信息驱动型经济中的保险市场与经济增长:来自高收入和中等收入国家的证据?

IF 2.5 Q2 ECONOMICS
Rudra P. Pradhan, Sahar Bahmani, Rebecca Abraham, John H. Hall
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引用次数: 0

摘要

本调查的主要重点是1980年至2019年高收入和中等收入国家(H& mic)样本中保险市场、信息通信技术(ICT)基础设施和经济增长之间潜在的格兰杰因果关系。我们采用面板向量自回归模型,发现从长期来看,保险市场和信息通信技术基础设施是经济增长的granger因果关系。在短期内,我们发现了强有力的因果关系,但它们的性质各不相同。研究结果表明,中等收入国家的ICT基础设施规划应以支持经济增长的战略和可能促进保险市场发展的政策为基础。图形抽象
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Insurance Market and Economic Growth in an Information-Driven Economy: Evidence from a Panel of High- and Middle-Income Countries?

Insurance Market and Economic Growth in an Information-Driven Economy: Evidence from a Panel of High- and Middle-Income Countries?

The main focus of this investigation is potential Granger causal relationships between the insurance market, Information and Communications Technology (ICT) infrastructure, and economic growth in a sample of high- and middle-income countries (H&MICs) from 1980 to 2019. We deployed a panel vector autoregressive model, and found that in the long run, the insurance market and ICT infrastructure Granger-cause economic growth. In the short run, we found robust causal links, but they vary in nature. The findings suggest that H&MICs should base ICT infrastructure planning on strategies that endorse economic growth and policies that may also promote insurance market development.

Graphical Abstract

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来源期刊
CiteScore
3.00
自引率
0.00%
发文量
34
期刊介绍: The current remarkable growth in the Asia-Pacific financial markets is certain to continue. These markets are expected to play a further important role in the world capital markets for investment and risk management. In accordance with this development, Asia-Pacific Financial Markets (formerly Financial Engineering and the Japanese Markets), the official journal of the Japanese Association of Financial Econometrics and Engineering (JAFEE), is expected to provide an international forum for researchers and practitioners in academia, industry, and government, who engage in empirical and/or theoretical research into the financial markets. We invite submission of quality papers on all aspects of finance and financial engineering. Here we interpret the term ''financial engineering'' broadly enough to cover such topics as financial time series, portfolio analysis, global asset allocation, trading strategy for investment, optimization methods, macro monetary economic analysis and pricing models for various financial assets including derivatives We stress that purely theoretical papers, as well as empirical studies that use Asia-Pacific market data, are welcome. Officially cited as: Asia-Pac Financ Markets
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