FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4378576490> ?p ?o ?g. }

• W4378576490 endingPage "110399" @default.
• W4378576490 startingPage "110399" @default.
• W4378576490 abstract "The increase in the consumption of resources required for social progress and the continuous deterioration of the ecological environment has brought heavy pressure to the sustainable development of the Yangtze River Economic Belt (YREB). This article applied the Hybrid Entropy-TOPSIS method to evaluate the resources-environmental pressure (REP), used the Logarithmic Mean Divisa Index (LMDI) method to identify driving factors, and utilized the Tapio decoupling model to analyze the relationship between economic growth and REP in 110 cities in the YREB. The main contribution of this study is the dynamic evolution of the decoupling relationship from perspective of the city unit, and profoundly depicts the interaction between resources-environmental factors and economic growth. The main results are as follows: (1) In the time dimension, the REP of 74.55% of the YREB's cities has continued to increase over 15 years, and the numerical differences between different cities are significant. In 2019, 24.55% of cities were under medium-pressure and high-pressure levels. In the spatial dimension, the city's REP is more prominent in the eastern part of the YREB and more decentralized in the central and western regions. The internal composition analysis of REP shows that the pressure caused by pollutant discharge is slowly reduced, and the pressure caused by unreasonable consumption of resources is increasing year by year. (2) The economic effect (EE) is the most important driving factor to influence REP in YREB, while the pressure intensity effect (PIE) is one of the main driving factors to influence the REP. In the temporal dimension, the development structural effect (DSE) is not significant. However, in the spatial dimension, it has more prominent characteristics in the west. The effect of population effects (PE) on REP is very weak. (3) The decoupling relationship between economic growth and REP shows a trend of weak decoupling from 2006 to 2010, strong decoupling from 2011 to 2015, and the coexistence of multiple types of decoupling from 2016 to 2019. In terms of spatial distribution characteristics in 2019, the strong decoupling (48 cities), weak decoupling (37 cities), and deteriorating decoupling (25 cities) showed uniform distribution in the YREB. In addition, the decoupling stability of 21 cities is poor, mainly resource-dependent cities distributed in Guizhou, Anhui, and Jiangsu Provinces. This article will provide a reference for the high-quality development and ecological environment protection of regions in the YREB." @default.
• W4378576490 created "2023-05-28" @default.
• W4378576490 creator A5008852328 @default.
• W4378576490 creator A5021135055 @default.
• W4378576490 creator A5027929009 @default.
• W4378576490 creator A5047824680 @default.
• W4378576490 creator A5052068295 @default.
• W4378576490 creator A5052537173 @default.
• W4378576490 creator A5071584686 @default.
• W4378576490 date "2023-09-01" @default.
• W4378576490 modified "2023-10-16" @default.
• W4378576490 title "Decoupling of economic growth and resources-environmental pressure in the Yangtze River Economic Belt, China" @default.
• W4378576490 cites W1522204718 @default.
• W4378576490 cites W1999167944 @default.
• W4378576490 cites W2002760855 @default.
• W4378576490 cites W2145087652 @default.
• W4378576490 cites W2165509830 @default.
• W4378576490 cites W2464815278 @default.
• W4378576490 cites W2512988484 @default.
• W4378576490 cites W2544638700 @default.
• W4378576490 cites W2734759445 @default.
• W4378576490 cites W2751019520 @default.
• W4378576490 cites W2790824000 @default.
• W4378576490 cites W2795941192 @default.
• W4378576490 cites W2807673060 @default.
• W4378576490 cites W2883168693 @default.
• W4378576490 cites W2888214281 @default.
• W4378576490 cites W2915593686 @default.
• W4378576490 cites W2943283914 @default.
• W4378576490 cites W2944457171 @default.
• W4378576490 cites W2955680747 @default.
• W4378576490 cites W2955950998 @default.
• W4378576490 cites W2961478394 @default.
• W4378576490 cites W2968431519 @default.
• W4378576490 cites W2993741513 @default.
• W4378576490 cites W2996868188 @default.
• W4378576490 cites W3021419382 @default.
• W4378576490 cites W3047287703 @default.
• W4378576490 cites W3083895498 @default.
• W4378576490 cites W3084121419 @default.
• W4378576490 cites W3119102349 @default.
• W4378576490 cites W3123032972 @default.
• W4378576490 cites W3129794534 @default.
• W4378576490 cites W3130481019 @default.
• W4378576490 cites W3155136186 @default.
• W4378576490 cites W3166833867 @default.
• W4378576490 cites W3170233338 @default.
• W4378576490 cites W3198486959 @default.
• W4378576490 cites W3202382343 @default.
• W4378576490 cites W3203380051 @default.
• W4378576490 cites W3208175703 @default.
• W4378576490 cites W3212557772 @default.
• W4378576490 cites W4213072451 @default.
• W4378576490 cites W4224864036 @default.
• W4378576490 cites W4283771942 @default.
• W4378576490 cites W4309343523 @default.
• W4378576490 cites W4360987161 @default.
• W4378576490 cites W4362559942 @default.
• W4378576490 cites W935381980 @default.
• W4378576490 doi "https://doi.org/10.1016/j.ecolind.2023.110399" @default.
• W4378576490 hasPublicationYear "2023" @default.
• W4378576490 type Work @default.
• W4378576490 citedByCount "1" @default.
• W4378576490 countsByYear W43785764902023 @default.
• W4378576490 crossrefType "journal-article" @default.
• W4378576490 hasAuthorship W4378576490A5008852328 @default.
• W4378576490 hasAuthorship W4378576490A5021135055 @default.
• W4378576490 hasAuthorship W4378576490A5027929009 @default.
• W4378576490 hasAuthorship W4378576490A5047824680 @default.
• W4378576490 hasAuthorship W4378576490A5052068295 @default.
• W4378576490 hasAuthorship W4378576490A5052537173 @default.
• W4378576490 hasAuthorship W4378576490A5071584686 @default.
• W4378576490 hasBestOaLocation W43785764901 @default.
• W4378576490 hasConcept C127413603 @default.
• W4378576490 hasConcept C133731056 @default.
• W4378576490 hasConcept C136264566 @default.
• W4378576490 hasConcept C162324750 @default.
• W4378576490 hasConcept C166957645 @default.
• W4378576490 hasConcept C18903297 @default.
• W4378576490 hasConcept C191935318 @default.
• W4378576490 hasConcept C205606062 @default.
• W4378576490 hasConcept C205649164 @default.
• W4378576490 hasConcept C39432304 @default.
• W4378576490 hasConcept C552854447 @default.
• W4378576490 hasConcept C83516724 @default.
• W4378576490 hasConcept C86803240 @default.
• W4378576490 hasConceptScore W4378576490C127413603 @default.
• W4378576490 hasConceptScore W4378576490C133731056 @default.
• W4378576490 hasConceptScore W4378576490C136264566 @default.
• W4378576490 hasConceptScore W4378576490C162324750 @default.
• W4378576490 hasConceptScore W4378576490C166957645 @default.
• W4378576490 hasConceptScore W4378576490C18903297 @default.
• W4378576490 hasConceptScore W4378576490C191935318 @default.
• W4378576490 hasConceptScore W4378576490C205606062 @default.
• W4378576490 hasConceptScore W4378576490C205649164 @default.
• W4378576490 hasConceptScore W4378576490C39432304 @default.
• W4378576490 hasConceptScore W4378576490C552854447 @default.
• W4378576490 hasConceptScore W4378576490C83516724 @default.

• next