Search

Rapid urbanization and exacerbated natural hazards, for example, floods, have been the big challenges for the sustainable development of many countries. Understanding the coupling coordination between urbanization and flood is important for promoting the sustainable development. However, there are few quantitative studies on the interaction between these two in China which is experiencing accelerated urbanization and climate change. In this paper, we developed an improved coupling coordination degree (CCD) model, applied Moran's I and projection pursuit model based on genetic algorithm to analyze the spatiotemporal distribution and spatial clustering effects of coupling coordination in urbanization–flood disasters system under the context of China's Five-Year Plan for National Economic and Social Development. Our results showed an upward trend of the comprehensive level of urbanization subsystem and a decreasing first and rising later trend of flood disaster subsystem in China from 2001 to 2018. There was a U-shaped relationship between the two subsystems during the research period. From 2001 to 2018, provinces with the moderate and slight uncoordinated development decreased by 9.68% and 16.13%, respectively, while provinces with the barely coordinated development increased by 16.21%. Spatially, there was a remarkable spatial dependency on CCD. The CCD between two subsystems in Northwestern China was higher than that in Southeastern China. Due to the effects of geographic position, rainfall, human activities, and economic development, the low-low (L-L) clusters concentrated in Southeastern China, and the high-high (H–H) clusters appeared in Northwestern China. Our results show that the improved CCD model, along with Moran's I analysis, can provide theoretical basis for policy makers to formulate reasonable measures for promoting the coupling coordination between urbanization and flood disasters. • Spatiotemporal distribution and dynamic evolution of nexus between urbanization and flood disasters were investigated. • Improved CCD model, Moran's I and projection pursuit model based on genetic algorithm were developed. • There was a U-shaped relationship in comprehensive level between urbanization and flood disasters. • CCD between two subsystems in Northwestern China was higher than that in Southeastern China. • There was a remarkable spatial clustering effects in CCD. [ABSTRACT FROM AUTHOR]

• DPSIR theory is used to analyze the coupling coordination mechanism among systems. • An evaluation index system of coupling coordinated development is proposed. • A CCD evaluation model optimized by information entropy is further constructed. • The characteristics of CCD in time and spatial dimension are analyzed. • Optimal strategies for the provinces in the YREB are put forward. The interaction between regional energy, economy and ecology system has the characteristics of high correlation and complexity. In-depth study of the relationship between the three systems is of great significance for regional sustainable development. In this paper, DPSIR (driving forces, pressures, states, impacts and responses) theory is innovatively introduced to analyze the coupling coordination mechanism among systems. On this basis, an evaluation system for the coupling coordination development of regional energy-economy-ecology system is proposed. A coupling coordination degree (CCD) evaluation model optimized by information entropy is further constructed, and the panel data of 11 provinces along the Yangtze River Economic Belt (YREB) from 2008 to 2017 are used for empirical analysis of this region. The results show that the development of the energy and economy systems in the YREB has strong similarities, while the evaluation values of ecology systems in the provinces mainly fluctuate or first descend then rise. The development of the ecology system is influenced by the development of energy system and economy system on the one hand, and also by regional policies on the other hand. The CCD on the time dimension is given priority to with fluctuations rise development momentum, on the spatial dimension is roughly east high and west low development pattern. And the main factors restricting the coupling coordinated development of the YREB are different in the east, central and west. The three eastern provinces all belong to the type of ecology lag, while the four provinces in the central region belong to economy lagged. The development of energy and economy systems in the four western provinces lags behind their ecology systems. In addition, this paper proposes optimal strategies for the provinces, in which the middle and upper reaches of the Yangtze River should reduce energy consumption per unit of GDP and accelerate the transformation from traditional economy to green economy. The downstream region should improve the ecological carrying capacity of the resources and environment, and promote the economic conversion rate of scientific and technological achievements. The research process and results show that the combination of DPSIR theory and CCD model can provide a general tool for determining the coupling coordinated effect between subsystems. [ABSTRACT FROM AUTHOR]

The decline in coal production and the increase in low-carbon production levels are both important manifestations of the industry's elimination of backward production capacity. To test the benign interaction between the "quantity" and the "quality", this paper takes 12 provinces in China with significant reductions in coal production, calculates and compares the changes in the coupling coordination degree (CCD) of the two systems from 2000 to 2019, and explore the key factors that affect CCD. The results show that from 2013 to 2019, 12 provinces have seen a decline in coal production between 5% and 23.6%, and the effectiveness of coal production control is relatively significant. However, the carbon emission reduction efficiency of the coal industry in 9 of these provinces has been at a lower level with a mean value of 0.481. After 2013, the CCD of 12 provinces significantly improves and the two systems have converged to a good state of coordination (D it >0.6) in most provinces by 2019. However, the high volatility of CCD after 2013 suggests the instability of interaction. L n P G D P P E P O V , and F D I are proven to be the key factors affecting the system coordination. Meanwhile, other factors need to be further explored and improved. • The impact of supply-side structural reform in the coal industry on carbon emission. • The target for cutting coal production capacity has been met. • The coal industry's CO2 reduction technology is still immature. • Interaction between coal production cutting and CO2 reduction does exist. • A relative stable interaction between the two systems has not yet been formed. [ABSTRACT FROM AUTHOR]

• Presents a data-driven measurement, evaluation, and identification method. • Uses a coupling coordination degree model for three regional agriculture subsystems. • Suggests ways to reduce costs, increase social support, and enhance competitiveness. This study aims to evaluate the relationship between the agriculture economy environment, and society from the perspective of system theory and then put forward targeted suggestions for sustainable development of Anhui's agriculture in China. Based on the collection of relevant data and the objective weighting of indicators, the entropy weight method is used to measure the comprehensive development level of regional agriculture. The coupling coordination degree model is employed to evaluate the coupling coordination level among the three subsystems of regional agriculture. The obstacle degree model is used to identify the key obstacle factors. The case study results show that the main obstacles of the coordination system are the use of pesticides, the number of agricultural scientific and technological achievements, the application of agricultural plastic film, the number of farmers' technical training schools, and the proportion of animal husbandry. Accordingly, the paper posits suggestions, such as reducing the input of pesticides and agricultural plastic films in agricultural production, improving the social support level of agricultural science, technology, and education, and enhancing the competitiveness of animal husbandry in the Anhui Province. This study provides theoretical and methodological support for the coupled and coordinated development of regional agricultural economy, ecology and society(EES). [ABSTRACT FROM AUTHOR]

• Investigating the coupling coordination of social economy–water environmental quality. • Improved CCD model, scissors difference were developed. • Spatiotemporal distribution and dynamic mechanism in CCD were discussed in detail. • Subsystem development modes and suggestions were proposed to promote CCD. Investigating the coordinated development between social economy and water environmental quality is an important basis for promoting the protection of water ecological environment. In this paper, a comprehensive index system was built to estimate the coupling coordination between social economy and water environmental quality subsystems in Nansi Lake catchment, China. Improved coupling coordination degree (CCD) model, scissors difference and projection pursuit model based on genetic algorithm were developed to investigate the spatiotemporal distribution and dynamic evolution mechanism of coupling coordination in social economy–water environment system. Results showed that: (1) Comprehensive level of two subsystems showed an overall uptrend, water environmental quality in the catchment was improved gradually with socio-economic development. (2) The status of coupling coordination between two subsystems had transformed from moderately unbalanced development (CCD of 0.265 in 2001) to favorably balanced development (CCD of 0.667 in 2017). The relatively low CCD in Heze generated the biggest restriction on the coordinated development between two subsystems, compared to Zaozhuang and Jining. (3) The speed difference between two subsystems showed a downward trend, the scissor difference was controlled effectively. And the social economy–water environmental quality system gradually tended to the coordinated development. Overall, the improved CCD model and scissors difference analysis in this paper may provide a new approach for empirical research on environment–economy nexus. We hope this study can help decision makers formulate measures to promote the coordinated development between social economy and water environmental quality subsystems. [ABSTRACT FROM AUTHOR]

Background/Objectives: China is actively promoting the reform of its economic structure and industrial upgrade, and the integration of the cultural industry and the tourism industry is an important approach. It is necessary to explore the degree of coordination and coupling between the cultural industry and the tourism industry in ethnic minority areas and find ways to promote the coordinated development of the two industries. Methods/Statistical Analysis: This study selected Guangxi Zhuang Autonomous Region as the sample, collected data from 2010 to 2018, and analyzed it based on the coupling coordination theory. Findings: The results revealed that the comprehensive development evaluation index of the cultural industry and the tourism industry basically showed a year-on-year upward trend, and the development speed of the cultural industry is slightly higher than that of the tourism industry; the coupling degree of the regional cultural industry and tourism industry was at a high level; the coordination degree of the two industries increased gradually from 0.3971 in 2010 to 0.9425 in 2018. It indicated that the coupling development of the two industries continues to improve. However, the development speed of tourism industry slightly was slower than the development speed of the cultural industry. Improvements: This study attempts to develop an index to evaluate the tourism and cultural industries in an ethnic minority region and assess the coupling and coordination degree through an empirical analysis. This study emphasizes the need to better understand the integration of the cultural industry and the tourism industry as a process to complement each other, which can produce a positive synergy effect to benefit both the economy and the environment. This paper also provides development suggestions for the culture and tourism industry stakeholders in other areas of the world from the perspective of open innovation. [ABSTRACT FROM AUTHOR]