to examine the OFDI agglomeration under the BRI, and Ploywarin et al [32], which uses 675 questionnaires to analyze the factors influencing public risk perceptions of Thai high-speed railway projects based upon the BRI.…”

Section: Datamentioning

confidence: 99%

Spatial Big Data Analysis of Political Risks along the Belt and Road

2019

View full text Add to dashboard Cite

As many regions along the Belt and Road have long been struggling with terrorist attacks, crimes, wars, and corruption, political risks pose important challenges for infrastructure projects and transnational investment. The objective of the article is to contribute to the identification of different types of political risks along the Silk Road Economic Belt and 21st Century Maritime Silk Road, and the visualization of their micro-level spatial distribution based on the Global Database of Events, Language, and Tone (GDELT) datasets from October 2013 to May 2018. By adopting the bivariate Moran’s I model to compare the distribution of political risks along the Belt and Road and that of the Chinese Belt and Road Initiative (BRI) investment and construction projects based on data from the China Global Investment Tracker (CGIT), the article also generates an overall political risk profile for Chinese BRI projects. Our findings show that a particularly high percentage of Chinese BRI projects are distributed in regions with high political risks. This research has important implications for the discussion and study of the BRI. First, by combining geographic spatial statistical analysis and political science conceptual frameworks, we point out the necessity to query the BRI from interdisciplinary perspectives grounded in empirical research. Second, the research delivers to researchers, academics, practitioners, consultants and policy makers interested in the BRI the latest insights into the risks and challenges along the Belt and Road. Third, it advocates policies and strategies conducive to identifying, assessing and mitigating political risks in investment along the Belt and Road and to strengthening the sustainable development of the BRI.

show abstract

“…Economic development directly reflects the degree of social development, but too fast economic development will inevitably cause ecological damage and resource consumption [1]. Therefore, the interaction between economic development and ecological conditions has become a research hotspot [2].…”

Section: Introductionmentioning

confidence: 99%

Coordination Study on Ecological and Economic Coupling of the Yellow River Basin

Zhao

Jiang

Zhai

et al. 2021

IJERPH

View full text Add to dashboard Cite

The coupling and coordination relationship between ecology and the economy in the Yellow River Basin is a hot topic in sustainable development research. Said research has important guiding significance for the ecological security and comprehensive development of the Yellow River Basin. Taking the Yellow River Basin as the object of our study, based on the data of the economy, energy consumption data, ecology data and water resources data, we construct an indicator system of the economic development and ecological status of the Yellow River Basin and use the principal component analysis method to calculate the economic development and ecological status index. Then, we use the evaluation method, the coupling degree model and the coupling coordination degree model to analyze the time and space evolution trends of economic development and ecological state, coupling degree and coupling coordination degree. The results show that: (1) From 2000 to 2018, the economic development index of the Yellow River Basin rose steadily; the ecological status index showed a slow rise and then a downward trend. (2) The degree of coupling between economic development and ecological state has been considered as intensity coupling after 2005. The coupling trend slowly increased and then decreased, indicating that the interaction effect between the economy and ecology was first significantly enhanced and then slowly weakened. (3) The degree of coupling coordination increased from 0.2994 to 0.6266 and then decreased to 0.5917, reflecting the continuous improvement of the relationship between the regional economy and the ecological environment and the trend toward coordination. From 2015 to 2018, due to the gradual increase in the difference between economic development and ecological conditions, the coupling and coordination between the two decreased. Studies have shown that ecological construction and protection should be strengthened to ease the contradiction between the economy and ecology and achieve coordinated development.

show abstract

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

Cited by 17 publications

References 45 publications

Investigating the Relationship between the Industrial Structure and Atmospheric Environment by an Integrated System: A Case Study of Zhejiang, China

Investigating the Relationship between the Industrial Structure and Atmospheric Environment by an Integrated System: A Case Study of Zhejiang, China

Spatial Big Data Analysis of Political Risks along the Belt and Road

Coordination Study on Ecological and Economic Coupling of the Yellow River Basin

Contact Info

Product

Resources

About