Abstract:The economic linkages between cities within the Yangtze River Economic Belt city cluster are important for precisely implementing the Yangtze River Economic Belt strategy. Accordingly, this study used the revised gravity model, social network method, and spatial Durbin model to analyze the economic linkage strength, spatial-temporal differentiation, and driving factors of the three major city cluster in the Yangtze River Economic Belt from 2006–2020. The results confirm that the Chengdu-Chongqing urban agglome… Show more
“…Evidently, the three major city clusters have insufficient backward force to improve green development efficiency. The above findings also show that, although the strategic context of the Yangtze River basin's collaborative development has led to an increase in synergistic interactions among cities and a gradual narrowing of regional non-equilibrium development risk, the central cities within the city clusters have outstanding levels of green development efficiency development by virtue of their comparative advantages in factor concentration; however, problems such as their weak radiation-driving capacity to neighboring cities still exist [41], which are not conducive to the free flow and rational allocation of factors, resulting in increasing uncertainty of the green development efficiency improvement. In addition, the crest widths of the three major city clusters are narrowing, with the Yangtze River Delta showing the most pronounced trend of narrowing crest widths.…”
Section: Dynamic Distribution and Multipolar Analysis Of Green Develo...mentioning
confidence: 77%
“…Within the middle reaches of the Yangtze River inter-cluster, under the strategic layout of Wuhan, Changzhutan, and the Nanchang urban areas, the three provincial capitals play a leading role, driving the synergistic development of the sub-centers. This role is the main reason for the narrowing of the green development efficiency gap within the middle reaches of the Yangtze River inter-cluster [41]. The overall lower level of reduction indicates the persistence of the gap between the city clusters in the Yangtze River basin and the unbalanced spatial distribution of green development efficiency (Table 2), and the steady-state development trend of the narrowing gap among the three major city clusters also reflects that, as the Yangtze River Economic Belt's development strategy is further developed and implemented, the gap is becoming less pronounced.…”
The sustainability of economic development is constrained by issues such as the depletion of global resources and environmental deterioration; therefore, assessing the effectiveness of green development is crucial for ensuring both economic and social sustainability. The superefficient, slacks-based measures–data envelopment analysis (SBM-DEA) model and the Malmquist–Luenberger productivity index are used in this study to quantify and analyze the level of green development efficiency of the three major city clusters in the Yangtze River Economic Belt. Using techniques such as the Dagum Gini coefficient and Kernel density estimation, this research study also focuses on the regional disparity distribution, dynamic evolution patterns, and risk factors affecting the green and balanced development of city clusters. The results show that, firstly, the green development efficiency of the city clusters presents an overall fluctuating downward trend, and that the low efficiency of resource utilization due to diseconomies of scale is the main obstacle to its growth. Secondly, super variable density and intra-cluster gap are the primary causes of the risk of green and balanced development. There is insufficient momentum to improve green development efficiency. Given these results, the focus of policy implementation to reduce the risk of green development transformation should be on maximizing the driving force of technological progress, improving resource allocation efficiency, and increasing the level of synergistic development within cities.
“…Evidently, the three major city clusters have insufficient backward force to improve green development efficiency. The above findings also show that, although the strategic context of the Yangtze River basin's collaborative development has led to an increase in synergistic interactions among cities and a gradual narrowing of regional non-equilibrium development risk, the central cities within the city clusters have outstanding levels of green development efficiency development by virtue of their comparative advantages in factor concentration; however, problems such as their weak radiation-driving capacity to neighboring cities still exist [41], which are not conducive to the free flow and rational allocation of factors, resulting in increasing uncertainty of the green development efficiency improvement. In addition, the crest widths of the three major city clusters are narrowing, with the Yangtze River Delta showing the most pronounced trend of narrowing crest widths.…”
Section: Dynamic Distribution and Multipolar Analysis Of Green Develo...mentioning
confidence: 77%
“…Within the middle reaches of the Yangtze River inter-cluster, under the strategic layout of Wuhan, Changzhutan, and the Nanchang urban areas, the three provincial capitals play a leading role, driving the synergistic development of the sub-centers. This role is the main reason for the narrowing of the green development efficiency gap within the middle reaches of the Yangtze River inter-cluster [41]. The overall lower level of reduction indicates the persistence of the gap between the city clusters in the Yangtze River basin and the unbalanced spatial distribution of green development efficiency (Table 2), and the steady-state development trend of the narrowing gap among the three major city clusters also reflects that, as the Yangtze River Economic Belt's development strategy is further developed and implemented, the gap is becoming less pronounced.…”
The sustainability of economic development is constrained by issues such as the depletion of global resources and environmental deterioration; therefore, assessing the effectiveness of green development is crucial for ensuring both economic and social sustainability. The superefficient, slacks-based measures–data envelopment analysis (SBM-DEA) model and the Malmquist–Luenberger productivity index are used in this study to quantify and analyze the level of green development efficiency of the three major city clusters in the Yangtze River Economic Belt. Using techniques such as the Dagum Gini coefficient and Kernel density estimation, this research study also focuses on the regional disparity distribution, dynamic evolution patterns, and risk factors affecting the green and balanced development of city clusters. The results show that, firstly, the green development efficiency of the city clusters presents an overall fluctuating downward trend, and that the low efficiency of resource utilization due to diseconomies of scale is the main obstacle to its growth. Secondly, super variable density and intra-cluster gap are the primary causes of the risk of green and balanced development. There is insufficient momentum to improve green development efficiency. Given these results, the focus of policy implementation to reduce the risk of green development transformation should be on maximizing the driving force of technological progress, improving resource allocation efficiency, and increasing the level of synergistic development within cities.
“…And at the same time, some studies have also taken safety and comfort as evaluation indexes [38,39]. As for location attractiveness, it is often measured using indicators such as the level of regional economic development and the number of populations [40]. Studies on the impacts of transportation construction on urban space cover regional and urban agglomeration, city, and station area scales [41], and it is generally believed that changes in spatial structure at macro-regional scales mainly originate from the construction of trans-regional transport corridors such as roads and railways [42,43].…”
Section: Spatial and Temporal Compression Effect Of Regional Transpor...mentioning
Coordination between the construction of transport infrastructure and the development and protection of territorial space is an important factor in promoting sustainable regional development, but there is still a lack of systematic research on the impact of transport on territorial space worldwide. Following the logic of “development trend revealing—theoretical and technological summary—mechanism analysis”, the research progress on the two aspects of development and protection of territorial space related to transport is systematically and comprehensively sorted from the perspective of multi-scale and multi-mode transport. The results show that: (1) The number of research papers on the effect of transport on territorial space is on the rise, and there is an obvious trend of cross-disciplinary research. (2) Transport infrastructure will promote the development of territorial space in terms of land use change, spatial-temporal compression, and economic development, and will affect the protection of territorial space in terms of ecological impacts, energy consumption and carbon emissions, and the crossing of protection zones. (3) In the existing research, the lack of multi-dimensional indicator system construction and analysis, insufficient research at the mechanism level, and insufficient combination of theoretical research and practical application are the main problems at present, and an important direction is urgently needed for future research.
“…After years of progression and construction, the YEB has achieved a transformative shift from a "regional economy" to a "river basin economy." A dynamic scenario has unfolded, The average levels of industrial agglomeration of three major industries in the YEB in 2005-2019. Frontiers in Environmental Science frontiersin.org characterized by industrial agglomeration, intra-industry competition and the diverse spread of industries (Zhang et al, 2023a). Parallel to the economic advancement, the impact of industrial spatial arrangement on PM 2.5 pollution has garnered widespread attention in society.…”
Introduction: The uncertainty associated with PM2.5 pollution hinders the economic high-quality development and threatens public health. Industrial agglomeration stands as a critical factor in regional economic and environmental governance, and the current studies about its impact on PM2.5 pollution are mostly limited to a specific industry or unidirectional influence.Methods: Our study constructed spatial econometric models to analyze the effect of three major industrial agglomerations on PM2.5 pollution, based on evidence from 110 prefecture-level cities of the Yangtze River Economic Belt in 2005–2019.Results: The results show that: 1) The three major industrial agglomerations and PM2.5 pollution present different spatiotemporal characteristics and show prominent positive spatial autocorrelation and agglomeration effect. 2) The primary industrial agglomeration contributes to a decrease in PM2.5 pollution and exhibits negative spatial spillover effects. A nonlinear relationship is observed between the secondary industrial agglomeration and PM2.5 pollution. The tertiary industrial agglomeration results in an increase in PM2.5 pollution. 3) The effects of secondary industrial agglomeration on PM2.5 pollution exhibit varying degrees of ‘inverted U-shape’ curves in the upstream, midstream, and downstream cities. The midstream cities are the first to reach the inflection point of agglomeration. 4) Industrial agglomeration affects PM2.5 pollution through three mechanisms, including scale expansion effect, technological spillover effect, and population scale effect.Discussion: Based on the empirical findings, this study provides scientific support and decision-making reference to improve the positive impacts of industrial agglomerations on PM2.5 pollution.
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