Coupling coordination degree for urbanization city-industry integration level: Sichuan case

Gan, Lu; Shi, Huan; Hu, Yan; Lev, Benjamin; Lan, Hongxing

doi:10.1016/j.scs.2020.102136

Cited by 131 publications

(70 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…e close relationship between the chemical industry and a city (and its population) reflects the global consumption and market orientation of chemical production [4,5]. e economy of cities that rely on chemical and related industries can develop rapidly [6][7][8]. However, the decline in oil production and global oil prices has led cities with chemical industries to diversify their industrial and service activities [6].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Classification and Restructuring of Chemical Industrial Cities in China: The Perspectives of Sectoral and Spatial Differences

et al. 2021

View full text Add to dashboard Cite

As an economic pillar, major resource consumer, and polluter of cities, the chemical industry determines many cities’ transformation, prosperity, and decay. It is thus a major concern for achieving the UN Sustainable Development Goals. In China, which is at the stage of accelerated industrialization that is varied across regions, the chemical industry has gradually retreated from developed cities, such as Beijing and Shanghai, in the eastern region, and has become the inevitable choice for industrialization of less-developed cities, such as Xi’an, Chengdu, and Chongqing, in the western region. This study took the perspectives of chemical industrial sectors and their spatial differences to understand the changing patterns of the chemical industry and its dominant cities. It identified chemical industrial cities (CICs), examined their spatial-temporal patterns with respect to their industry scale and structure, and accounted for factors influencing the spatial evolution from coastal areas to inland regions. The results show that large CICs were mainly located in coastal port regions with balanced industrial sectors, while small CICs were mainly distributed in inland areas with abundant oil and coal resources and a single dominant industrial sector. The location factors of ports, markets, and technology play important roles in the eastern region, while resource conditions and foreign direct investment promote the chemical industry’s development in the central, western, and northeastern cities. These findings improve the understanding of CICs’ spatial transformation and shed light on the policy-making of chemical industrial development in China and other developing countries.

show abstract

Section: Introductionmentioning

confidence: 99%

Exploring the Classification and Restructuring of Chemical Industrial Cities in China: The Perspectives of Sectoral and Spatial Differences

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Thus, efficient weighting method is necessary. Many commonly used weighting methods such as gray approach (Arce et al 2015) and TOPSIS method (Gan et al 2020) are used to calculate the indicator weights. Nevertheless, the determination of attribute weights significantly affects the results of decision makers Dong et al 2018;Gan et al 2019).…”

Section: Methods Of Coupling Analysismentioning

confidence: 99%

“…In the economy-ecology system, factor contribution is analyzed to reflect the best contribution of a certain indicators to coupling coordination based on back-propagation artificial neural network (BPANN) (Rumelhart et al 1986) method. Likewise, some machine learning methods are used to develop strategies (Chen et al 2013), simulate the dynamic change, and get the key factors that affect the level of regional sustainable development to obtain feasible suggestions (Gan et al 2020).…”

Section: Strategies Of Sustainable Development Under Disaster Threatmentioning

confidence: 99%

Coupling coordination analysis with data-driven technology for disaster–economy–ecology system: an empirical study in China

Gan

Wang

et al. 2021

Nat Hazards

Self Cite

View full text Add to dashboard Cite

Nowadays, frequent meteorological disasters that cause huge economic losses and ecological damages have swept the world. Thus, research investigates how to overcome the adverse impacts of storm debris flow by exploring sustainable interaction among disaster, economy, and ecology. To achieve this goal, the study analyzes coupling coordination for disaster-economy-ecology system through data-driven technology named Scrapy engine. To be specific, a comprehensive index system of disaster-economy-ecology is established. Accordingly, a projection pursuit method is used to reduce the dimensions of data involved in the system. Then, an integrated weighting method of interval-valued hesitant fuzzy entropy and maximum deviation of weight is utilized. For further analysis of the internal laws in disaster-economy-ecology system, a coupling coordination model based on order preference by similarity to ideal solution is proposed. Moreover, a back-propagation artificial neural network is designed to identify the key influencing factors in disaster-economy-ecology system. Finally, an empirical study is carried out using the panel data related to storm debris flow of 31 provincial areas in China within 11 years to illustrate the study. The study results show that the overall sustainable development of disaster, economy, and ecology in China does not achieve an ideal status. Various measures based on local conditions are required to improve the imbalanced development of disaster-economy-ecology system in different areas of China. At last, strategic suggestions for sustainable development of disaster-economy-ecology system are provided.

show abstract

“…Therefore, it is necessary to monitor and regulate ILU, TID, and their mutual relations on a regular basis. For this reason, a coupling coordination degree model was introduced in this study to measure the degree of harmony between the internal elements of the system in the development process [39]. The research results show that in the process of the temporal evolution of ILU and TID subsystems, the present space-time structure was consistent, with existing scholars highlighting the "the spatial evolution of industry and land use change is temporal consistency" viewpoint [40], which further confirmed the existence of a correlation and regularity between the ILU and TID.…”

Section: Coupling Relationship Between Ilu and Tidmentioning

confidence: 99%

Coupling Relationship and Interactive Response between Intensive Land Use and Tourism Industry Development in China’s Major Tourist Cities

Huang

Lin

Chu

et al. 2021

Land

View full text Add to dashboard Cite

(1) Background: Exploring the interactive relationship between intensive land use (ILU) and tourism industry development (TID) is of vital significance to promote the high-quality and sustainable development of tourism and the urban economy. (2) Methods: This paper constructs an evaluation index system of ILU and TID, and comprehensively measures the coupling and interaction between ILU and TID in China’s 58 major tourist cities from 2004 to 2018 by using the entropy weight method, coupling coordination degree model, and panel vector autoregressive model. (3) Results: In terms of the coupling relationship, the coupling coordination degree of ILU and TID in China’s major tourist cities were optimized year by year, and the coupling coordination degree from 2004 to 2008 was less than 0.2, which is part of the serious imbalance recession stage. From 2009 to 2018, the coupling coordination degree was between 0.2 and 0.4, which is part of the moderate maladjustment recession stage. In terms of interactive response, ILU and TID formed a long-term interactive relationship, and the intensity effect of ILU on TID is significantly higher than that of TID on ILU. (4) Conclusions: There is a significant correlation and bidirectional process between ILU and TID, and they have an essential impact on the high-quality development of tourist cities.

show abstract

Coupling coordination degree for urbanization city-industry integration level: Sichuan case

Cited by 131 publications

References 38 publications

Exploring the Classification and Restructuring of Chemical Industrial Cities in China: The Perspectives of Sectoral and Spatial Differences

Exploring the Classification and Restructuring of Chemical Industrial Cities in China: The Perspectives of Sectoral and Spatial Differences

Coupling coordination analysis with data-driven technology for disaster–economy–ecology system: an empirical study in China

Coupling Relationship and Interactive Response between Intensive Land Use and Tourism Industry Development in China’s Major Tourist Cities

Contact Info

Product

Resources

About