Decomposing inequality in research funding by university-institute sub-group: A three-stage nested Theil index

Wu, Dengsheng; Yuan, Lili; Li, Ruoyun; Li, Jianping

doi:10.1016/j.joi.2018.10.007

Cited by 23 publications

(17 citation statements)

References 30 publications

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“…Moreover, it could provide indications for a better distribution of funding that would increase efficiency in terms of results and impact, as some authors suggest (e.g. Braun 1998;Mongeon et al 2016;Wang et al 2018;Wu et al 2018). For all these reasons, future research will still have to consider supplementary variables to offer a more complete frame of reference for both evaluators and researchers.…”

Section: Discussionmentioning

confidence: 99%

“…The research advancement requires an adequate investment to face the different challenges existing in the daily work of scientists (Ebadi and Schiffauerova 2015;Wu et al 2018). Policymakers devote significant efforts to the promotion of scientific research, making decisions about the allocation of limited resources that affect the size and efficiency of the R&D system as a whole.…”

Section: Introductionmentioning

confidence: 99%

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Collaboration and impact of research in different disciplines with international funding (from the EU and other foreign sources)

Morillo

2019

Scientometrics

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The advancement of scientific research requires an adequate investment, which calls for promoting fair political decisions about the allocation of limited resources. In this context, funders need to be properly informed to assess the results of research lines or programmes. The WoS databases can help in making decisions, since they include the funding acknowledgements of documents along with additional useful data. The purpose of this paper is to analyse, in four different disciplines, the possible relation between international funding (from the EU and other foreign sources) and collaboration and impact. WoS articles with a Spanish address and written in English are selected (period 2010-2014), classifying them according to the existence or absence of funding acknowledgements, and identifying international sponsorship and the presence of EU funds. After applying some logistic regression models, the results confirm the hypotheses, except for some unexpected findings. In general, articles with international funding present greater collaboration, especially international and larger for those supported by only other non-EU foreign funds, with some differences between disciplines. This internationally funded research also achieves the highest citation rates, being unexpectedly higher for publications sponsored by EU funds, even showing less cooperation than those supported by other foreign funds. In the same way, the proportion of articles with only national funding is not diminished by their limited percentage of collaboration. In conclusion, this paper provides interesting information, both for funders and researchers, discussing the various characteristics and disparities between disciplines and funding sources.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Collaboration and impact of research in different disciplines with international funding (from the EU and other foreign sources)

Morillo

2019

Scientometrics

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“…As one of the important accelerators for the development of subject areas, the allocation efficiency of research funding has a direct impact on the development of disciplines and national progress. Wu et al (2018) proposed a three-stage nested Theil index and explored the underlying structure of overall inequality in research funding by constructing a universityacademy decomposition framework. Győrffy et al (2020) conducted a statistical analysis of Hungarian Science Foundation grant proposals from 2006 to 2015 and assessed the efficiency of resource allocation, finding that researchers' past scientometric performance (e.g., H-index, annual citations, etc.)…”

Section: Scientific Research Fundingmentioning

confidence: 99%

“…The current studies of the relationship between scientific research and funding are mainly focused upon the development trend of the funded research results (Ebadi, Tremblay, Goutte, & Schiffauerova, 2020), the establishment of funding allocation criteria (Győrffy, Herman, & Szabo, 2020), and the efficiency of allocation (Wu, Yuan, Li, & Li, 2018). Most of them are conducted based on the study of literature, individuals, or institutions, which can guide the government in the allocation of funding under the guidance of individual or institutional performance, but fail to address the longterm contribution or impact of funds on research themes or specific knowledge development.…”

Section: Introductionmentioning

confidence: 99%

Discovering Booming Bio-entities and Their Relationship with Funds

Tan

Zhang

Yang

et al. 2021

Data and Information Management

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With the increasing pressure on the National Institutes of Health (NIH) budget nowadays, it is such a major challenge to cut waste and improve efficiency in the research funding allocation. To meet this challenge, this paper explores research hotspots and disciplinary trends of the biomedical area, and discusses the relationship between these factors and the government funding, thereby uncovering biomedical hotspots of interest to academia and the evolution law of the U.S. federal government funding through an entitymetrics analysis. Considering that the rapid proliferation of biomedical literature provides large amounts of information resources for knowledge discovery, entities extracted from articles in PubMed and NIH-funded projects during 1988–2017 are taken as experimental data. They are divided into four categories: species, diseases, genes, and drugs. Subsequently, a comparative analysis of entity trajectories in the four domains is performed, which includes occurrence frequency calculations of disease entities to explore frequency variation trends in high-frequency entities and the situation of the distribution of research funds. Finally, we conduct an evolutionary analysis of two sides, respectively: the relationship between research popularity and the amount of funding; the relationship between research popularity and the number of funded projects. The results suggest that research on gene and disease entities is at the stage of rapid development. Diseases with high prevalence rate and mortality and diseases associated with genetic factors will be the emphasis of research trends in the future. The distribution of NIH grant appears obvious long tail effect and can influence overall trends in the heat of research topics.. We also find that there is a strong linear correlation between the research popularity of bio-entities, and the amount and number of funding grants, respectively. However, the impact of the amount and number of grant funds on the entity research popularity is decreasing. The above results indicate the extensive applicability of entitymetrics in funding research.

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“…Since then, the study of international carbon emission inequality has received increasing attention from many scholars, and the measurement indicators have also become more abundant (Giugni, 1912; Theil, 1967; Atkinson, 1970). There are many methods to measure inequality (Clarke-Sather et al , 2011), such as Theil Index (Wu et al , 2018; Beblo and Knaus, 2001; Chen et al , 2019, Cheng and LI, 2006), Lorenz curve (Teng et al , 2011; Zimm and Nakicenovic, 2020), Gini coefficient (Chen et al , 2017; Xu et al , 2016) and Atkinson index. Among them, the Theil index and the Gini coefficient are the most popular for analyzing carbon inequality.…”

Section: Introductionmentioning

confidence: 99%

Is global carbon inequality getting better or worse? A decomposition analysis of carbon inequality in intraincome and interincome groups

Wang

Liu

et al. 2021

MEQ

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PurposeThis study is aimed at better understanding the evolution of inequality in carbon emission in intraincome and interincome groups in the world, and then to uncover the driving factors that affect inequality in carbon emission.Design/methodology/approachThe approach is developed by combining the Theil index and the decomposition technique. Specifically, the Theil index is used to measure the inequality in carbon emissions from the perspective of global and each income group level. The extended logarithmic mean Divisia index was developed to explore the driving factors.FindingsThis study finds that the inequality in carbon emissions of intraincome group is getting better, whereas the inequality in carbon emission of interincome group is getting worse. And the difference in global carbon emissions between income groups is the main source of global carbon emission inequality, which is greater than that within each income group. In addition, the high-income group has transferred their carbon emissions to upper-middle income group by importing high-carbon-intensive products to meet the domestic demand, while lower-middle-income group do not fully participate in the international trade.Practical implicationsTo alleviate the global carbon inequality, more attention should be paid to the inequality in carbon emission of interincome group, especially the trade between high-income group and upper-middle income group. From the perspective of driving factors, the impact of import and export trade dependence on the per capita carbon emissions of different income groups can almost offset each other, so the trade surplus effect should be the focus of each group.Originality/valueIn order to consider the impact of international trade, this study conducts a comprehensive analysis of global carbon emissions inequality from the perspective of income levels and introduces the import and export dependence effect and the trade surplus effect into the analysis framework of global carbon emission inequality drivers, which has not been any research carried out so far. The results of this paper not only provide policy recommendations for mitigating global carbon emissions but also provide a new research perspective for subsequent inequality research.

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Decomposing inequality in research funding by university-institute sub-group: A three-stage nested Theil index

Cited by 23 publications

References 30 publications

Collaboration and impact of research in different disciplines with international funding (from the EU and other foreign sources)

Collaboration and impact of research in different disciplines with international funding (from the EU and other foreign sources)

Discovering Booming Bio-entities and Their Relationship with Funds

Is global carbon inequality getting better or worse? A decomposition analysis of carbon inequality in intraincome and interincome groups

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