A fuzzy set theory approach to national composite S&amp;T indices

Moon, Hye-Seon; Lee, Jeong‐Dong

doi:10.1007/s11192-005-0238-7

Cited by 43 publications

(12 citation statements)

References 17 publications

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“…Previous studies have utilized GBAORD data for measurement and estimates of national S&T activities (e.g. Niwa and Tomizawa, 1996;Ebersberger, 2005;Moon and Lee, 2005). These data differ from the more commonly used government-financed gross domestic expenditures on research and development (GERD) in two main respects (OECD, 2002;Dinges et al, 2007): 1) government-financed GERD data are based on reports by research and development (R&D) performers, whereas GBAORD (derived from annual budgetary accounts) are based on reports by funders; 2) the GERD-based series cover only R&D performed on national territory, whereas GBAORD also includes payments to foreign performers, including international organisations [about 5-20% of the national S&T budgets of most countries are allocated to international science activities (Wagner, 2002)].…”

Section: Data and Methodology: Government Sandt Budgetsmentioning

confidence: 99%

Government science and technology budgets in times of crisis

Makkonen

2013

Research Policy

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Section: Data and Methodology: Government Sandt Budgetsmentioning

confidence: 99%

Government science and technology budgets in times of crisis

Makkonen

2013

Research Policy

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“…In Table 2, the input and output variables selected for the present research are presented. These variables selected encompass the category of finance, human resource, creativity and non-financial innovation structures as used by (Rickne 2001;Moon and Lee 2005;Afzal 2014;Carayannis et al 2015) and also published by European Commission (2018) in the latest European Innovation Scoreboard. Below is a list of inputs and output variables used for computation.…”

Section: Data Resources and Research Areamentioning

confidence: 99%

Diffusion Efficiency of Innovation among EU Member States: A Data Envelopment Analysis

Anderson

Stejskal

2019

Economies

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Innovation, in contemporary times, has been established as the lynchpin of growth and national competitive advantage among countries. Supranational and national resources have jointly combined to create sound innovation strategies and diffusion policies for member states in recent times. However, there is the question of whether increased innovation translates to effective diffusion of innovation. With this in mind, the present research aims to comparatively assess and evaluate the efficiency of diffusion of innovation of European Union member states in reference to their European Innovation Survey rankings. Using the Charnes, Cooper and Rhodes (CCR) model of Data Envelopment Analysis (DEA), the present research found contrasting diffusion efficiency scores of member states with different innovation performances as most innovative member states had much lower efficiency scores compared to some supposedly weak innovating member states. We also computed the input-redundancy and output-deficiency of member states, provided recommendations for efficient input-output combinations based on findings of respective member states and innovation groups, and finally, outlined directions for future studies.

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“…More specifically, the Fuzzy Set Theory is used to reflect systematically the uncertainties and inaccuracies in the judgment process. Cases using the Fuzzy Theory in identifying the effect of policy change include (Kooten et at., 2001), who identified the effect of forest preservation policy amidst the uncertainties, and Moon and Lee (2005), who assessed expert opinions on the changes of science and technology policies of major countries around the world. Rhee et al, (2007) used the Fuzzy Set Theory to estimate the qualitative effect of the job creation policy in Korea; Rhee, (2007) discussed the possibility of applying the Fuzzy Theory in the judgment of experts on a policy effect.…”

Section: Methodsmentioning

confidence: 99%

Industrial and Employment Effect of China-Korea FTA: Negotiation Strategy and Institutional Preparation for Countries Seeking for FTA with China

Cho

Rhee

Woo

2013

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China is not only one of the biggest countries, but the second economic giant in the world. For this reason, many countries preparing for a FTA with China, including the EU, express concerns about the domestic industry downfall, in particular, that of the labor-intensive such as agriculture industry. This study empirically assesses the impact of the China-Korea FTA on the industrial competitiveness and labor market of both countries. An econometric analysis was conducted on the impact of the China-Korea FTA, and the Fuzzy-Delphi analysis was performed on a panel of experts in order to complement the quantitative analysis. Further, the Fuzzy Decision-Making method was primarily used in the opinion survey. The method takes into consideration the uncertainties in the judgment of the panel of experts in the Delphi-Survey, which predicts the qualitative effect of the China-Korea FTA. Overall, our results reveal that the China-Korea FTA would have a positive impact on the industrial competitiveness or employment situation of China and Korea. If the Korea-China FTA is concluded, Korea will have the upper hand in the automobile, auto parts, and textile and clothing industries in terms of industrial production. However, there exits an underlying possibility that a production increase may not lead to effective job creation as production facilities may relocate to China where there is a relatively lower labor cost. Industries found to be in a weaker position based on the conclusion of the Korea-China FTA were agriculture, forestry, & fishery, mining, wooden furniture and processed foods; such industries were found to unlikely see the creation of jobs. This study also suggests negotiation strategies which can ensure a win-win for both parties. Further, it also discusses various institutional improvements for industries or workers impacted by the trade adjustment, which is required to maximize the effect of the China-Korea FTA.

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A fuzzy set theory approach to national composite S&T indices

Cited by 43 publications

References 17 publications

Government science and technology budgets in times of crisis

Government science and technology budgets in times of crisis

Diffusion Efficiency of Innovation among EU Member States: A Data Envelopment Analysis

Industrial and Employment Effect of China-Korea FTA: Negotiation Strategy and Institutional Preparation for Countries Seeking for FTA with China

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