An Analysis of the Determinants of Co-authorship in Economics

Piette, Michael J.; Ross, Kevin

doi:10.1080/00220485.1992.10844762

Cited by 51 publications

(35 citation statements)

References 6 publications

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“…Furthermore, collaboration can open up co-authoring relationships in cross-fields which can result in more efficient research. Piette and Ross (1992) find that patterns of co-authorship often differ between specialties within the overall field of economics, suggesting that the pooling together of two or more fields can complement research quality, leading to overall increases in productivity. Maske et al (2003) suggest that co-authorship generally leads to an increase in the overall production of papers.…”

Section: Literature Reviewmentioning

confidence: 95%

Improvements in productivity based on co-authorship: a case study of published articles in China

Cho

Liu

2010

Scientometrics

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The issue of primary interest to this study is the collaboration that has taken place in science and technology (S&T) research in China. Due to our empirical evidences, the regions with higher relationship (network) capital enjoy higher knowledge productivity in terms of published articles. Our purpose in this paper is to investigate the relationships that exist between regional published articles and co-authorship in China covering the period from 1998 to 2007 by using Stata to investigate the relation between the regional publications and co-authored published articles. As main findings, the greater the number of co-authored articles that a region has, the greater their success, in terms of the number of articles published. Indeed, both domestic and international co-authorship have had positive effects on published article levels in China.

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Section: Literature Reviewmentioning

confidence: 95%

Improvements in productivity based on co-authorship: a case study of published articles in China

Cho

Liu

2010

Scientometrics

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“…Given the above, scholars have generally sought the determinants of co-authorships as described in the introduction, by using the bibliographic data in journals (Frame and Carpenter 1979;Mcdowell and Melvin 1983;Luukkonen et al 1992;Piette and Ross 1992;Laband and Tollison 2000;Wagner 2005;Acedo et al 2006) or by surveying regional researchers (Traore and Landry 1997). However, it has been suggested that collaborations can be divided theoretically into several modes according to spatial distance and the boundaries of the research group (Katz and Martin 1997;Melin and Persson 1996;Laudel 2002).…”

Section: Taxonomy Of Collaboration and Co-authorship Analysismentioning

confidence: 98%

“…Traore and Landry (1997) analyze the effect of the determinants on collaboration formation by surveying researchers registered in Quebec, Canada. Piette and Ross (1992) investigate the correlations between the number of a study's authors and its characteristics by mining data from articles appearing in economics journals dating back 25 years. Likewise, Vafeas (2010) collects articles from 24 financial journals spanning a 5-year period to examine the determinants of single authorship using a method similar to that used to study the determinants of collaboration in the management and economics fields (Laband and Tollison 2000;Acedo et al 2006).…”

Section: Introductionmentioning

confidence: 99%

The determinants of research collaboration modes: exploring the effects of research and researcher characteristics on co-authorship

2011

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Given the high priority accorded to research collaboration on the assumption that it yields higher productivity and impact rates than do non-collaborative results, research collaboration modes are assessed for their benefits and costs before being executed. Researchers are accountable for selecting their collaboration modes, a decision made through strategic decision making influenced by their environments and the tradeoffs among alternatives. In this context, by using bibliographic information and related internal data from the Korea Institute of Machinery and Materials (KIMM, a representative Korean government institute of mechanical research), this paper examines the suggested yet unproven determinants of research collaboration modes that the SCI data set cannot reveal through a Multinomial Probit Model. The results indicate that informal communication, cultural proximity, academic excellence, external fund inspiration, and technology development levels play significant roles in the determination of specific collaboration modes, such as sole research, internal collaboration, domestic collaboration, and international collaboration. This paper refines collaboration mode studies by describing the actual collaboration phenomenon as it occurs in research institutes and the motivations prompting research collaboration, allowing research mangers to encourage researchers to collaborate in an appropriate decision-making context.

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“…While co-authorship leads to stronger productivity, Piette and Ross (1992) report that repeatedly cited articles or those placed early in a journal (lead articles) contain few or no co-authors. Similarly, Ederington (1979) did not find any evidence that jointly authored articles differ in importance from articles with a single author.…”

Section: Ijefccsenetorgmentioning

confidence: 99%

“…Davis and Patterson (2001) find that co-authorship increases publication rates in the field of economics, but there are diminishing returns to co-authorship. Piette and Ross (1992) hypothesize that increasing complexity and specialization of economics research forces scholars to collaborate in order to maintain a desired level of quality. Similarly, Hollis (2001) shows that for a given individual economist, more co-authorship is associated with higher quality, greater length and greater frequency of publications (Note 6).…”

Section: Ijefccsenetorgmentioning

confidence: 99%

Characteristics of Top Tier Finance Journal Publications

Asem¹,

Baulkaran²

2016

IJEF

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This paper examines the characteristics of "top tier" finance journal publications relative to "second tier" finance publications. We study ten leading finance journals and classify the top four journals as "top tier" and the remaining six as "second tier" journals. Using a sample of 3,156 different articles with 7,103 different authors and a Logit model, the results highlight the following characteristics: papers presented at WFA, AFA, and seminars, and have multiple colleague comments tend to be published in the top tier journals. Also, authors who graduated from or are affiliated with the top business schools tend to publish in the top tier journals.

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An Analysis of the Determinants of Co-authorship in Economics

Cited by 51 publications

References 6 publications

Improvements in productivity based on co-authorship: a case study of published articles in China

Improvements in productivity based on co-authorship: a case study of published articles in China

The determinants of research collaboration modes: exploring the effects of research and researcher characteristics on co-authorship

Characteristics of Top Tier Finance Journal Publications

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