ECONOMIC SYSTEMS RESEARCH SPECIAL ISSUE
ECONOMIC SYSTEMS RESEARCH SPECIAL ISSUE
Okuyama and Santos SERVED AS Co-Guest editors oF ESR
Tuesday, November 19, 2013
Economic Systems Research (ESR) is a double-peer reviewed scientific journal dedicated to the furtherance of theoretical and factual knowledge about economic systems, structures and processes, and their change through time and space, at the subnational, national and international levels. The journal contains sensible, matter-of-fact tools and data for modeling, policy analysis, planning and decision-making in large economic environments. It promotes understanding in economic thinking and between theoretical schools of East and West, North and South. The journal is non-partisan, factual and problem-oriented. As the official journal of the International Input-Output Association (IIOA), it aims to serve as a vehicle of cross-cultural information and contact. Topics within the purview of the journal include linear and non-linear multi-sectoral models of structure and structural change and development, ecosystems and the treatment of depletable resources, environmental and strategic questions, databases and data banks, large-scale computational methods and languages. The journal includes reviews of pertinent literature and special issues on new emerging areas of research in its field.
Abstracting and Indexing: ESR is currently abstracted and indexed in the Social Sciences Citation Index, CSA (Risk Abstracts), Elsevier GEOAbstracts (Human Geography; International Development Abstracts), IBSS, IBZ, Econlit, EBSCO (Business Source Corporate, Business Source Elite, Business Source Premier, Corporate Resource Net, MasterFile Elite, MasterFile Select, MasterFile Premier, TOC Premier, TOPICsearch), Economic Literature Database, OCLC ArticleFirst Database, OCLC FirstSearch Electronic Collections Online and Scopus.
Prof. Yasuhide Okuyama and Joost Santos were invited to serve as co-guest editors of Economic Systems Research (ESR). A special issue will be devoted on the use of economic data, models, and analysis for disaster assessment and management.