Spatial and temporal variation of economic resilience and its drivers: Evidence from Chinese cities DOI Creative Commons
Huang Jie, Qianqian Li, Minzhe Du

et al.

Frontiers in Environmental Science, Journal Year: 2023, Volume and Issue: 11

Published: Feb. 16, 2023

Based on panel data of 282 cities in China from 2005 to 2019, this paper constructs an economic resilience evaluation index system three dimensions and applies the entropy value method measure it. The two-stage nested Thiel index, kernel density estimation geographic detector methods are also used explore characteristics their spatial temporal divergence driving factors. We find that Chinese has increased rapidly over sample period, but with significant variation, intra-provincial variation being main source overall variation. Without considering conditions, a strong stability. In case factors have impact low resilience, not high resilience. Differences technological innovation capabilities key driver cities. interaction any two enhances respective effects differentiation above findings, should actively targeted differentiated ways improve based comparative advantages, accelerate construction collaborative improvement mechanism for urban support China. Our findings provide useful reference promoting concerted

Language: Английский

Understanding the spatial relationships and drivers of ecosystem service supply-demand mismatches towards spatially-targeted management of social-ecological system DOI
Jiashu Shen, Shuangcheng Li, Huan Wang

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 406, P. 136882 - 136882

Published: March 31, 2023

Language: Английский

Citations

99

On the urban compactness to ecosystem services in a rapidly urbanising metropolitan area: Highlighting scale effects and spatial non–stationary DOI
Peiheng Yu, Shujin Zhang, Esther H.K. Yung

et al.

Environmental Impact Assessment Review, Journal Year: 2022, Volume and Issue: 98, P. 106975 - 106975

Published: Nov. 4, 2022

Language: Английский

Citations

74

Potential heterogeneity of urban ecological resilience and urbanization in multiple urban agglomerations from a landscape perspective DOI
Teng Zhang, Yixuan Sun, Xiaobo Zhang

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 342, P. 118129 - 118129

Published: May 10, 2023

Language: Английский

Citations

47

Pathways to achieve carbon emission peak and carbon neutrality by 2060: A case study in the Beijing-Tianjin-Hebei region, China DOI
Jinyan Zhan, Chao Wang, Huihui Wang

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2023, Volume and Issue: 189, P. 113955 - 113955

Published: Nov. 6, 2023

Language: Английский

Citations

47

Spatiotemporal changes and driving forces of ecological security in the Chengdu-Chongqing urban agglomeration, China: Quantification using health-services-risk framework DOI
Weijie Li,

Jinwen Kang,

Yong Wang

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 389, P. 136135 - 136135

Published: Jan. 20, 2023

Language: Английский

Citations

46

Unveiling spatial heterogeneity of ecosystem services and their drivers in varied landform types: Insights from the Sichuan-Yunnan ecological barrier area DOI
Chen Li, Weifeng Qiao, Binpin Gao

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 442, P. 141158 - 141158

Published: Feb. 1, 2024

Language: Английский

Citations

22

Scale dependency of trade-offs/synergies analysis of ecosystem services based on Bayesian Belief Networks: A case of the Yellow River Basin DOI

Lại Hải Đăng,

Fen Zhao, Yanmin Teng

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 375, P. 124410 - 124410

Published: Feb. 1, 2025

Language: Английский

Citations

2

Variations in Ecosystem Service Value and Its Driving Factors in the Nanjing Metropolitan Area of China DOI Open Access
Shulin Chen, Xiaotong Liu, Yang Li

et al.

Forests, Journal Year: 2023, Volume and Issue: 14(1), P. 113 - 113

Published: Jan. 6, 2023

More than 60% of the world’s ecosystem services have deteriorated over past few decades. Studying spatio-temporal fluctuations in service value and its influencing factors is important for identifying regional issues, upholding ecological harmony, encouraging regionally healthy coordinated sustainable development. Ecosystem has so far been studied primarily relation to effect socioeconomic physical–geographical variables. However, trade-offs synergies among values also drive variations value. Few studies conducted date investigate between their impact on Therefore, this paper used sensitivity analysis, correlation a Geodetector examine changes within Nanjing metropolitan region. The decreased somewhat overall 2000 2020, with decline rate 2.19 million CNY/year. In comparison north region, was relatively higher south. water bodies had highest total value, followed by forest land, cultivated grassland, construction land unused having lowest overall. main factor spatial population density, while were digital elevation model, normalized difference vegetation index, precipitation. As result, area should tighten grip excessive growth. contrast expository strength single influence all individual elements under interaction significantly increased, index gross economic product most obvious variation influenced supply services, regulation support cultural services. need be considered land-use decisions.

Language: Английский

Citations

36

An analysis of regional carbon stock response under land use structure change and multi-scenario prediction, a case study of Hefei, China DOI Creative Commons
Yiling Wang, Dongdong Liang, Jian Wang

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 151, P. 110293 - 110293

Published: April 27, 2023

As the largest global carbon pool system, terrestrial ecosystems have an important role to maintain stability of ecosystems. Human activities affect structural changes in ground surface and interfere with ecosystem evolution, consequently, stock is changed region. Therefore, forecasting future under different land use scenarios has research implications for promoting stable evolution cycling This study conducted data from 2000 2020, incorporates Patch-generating Land Use Simulation model Integrated Valuation Ecosystem Services Trade-Offs analyze Hefei, its influence on Hefei various scenarios. During period, mutual conversion between types City made structure change within area more significant. The rapidly evolving reason decrease storage ecosystems, a cumulative 1.2 × 108 t. spatial distribution shows pattern low north high south. obviously banded area. obvious storage. Compared natural development scenario, downward trend ecological protection scenario comprehensive slowed down due restrictions transformation implementation relevant policies. this will support management policy making background China's "double carbon" target significant position City.

Language: Английский

Citations

28

Estimation of household energy poverty and feasibility of clean energy transition: Evidence from rural areas in the Eastern Qinghai-Tibet Plateau DOI

Chunyue Bai,

Jinyan Zhan, Huihui Wang

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 388, P. 135852 - 135852

Published: Jan. 2, 2023

Language: Английский

Citations

24