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| 1 |
ID:
192322
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| Summary/Abstract |
As urbanization and economic development continue to accelerate, social equity issues are becoming increasingly prominent and the urban–rural income gap is an important manifestation of this. This study uses the data of urban clusters from 2010 to 2019 and focuses on the relationship between the polycentric spatial structure of urban clusters and the urban–rural income gap. The findings show that the development of urban cluster polycentricity can reduce the urban–rural income gap, and the higher the degree of polycentricity in morphology, the smaller the gap. However, the relationship between polycentric spatial structure and the urban–rural income gap is “U” shaped, indicating the need for rational planning of urban polycentric development patterns rather than simple expansion. In addition, the polycentric spatial structure of urban clusters can reduce regional disparities by promoting factor mobility and industrial structure optimization. However, this depends on the level of industrial development and infrastructure. This study highlights the importance of a balanced approach to urban development that takes into account regional disparities and issues of social equity.
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| 2 |
ID:
177353
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| Summary/Abstract |
Against the background of the increasing number of large and medium-sized cities and the improvement of the intercity transportation infrastructure, a polycentric urban network is gradually emerging in China. Based on panel data of 23 provinces of China over the period of 1998–2018, the dynamic impact of the polycentric spatial structure on the energy efficiency and the mechanism of this impact are explored in this paper. First, the results reveal that there exists an inverted U-shaped relationship between the polycentric spatial structure and the energy efficiency. Nevertheless, the polycentric spatial structure has not yet reached the optimal level in all provinces. Second, the market integration and factor flow are important paths for the polycentric spatial structure to affect the energy efficiency. Third, the inverted U-shaped impact of the polycentric spatial structure on the energy efficiency is mainly reflected in the eastern and central regions, while the phenomenon is not significant in the western region. Finally, the distances between cities and the level of the transportation infrastructure have significant non-linear moderating effects in the process of the polycentric spatial structure affecting the energy efficiency. These findings provide empirical evidence for the coordinated development of China's regional space planning and energy efficiency.
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