An international comparison of relative contributions to academic productivity

Hung, Wen-Chi; Lee, Ling-Chu; Tsai, Min-Hua

doi:10.1007/s11192-008-2210-9

Cited by 27 publications

(6 citation statements)

References 28 publications

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“…The second problem is that of separating the effects of policy interventions, such as those correlated to results from assessment exercises, from endogenous factors, such as the normal, inherent variations of research institution performance over time. In fact, some of the changes observed in an organization can be independent of decisionmaking of both internal and external actors (Hung et al, 2009). The current study focuses on this second aspect, and we will provide a contribution on the first issue in a subsequent work.…”

Section: Introductionmentioning

confidence: 96%

A national-scale cross-time analysis of university research performance

2010

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Research policies in the more developed nations are ever more oriented towards the introduction of productivity incentives and competition mechanisms intended to increase efficiency in research institutions. Assessments of the effects of these policy interventions on public research activity often neglect the normal, inherent variation in the performance of research institutions over time. In this work, we propose a cross-time bibliometric analysis of research performance by all Italian universities in two consecutive periods (2001-2003 and 2004-2008) not affected by national policy interventions. Findings show that productivity and impact increased at the level of individual scientists. At the level of university, significant variation in the rank was observed

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Section: Introductionmentioning

confidence: 96%

A national-scale cross-time analysis of university research performance

2010

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“…The reasoning of Rai and Lal rests on the assumption that some areas of research have a greater impact on economic development than others. Hung et al (2009) find that Singapore, South Korea and Taiwan have increased their research output at a particularly high rate over the last 10 years; Chuang et al (2010) find that the research areas in which these three countries have the most significant achievements tend to be related to engineering.…”

Section: Introductionmentioning

confidence: 99%

Research output and economic productivity: a Granger causality test

Lee¹,

Lin

Chuang³

et al. 2011

Scientometrics

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The correlation between GDP and research publications is an important issue in scientometrics. This article provides further empirical evidence connecting revealed comparative advantage in national research with effects on economic productivity. Using quantitative time series analysis, this study attempts to determine the nature of causal relationships between research output and economic productivity. One empirical result is that there is mutual causality between research and economic growth in Asia, whereas in Western countries the causality is much less clear. The results may be of use to underdeveloped nations deciding how to direct their academic investment and industry policy.

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“…In this context, we are faced with varying notions: Fu and Yang (2009) refer to patenting efficiency; Lee and Park (2005), Sharma and Thomas (2008) and Thomas et al (2011) refer to R&D efficiency; Wang and Huang (2007) call the concept efficiency of R&D activities, whereas Halkos and Tzeremes (2011) refer to innovation efficiency and Hung et al (2009) to academic productivity.…”

Section: Literature Reviewmentioning

confidence: 99%

R&D efficiency and heterogeneity – a latent class application for the OECD

Cullmann

Zloczysti

2014

Applied Economics

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Expenditures devoted to research and development (R&D) are scarce and thus need to be used as efficiently as possible given the financial constraints countries are facing. This article assesses the relative efficiency of R&D expenditures for 26 OECD member countries and two nonmember countries. As countries differ in their national innovation systems and states of economic development and industrialization, e.g. transition economies in Eastern Europe versus Asian countries versus Anglo-Saxon countries, the measurement of R&D efficiency needs to consider differences in the technology of knowledge production. By means of a latent class model for stochastic frontiers, we relax the assumption of a homogeneous technology frontier and model technological differences in knowledge production among countries. Empirical evidence suggests the existence of different classes stressing the importance of accounting for countries' disparities within R&D efficiency analysis.

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An international comparison of relative contributions to academic productivity

Cited by 27 publications

References 28 publications

A national-scale cross-time analysis of university research performance

A national-scale cross-time analysis of university research performance

Research output and economic productivity: a Granger causality test

R&D efficiency and heterogeneity – a latent class application for the OECD

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