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Efficiency and productivity in the Thai non-life insurance industry

机译:泰国非寿险业的效率和生产力

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This paper estimates a stochastic cost frontier for a sample of the non-life insurance industry in Thailand from 2000 to 2007. Our model explicitly considers the heteroscedasticity in the variances of the noise and inefficiency components that could affect the position of the cost frontier as well as the measurement of efficiency. Tests for double heteroscedasticity and appropriate specification for the cost frontier are performed. The chosen model is used to examine whether economies of scale and a change in technology exist. In addition, this paper calculates total factor productivity (TFP) change and decomposes it into scale effect, cost efficiency effect, technology effect, output effect, price effect, and environmental effect. Our results reveal that, on average, Thai non-life insurance firms are between 74 and 79 % efficient, that economies of scale exist, and that regress in technology shifts the cost frontier upward by 2.2 %. The regress in technology is the dominant contributor to a negative TFP growth of 1.15 %. The restructuring of the industry following the 1997 Asian financial crisis finally paid off when the industry experienced technology progress in 2005 and beyond. Between 2005 and 2007, technology progress and productivity growth occurred at a little over 2 % a year. In-depth analysis of the most and the least efficient firms reveals that most efficient firms tend to strategically select types of insurance services and underwrite average and small size sum insured per policy to diversify their risks. In addition, they tend to be savvy investors. The opposite holds for the least efficient firms which concentrate in providing labor-intensive, small sum automobile insurance policies or underwrite large coverage policies for fewer policyholders. Balancing the mix of insurance types, spreading risk across insurance types or across number of policyholders, investing in high yield assets, or developing a market niche may prove beneficial for improving cost efficiency.
机译:本文估计了2000年至2007年泰国非寿险行业样本的随机成本边界。我们的模型明确考虑了噪声和低效率成分方差中的异方差性,这也可能影响成本边界的位置作为效率的度量。进行双重异方差性测试和成本前沿的适当规范。选择的模型用于检查规模经济和技术变化是否存在。此外,本文还计算了全要素生产率(TFP)的变化,并将其分解为规模效应,成本效率效应,技术效应,产出效应,价格效应和环境效应。我们的结果表明,平均而言,泰国非寿险公司的效率在74%至79%之间,存在规模经济,技术的进步使成本前沿上升了2.2%。技术退步是导致TFP负增长1.15%的主要因素。 1997年亚洲金融危机之后,该行业的重组终于获得回报,因为该行业在2005年及以后经历了技术进步。在2005年至2007年之间,技术进步和生产率的增长每年略高于2%。对效率最高和效率最低的公司的深入分析表明,效率最高的公司倾向于从战略上选择保险服务的类型,并为每个保单承保平均和小额保险金额,以分散其风险。此外,他们往往是精明的投资者。而效率最低的公司则相反,后者专注于提供劳动密集型的小额汽车保险保单或为较少的保单持有人承保大承保范围的保单。平衡保险类型的组合,在各种保险类型之间或在众多保单持有人之间分散风险,投资高收益资产或开发市场细分市场可能对提高成本效率有益。

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