Modeling the Antecedents of Proactive Personality in Rural and Marginalized Regions: An Ordered Logit Analysis
Proactive people by their very nature can make things happen. They therefore can play a key role in a rural and marginalized region, for example, in initiating to establish small businesses and enterprises. This in turn helps to improve the living standard and welfare of rural and marginalized people by developing and enhancing the sources of livelihood and increasing competitiveness in such areas. Though proactive personality (PAP) is a highly researched topic,PAP in relation to rural and marginalized areas has not received the same attention of researchers. This article therefore attempts to bridge this research gap by investigating proactive behavior of young people in rural and marginalized regions with data obtained from
entrepreneurship development and career choice survey among young students in Sogn og Fjordane county of Norway. In the literature, people’s proactive behavior is usually considered an independent variable in an analysis. But we believe that there must be some antecedents underlying PAP. So we investigate this by using ordered logit model since respondent’s rating is inherently an ordinal variable. This article therefore will address the problem by treating PAP as an ordinal variable by using an ordered logit model to investigate the antecedents underlying respondents’ PAP. We use descriptive, associative and causality analyses in the article.
entrepreneurship development and career choice survey among young students in Sogn og Fjordane county of Norway. In the literature, people’s proactive behavior is usually considered an independent variable in an analysis. But we believe that there must be some antecedents underlying PAP. So we investigate this by using ordered logit model since respondent’s rating is inherently an ordinal variable. This article therefore will address the problem by treating PAP as an ordinal variable by using an ordered logit model to investigate the antecedents underlying respondents’ PAP. We use descriptive, associative and causality analyses in the article.
Publisert i 2014
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