Xiaomin Wang, Xiaoyan Bu, Jiarui Wang, Lingna Du, Zhichang Hong, Ge Shi, Baqiatullah
{"title":"生态脆弱地区资源环境承载力与区域经济的协调及影响因素研究","authors":"Xiaomin Wang, Xiaoyan Bu, Jiarui Wang, Lingna Du, Zhichang Hong, Ge Shi, Baqiatullah","doi":"10.1016/j.ecolind.2024.112656","DOIUrl":null,"url":null,"abstract":"<div><div>The coordinated development of the resources, environment and social economy in ecologically fragile areas has become one of the urgent issues for all countries in the world. In this study, the ecologically fragile area of Ningxia was used as the typical case area. This study constructs a “four main subjects and eight dimensions” comprehensive evaluation model based on the Sustainable Development Goals (SDGs) to analyze the situation of the resource and environmental carrying capacity (<em>RECC</em>). This study employs the coupled coordination degree model and the obstacle degree model, integrating them with Pearson correlation analysis to quantitatively evaluate the coupled coordination relationship and influencing factors between <em>RECC</em> and socioeconomic development in Ningxia. The study shows that: (a) the <em>RECC</em> in Ningxia is on an upward trend, with obvious spatial differences, and the pressure on resources and environment in the provincial capital city is more obvious; (b) the coordination of <em>RECC</em> and socioeconomic development coupling in Ningxia is on a steady upward trend, but the internal development differences are more obvious, and the degree of coordination in the provincial capital cities is relatively high; (c) the coordinated development of <em>RECC</em> and socioeconomic development is affected by a combination of factors such as climate, water, soil, ecological resources, urbanization, and traffic accessibility in Ningxia. The findings offer scientific support for the coordination of socioeconomic development and resource environmental protection in ecologically fragile regions. Furthermore, they serve as a reference for promoting ecological civilization construction in fragile ecosystems globally.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"167 ","pages":"Article 112656"},"PeriodicalIF":7.0000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on the coordination and factors affecting the coupling of resource and environmental carrying capacity and regional economy in ecologically fragile areas\",\"authors\":\"Xiaomin Wang, Xiaoyan Bu, Jiarui Wang, Lingna Du, Zhichang Hong, Ge Shi, Baqiatullah\",\"doi\":\"10.1016/j.ecolind.2024.112656\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The coordinated development of the resources, environment and social economy in ecologically fragile areas has become one of the urgent issues for all countries in the world. In this study, the ecologically fragile area of Ningxia was used as the typical case area. This study constructs a “four main subjects and eight dimensions” comprehensive evaluation model based on the Sustainable Development Goals (SDGs) to analyze the situation of the resource and environmental carrying capacity (<em>RECC</em>). This study employs the coupled coordination degree model and the obstacle degree model, integrating them with Pearson correlation analysis to quantitatively evaluate the coupled coordination relationship and influencing factors between <em>RECC</em> and socioeconomic development in Ningxia. The study shows that: (a) the <em>RECC</em> in Ningxia is on an upward trend, with obvious spatial differences, and the pressure on resources and environment in the provincial capital city is more obvious; (b) the coordination of <em>RECC</em> and socioeconomic development coupling in Ningxia is on a steady upward trend, but the internal development differences are more obvious, and the degree of coordination in the provincial capital cities is relatively high; (c) the coordinated development of <em>RECC</em> and socioeconomic development is affected by a combination of factors such as climate, water, soil, ecological resources, urbanization, and traffic accessibility in Ningxia. The findings offer scientific support for the coordination of socioeconomic development and resource environmental protection in ecologically fragile regions. Furthermore, they serve as a reference for promoting ecological civilization construction in fragile ecosystems globally.</div></div>\",\"PeriodicalId\":11459,\"journal\":{\"name\":\"Ecological Indicators\",\"volume\":\"167 \",\"pages\":\"Article 112656\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Indicators\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1470160X24011130\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X24011130","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Study on the coordination and factors affecting the coupling of resource and environmental carrying capacity and regional economy in ecologically fragile areas
The coordinated development of the resources, environment and social economy in ecologically fragile areas has become one of the urgent issues for all countries in the world. In this study, the ecologically fragile area of Ningxia was used as the typical case area. This study constructs a “four main subjects and eight dimensions” comprehensive evaluation model based on the Sustainable Development Goals (SDGs) to analyze the situation of the resource and environmental carrying capacity (RECC). This study employs the coupled coordination degree model and the obstacle degree model, integrating them with Pearson correlation analysis to quantitatively evaluate the coupled coordination relationship and influencing factors between RECC and socioeconomic development in Ningxia. The study shows that: (a) the RECC in Ningxia is on an upward trend, with obvious spatial differences, and the pressure on resources and environment in the provincial capital city is more obvious; (b) the coordination of RECC and socioeconomic development coupling in Ningxia is on a steady upward trend, but the internal development differences are more obvious, and the degree of coordination in the provincial capital cities is relatively high; (c) the coordinated development of RECC and socioeconomic development is affected by a combination of factors such as climate, water, soil, ecological resources, urbanization, and traffic accessibility in Ningxia. The findings offer scientific support for the coordination of socioeconomic development and resource environmental protection in ecologically fragile regions. Furthermore, they serve as a reference for promoting ecological civilization construction in fragile ecosystems globally.
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.