广义假设提取分析

U. Temurshoev
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引用次数: 1

摘要

我们在假设的提取方法(HEM)框架内明确提出(优化)寻找关键部门和关键部门组的问题,并根据称为行业要素价值的简单度量推导出其解决方案。结果表明,对某一要素贡献总量最大的前k >= 2个部门一般不构成k个部门的关键群体,这一问题在投入产出联动文献中完全被忽略。发现了与影响领域的联系方法,这为部门投入自我依赖方面的HEM问题提供了另一种经济解释。进一步,我们研究了投入系数的变化如何影响行业的重要性。关键群体问题适用于澳大利亚经济的水的使用,二氧化碳排放的因素,并产生利润和工资。
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A Generalized Hypothetical Extraction Analysis
We explicitly formulate (optimization) problems of finding a key sector and a key group of sectors within the framework of a hypothetical extraction method (HEM), and derive their solutions in terms of simple measures termed industries' factor worths. It is shown that the top k >= 2 sectors with the largest total contributions to some factor, in general, do not constitute the key group of k sectors, the issue which is totally ignored in the input-output linkage literature. The link to the fields of influence approach is discovered, which gives an alternative economic interpretation for the HEM problems in terms of sectors' input self-dependencies. Further, we examine how a change in an input coefficient affects the importance of an industry. The key group problem is applied to the Australian economy for factors of water use, CO2 emissions, and generation of profits and wages.
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