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The effects of Internet usage, financial development and trade openness on economic growth in South Africa: A time series analysis

机译:互联网使用,金融发展和贸易开放度对南非经济增长的影响:时间序列分析

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摘要

This study estimates the effects of Internet usage, financial development and trade openness on economic growth using annual time series data for South Africa for the period 1991-2013. Structural unit root test and Johansen and ARDL cointegration tests are performed to examine the long run relationship amongst Internet usage, financial development, trade openness and economic growth. Findings from ARDL cointegration tests indicate a long-run relationship between the variables. Results from the ARDL estimates indicate a positive and significant long run relationship between Internet usage and economic growth in South Africa. Also, there is significant positive relationship between financial development and economic growth. However, the short run relationship among the variables was found to be insignificant. The robustness of the long-run relationship between the variables was checked by the application of dynamic ordinary least squares (DOLS) estimation. The Granger causality test reveals that both Internet usage and financial development Granger-cause economic growth in. South Africa. This causal link is found to be robust from the application of impulse response and variance decomposition analysis. Based on these findings, this study recommends that the South African government continue with policies that aim to invest more resources into its Internet infrastructure to further expand its network and usage. (C) 2015 Elsevier Ltd. All rights reserved.
机译:这项研究使用1991-2013年南非的年度时间序列数据,估计了互联网使用,金融发展和贸易开放度对经济增长的影响。进行了结构单位根检验以及Johansen和ARDL协整检验,以检验Internet使用,金融发展,贸易开放性和经济增长之间的长期关系。 ARDL协整测试的结果表明变量之间存在长期关系。 ARDL估计的结果表明,南非的互联网使用与经济增长之间存在着长期的正向和显着长期关系。此外,金融发展与经济增长之间存在显着的积极关系。但是,发现变量之间的短期关系不明显。通过使用动态普通最小二乘(DOLS)估计来检查变量之间长期关系的鲁棒性。格兰杰因果关系检验表明,互联网的使用和金融发展都导致南非的经济增长。从脉冲响应和方差分解分析的应用中发现,这种因果联系是可靠的。基于这些发现,本研究建议南非政府继续采取旨在向其互联网基础设施投入更多资源以进一步扩展其网络和用途的政策。 (C)2015 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Telematics and Informatics》 |2016年第4期|1141-1154|共14页
  • 作者

    Salahuddin Mohammad; Gow Jeff;

  • 作者单位

    Univ So Queensland, Fac Business Econ Law & Accounting, Australian Digital Future Inst, Toowoomba, Qld 4350, Australia|Univ So Queensland, Fac Business Econ Law & Accounting, Sch Commerce, Toowoomba, Qld 4350, Australia;

    Univ So Queensland, Fac Business Econ Law & Accounting, Sch Commerce, Toowoomba, Qld 4350, Australia|Univ Stellenbosch, Dept Agr Econ, ZA-7600 Stellenbosch, South Africa;

  • 收录信息 美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    ARDL; DOLS; Economic growth; Granger causality; Internet usage; South Africa;

    机译:ARDL;DOLS;经济增长;格兰杰因果关系;互联网使用;南非;

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