The importance of research teams with diverse backgrounds: Research collaboration in the Journal of Productivity Analysis

Abstract

The Journal of Productivity Analysis (JPA) is a pioneering academic journal that aims to develop new methodologies for efficiency and productivity measurement and apply them into various fields. Collaboration between the contributing authors in JPA who are from various countries, institutes, and disciplines/fields makes it possible to affect the quality of articles. Drawing from bibliographic article information, this paper finds stylized facts from author and keyword networks, and the efficiency of JPA's major authors. We then examine research collaboration effects in JPA by using a research impact measurement technique. Empirical findings show that author and keyword networks changed over time, and that collaboration across various authors, institutional types and continents is positively associated with research impact.