A multiattribute measure of human development

Carlucci, Francesco; Pisani, Stefano

doi:10.1007/bf01079723

Cited by 18 publications

(12 citation statements)

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“…The former determines the weight of each indicator using tools such as analytic hierarchy process and ranking method. These tools are often subjective and lack uniform standards, which can easily lead to some discrepancies in the evaluation results [37]. The latter determines the weight of each indicator using more objective tools such as principal component analysis, factor analysis, and entropy analysis.…”

Section: (2) Assessment Of Social Vulnerability Levelmentioning

confidence: 99%

Measuring Social Vulnerability to Flood Disasters in China

et al. 2018

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Abstract:To proactively prevent losses from flood disasters and subsequent potential human conflicts, it is critical to measure the social vulnerability of a country or a region to flood. In this article, we first propose a list of potential indicators for measuring this social vulnerability. These indicators' significances are then tested based on their correlation coefficients with a vulnerability index obtained using nonparametric Data Envelopment Analysis. In the final measurement system, there are nine indicators: the proportion of the primary industry, infrastructure development level, income gap between urban and rural residents, the proportion of population over 60 years old, the proportion of children under 14 years old, the number of people receiving minimum income assistance, and the number of disasters per year. We then conduct principal component analysis to evaluate the social vulnerability level. Our results show that the social vulnerability level is mostly impacted by the economic principal component and the demographic and social security principal component. Moreover, our results also confirm that the social vulnerability level to flood in China declined overall from 2003 to 2015.

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Section: (2) Assessment Of Social Vulnerability Levelmentioning

confidence: 99%

Measuring Social Vulnerability to Flood Disasters in China

et al. 2018

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“…This intended targeting of the HDI at consumers who may not necessarily be technically-minded also required maximum transparency so they could absorb the meaning of the index. Hence from its inception the HDI was designed to be as simple as possible and over the following 22 years of the HDRs one reads a constant tension between pressures to make the HDI more encompassing of the breadth of human development issues [14,15] such as the need for environmental quality [16][17][18][19], and a desire to keep its simplicity [20]. There are arguments than can be put either way [21,22], but to this date the UNDP have resisted any attempt to broaden out the HDI into a -Sustainable Human Development Index‖ despite calls for them to do so [18].…”

Section: The Human Development Indexmentioning

confidence: 99%

Bottom Rail on Top: The Shifting Sands of Sustainable Development Indicators as Tools to Assess Progress

Morse

2013

Sustainability

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Abstract:The Human Development Index (HDI) is often employed to capture some of the more social concerns in sustainable development at the scale of the nation-state. The HDI is founded on three components; life expectancy, education and income per capita. To avoid a dominance of the income component, proxied by Gross Domestic Product (GDP) per capita per annum, it has been capped at a maximum level and transformed. Two methods for transforming the GDP/capita have been employed; the Atkinson transformation (1991 to 1998) and the Logarithmic transformation (all other years). The paper explores the impact that these transformations have had on the HDI rankings of 167 countries, by comparing the rank across two periods; 1991 to 1998 and 1999 to 2009. Results suggest that for the 167 countries in the dataset, the majority (65%) showed a high resilience to the transformations. For these countries, the use of the two alternatives does not alter the difference seen in the original ranking between the two periods. A significant proportion of countries had a medium (18%) and low (17%) resilience to the methodology for handling GDP/capita. For those countries the choice of methodology does matter in terms of their ranking, with some doing better and others worse relative to the original ranking. Consistency in methodology is desirable in order to avoid such misrepresentations but so is some flexibility to allow for new knowledge and experience. One can also question the value of the league table style of presentation so often employed with sustainable development indices given that change in rank for at least some countries is so vulnerable to shifts in methodology.

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“…Since its official 'launch' in the HDR of 1990 the HDI has remained true to its initial conceptualisation as a composite index having just three components; simplicity was regarded by the index creators as a vital requirement for transparency (Carlucci and Pisani, 1995;Rannis et al, 2006). It has an education component as this is regarded as an important capability for helping to provide people with more choice in employment and career development.…”

Section: Introductionmentioning

confidence: 99%

Stirring the pot. Influence of changes in methodology of the Human Development Index on reporting by the press

Morse

2014

Ecological Indicators

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A multiattribute measure of human development

Cited by 18 publications

References 12 publications

Measuring Social Vulnerability to Flood Disasters in China

Measuring Social Vulnerability to Flood Disasters in China

Bottom Rail on Top: The Shifting Sands of Sustainable Development Indicators as Tools to Assess Progress

Stirring the pot. Influence of changes in methodology of the Human Development Index on reporting by the press

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