A σ-Convergence Model for Analyzing the Balance of Insurance Industry in China

Author:

Yang Zeyun12ORCID,Xiao Wendong2ORCID,Fu Qiaoling2ORCID

Affiliation:

1. School of Insurance Economics, University of International Business and Economics, Beijing 100029, China

2. Management College of Beijing Union University, Beijing Union University, Beijing 100101, China

Abstract

There are significant regional differences in the development of China’s insurance industry. An important question is that such regional differences are expanding or shrinking? Based on Barrow’s economic growth convergence model, this paper uses the σ convergence model to analyze the differences in the development of China’s insurance industry and its trends. It draws on the statistics data from 1990 to 2020. The empirical results show that the convergence of China’s insurance development is not obvious before 2006, but it shows a significant convergence after 2006. And, there are some differences between the Eastern, the Central, and the Western. Furthermore, when considering the spatial correlation, the convergence of insurance development among provinces in China is more obvious. This shows that the flowing of capital, technology, and labor force between regions may be beneficial to the balanced development of insurance among the regions.

Funder

Beijing Municipal Philosophy and Social Science Planning Office

Publisher

Hindawi Limited

Subject

Modelling and Simulation

Reference23 articles.

1. Research on spatial distribution of China’s insurance industry;J. Zhu;Insurance Studies,2005

2. Research on regional difference in insurance market of China;W. Huang;Finance & Economics,2006

3. On regional equilibrium of insurance market: based on the theory and practice of the insurance demand;Z. Xiao;Journal of Financial Research,2007

4. On spatial inequality and polarization of insurance development in China—based on the contrastive analysis between non-life insurance and life insurance from 1998 to 2010;C. Li;Collected Essays on Finance and Economics,2013

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