A quantitative analysis of the causes of the global climate change research distribution

Pasgaard, Maya; Strange, Niels

doi:10.1016/j.gloenvcha.2013.08.013

Cited by 64 publications

(53 citation statements)

References 29 publications

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“…This observation is in line with Ref. [42] who indicated that "the supply of climate-change knowledge is biased toward richer countries, which are more stable and less corrupt, have higher school enrolment and expenditures on research and development, emit more carbon and are less vulnerable to climate change". Based on our review, we may infer that adaptive measures, given the lack of climate-change adaptation literature from developing countries, would tend to be reactive rather than planned.…”

Section: Two Other Findings Emerging From This Worksupporting

confidence: 88%

Adaptation to Climate Change in Forestry: A Multiple Correspondence Analysis (MCA)

Brunette

Bourke

Hanewinkel

et al. 2018

Forests

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Abstract:We analyze economic perspectives of forest adaptation to risk attributes, caused mostly by climate change. We construct a database with 89 systematically chosen articles, dealing simultaneously with climate, adaptation, risk and economy. We classify the database with regard to 18 variables bearing on the characteristics of the paper, the description of the risk and the adaptation strategy, the topic and the corresponding results. To achieve a "high level-of-evidence", we realize a multiple correspondence analysis (MCA) to identify which variables were found in combination with one other in the literature and make distinct groupings affecting adaptive decisions. We identify three groups: (i) profit and production; (ii) microeconomic risk-handling; and (iii) decision and behavior. The first group includes economic costs and benefits as the driver of adaptation and prioritizes simulation, and a mix of theoretical and empirical economic approach. The second group distinctly involves risk-related issues, in particular its management by adaptation. The third group gathers a large set of social and behavioral variables affecting management decisions collected through questionnaires. Such an approach allows the identification of gaps in the literature, concerning the impact of owners' preferences towards risk and uncertainty regarding adaptation decisions, the fact that adaptation was often reduced in an attempt to adapt to the increasing risk of wildfire, or the existence of a regional bias.

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Section: Two Other Findings Emerging From This Worksupporting

confidence: 88%

Adaptation to Climate Change in Forestry: A Multiple Correspondence Analysis (MCA)

Brunette

Bourke

Hanewinkel

et al. 2018

Forests

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“…All three studies observe significant positive effects of Research and Development (R&D) investments, Gross Domestic Product (GDP) and population on publication output. Pasgaard and Strange (2013) and Huffman et al (2013) also find that field-related variables such as burden of disease in the case of cardiovascular research and CO 2 emissions in the case of climate change research explain national publication output.…”

Section: World Regions and Countriesmentioning

confidence: 90%

“…For instance, Pasgaard and Strange (2013) and Huffman et al (2013) explain national distributions of publication output in climate change research and cardiovascular research, while Meo, Al Masri, Usmani, Memon, and Zaidi (2013) build a similar model to explain the overall publication count of a set of Asian countries. All three studies observe significant positive effects of Research and Development (R&D) investments, Gross Domestic Product (GDP) and population on publication output.…”

Section: World Regions and Countriesmentioning

confidence: 99%

Spatial Scientometrics and Scholarly Impact: A Review of Recent Studies, Tools, and Methods

Frenken

Hoekman

2014

Measuring Scholarly Impact

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Previously, we proposed a research program to analyze spatial aspects of the science system which we called "spatial scientometrics" (Frenken, Hardeman, & Hoekman, 2009). The aim of this chapter is to systematically review recent (post-2008) contributions to spatial scientometrics on the basis of a standardized literature search. We focus our review on contributions addressing spatial aspects of scholarly impact, particularly, the spatial distribution of publication and citation impact, and the effect of spatial biases in collaboration and mobility on citation impact. We also discuss recent dedicated tools and methods for analysis and visualization of spatial scientometric data. We end with reflections about future research avenues.

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“…Using the Science Citation Index-Expanded (SCI-Expanded) database of Web of Science and "bibliometric analysis" as the topic, 1213 papers covering 109 subject categories could be searched by the end of 2015. For example, in environmental science, this method has been used to study wetland (Zhang et al 2010a, Zhi andJi 2012), global climate change (Li et al 2011, Pasgaard andStrange 2013), carbon cycling (Zhi et al 2015), phosphorus research in eutrophic lakes , and other subjects. In summary, bibliometric analysis is focused on certain study subjects in most cases but is seldom focused on a certain study region (Wang et al 2015).…”

Section: Introductionmentioning

confidence: 99%

A critical review of the development, current hotspots, and future directions of Lake Taihu research from the bibliometrics perspective

Zhang

Yao

Qin

2016

Environ Sci Pollut Res

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Lake Taihu, as the important drinking water source of the Yangtze River Delta urban agglomeration and the third largest freshwater lake in China, has experienced serious lake eutrophication and water quality deterioration in the past three decades. Growing scientific, political, and public attention has been given to the water quality of Lake Taihu. This study aimed to conduct a comparative quantitative and qualitative analysis of the development, current hotspots, and future directions of Lake Taihu research using a bibliometric analysis of eight well-studied lakes (Lake Taihu, Lake Baikal, Lake Biwa, Lake Erie, Lake Michigan, Lake Ontario, Lake Superior and Lake Victoria) around the world based on the Science Citation Index (SCI) database. A total of 1582 papers discussing Lake Taihu research were published in 322 journals in the past three decades. However, the first paper about Lake Taihu research was not found in the SCI database until 1989, and there were only zero, one, or two papers each year from 1989 to 1995. There had been rapid development in Lake Taihu research since 1996 and a sharp increase in papers since 2005. A keyword analysis showed that "sediment," "eutrophication", "Microcystis aeruginosa", "cyanobacterial blooms", and "remote sensing" were the most frequently used keywords of the study subject. Owing to its significant impact on aquatic ecosystems, a crucial emphasis has been placed on climate change recently. In addition, the future focuses of research directions, including (1) environmental effects of physical processes; (2) nutrient cycles and control and ecosystem responses; (3) cyanobacteria bloom monitoring, causes, forecast and management; (4) eutrophication and climate change interactions; and (5) ecosystem degradation mechanism and ecological practice of lake restoration, are presented based on the keyword analysis. Through multidisciplinary fields (physics, chemistry, and biology) cross and synthesis study of Lake Taihu, the development of shallow lake limnology will be largely promoted.

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A quantitative analysis of the causes of the global climate change research distribution

Cited by 64 publications

References 29 publications

Adaptation to Climate Change in Forestry: A Multiple Correspondence Analysis (MCA)

Adaptation to Climate Change in Forestry: A Multiple Correspondence Analysis (MCA)

Spatial Scientometrics and Scholarly Impact: A Review of Recent Studies, Tools, and Methods

A critical review of the development, current hotspots, and future directions of Lake Taihu research from the bibliometrics perspective

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