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This paper examined the carbon market literature from 1992 to 2011 using bibliometric techniques based on the database of Science Citation Index (SCI) and Social Science Citation Index (SSCI). Of 5809 publications, 82% were journal articles. Our analysis documents that carbon market publications are expanding rapidly. Based on the contribution of countries and their h-index, the US has published most and been most influential in this area, followed by the UK, Canada, Germany and China. The Chinese Academy of Sciences (120), US Forestry Service (70) and University of Maryland (68) were the most productive research institutes. The most common subject category, Environment Sciences (1551), experienced an exponential increase with an average growth rate of about 50%, and the most productive journal was Energy Policy (469). According to the analysis of keywords, the hotspots related to carbon markets were “global warming” and “carbon tax” in the 1990's, but “climate change” and the “clean development mechanism” superceded them in the most recent decade. The most cited article published in Science in carbon market research is presented. This analysis is not only helpful for policymakers and others to understand trends in the field, but may also influence researchers' selection of future studies. [ABSTRACT FROM AUTHOR]

Abstract: This review concerns the methodological challenges that industrial ecology faces in integrating natural and social sciences. Network analysis can be seen as the most promising method to mediate between industrial ecology's overall systems approach and the complex structures found in society. It is a well established method across scientific disciplines, including the social sciences. It has been successfully applied in industrial ecology, in which localized phenomena of industrial symbiosis have been a key focus, and where metrics from both the social and natural sciences are used to understand socio-metabolic structures. In this paper we classify such studies as Social-Material Network Analyses and we discuss the body of work, drawing on network analyses from various disciplines. A challenge is the hierarchical nature of industrial networks and how it can be addressed socially. We discuss the opportunities and limitations of metric-driven network analysis and offer a review of methodological options for Social-Material Network Analyses. [Copyright &y& Elsevier]