Quantifying the spatial heterogeneity influences of natural and socioeconomic factors and their interactions on air pollution using the geographical detector method: A case study of the Yangtze River Economic Belt, China

Journal of Cleaner Production, Journal Year: 2019, Volume and Issue: 232, P. 692 - 704

Published: May 31, 2019

Language: Английский

---

Heavy metals in soils around non-ferrous smelteries in China: Status, health risks and control measures

Environmental Pollution, Journal Year: 2021, Volume and Issue: 282, P. 117038 - 117038

Published: March 31, 2021

Language: Английский

---

How does new-type urbanization affect air pollution? Empirical evidence based on spatial spillover effect and spatial Durbin model

Environment International, Journal Year: 2022, Volume and Issue: 165, P. 107304 - 107304

Published: May 25, 2022

To alleviate the ecological and environmental problems caused by rapid urban development, China has formulated implemented new-type urbanization strategy. However, there is insufficient empirical research on specific relationship between air pollution. Therefore, based panel data of 30 provinces in from 2005 to 2018, this paper constructs a comprehensive evaluation index system using five dimensions population, economy, space, society, green. The spatial Durbin model mediating are used discuss effect, transmission mechanism, regional heterogeneity results show that China's pollution mainly presents pattern high-high agglomeration low-low agglomeration, fluctuations. construction significantly reduces local pollution, industrial structure optimization, technological innovation, energy adjustment considered as important mechanisms. under fiscal decentralization political tournament China, policy implementation deviation may weaken emission reduction effect urbanization, which not conducive governance. From sub-regional level, impact heterogeneity. A robustness test confirms reliability our conclusions. This study also proposes some suggestions government can utilize grasping focus discover effective ways controlling

Language: Английский

---

Landscape ecological risk assessment and its driving factors of multi-mountainous city

Ecological Indicators, Journal Year: 2023, Volume and Issue: 146, P. 109823 - 109823

Published: Jan. 5, 2023

Urban land has been expanding under the background of rapid urbanization, which leads to increasingly prominent problem regional ecological security in multi-mountainous cities. In order scientifically formulate use policies and maintain pattern, it is necessary assess landscape risk (LER), explore its influencing factors, simulate LERs different scenarios future. This study takes Guiyang, a typical mountainous city karst area southwest China, as area. Based on three-phase remote sensing images, pattern index Geodetector method (GDM) were used LER corresponding driving factors from 2000 2020, PLUS model was urban development 2030. The results showed: (1) average (LERI) 2000, 2010, 2020 0.0341, 0.0320, 0.0304, respectively. shows that overall Guiyang low gradually decreases over time. (2) significant positive spatial autocorrelation, but autocorrelation with city. (3) From main LER, impact social growing (4) change 2030 varies significantly scenarios, among up zone natural scenario largest, followed by farmland protection scenario, priority smallest. will provide scientific basis reference for planning cities, planning, formulation relevant policies.

Language: Английский

---

Spatial structure and organization of the medical device industry urban network in China: evidence from specialized, refined, distinctive, and innovative firms

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: March 14, 2025

Investigating the network of firms in a specific industry helps explain industrial location and urban functions provides guidelines for promoting restructuring high-quality development. This study develops model relationship between cities based on data listed Specialized, Refined, Distinctive, Innovative (SRDI) medical device manufacturing China to identify spatial distribution influencing factors such using analysis GeoDetector. Three conclusions are obtained from study. First, SRDI exhibits sparse structure, with density decreasing east west, out-degree presenting significant concentration. Suzhou, Shanghai, Shenzhen core power. The in-degree presents low Clearly differentiated observed. Second, differences noted high- low-level linkage networks perspective corporate governance structure. Third, economic level, labour costs, level opening-up, talent base, technological innovation capability have effects firms.

Language: Английский

---

Using the geographical detector technique to explore the impact of socioeconomic factors on PM2.5 concentrations in China

Journal of Cleaner Production, Journal Year: 2018, Volume and Issue: 211, P. 1480 - 1490

Published: Nov. 23, 2018

Language: Английский

---

The effects of urbanization on PM2.5 concentrations in China's Yangtze River Economic Belt: New evidence from spatial econometric analysis

Journal of Cleaner Production, Journal Year: 2019, Volume and Issue: 239, P. 118065 - 118065

Published: Aug. 17, 2019

Language: Английский

---

The impact of foreign direct investment on urban PM2.5 pollution in China

Journal of Environmental Management, Journal Year: 2020, Volume and Issue: 265, P. 110532 - 110532

Published: April 9, 2020

Language: Английский

---

Spatiotemporal variation and socioeconomic drivers of air pollution in China during 2005–2016

Journal of Environmental Management, Journal Year: 2019, Volume and Issue: 245, P. 66 - 75

Published: May 27, 2019

Language: Английский

---

The environmental Kuznets curve for PM2.5 pollution in Beijing-Tianjin-Hebei region of China: A spatial panel data approach

Journal of Cleaner Production, Journal Year: 2019, Volume and Issue: 220, P. 984 - 994

Published: Feb. 23, 2019

Language: Английский

---