Using Meta-goal Programming for a New Human Development Indicator with Distinguishable Country Ranks

Sayed, Hussein; Hamed, Ramadan; Ramadan, Mohamed Abdel-Ghani; Hosny, Samaa Hazem

doi:10.1007/s11205-014-0723-6

Cited by 19 publications

(16 citation statements)

References 15 publications

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“…We consider three outputs, the first of which is life expectancy at birth, a proxy for health provision. To proxy educational attainment, we follow Lozano and Gutiérrez (2008) and Sayed et al (2015) and use the indicators of mean and expected years of schooling as two separate outputs instead of taking their arithmetic average, to better reflect their different focus on the future expectations of education versus the current realizations of it. Such a choice is also grounded on recent statistical results by Canning et al (2013) who found that combining the two variables into a composite causes a substantial loss of information.…”

Section: Methodsmentioning

confidence: 99%

Using VEA to assess effectiveness in the development of human capabilities

Ravanos

Karagiannis

2020

Econ Change Restruct

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Section: Methodsmentioning

confidence: 99%

Using VEA to assess effectiveness in the development of human capabilities

Ravanos

Karagiannis

2020

Econ Change Restruct

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“…As of weighting schemes, the existing literature offers a quite rich menu of alternative methods (Cherchye et al 2008;Guardiola and Picazo-Tadeo 2014;Melyn and Moesen 1991;OECD 2008a, b;Saaty 1987;Sayed et al 2015;Zhou et al 2010). In this work, we consider five weighting schemes.…”

Section: Case Study: Methodologymentioning

confidence: 99%

Measuring University Performance by Means of Composite Indicators: A Robustness Analysis of the Composite Measure Used for the Benchmark of Italian Universities

Gnaldi

Ranalli

2015

Soc Indic Res

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Composite indicators (CIs) are a useful communication tool for conveying summary performance information in a relatively simple way. They are used widely in various sectors in public services. In Italy, they are also employed to allocate a quota of public funding to the universities. Despite increasing use, CIs value and benefit are still under debate and their suitability for the benchmark of universities is challenged by methodological issues and the multi-dimensional facet of higher education institutions. The issue addressed in the present work is whether the composite measure employed by the Italian Government is an accurate tool for evaluating, ranking and funding universities. For this purpose-after a revision of the indicators, weighting and aggregation methods put forward at the national level-CIs have been computed for the overall university performance, employing the indicators chosen at the national level and combining various weighting and normalisation schemes. The variation in the rankings assigned by the CIs to the given universities has been then explored to gauge its robustness. In the light of the results, some technical and analytical issues involved in the design of CIs and their policy implications are also discussed.

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“…They also applied this model in evaluating performance of textile manufacturing company. Sayed et al (2015) presented a new methodology using Meta-Goal Programming Benefit of Doubt (MGP-BoD) to determine CI values. They used MGP-BoD to suggest a new Human Development Index (HDI).…”

Section: Social Developmentmentioning

confidence: 99%

Using Weighted Goal Programming Model for Planning Regional Sustainable Development to Optimal Workforce Allocation: An Application for Provinces of Iran

2018

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Due to the urbanization and economic growth, planning of regional sustainable development has become one of the major challenges in the world. The key indicators such as Gross Domestic Product (GDP), electricity and energy consumption and Greenhouse Gas Emission (GHG) are considered in sustainable development planning. This paper determines number of required workforce in different sectors of each province in Iran considering targets/goals for sustainable development indicators in the 2030 macroeconomic and regional planning. First, the relative goals are designed for GDP, electricity, energy and GHG emission and then, two Weighted Goal Programming (WGP) models are applied to allocate the optimal workforce among four sectors: agriculture, industry, services and transportation. The first model minimizes recruitment of new workforce and allows current workforce exchange among the four sectors in each province in order to achieve the goals, while the second model indicates equitable distribution of new workforce recruitment in different sectors within each province. In both models, the workforce changes have been investigated based on achieving the desirable growth rates of GDP, GHG, electricity and energy consumption as planned by the government. Based on the results of this paper, policy makers can manage workforce and the government can make optimised decisions to macroeconomic and regional planning. relations, etc. To measure countries' achievement in respect to social development goals and changes in the degree of development over time, different indexes and standards have been designed such as determinants of population growth, labor force, education and illiteracy, science and technology, income and poverty, expenditure on food, housing, fuel and power, transport and communication, life and job satisfaction and investment in medical care and education.

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Using Meta-goal Programming for a New Human Development Indicator with Distinguishable Country Ranks

Cited by 19 publications

References 15 publications

Using VEA to assess effectiveness in the development of human capabilities

Using VEA to assess effectiveness in the development of human capabilities

Measuring University Performance by Means of Composite Indicators: A Robustness Analysis of the Composite Measure Used for the Benchmark of Italian Universities

Using Weighted Goal Programming Model for Planning Regional Sustainable Development to Optimal Workforce Allocation: An Application for Provinces of Iran

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