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Yemin Miao "
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Application of Hierarchical Model in Non-Life Insurance Actuarial Science
[PDF]
Guiming Miao
Modern Economy (ME)
,
2018,
DOI: 10.4236/me.2018.93025
; meanwhile, the accuracy of complex structure data prediction is improved. This
paper, using a hierarchical generalized linear model, studies the non-life rate determination of
multi-year loss data and takes auto insurance data for empirical analysis. The
research results show that GLMM’s fitting degree is greatly improved compared
with GLM, considering the random effects. It can more effectively reflect
different risk individual differences and also reveal the heterogeneity and
correlation of risk individual loss during multiple insurance periods.
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Study on Regional Efficiency and Productivity of Guangdong Province —Based on Hicks-Moorsteen TFP Index
[PDF]
Jia Miao
Modern Economy (ME)
,
2018,
DOI: 10.4236/me.2018.912134
TFP index is employed to investigate regional efficiency and productivity
of 21 cities in Guangdong province during 2000-2015. The findings demonstrate
that the efficiency of the whole province first rises and then falls, and has
rebounded in recent years. Technical efficiency and scope efficiency have
increased, while regional scale efficiency has declined. The Pearl River Delta region
has obvious competitive advantages, and scope efficiency alleviates the decline
in the efficiency of the non PRD. Secondly, the results indicate that Shenzhen
has strong regional development competitiveness, and the economic development
efficiency which leads Guangdong province. Thirdly, although the total factor
productivity of 21 cities in Guangdong province has increase 0.38 percent with
an average level of 1.0165 during this period with a comparatively large
fluctuation, the slow growth of technological progress hindered the progress of TFP to some extent. In addition, the TFP level in the PRD region has some
advantages over the non PRD region. Finally, as the most efficient city, Shenzhen’s TFP level is in the middle and upper
reaches and has great potential.
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