An evaluation of EU member states according to human development and global competitiveness dimensions using the multi-period grey relational analysis (MP-GRA) technique

Eren, Miraç; Kaynak, Selahattin

doi:10.1108/gs-08-2016-0023

Cited by 4 publications

(5 citation statements)

References 38 publications

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“…They applied grey absolute correlation to assess the contributions of technological entrepreneurship to national development [35]. Eren and Kaynak (2017) evaluated EU-member states pursuant to human development and global competitiveness dimensions, using the multi-period GRA technique [39]. Mao et al (2015) also explored the impact of research and development activities on GDP [45].…”

Section: Resultsmentioning

confidence: 99%

“…Two GRA dimensions, which establish a major part of GST, can be utilized: first, a nonparametric measure of the correlation between the sequences, such as a statistical analysis; second, a correlation between the sequences by creating a reference sequence from the best values of comparable sequences. Hence, according to the obtained relationship outcomes, the comparable sequences can be sorted from the best value to the worst value, like the functioning of MCDM techniques [39].…”

Section: Discussionmentioning

confidence: 99%

“…An evaluation of EU member states according to human development and global competitiveness dimensions using the multi-period grey relational analysis technique [39] Investigating the multi-period, multi-attribute decision making problems GRA The general ranking of EU member states has been provided in intervals of certain time periods called decision units.…”

Section: Grey Decisionmentioning

confidence: 99%

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Exploring Grey Systems Theory-Based Methods and Applications in Analyzing Socio-Economic Systems

Javanmardi

Liu

2019

Sustainability

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The present study seeks to provide an overview of studies dealing with the grey systems theory from the perspective of socio-economic systems. A scoping review is conducted to explore the studies focusing grey systems theory and its applications in socio-economic systems. The publications selected for analysis were collected through searching the databases of the Web of Science, Scopus, and Science Direct. The publications were selected from 2010 to 2019, and the following keywords were used to detect them: grey systems, grey relational, grey model, grey prediction, grey control, grey incidence, grey cluster, grey decision, and grey input-output plus social, economic, and socioeconomic. Out of the 2375 records found, 147 full papers were screened. Results obtained from the studies were separated into the following categories: social network, healthcare, financial issues, sustainability, tourism, social and cultural, public sectors, urbanization, development, business, economics, demographics, innovation, and entrepreneurship. Findings showed that complexity, uncertainty, and a lack of access to a large collection of data directed researchers to rely on grey systems theory-based socio-economic systems. Furthermore, theory-based grey systems were more effective than other approaches of decision-making and analysis. Drawing on the grey systems theory-based holistic approaches and systems thinking methods helped to obtain better results in analyzing socio-economic systems.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Grey Decisionmentioning

confidence: 99%

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Exploring Grey Systems Theory-Based Methods and Applications in Analyzing Socio-Economic Systems

Javanmardi

Liu

2019

Sustainability

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“…HDI is a report issued by UNDP every year containing human development achievements measured on a scale of 0 to 1 based on three indicators: longevity can be measured from life expectancy, knowledge can be measured from literacy and average years go to school, and the standard of living is measured from the real income per capita adjusted to the purchasing power parity of each country's currency to reflect the cost of living. (Eren and Kaynak, 2017). In region ASEAN, Indonesian are still below the Philippines, Singapore, and Malaysia.…”

Section: Introductionmentioning

confidence: 99%

Analysis Relationship of Economic Growth, Fiscal Policies and Demographic to Islamic Human Development Index in Indonesia (Granger Causality Approach)

Lubis

2020

FITRAH

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The purpose of study is to analyze the relationship of Economic Growth, Fiscal Policies, and Demographic to Islamic Human Development Index in Indonesia. The analysis method used Granger Causality test in 33 representative provinces. Taked sampling with Criteria Purporsive Sampling method. The results showed that there was relationship between Economic growth to Demographic and Islamic Human Development Index. There was relationship between Demographic to IHDI and fiscal policy in health and education. There was relationship of Fiscal Policy in health to Fiscal Policy in education. Recommendation of study was 1. Increasing economic growth with equity to support the maximalization IHDI in each region. 2. Optimizing Fiscal policies performance to improving public services in education and health so can be impact on the high IHDI distributed in Indonesia.

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“…The authors find that regulatory quality exerts positive influence on Islamic banks, while the impact of political stability and control of corruption enhances the revenue efficiency of conventional banks. Eren et al (2017) investigate the multi-period, multi-attribute decision-making problems that arise when the information required to make decisions is provided at different periods. As a case study to test the functionality and applicability of the model, 28 European Union member states were ranked by the MP-GRA method developed according to their human development and global competitiveness variables for the years 2006-2015.…”

Section: Introductionmentioning

confidence: 99%

Does logistics influence economic growth? The European experience

D’Aleo

Sergi

2017

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Purpose The purpose of this paper is to set forth a new economic model that includes variables that take account the mediator effect of global competitiveness index to better identify the whole phenomenon behind the relationship between GDP and competition in Europe. Design/methodology/approach The authors test the consistency of the Baron and Kenny mediator model through an explanatory linear regression model, then the authors deploy a panel analysis and a simultaneous equation system to assess the model consistency to bypass much of the endogeneity problem. Findings This paper’s findings show a positive influence of global competitiveness index on GDP and this effect is by far more evident when other variables (e.g. the logistics performance index) interact simultaneously. Research limitations/implications The GCI is a correct variable to assess growth. The study shows how the recent economic crisis has increased the importance of competitiveness for economic recovery as well as key strategic decisions aimed at strengthening growth and competitiveness. Originality/value This paper’s theoretical construct is a unique methodology applied to disentangle the role of a new model that takes account of global competitiveness index as a mediator variable to economic growth.

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An evaluation of EU member states according to human development and global competitiveness dimensions using the multi-period grey relational analysis (MP-GRA) technique

Cited by 4 publications

References 38 publications

Exploring Grey Systems Theory-Based Methods and Applications in Analyzing Socio-Economic Systems

Exploring Grey Systems Theory-Based Methods and Applications in Analyzing Socio-Economic Systems

Analysis Relationship of Economic Growth, Fiscal Policies and Demographic to Islamic Human Development Index in Indonesia (Granger Causality Approach)

Does logistics influence economic growth? The European experience

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