Robust human development rankings

Cherchye, Laurens; Ooghe, Erwin; Puyenbroeck, Tom Van

doi:10.1007/s10888-007-9058-8

Cited by 83 publications

(45 citation statements)

References 19 publications

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“…One of the few other examples is provided by Cherchye et al [5] and their work on the influence of component weights . However, it is defendable largely because, after all, it is the rank in the tables that is the most apparent facet for those meant to -consume‖ the information and thus they are likely to be more influenced by ranking relative to their peers rather than by the absolute value of the HDI.…”

Section: Resultsmentioning

confidence: 99%

“…However, given that a number of indices of sustainable development have also been created and applied at the scale of the nation state then it is nonetheless an important question to ask. Returning to the point made earlier about equal weighting of the three HDI components and the use of the mean of the three as the HDI, Cherchye et al [5] explored how country rankings were influenced by different weighting and aggregation of the components, although they did not explore how some of the deeper methodological changes made within each of the components may have had an influence on ranking . Indeed Høyland et al [27] point to the dangers of such country rankings, especially as a difference of just a few places in the ‗league table' may in fact mean very little in terms of development .…”

Section: The Human Development Indexmentioning

confidence: 99%

“…This is not a new observation, of course, and various researchers have pointed to the potential impacts of changes in methodology since 1990 on the HDI [5]. Indeed the UNDP has for some time produced values of the HDI based upon current methodology as well as values based on previous methodologies.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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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Section: Resultsmentioning

confidence: 99%

Section: The Human Development Indexmentioning

confidence: 99%

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

Morse

2013

Sustainability

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“…[41][42][43]). Because of the identification of an efficient frontier, the DEA seemed to have an advantage over the traditional econometric approach in generating the impartial benefit of the doubt (BOD) weighting [44].…”

Section: Overall Productivitymentioning

confidence: 99%

Research Productivity in Management Schools of India: A Directional Benefit-of-Doubt Model Analysis

Sahoo¹,

Singh

Mishra

et al. 2015

SSRN Journal

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Given the growing emphasis on research productivity in management schools in India, the present authors developed a composite indicator (CI) of research productivity, using the directional benefit-of-doubt (D-BOD) model, which can serve as a valuable index of research productivity in India. Specifically, we examined overall research productivity of the schools and the faculty members during the 1968-2014 and 2004-2014 periods in a manner never done before. There are four key findings. First, the relative weights of the journal tier, total citations, impact factor, author h-index, number of papers, and journal h-index varied from high to low in order for estimating the CI of a faculty member. Second, both public and private schools were similar in research productivity. However, faculty members at the Indian Institutes of Technology (IITs) outperformed those at the Indian Institutes of Management (IIMs). Third, faculty members who had their doctoral degrees from foreign, relative to Indian, schools were more productive. Among those trained in India, alumni of IITs, compared to those of IIMs, were more productive. Finally, IIMs at Ahmedabad and Bangalore and the Indian School of Business, Hyderabad have seemingly more superstars than other schools among the top 5% researchers during 2004-2014. These findings indicate a shift in the priority from mere training of managers to generating impactful knowledge by at least two of the three established public schools, and call attention to improving the quality of doctoral training in India in general and IIMs in particular. Suggestions for improving research productivity are also offered.

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“…In effect a country could find itself going up or down the table as other countries were brought in or left out. The UNDP have to their credit constantly sought to improve the HDI in terms of the quality of the data upon which it is based as well as the means of calculating the index (Cherchye et al, 2008).…”

Section: Evolving the Hdimentioning

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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Robust human development rankings

Abstract: Human development index, Lorenz dominance, Linear programming, Robustness analysis, C61, D63, I31, O10,

Cited by 83 publications

References 19 publications

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

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

Research Productivity in Management Schools of India: A Directional Benefit-of-Doubt Model Analysis

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

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