Ecological Poverty and Economic Welfare: Are There an Ecology or Economy Tradeoff for the National Key Ecological Function Area Policy in China? DOI
Hao Wang,

Weiguang Wu,

Lichun Xiong

et al.

Published: Jan. 1, 2023

China implemented the world's largest ecological compensation program, National Key Ecological Function Area (NKEFA) policy, aimed at breaking vicious cycle of poverty and environment. However, previous studies have often failed to consider environmental effects largely ignored distortions encouraged by policy. This study used panel data from 1749 county-level units 2002 2020, combined with remote sensing Geographical Information System data, quantify indicators. We utilized a multi-period difference-in-differences model identify impact NKEFA policy on rural residents’ incomes in pilot counties their differences. Finally, we examined mechanisms effectiveness perspective administrative constraints fiscal incentives. There were three main results. Firstly, has significantly improved promoted income growth among residents. reduction displayed rebound effect trend improvement followed deterioration, caused inadequate incentives, leading local government distortion behavior. Rural tended increase continuously. Secondly, is premised weakening development such as industrial development, aided some level migration. this also leads reduced revenues, increased expenditures, expanded deficits. The substantial depends intervention, specifically through non-agricultural labor transfer transformation-based agricultural production efficiency promotion-induced incomes. Thirdly, yielded more apparent improvements for ecologically impoverished, resource-dependent, economically strong, backbone counties. resource-dependent experienced negative effects. These findings provide practical Chinese-style example global eco-poverty policies developing countries.

Language: Английский

Is there an environment and economy tradeoff for the National Key Ecological Function Area policy in China? DOI
Hao Wang,

Weiguang Wu,

Lichun Xiong

et al.

Environmental Impact Assessment Review, Journal Year: 2023, Volume and Issue: 104, P. 107347 - 107347

Published: Nov. 16, 2023

Language: Английский

Citations

17
Assessing the conservation effectiveness of theWorld’s protected areas: A habitat quality and human activities perspective DOI
Liyan Yang,

Chenchen Bian,

Sipei Pan

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 431, P. 139772 - 139772

Published: Nov. 17, 2023

Language: Английский

Citations

12
Geographical big data and data mining: A new opportunity for “water-energy-food” nexus analysis DOI
Jie Yang,

Xiaoshu Cao,

Jun Yao

et al.

Journal of Geographical Sciences, Journal Year: 2024, Volume and Issue: 34(2), P. 203 - 228

Published: Jan. 26, 2024

Language: Английский

Citations

4
The Combined Effects of Topography and Climate Factors Dominate the Spatiotemporal Evolution of the Ecological Environment in the Yangtze River Economic Belt DOI Open Access

Shouhai Shi,

Hua Qiu, Shunping Ji

et al.

Land Degradation and Development, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 20, 2025

ABSTRACT The Yangtze River Economic Belt (YREB) is a key eco‐environmental protection barrier and economic engine in China. Understanding the characteristics of its spatiotemporal evolution mechanisms driving these changes important for revealing shifts ecosystem structure function. However, governing elements ecological environment how components interact remain unclear due to strong coupling impact urbanization climate change. This paper constructed long‐term series remote sensing based index (RSEI) evaluate variation YREB during 2000–2024. Subsequently, fundamental reasons were quantitatively analyzed using optimal parameters‐based geographical detector (OPGD). Results indicated: (1) average RSEI was 0.68, indicating rather high overall quality (EEQ), with 73% region having values more than 0.60. regions excellent conditions concentrated Zhejiang, Jiangxi, Guizhou, Hunan, while poorer areas northwestern Yunnan, southwestern Sichuan, western Hubei. (2) EEQ mainly showed degradation trend, degraded exceeding 80% over past 25 years. In future, most might face higher risks degradation. (3) Digital elevation model (DEM), temperature (Tem), population (POP) factors environment. There significant interactions between certain factors, interaction DEM potential evapotranspiration (Pet) explaining 62.2% distribution. findings assisted creation an civilization by offering policy proposals managing conserving environments.

Language: Английский

Citations

0
Harmony in Extraction: A Variable Weight Theory Approach to Unraveling the Ecological Security Veins in China's Rare Earth Mining Under Variable Pressures DOI Creative Commons
Jianying Zhang, Hengkai Li,

Beiping Long

et al.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Year: 2024, Volume and Issue: 17, P. 10726 - 10739

Published: Jan. 1, 2024

The unique mining process of China's ion-adsorption rare earth (RE) mines has changed the structure mine ecosystem, and interplay between natural red soil characteristics economic social activities exacerbated environmental problems such as degradation regional vegetation cover erosion. These issues have had a profound detrimental impact on ecological security (ES) areas. existing static evaluation study cannot comprehensively assess ES status dynamic evolution trend area, meet needs complex ecosystem in area. Therefore, this article constructs an index system based driver-pressure-state-impact-response-management causal framework model, uses variable weight (VW) theory to formulate penalty-dominated state VW function calculate values indicators different contexts each year unit. Finally, spatial temporal Lingbei RE area is carried out during period from 2000 2020. geodetector model then applied reveal driving factors impacting time periods. results show that 1) Compared constant method, can provide more detailed distribution level which good application value small dispersed ionic 2) overall shows deterioration followed by improvement finally stabilization. 3) health one most important site, interaction any two greater than explanatory power individual factors. This provided insights into sustainable development

Language: Английский

Citations

3
Challenges in developing information and communication technology (ICT) use for rural e‐governance: An ecology perspective DOI

Minghuan Shou,

Furong Jia, Jie Yu

et al.

Information Systems Journal, Journal Year: 2024, Volume and Issue: unknown

Published: June 27, 2024

Abstract The utilisation of information and communication technology (ICT) has a profound impact on e‐governance across countries, albeit, with limited attention to rural areas. existing literature this topic either examines the positive effects ICT use at individual level or from urban–rural dichotomy perspective. Meanwhile, majority studies are conducted within an urban context, but they scarcely focus identifying challenges in developing e‐governance. As such, we contend that ecology perspective is necessary identify specific distinctions various ecosystems. To end, employ empirical specifications, namely fixed‐effects model instrumental variable approach, provide evidence distinct influences follows, adopt qualitative research approach gather differentiations diverse Subsequently, have identified five crucial obstacles encountered by ecosystems Western China while attempting develop Furthermore, delineate all‐encompassing internal‐external strategy overcome these challenges.

Language: Английский

Citations

1
Evaluation of Resource and Environmental Carrying Capacity at Provincial Level in China Using a Pressure–Support–Adjustment Ternary System DOI Open Access
Ying Peng,

Xingyu Tan,

Zhanglin Zhu

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(19), P. 8607 - 8607

Published: Oct. 3, 2024

Resources and environment are essential elements of social economic development. Whether the current resources can sufficiently support development is an important scientific issue. Existing studies have not reached a consensus on definition, assessment, forewarning methods resource environmental carrying capacity (RECC). Therefore, this study puts forward ternary theoretical system RECC from perspective pressure, support, adjustment, constructs novel evaluation indices RECC, introduces model, proposes hierarchical method with threshold 1. Furthermore, empirical demonstration 31 provinces in China presented. The results show that: (1) average index areas revealed downward trend 2012 to 2021, indicating gradually improving RECC; (2) central were always high, which manifests poor (3) number at Alert Level III decreased 18 7, Non-Alert increased 6 8.

Language: Английский

Citations

1
Dynamic Matching and Spatial Optimization of Land Use and Resource-Environment Constraints in Typical Regions of the Yellow River Basin in China DOI Creative Commons
Ze Yu, DeSheng Su, Shilei Wang

et al.

Land, Journal Year: 2023, Volume and Issue: 12(7), P. 1420 - 1420

Published: July 15, 2023

Accurately identifying the matching relationships between territorial space evolution and resources environment carrying capacity will directly guide sustainable use of space. Based on evaluation dynamics lower Yellow River, this paper evaluates suitability development by focusing ecological protection, agricultural development, urban construction. Specifically, is estimated mediating potential conflicts in The relationship identified using degree model. results demonstrated that: (1) Between 2000 2020, River was relatively stable, while generally shrinking, continued to increase; (2) characteristics for construction are characterized landform land-sea differentiation. scale based increasing yearly, followed space, which gradually decreasing, first increased then decreased; (3) index resource environmental exhibited a downward trend, regional difference increased. Furthermore, indicated an upward decreased.

Language: Английский

Citations

1
An Empirical Examination of the Coupling Coordination Development of Energy Environment and Socioeconomic: A Case Study of the Yangtze River Economic Belt in China DOI Open Access
Wei Huang, Yang Yang

Polish Journal of Environmental Studies, Journal Year: 2024, Volume and Issue: 33(3), P. 3193 - 3207

Published: Feb. 26, 2024

Investigating the degree of coupled energy environment (EE) and socioeconomic (SE) coordination is becoming a commonly understood necessity in process achieving SDGs.The provinces along Yangtze River Economic Belt (YREB) China have significant spatial variations their endowment, industrial structure, ecological environment, assessing spatiotemporal evolution EE SE can provide valuable insights into development trajectory area.This work revealed interaction mechanism between developed novel coupling analysis framework, which integrated dynamic deviation maximum method improved model.The used to evaluate performance subsystem subsystem, while (CCD) model assess effect YREB.The results show that overall CCD demonstrated growing trend over time forms pattern downstream>midstream>upstream.Additionally, investment intensity structure environmental management has catalytic on CCD, whereas pollution emissions, consumption, fixed asset suppressive effect.These findings for decision-making urban planning, large-scale engineering construction, transformation, green low-carbon development.

Language: Английский

Citations

0
The Influence of Innovative Resources on the Comprehensive Carrying Capacity of China’s Urban Agglomerations: A System Dynamics Perspective DOI Open Access

Lifang Yan,

Wenzhong Ye,

Hui Long

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(14), P. 6191 - 6191

Published: July 19, 2024

The sustainable development of urban agglomerations greatly relies on their comprehensive carrying capacity (CCC). As society evolves, innovative resources emerge as core assets and serve crucial pillars this capacity. Despite existing CCC studies, the influence remains underexplored. This study analyzes 19 in China using a system dynamics approach. We find that are an important subsystem CCC. Increasing is effective strategy for enhancing CCC, yet effects different types vary. Merely increasing number universities research institutions does not significantly improve level. expenditures higher education institutions, internal R&D, patents approaches to enhance Moreover, these factors can form virtuous cycle, mutually promoting innovation development, thus injecting new momentum into agglomerations.

Language: Английский

Citations

0