Spatial Pattern and Mechanism of the Life Service Industry in Polycentric Cities: Experience from Wuhan, China

Cui, Xufeng; Zhang, Jing; Huang, Wei; Liu, Cuicui; Shan, Ling; Jiang, Yuehua

doi:10.1061/jupddm.upeng-4252

Cited by 4 publications

(3 citation statements)

References 48 publications

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“…Kernel density estimation is a method to calculate the density of point elements in their neighborhood, which directly reflects the spatial distribution pattern of elements [46]. Its calculation formula is as follows [45]:…”

Section: Kernel Density Estimationmentioning

confidence: 99%

Identifying the Spatial Patterns and Influencing Factors of Leisure and Tourism in Xi’an Based on Point of Interest (POI) Data

Qu,

Xu,

et al. 2023

Land

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Leisure and tourism spaces are shared by both residents and tourists seeking a higher quality of life. Most of the literature focuses only on the study of a particular type of leisure or tourism space in cities and lacks an overall exploration of the distribution patterns of urban leisure and tourism formats. Based on the leisure and tourism point of interest (POI) data of 11 districts in Xi’an, this paper uses geospatial analysis to examine the spatial patterns of leisure and tourism facilities and their influencing factors in Xi’an. It is found in this study that the distributions overall and the various types of leisure and tourism spaces in Xi’an show the characteristics of central urban agglomeration and sparse dispersion in the surrounding urban areas. Different types of leisure and tourism patterns have obvious spatial scale dependence, but there are differences in the scope of spatial selection. In general, the core agglomeration area has limited radiation and driving effects on the peripheral areas, and there is a prominent phenomenon of imbalance in the distribution of leisure and tourism facilities following a single industrial structure. The formation of the spatial patterns of leisure and tourism is the result of a combination of dominant factors, driving factors, safeguarding factors, and other triggering factors. Urban leisure and tourism spaces are intertwined, and the spatial balance and industrial diversification of leisure and tourism can be promoted through scientific spatial planning. This study aims to provide services for urban land planning and policy-making by revealing the spatial distribution principles of leisure and tourism sites in tourist cities as represented by Xi’an.

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Section: Kernel Density Estimationmentioning

confidence: 99%

Identifying the Spatial Patterns and Influencing Factors of Leisure and Tourism in Xi’an Based on Point of Interest (POI) Data

Qu,

Xu,

et al. 2023

Land

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show abstract

“…This study uses Kernel density estimation to systematically describe the distribution's location, shape, extensibility, and polarization characteristics for the UGHQD levels of the five major urban agglomerations throughout the sample period. Let the density function f (c) for the random variable X at point c be formulated as [64,74]:…”

Section: Kernel Densitymentioning

confidence: 99%

Unveiling the Spatio-Temporal Evolution and Key Drivers for Urban Green High-Quality Development: A Comparative Analysis of China’s Five Major Urban Agglomerations

Yu,

Huang,

Jia

et al. 2023

Land

Self Cite

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Faced with the dual challenges of ecological degradation and economic deceleration, promoting urban green high-quality development (UGHQD) is pivotal for achieving economic transformation, ecological restoration, and regional sustainable development. While the existing literature has delved into the theoretical dimensions of UGHQD, there remains a notable dearth of empirical studies that quantitatively assess its developmental levels, spatio-temporal evolution, and driving factors. This study examines 107 cities of China’s five major urban agglomerations from 2003 to 2020, constructing a comprehensive evaluation indicator system for UGHQD. By employing methodologies, including the Dagum Gini coefficient, Kernel density estimation, Markov chain, and geographical detector, this study extensively assesses the spatial difference, dynamic evolution, and underlying driving forces of UGHQD in these urban agglomerations. The findings indicate: (1) The UGHQD level of the five major urban agglomerations has witnessed a consistent year-over-year growth trend, with coastal agglomerations like the Pearl River Delta (PRD) and Yangtze River Delta (YRD) outperforming others. (2) Pronounced regional differences exist in UGHQD levels across the urban agglomerations, with inter-regional differences primarily contributing to these differences. (3) The dynamic evolution of UGHQD distribution generally transitions from a centralized to a decentralized pattern, with a marked “club convergence” characteristic hindering cross-type leaps. (4) While a range of factors drive UGHQD in these agglomerations, technological innovation stands out as the principal factor inducing spatial differentiation. The comprehensive analysis and findings presented in this research not only contribute to academic knowledge but also hold practical implications for policymakers and practitioners striving for environmentally conscious land use planning and urban management.

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“…Consequently, China's ecological environment is now under severe pressure (Xiao et al, 2023). To improve the quality of economic development in the current new stage, it is necessary to take the initiative to explore intelligent green practice solutions (Cui et al, 2023). China has put up the strategic objective of achieving carbon peaking and carbon neutrality.…”

Section: Introductionmentioning

confidence: 99%

Low carbon cities pilot, executive environmental cognition, and enterprise green technology innovation

Xiao,

Dong,

Wang

2024

Manage Decis Econ

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The potential of the low carbon city pilot (LCCP) to foster enterprise green technology innovation (EGTI) is contingent upon enhancing the quality of urban development, improving the ecological environment, and ultimately achieving the objective of “double carbon” reduction. Due to this, this article uses data from Chinese A‐share listed businesses in Shanghai and Shenzhen from 2009 to 2021 to investigate the effect of LCCP on EGTI. It is found that LCCP significantly contributes to EGTI, and a number of robustness tests later, this finding remains valid. The mechanism analysis confirms that LCCP promotes EGTI by weakening economic policy uncertainty and increasing firms' R&D investment. Through the heterogeneity analysis, this paper explores that optimizing corporate staff structure, increasing media attention, and increasing government subsidies are effective paths to promote EGTI development with LCCP. The moderating effect confirms that executives' environmental cognition plays a positive moderating role between LCCP and EGTI. This paper enriches the related research on the evaluation of the effect of low‐carbon pilots and provides important policy insights for promoting the development of corporate green transformation.

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Spatial Pattern and Mechanism of the Life Service Industry in Polycentric Cities: Experience from Wuhan, China

Cited by 4 publications

References 48 publications

Identifying the Spatial Patterns and Influencing Factors of Leisure and Tourism in Xi’an Based on Point of Interest (POI) Data

Identifying the Spatial Patterns and Influencing Factors of Leisure and Tourism in Xi’an Based on Point of Interest (POI) Data

Unveiling the Spatio-Temporal Evolution and Key Drivers for Urban Green High-Quality Development: A Comparative Analysis of China’s Five Major Urban Agglomerations

Low carbon cities pilot, executive environmental cognition, and enterprise green technology innovation

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