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引用次数: 0

摘要

目的:本文旨在建立一个可持续区域发展的扩展模型,该模型将作为评估并最终减少生态威胁对可持续经济发展的有害影响的工具。研究方法-应用生态承载力(ECC)概念;选择“covid - 19”作为区域生态压力的有效样本,研究其对控制全球75% GDP的重要集团G20国家的生态资源之一“GDP”的有害影响。次要数据是从Passportdatabase的Macro模型中收集的,用于评估和预测。研究结果-发达国家因新冠肺炎疫情导致的GDP降幅高于G20集团的发展中国家,表明需要使用全球可持续性EGB模型而不是SLB模型。研究局限——考虑一个宏观模型指标(GDP),可以通过纳入其他指标来增强。实际意义-所得结果促进了不同发达国家GDP增长与生态威胁的一致反应模式,以制定如何在全球范围内减轻这些威胁的经济政策。原创性/价值——以往的研究主要集中于识别生态威胁,而我们的研究则是研究如何衡量这些威胁对国家经济的有害影响。
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SUSTAINABLE DEVELOPMENT IN RESISTING ECOLOGICAL THREATS
Purpose – this paper aims to ground an extended model of sustainable regional development, which would serve as an instrument to estimate and, ultimately, minimize the harmful impact of ecological threats on sustainable economic development. Research methodology – Ecological Carrying Capacity (ECC) concept needs to be applied; chosen “COVID19” is as a valid sample of ecological pressure on regions to study its harmful impact on one of the ecological resource “GDP” for the vital group G20 countries that control 75% of the world’s GDP. Secondary data were collected from the Passport database’s Macro model for evaluations and predictions. Findings – GDP drop due to COVID19 in developed countries is higher than the developing countries of the G20 group, indicating the need to utilize the global sustainability EGB model instead of the SLB model. Research limitations – considering one macro model indicator (GDP), which could be enhanced by including other indicators. Practical implications – the obtained results promote a consistent reaction pattern of GDP growth with ecological threats in differently developed countries to devise economic policies on how to mitigate these threats’ globally. Originality/Value – previous studies mainly focused on identifying ecological threats, whereas our study studied how to measure these threats’ harmful impact on countries’ economies.
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