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

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.

Does Cross-Border E-Commerce Contribute to the Growth Convergence?

The impact of cross-border e-commerce (CBEC) on international trade is prominent in recent years. The authors extend the international trade model with heterogeneous firms to include CBEC export and deduce that CBEC lowers the capability threshold for export. Firms and regions with different capabilities are affected differently, but the total regional export is increasing. In the empirical analysis section, they use panel data from 31 provinces in China from 2015 to 2018 and construct proxy variables for CBEC with CBEC comprehensive pilot zones and CBEC exporters. They find that CBEC contributes to economic growth and economic convergence. The underlying mechanisms include the convergence of regional exports and total factor productivity, while the convergence of capital isn't supported by the results.

Konvergensi Pertumbuhan Ekonomi Kota dan Kabupaten Klaster Metropolitan Jawa Timur

The determination of the territorial clusters serves as the target of territorial development policies in order to increase equitable distribution of economic, infrastructure, social and cultural growth throughout East Java. This study aims to determine whether there is a decline in the economic growth gap every year (sigma convergence) and whether there is an acceleration of low economic growth to high economic growth (convergence beta) in the cities and districts of the East Java metropolitan cluster on 2015-2018. This research uses secondary data. The analytical method used in this study is convergence analysis and panel data regression analysis. The results showed that there was no decrease in the economic growth gap every year (sigma convergence) and there was no acceleration of low economic growth to high economic growth (beta convergence) in cities and districts of the East Java metropolitan cluster on 2015-2018. The estimation results of the regression analysis for beta convergence, both absolute and conditional, also show that there is no convergence in cities and districts in the East Java metropolitan cluster in the research year. The HDI and PMTB variables have not been able to encourage convergence of economic growth in cities and regencies in the metropolitan cluster of East Java. .

Technological Spillover, Growth Convergence And Technical Progress: Does technology flow from rich to poor economies?

This study examines Technology spillover from rich to poor countries, the study used a model that, at the aggregate level, is similar to the one sector neoclassical growth model. The model was estimated using data on technical progress, Average Product Per-Worker, Capital Stock and Technology Intensive Goods in 25 countries which consist of rich and poor countries over the last decade. A dynamic panel model is formulated and estimated Using Generalized method of moments by Arelano and Bond; and the implications of the estimates were evaluated for aggregate total factor productivity and economic growth. The results reveal that, on average, technology have contributed more to economic growth in high income economies and on the contrary technology have made little or no contribution in low income countries. Consequently, there is substantial variation across technologies and economies