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Post -industrial development: A conjunctual ecological model of the life insurance industry.

机译：后工业发展：人寿保险业的联合生态模型。

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摘要

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 predictive value, but inflation rates do show consistent negative effects on insurance penetration. The temporal influence of the US business cycle also partially determines the insurance penetration of other countries, demonstrating the economic convergence of the post-industrial world. A final proxy of the post-industrial syndrome, the percentage of GDP in services, displays a consistently positive net effects on the dependent variable. In conclusion, analysis and discussion demonstrate that a holistic theoretical approach to the post-industrial revolution is warranted. Moreover, these results have direct applicability to insurance marketing around the globe.
机译：用来解释后工业综合体增长的大多数方法都侧重于通过制造和工业化实现的“现代化”。但是，与工业革命不同，后工业时代的特征是新的劳动分工，强调知识，信息传播，共享，协调和控制（即先进的服务）。由于现有理论并未发展为解释后工业主义，因此它们可能会产生误导或不适用。因此，本研究的目的是双重的：（1）生态化后工业革命的环境；（2）创建经验和实用模型，以全球人寿保险普及率为代表来解释后工业革命。 。为此，解决了四个问题。首先，我着眼于综合性评估当前的理论，以便为后工业发展提供整体的解释背景。其次，我演示了寿险渗透率如何充当后工业增长的代理。第三，我概述了以人寿保险业为跳板的后工业变革的主要假设驱动力。最后，我分析了十年（1991年至2000年）中49个国家的汇总横截面时间序列，为后工业参与的这些假设驱动因素提供了经验支持。；基于理论综合，我的合取生态模型提出了一个因果关系过程后工业增长的四个方面：地理/环境，人口，社会组织/经济和周期性/时间性。控制经济发展，所有方面都产生相当强劲的结果。从地理上讲，国家对航运的倾向显示出强大的净积极作用；此外，人口依赖性，死亡率和女性劳动力参与度等人口指标显示出对保险普及率的广泛净影响。储蓄和家庭消费等社会组织变量几乎没有预测价值，但通货膨胀率确实对保险普及率显示出持续的负面影响。美国经济周期的时间影响也部分决定了其他国家的保险渗透率，表明后工业世界的经济趋同。后工业综合症的最终代表，即服务业中GDP的百分比，对因变量始终显示出积极的净影响。总之，分析和讨论表明，有必要对后工业革命采取整体的理论方法。而且，这些结果可直接应用于全球保险营销。

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  • 作者

    Oakey, Doyle Ray.;

  • 作者单位

    The Ohio State University.;

  • 授予单位 The Ohio State University.;
  • 学科 Sociology Social Structure and Development.;Business Administration Marketing.;Sociology Theory and Methods.
  • 学位 Ph.D.
  • 年度 2004
  • 页码 248 p.
  • 总页数 248
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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