Embeddedness Of Entrepreneurs In Rural Areas: A Comparative Rough Set Data Analysis
AbstractThis study aims to identify the critical factor(s) that determine the embeddedness level (EL) of rural entrepreneurs. In order to achieve this aim, existing applied studies on the embeddedness of entrepreneurs undertaken in different rural areas were systematically collected to create a database in order to provide the material for a systematic comparative analysis. This was done in order to highlight common and contrasting findings from a set of selected studies for different ELs. As many results of these studies were largely qualitative in nature and only partially comparable, a specific tool for analysing categorical data based on artificial intelligence methods, namely, rough set data analysis (RSDA), was employed. This experimental study is the first RSDA approach that compares the results of several rural case studies and infers general induction rules for the different ELs. The results of our analysis show that using and benefiting from local resources are the key factors that explain how entrepreneurs become embedded in rural areas.
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Bibliographic InfoArticle provided by Royal Dutch Geographical Society KNAG in its journal Tijdschrift voor economische en sociale geografie.
Volume (Year): 101 (2010)
Issue (Month): 5 (December)
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Web page: http://www.blackwellpublishing.com/journal.asp?ref=0040-747X
Other versions of this item:
- Aliye Ahu Gulumser & Peter Nijkamp & Tuzin Baycan-Levent & Martijn Brons, 2009. "Embeddedness of Entrepreneurs in Rural Areas: A Comparative Rough Set Data Analysis," Tinbergen Institute Discussion Papers 09-058/3, Tinbergen Institute.
- Q19 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Other
- R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
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- Maria Lúcia Pato & Aurora A.C. Teixeira, 2013. "Twenty years of rural entrepreneurship: a bibliometric survey," FEP Working Papers 516, Universidade do Porto, Faculdade de Economia do Porto.
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