Interregional Population Flow and Open Growth of Insurance — Empirical Analysis Based on Provincial Panel Spatial Econometrics
DOI:
https://doi.org/10.64051/jhn.v1i1.8Keywords:
Population Flow, Insurance Growth, Spatial SpilloverAbstract
With China being gradually transformed into an open society where population can flow freely, it deserves more attention that interregional population flow will bring about the interactive growth of insurance. Based on the traditional insurance growth theory, this paper focuses on the internal mechanism how interregional population flow can affect insurance growth, uses the provincial panel data from 2012 to 2015 to construct a flow spatial weighting matrix based on the interregional population flow scale, and sets up a spatial econometric model for empirical analysis. Results show that, if the population flow increases by 1 percentage point, the region's insurance industry will grow 0.0794 percentage points, and other regions' insurance will grow 0.184 percentage points, making the national insurance industry increase by 0.264 percentage points., which is to say, the indirect effects of spatial knowledge spillover on insurance growth account for more than two thirds of the overall effects. This conclusion provides the policy enlightenment for promoting the interregional population flow, adjusting the product structure and marketing strategy in time by insurance companies, and promoting the balanced and coordinative development of the insurance industry in China.
References
[1]An Husen, Liu Junhui. The impact of pendulum-like labor mobility on inter-regional development gaps: A study based on the theory of new economic geography[J]. Financial Research, 2014, 40(10):84-96.
[2]Bai Junhong, Wang Yue, Jiang Fuxin, Li Jing . R&D factor flow, spatial knowledge spillover and economic growth[J]. Economic Research, 2017, (7): 109-123.
[3]Guo Jinlong, Zhang Hao. Analysis of demographic factors in the development of China's insurance industry[J]. Chinese Population Science, 2005, (1):74-80.
[4]Guo Jinlong, Zhang Lei. Analysis of the dynamic impact of population structure changes on commercial insurance[J]. Financial Theory and Practice, 2014, (1):1-6.
[5]Huang Shan, Cao Weili. An empirical analysis of the demand for life insurance in China[J]. Journal of University of Shanghai for Science and Technology, 2008, 30, (6):551-556.
[6]Li Jing, Tan Qingmei, Bai Junhong. Spatial econometric analysis of regional innovation production in China: An empirical study based on static and dynamic spatial panel models[J]. Management World, 2010 , (7):43-55.
[7]Liao Haiya, You Jie. Insurance development under the transformation of China's population structure[J]. Insurance Research, 2012 , (3): 24-32.
[8]Lin Guangping, Long Zhihe, Wu Mei. Spatial econometric empirical analysis of regional economic convergence in my country: 1978-2002[J]. Economics (Quarterly), 2005, 4(S1):71-86.
[9]Liu Yuyun, Xu Xianxiang, Xiao Zekai. The inverted U-shaped pattern of labor force mobility across dialects[J]. Economic Research, 2015 , (10): 134-146.
[10]Sun Xiuqing. The impact of population structure changes on the development of the insurance industry[J]. Journal of Shandong Finance Institute, 2004 , (4): 66-69.
[11]Sun Xiuqing. An empirical analysis of the factors affecting the development of life insurance in Shandong Province[J]. Journal of Shandong Finance Institute, 2009 , (2):23-27.
[12]Sun Xiuqing. An empirical comparative analysis of regional disparities in China's life insurance industry[J]. Economic and Management Review, 2013, (2):127-135.
[13]Yin Chengyuan, Zhao Guiling, Zhou Wenhai. Empirical analysis and forecasting of China's life insurance premium income[J]. Insurance Research, 2008, (1):48-52.
[14]Yuan Cheng. Research on the impact of population structure change on the development of life insurance market in Jiangsu Province[J]. Journal of Hohai University (Philosophy and Social Sciences Edition), 2017, 19, (1): 37-42.
[15]Zhang Chong. Research on the impact of China's population structure on the development of life insurance market[J]. Insurance Research, 2013, (4): 63-70.
[16]Zhang Jinlin. A perspective on the domestic environment of the development of China's life insurance market[J]. Management World, 2005 , (6):147-148.
[17]Zhang Lianzeng, Shang Ying. Analysis on the impact of China's population aging on the development of the life insurance market: An empirical analysis based on provincial panel data[J]. Insurance Research, 2011, (1): 46-53.
[18]Zhang Lianzeng, Wang Jiao. Analysis of factors affecting life insurance demand in my country: empirical analysis based on provincial panel data[J]. Taxation and Economy, 2014, (1):48-56.
[19]Zhang Wei, Guo Jinlong, Zhang Xuying, Qiu Changrong. Analysis of factors affecting the development of China's insurance industry and regional differences[J]. Journal of Quantitative and Technical Economics, 2005, 22 , (7): 108-117.
[20]Zheng Wei, Liu Yongdong. Comparative study on regional development of China's insurance industry: An analysis based on "insurance benchmark depth ratio"[J]. Economic Science, 2008, (5):96-109.
[21]Zhuo Zhi. An empirical analysis of life insurance demand in my country[J]. Insurance Research, 2001, (5):10-12.
[22]Zou Hong, Liu Bending, Luo Yanjie. An empirical study on regional disparity of insurance demand in China[J]. Insurance Research, 2011, (6): 43- 50.
[23]Beck, T., and IM Webb. Determinants of Life Insurance Consumption across Countries [M]. World Bank Publications, 2002.
[24]Kakar, P., and R. Shukla. The Determinants of Demand for Life Insurance in an Emerging Economy—India [J]. The Journal of Applied Economic Research, 2010, 4(1): 49-77.
[25]LeSage, JP, and RK Pace. Spatial Econometric Modeling of Origin- Destination Flows [J]. Journal of Regional Science , 2008, 48(5): 941-967.
[26]Outreville, JF. Life Insurance Markets in Developing Countries [J]. Journal of Risk and Insurance, 1996, 63(2): 263-278.
[27]Tobler, WR. A Computer Movie Simulating Urban Growth in the Detroit Region [J]. Economic Geography, 1970, 46(sup1): 234-240.
