Aggregating the Human Development Index: A Non-compensatory Approach

IF 2.8 2区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Social Indicators Research Pub Date : 2024-02-21 DOI:10.1007/s11205-024-03318-7
Riccardo Natoli, Simon Feeny, Junde Li, Segu Zuhair
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Abstract

The United Nations’ Human Development Index remains a widely used and accepted measure of human development. Although it has been revised over the years to address various critiques, a remaining concern is the way the three dimensions are aggregated into the single index. A deterioration in one dimension can be compensated for by an improvement in another. Since compensability is inextricably linked with trade-offs and intensity of preferences, a non-compensatory (i.e., Condorcet) approach to aggregation is employed in this paper. Although non-compensatory approaches have been employed previously, this paper adds to the literature by undertaking an application of the Condorcet approach to the entire HDI. This approach, which does not use intensities of preferences, ensures that the degree of compensability connected with the aggregation model is at the minimum possible level. To achieve this, country level rankings are then compared to those for the 2020 Human Development Index which aggregates dimensions using a geometric mean. The findings demonstrated substantial changes in rank-order between the HDI and Condorcet approach. This outcome provides empirical evidence which demonstrates that the non-compensatory Condorcet approach can mitigate issues of compensation present within the geometric aggregation technique currently employed by the HDI. These findings have potential implications in aiding the identification and employment of potential policy priorities—specifically, the notion that policy should emphasise the development of a country as opposed to economic growth alone.

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汇总人类发展指数:非补偿性方法
联合国人类发展指数仍然是一个被广泛使用和接受的人类发展衡量标准。尽管多年来针对各种批评意见对该指数进行了修订,但仍令人担忧的是将三个维度汇总成单一指数的方式。一个维度的恶化可以通过另一个维度的改善得到补偿。由于可补偿性与权衡和偏好强度密不可分,本文采用了非补偿性(即康德赛特)的汇总方法。虽然以前也采用过非补偿性方法,但本文将康德塞特方法应用于整个人类发展指数,从而为文献增添了新的内容。这种方法不使用偏好强度,可确保与聚合模型相关的可补偿程度处于尽可能低的水平。为此,我们将国家层面的排名与 2020 年人类发展指数的排名进行了比较。研究结果表明,人类发展指数和孔德塞方法之间的排名顺序发生了重大变化。这一结果提供的经验证据表明,非补偿性的康德赛方法可以缓解人类发展指数目前采用的几何汇总技术中存在的补偿问题。这些研究结果可能有助于确定和采用潜在的政策优先事项,特别是政策应强调国家发展而不仅仅是经济增长的理念。
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来源期刊
CiteScore
6.30
自引率
6.50%
发文量
174
期刊介绍: Since its foundation in 1974, Social Indicators Research has become the leading journal on problems related to the measurement of all aspects of the quality of life. The journal continues to publish results of research on all aspects of the quality of life and includes studies that reflect developments in the field. It devotes special attention to studies on such topics as sustainability of quality of life, sustainable development, and the relationship between quality of life and sustainability. The topics represented in the journal cover and involve a variety of segmentations, such as social groups, spatial and temporal coordinates, population composition, and life domains. The journal presents empirical, philosophical and methodological studies that cover the entire spectrum of society and are devoted to giving evidences through indicators. It considers indicators in their different typologies, and gives special attention to indicators that are able to meet the need of understanding social realities and phenomena that are increasingly more complex, interrelated, interacted and dynamical. In addition, it presents studies aimed at defining new approaches in constructing indicators.
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