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Model Modification and Application on Carrying Capacity of Relative Resources

机译:相关资源承载力的模型修正与应用

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摘要

Based on the retrospection of researches on carry-ing capacity, this article reviewed systematically the research progresses on carrying capacity of relative resources (CCRR).Then the viewpoint was put forward that CCRR is not an ap-propriate method of appraising the regional sustainability, but a sound way to obtain cognition for coordinating spatial loca-tion and flow of population and economy.However, as the most popular computing method of CCRR, the Weighting Linear Sum Model is defective in the random of weight choice and the neglect of matching among different resources.Therefore, this article established the Geometric Model on CCRR based on modifying Weighting Linear Sum Model, which can be used to appraise regions where resources are close matching.Em-ploying the Geometric Model, the article empirically analyzed the population and economic CCRR in Hubei Province from 1978 to 2006.The result indicates that the population in Hubei Province is overloading while the economic carrying capacity is abundant compared to the whole country, and the economic insufficiency restricts the population carrying capacity.In the future, Hubei Province will become one of the core developing zones which are characterized by economic conglomeration.
机译:在回顾研究承载力的基础上,系统地回顾了相关资源承载力的研究进展。然后提出了CCRR不是评价区域可持续性的合适方法的观点。然而,权衡线性求和模型作为CCRR最流行的计算方法,在权重选择的随机性和忽视权重匹配方面存在缺陷,是目前最常用的CCRR计算方法。因此,本文在修正加权线性和模型的基础上,建立了CCRR的几何模型,可用于评价资源紧密匹配的区域。通过对几何模型的研究,对人口和经济CCRR进行了实证分析。 1978年至2006年湖北省的经济负担与全国相比,湖北省的生产能力十分雄厚,经济不足制约了人口的承载能力。未来,湖北省将成为以经济大企业为特征的核心发展区之一。

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  • 作者单位

    Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;

    Graduate University of Chinese Academy of Sciences, Beijing 100049, China;

    Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;

    College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China;

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  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 人口学;环境保护管理;
  • 关键词

  • 入库时间 2022-08-18 19:12:24
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