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综合指标之所以引人关注,是由于其简单明了,能够有效地说明特定的问题。但是有时候它也会发生错误的信号,并误导开发活动。当指标构建的背后假设和逻辑没有切实的证据,并且指标实际测量的与预计要测量的事物不一致时,其风险尤其高。本文主要关注的是,广泛运用的综合指标是否正确地测量了做出正确发展决策所必须测量的内容。主要讨论5个议题:不确定的前提、部分覆盖、任意的要素分类和权重分配、评级向排名的转换,以及法理上与事实上的指标。
The reason why comprehensive indicators attract attention is that they are simple and clear and can effectively explain specific problems. But sometimes it also signals the wrong way and misleads the development activity. Risks are particularly high when the underlying assumptions and logic behind the construction of indicators are not substantiated and the actual measure of indicators is not consistent with what is expected to be measured. This article focuses primarily on whether the widely used composite measure correctly measures what must be measured to make the right development decision. Mainly discuss five topics: uncertain premise, partial coverage, arbitrary factor classification and weight distribution, rating to rank conversion, and de jure and de facto indicators.