Impact of geological background on city development

Zhang, Ming; Wu, Weicheng; Guan, Tao; Lin, Ziyu; Guo, Fei; Zhou, Xiaoting; Liu, Yixuan; Jiang, Jingheng; Li, Jie; Fu, Xiao; He, Yecheng; Song, Yu; Ke, Xinxin; Li, Yuan; Li, Wenjing; Zhou, Cuimin; Qin, Yixuan; Zhu, Min

doi:10.1016/j.jag.2023.103243

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Influencing Factors Of Urban Distribution1

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Cited by 3 publications

(1 citation statement)

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“…On the other hand, the distribution of cities is mainly constrained by deep faults, the appearance of cities is negatively correlated with the distance to the deep fault zone, which means that the closer to the fault, the better the conditions for urban development. This is because faults of different scales provide different conditions in space for the development of valley drainage system and mineral deposits [18] .…”

Section: Influencing Factors Of Urban Distributionmentioning

confidence: 99%

Mapping the suitable areas for future urbanization in Jiangxi, China

Zhang,

Wu,

Zhu

et al. 2024

International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2024)

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Section: Influencing Factors Of Urban Distributionmentioning

confidence: 99%

Mapping the suitable areas for future urbanization in Jiangxi, China

Zhang,

Wu,

Zhu

et al. 2024

International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2024)

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The impact of China’s information infrastructure construction policy on green total factor productivity: moving towards a green world

He,

Liang,

Liang

et al. 2023

Environ Sci Pollut Res

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While achieving economic growth, China's cities have also experienced severe environmental pollution problems. To achieve the goal of green production, this paper first measures the green total factor productivity (GTFP) of Chinese prefecture-level cities using the super Slacks-Based Measure and the global Malmquist-Luenberger index (SBM-GML) model and then explores the paths affecting GTFP from the perspective of information infrastructure construction policy (IICP) using a time-varying Difference-in-Difference (time-varying DID) model. The results show that the information infrastructure construction policy significantly contributes to urban GTFP growth overall, and the implementation of the policy leads to an average increase of 0.209 in pilot cities relative to non-pilot cities. The information infrastructure construction policy contributes to urban GTFP growth through green technology diffusion effects and the improvement of employment structure.

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Landslide susceptibility assessment through multi-model stacking and meta-learning in Poyang County, China

Song,

Wang

et al. 2024

Geomatics, Natural Hazards and Risk

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Impact of geological background on city development

Cited by 3 publications

References 32 publications

Mapping the suitable areas for future urbanization in Jiangxi, China

Mapping the suitable areas for future urbanization in Jiangxi, China

The impact of China’s information infrastructure construction policy on green total factor productivity: moving towards a green world

Landslide susceptibility assessment through multi-model stacking and meta-learning in Poyang County, China

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