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The construction models of smart cities and low-carbon cities are crucial for advancing global urbanization, enhancing urban governance, and addressing major urban challenges. Despite significant advancements in smart and low-carbon city research, a consensus on their coupling coordination remains elusive. This study employs mixed-method research, combining qualitative and quantitative analyses, to investigate the coupling coordination between urban smart performance (SCP) and low-carbon level (LCL) across 52 typical smart and low-carbon pilot cities in China. Independent evaluation models for SCP and LCL qualitatively assess the current state of smart and low-carbon city construction. Additionally, an Entropy–TOPSIS–Pearson correlation–Coupling coordination degree (ETPC) analysis model quantitatively examines their relationship. The results reveal that smart city initiatives in China significantly outperform low-carbon city development, with notable disparities in SCP and LCL between eastern, non-resource-based, and central cities versus western, resource-dependent, and peripheral cities. A strong positive correlation exists between urban SCP and overall LCL, with significant correlations in management, society, and economy, and moderate to weak correlations in environmental quality and culture. As SCP levels improve, the coupling coordination degree between the urban SCP and LCL systems also increases, driven primarily by economic, management, and societal factors. Conversely, the subsystems of low-carbon culture and environmental quality show poorer integration. Based on these findings, this study proposes an evaluation system for smart and low-carbon coupling coordination development, outlining pathways for future development from the perspective of urban complex systems.

Balancing economic growth with environmental protection is vital for the sustainable development of cities and regions. However, urban greening has rarely been considered in extensive studies. This study incorporates urban greening into a coupling coordination degree (CCD) model, in order to evaluate its coordination with economic performance. A total of 286 cities in China between 2005 and 2019 were selected as specific study subjects. Meanwhile, clustering method was used to classify different clusters based on CCD values, the Gini coefficient analysis was applied to discover the CCD values inequality characteristics and the exploratory spatial data analysis (ESDA) method was employed to study the CCD values spatial aggregation features. The results indicate that the CCD values presented significant spatial heterogeneity. Spatially, the CCD values were divided into eight clusters, with those in the eastern region generally being higher than in the central and western regions. Temporally, the CCD in all cities showed an increasing trend, but more than 60% of cities were still in the uncoordinated or low-level coordination stage. In addition, inequality and spatial aggregation characteristics were observed in CCD values, both of which presented decreasing trends. Greening has a stronger influence on the linked and coordinated growth of the two systems; therefore, we propose policy recommendations for pursuing the development of environmentally friendly cities from different aspects. In summary, this research allows for a better understanding of economic and environmental relationships, thus contributing to the objective of creating sustainable cities and communities.

In the context of urban stock renewal, the spatial arrangement of public cultural facilities (PCFs) should follow the principles of equity and efficiency to ensure that residents have equitable access to and quality of public cultural services. The aim of this article is to study the spatial distribution of PCFs and the coupling of supply and demand of cultural resources in Tianjin’s central area. By building a supply-demand coupling coordination model and other methods, the equalization of the spatial distribution of PCFs is measured from various perspectives, and the results suggest that more than half of the sub-districts are in a situation of supply and demand imbalance. To fulfill the purpose of meeting residents’ actual needs, balancing supply and demand for cultural resources, and coordinating the increase in stock, these sub-districts’ facilities enter the step of optimization. Depending on the circumstances, the quality and scale of these facilities are optimized, or new facility points are added based on the maximized coverage model. The optimization is shown to be beneficial in terms of updating design and coverage quantity using two real-world cases. Finally, the coverage of facilities in the study area is maximized, facility utilization is made more efficient, and residents’ needs for public cultural services are satisfied.

The construction of water conservancy and hydropower projects often involves substantial land acquisition and resettlement. Land is a crucial means of production, playing a significant role in ensuring food security and protecting the ecological environment and social development. However, the advancement of urbanization and changes in production methods have led to a noticeable shift in the behavior of farmers on lands. Abandoned land and reclaimed wasteland in host resettlement areas lead to low land-use efficiency, environmental degradation, and frequent geological disasters. It is important to evaluate the willingness of migrants and native farmers to transfer farmland in the resettlement area and their coupled coordination relationships to realize effective land use. These were evaluated in this study by constructing an index system from personal and family characteristics, land resource endowment, characteristics of the external policy environment, and psycho–cognitive characteristics. The results showed that their coupling degree was 0.999, while their coupling degree of coordination was 0.68. The relative development degree was 1.01. It showed that a strong correlation existed between the willingness of migrants and native farmers, and they were in a basic coordination phase. They influenced each other and reached a basic balanced state. Farmland can be transferred between migrants and native farmers to improve their livelihood, resettle migrants, improve land-use efficiency, and reduce wasteland reclamation. This suggested the possibility of establishing a land transfer resettlement model based on the willingness of migrants and native farmers to achieve environmental and social sustainability in the resettlement area.

Jia, D., 2019. Coupling and coordination of marine high-end human resources and marine innovative economic development ability.In: Gong, D.; Zhu, H., and Liu, R.(eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 573–576. Coconut Creek (Florida), ISSN 0749-0208. Combined with the information space theory, a kind of method for the Marine high-end marine high-end human resources management system in the Coupling coordination of the Marine Innovative Economy is put forward in this paper. The information space theory can be used to describe the relationship between the Marine high-end marine high-end human resources management system and the information space theory. Information space theory is used to represent the interdependence relationship between the Marine high-end marine high-end human resources management systems in the Coupling coordination of the Marine Innovative Economy. The relationship between the Marine high-end marine high-end human resources management system and the Coupling coordination of the Marine Innovative Economy can be determined through the information space theory, which has minimized the engineering quantity of the Marine high-end marine high-end human resources management system in the Coupling coordination of the Marine Innovative Economy. The optimal Coupling coordination method for the Marine high-end marine high-end human resources management system in the Coupling coordination of the Marine Innovative Economy is determined by the information space theory. The Marine high-end marine high-end human resources management system in the Coupling coordination of the Marine Innovative Economy is compared with the other Marine high-end marine high-end human resources management systems, and the Coupling coordination method for the optimal Marine high-end marine high-end human resources management system can be obtained accordingly.

Airport agglomeration coupling coordination is a key indicator of healthy regional aviation development. This study constructs an evaluation index system from three dimensions—airport production, infrastructure construction, and network support—and assesses the coupling coordination capability of China’s four major airport agglomerations using the entropy weight method and a coupling coordination model. Furthermore, an Airport Consistency Index is innovatively introduced as the reciprocal of the coefficient of variation, and an overall coordination degree is developed under the framework of “balanced average level + consistency correction.” By incorporating the inverse coefficient of variation, the proposed index explicitly assesses airport agglomeration dispersion in coordination performance, thereby mitigating the risk that a strong performance at leading airports masks structural imbalances within the system. This refinement enhances the diagnostic precision of the overall coordination assessment by integrating both average development level and internal convergence. Based on calculations for 2020–2024, the overall coordination ranking is Beijing–Tianjin–Hebei, Guangdong–Hong Kong–Macao Greater Bay Area, Yangtze River Delta, and Chengdu–Chongqing. The Beijing–Tianjin–Hebei agglomeration shows strong and stable coordination with limited sensitivity to external conditions, whereas the Yangtze River Delta is more environmentally sensitive due to its large number of airports. The Greater Bay Area demonstrates solid coordination with substantial synergy potential, while Chengdu–Chongqing exhibits relatively weak coordination and considerable room for improvement. The proposed model effectively evaluates the overall coordination degree of airport agglomerations and supports targeted development recommendations.

Sci-tech innovation is an important measure for the Guangdong–Hong Kong–Macao Greater Bay Area to achieve high-quality economic development. Theoretically, there is a coupling coordination relationship between sci-tech innovation and high-quality economic development, and coordinating the relationship between the two is beneficial to building the Guangdong–Hong Kong–Macao Greater Bay Area into an international innovation and technology hub and promoting high-quality economic development. At present, the Guangdong–Hong Kong–Macao Greater Bay Area has seen a year-on-year increase in both the level of sci-tech innovation and the level of high-quality economic development, with a sound development trend. Its coupling coordination degree between sci-tech innovation and high-quality economic development has steadily improved from a slightly uncoordinated stage to a primarily coordinated stage, but the overall degree of coordination is still not high, with some gaps from realizing the excellently coordinated stage. From the perspective of spatial distribution, the internal development of the Guangdong–Hong Kong–Macao Greater Bay Area is unbalanced, with obvious differences in development level and coupling coordination degree among cities. The convergence analysis shows that the differences in the coupling coordination degree among the cities in the Guangdong–Hong Kong–Macao Greater Bay Area have stabilized after narrowing during the study period. However, the difference among the cities with higher coupling coordination degrees tends to widen in recent years. Therefore, necessary measures should be taken to promote the coordination between sci-tech innovation and high-quality economic development in the Guangdong–Hong Kong–Macao Greater Bay Area.

Water, energy and food are three essential resources for the socio-economic system, and they are interlinked. The coordination of their internal relations is worth studying. We conduct a coordination evaluation method to assess the water-energy-food nexus (WEF Nexus) in China’s provinces. By combining the coupling model and the coupling coordination model, we measure the comprehensive evaluation index and coupling coordination degree of China’s 30 provinces from 2005 to 2017. First, the results show the provincial comprehensive evaluation index had a slow upward trend. The comprehensive evaluation index of the southern region was higher than that of the north, and the eastern was higher than the west. Second, the coordination degree of WEF Nexus in China’s 30 provinces has reached high level in the horizontal coupling stage, and the overall degree of coupling coordination was on the rise. In 2017, the WEF Nexus coupling coordination degree of most provinces reached 0.700 or more, which was intermediate-coordinated. In the six years, the 30 provinces have experienced five types of coupling coordination degree: near coordinated, barely coordinated, primary coordinated, intermediate-coordinated, and well-coordinated.

The Yellow River Basin (YRB) is an important ecological barrier and an important economic zone in China. Under the new requirements of realizing ecological protection and high-quality development of the YRB, the coordinated development of basin economic development and ecological environment is an urgent research topic. Taking 36 cities along the Yellow River Basin as samples, this paper constructs an evaluation index system of economic development and ecological environment. The coupling coordination model and geographical weighted regression were adopted to analyze the coupling coordination relationship between economic development and ecological environment from 2008 to 2017, and the influencing factors were analyzed. The results showed that (1) the coupling coordination of urban economic development and ecological environment along the YRB showed significant regional heterogeneity, forming a low-value sag of the Loess Plateau; (2) the regional hot spots in the downstream of the YRB continuously extended inland, while these in the midstream converged; (3) the coupling coordination degree between economic development and ecological environment is affected by factors such as population size, openness, and advanced industrial structure, and the intensity varies significantly among regions.

To coordinate economic development and carbon emission reduction targets, China needs to improve carbon emission efficiency and upgrade the industrial structure. Therefore, it is important to study the coupling degree and coupling path between these two factors in various provinces in China, and thereby promote the development of China’s low-carbon economy. We first calculate carbon emission efficiency using the Super-SBM model, then analyze an extended coupling model between carbon emission efficiency and industrial structure upgrading, and finally design the coupling paths using the framework of distribution dynamics. There are three main findings. First, the coupling degree of nearly half the provinces is at the level of mild-to-moderate imbalance recession. And in terms of specific coupling characteristics, nearly half the provinces belong to the type “low-level coordination,” with a low development degree and high coordination degree. Second, there is an obvious dynamic imbalance between China’s carbon emission efficiency and industrial structure upgrading, and the “low-level trap” of regional carbon emission efficiency is more serious than that of regional industrial structure upgrading. Finally, if the government prioritizes provinces with low carbon emission efficiency, carbon emission efficiency and the coupling efficiency with industrial structure can be improved, which would not only improve the coupling degree within each region but also alleviate the disharmony between regions.