Doctor of Philosophy, The Ohio State University, 2004, Sociology
Most approaches adopted to explain the growth of the post-industrial complex focus on “modernization” through manufacture and industrialization. Unlike the industrial revolution, however, the post-industrial age is characterized by new divisions of labor emphasizing knowledge, information dissemination, sharing, coordination and control (i.e., advanced services). Because existing theories were not developed to explain post-industrialism, they may be misleading or inapplicable. As such, the purpose of this study is twofold: (1) to ecologically contextualize the post-industrial revolution and, (2) to create an empirical and practical model useful in explaining the post-industrial revolution using global life insurance penetration as a proxy. To this end four issues are addressed. First, I assess current theory with an eye toward synthesis in order to provide a holistic explanatory context for post-industrial evolution. Second, I demonstrate how life insurance penetration acts as a proxy for post-industrial growth. Third, I outline key hypothetical drivers of post-industrial change using the life insurance industry as a springboard. Finally, I analyze a pooled, cross-sectional time series of 49 countries over ten years (1991 to 2000) giving empirical support to these hypothetical drivers of post-industrial participation. Based upon theoretical synthesis, my conjunctual ecological model posits a causal process for post-industrial growth along four dimensions: geographic/environmental, demographic, socio-organizational/economic, and cyclical/temporal. Controlling for economic development, all dimensions yield fairly robust results. Geographically, national predisposition to shipping shows a strong net positive effect; also, demographic indicators such as population dependency, death rate and female labor force participation demonstrate broad net influences on insurance penetration. Socio-organizational variables such as savings and household consumption have little predi (open full item for complete abstract)
Committee: Edward Crenshaw (Advisor)
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