Global measurement of ecological footprint in the context of sustainable development DOI Open Access
Наталія Ковшун,

O Doroshenko,

I Zhydyk

et al.

IOP Conference Series Earth and Environmental Science, Journal Year: 2023, Volume and Issue: 1269(1), P. 012032 - 012032

Published: Nov. 1, 2023

Abstract The relationships between the ecological footprint indicator and level of achievement sustainable development goals at global were examined. Cluster analysis tools used to assess such by grouping countries with similar characteristics according these two indicators. As a consequence, four clusters identified. first cluster, which mainly includes African countries, is characterized low economic minimal impact on environment. It was determined that second cluster many European Union, Argentina, Brazil, Cuba Chile it’s high moderate nature. third India, Egypt, Indonesia other has footprint, indicating conservation natural resources an average goals. These have potential for harmonious social, development. established fourth achieved significant development, but they use large amounts resources. found common directions environmental policy SDG are fight against pollution, resource exhaustion climate change avoid decrease in quality life citizens.

Language: Английский

The impact of high-quality development on ecological footprint: An empirical research based on STIRPAT model DOI Creative Commons

Xianmin Li,

Shixiang Li, Chenyu Li

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 154, P. 110881 - 110881

Published: Aug. 28, 2023

It is urgent to coordinate the development of economy and environment under "dual carbon" goal. As China's new stage mode, high-quality takes into account both speed quality economic, providing possibility achieving a "win-win" situation for environment. In order test practical impact on ecological, based STIRPAT model, this paper introduces index instead per capita GDP, so as measure current economic in China, explore relationship between ecological footprint, demonstrates feasibility from theory practice. At same time, it pays attention complex effects population technology environmental quality. The results show that contradiction ecology still exists China. footprint 30 provinces past 21 years has increased whole, fworst concentrated Yellow River basin. But since 2012, growth slowed. slow down time low value region were observed, was found they overlapped with proposed high area development. level China also continued rise, regional differences but gradually narrowing. Among them, green shared contribute more improvement level. Compared traditional can reduce increase longer smaller increase, conducive long-term sustainable addition, factors are profoundly affecting pattern. size density, well proportion coal-based energy consumption structure, will lead pressure. reduction intensity help alleviate research helpful provide policy guidance path combination reference development, ideas global coordination

Language: Английский

Citations

26

Evaluation of coal-resource-based cities transformation based on CRITIC-TOPSIS model DOI
Xiaoli Du, Yan Wang, Fengxia Chen

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 103, P. 105271 - 105271

Published: Feb. 13, 2024

Language: Английский

Citations

14

Spatial spillover effects of conversion of new and old driving forces on high-quality development: Evidence from 283 cities in China DOI

Zheng Yang,

Jinyan Zhan, Chao Wang

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 108, P. 105487 - 105487

Published: April 29, 2024

Language: Английский

Citations

8

Employing artificial intelligence and enhancing resource efficiency to achieve carbon neutrality DOI
Yunfeng Shang,

Qin Yang,

Yuanjie Pu

et al.

Resources Policy, Journal Year: 2023, Volume and Issue: 88, P. 104510 - 104510

Published: Dec. 6, 2023

Language: Английский

Citations

19

The spatial spillover effect of financial growth on high-quality development: Evidence from Yellow River Basin in China DOI Creative Commons
Zhenhua Zhang, Chao Hua, Marshall S. Jiang

et al.

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: June 24, 2024

Abstract River basin cities are areas with remarkable conflicts between the human activity and ecological environment. They also important targets for policy implementation of sustainable high-quality development (HD) in various countries around world. This article exploits panel data 99 located Yellow Basin (YRB) from 2006 to 2019 empirically analyze spatial effect financial growth on HD. Spatial weights participated econometric models utilized this effect. Empirical results reveal that: (1) HD YRB shows a strong positive autocorrelation. (2) Financial exerts an N-shaped curve long-term perspective. When influence spills out surroundings, it exhibits inverted U-shaped characteristic. (3) Green innovation can be intermediary factor (4) The appears stronger regions higher economic levels, where effects transmitted surrounding regions. However, backward low-economy prevents spillover effects. study instrumental formulate policies that aim promote river cities.

Language: Английский

Citations

6

Spatio–Temporal Patterns and Driving Mechanisms of Urban Land High-Quality Use: Evidence from the Greater Pearl River Delta Urban Agglomeration DOI Creative Commons
Yuying Li, Danling Chen, Xiangqian Tao

et al.

Land, Journal Year: 2024, Volume and Issue: 13(3), P. 277 - 277

Published: Feb. 23, 2024

Efficient urban land use plays a crucial role in promoting regional development and ensuring economic growth. Analyzing the spatio–temporal pattern of high-quality (ULHU) identifying its key influencing factors pathways can contribute to enhancing efficiency achieving development. This study established comprehensive measurement indicator system for evaluating ULHU using entropy method investigated evolution Greater Pearl River Delta (PRD) agglomeration years 2005, 2010, 2015 2020. Furthermore, multi-period fuzzy-set qualitative comparative analysis was adopted explore concurrent driving mechanisms that impact from configuration perspective. The findings reveal level has exhibited significant improvement, increasing 0.1150 2005 0.2758 2020, with an annual growth rate 8.739%. spatial PRD region exhibits incremental distribution, characterized by higher values central lower peripheral area, as this reveals heterogeneity across region. configurations were identified, such Population-industry-talent driven, Openness-fiscal-talent Population-led, Population-industry driven. Among these configurations, population density industrial structure identified core factors, while talent resources is gradually diminishing. provides practical guidance optimizing national planning.

Language: Английский

Citations

4

Environmental responsibilities embodied in consumption behavior: A comparison between urban and rural residents in China DOI Creative Commons
Qiting Zuo, Zhizhuo Zhang, Qingsong Wu

et al.

Resources Environment and Sustainability, Journal Year: 2025, Volume and Issue: unknown, P. 100189 - 100189

Published: Jan. 1, 2025

Language: Английский

Citations

0

Classification and spatial characteristics of different development stages in China: Evidence from the contribution rate of production factors DOI Creative Commons

Zijie Li,

Xiangnan Liu, Lingfeng Xu

et al.

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(1), P. e0313069 - e0313069

Published: Jan. 14, 2025

This paper aims to reveal the changing characteristics of contribution rates different production factors in China since reform and opening up from two dimensions: stage space. The study used national data 1978 2021 provincial 2000 2020, combined with methods such as C-D function spatial econometrics for analysis. Research has found that: (1) In terms characteristics, during structural adjustment (1978-1998), economic growth mainly relies on capital labor input, rate land gradually decreases. During high-speed development (1998-2012), technological increased, while remained relatively stable. high-quality (2012 present), continued rise become dominant factor, decreased a lower level. (2) Regarding econometric model reveals significant agglomeration labor, positively affect local neighboring growth. From various provinces showed difference "low east high west," which year by year. have declined low levels all provinces; elements significantly higher southeast region; High-quality progress each province can be identified based factors. research findings help understand impact varying at temporal scale provide scientific basis achieving pattern rational allocation regional coordinated development.

Language: Английский

Citations

0

Impact of spatial correlation network structure on urban high-quality economic development: a case study of the Yangtze River Delta urban agglomeration DOI
Tiantian Li, Azhong Ye, Yuanye Zhang

et al.

Environment Development and Sustainability, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 17, 2025

Language: Английский

Citations

0

The coupling relationship and driving mechanism between ecological environment and high-quality economic development in the Middle Yellow River Basin DOI Creative Commons
Shuo Yang, Zhongwu Zhang, Jinyuan Zhang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 28, 2025

Promoting the dynamic balance between economic development and ecological environment is key to achieving "dual carbon" goals sustainable development. The Middle Yellow River Basin, characterized by severe soil erosion intensive resource utilization, serve as a critical area for advancing protection high-quality in Basin. This study examines spatial-temporal differentiation coupling coordination characteristics of (EE) (HQED) across 226 counties Basin from 2010 2020. Utilizing Random Forest model Geographical Temporal Weighted Regression model, investigates driving mechanism on environment. zoning management strategy proposed based types dominant factors, with aim providing theoretical support river basins. results show that: (1) During period, level initially declined then improved, while consistently increased. EE exhibited spatial pattern "southeast low, northwest high," distribution HQED was reverse. (2) degree considerably increased after 2015, displaying higher levels southeast lower central region, strong positive correlation. (3) cover rate, PM2.5 concentration, agricultural fertilizer application intensity, market activity make high contributions environment, making them drivers. rate strongest driver, concentration negative driver. There are evident differences among various factors. Ultimately, divided into six zones, corresponding strategies proposed.

Language: Английский

Citations

0