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Effects of Autocracy and Democracy on FDI’s Inflows

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Proceedings of the Thirteenth International Conference on Management Science and Engineering Management (ICMSEM 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1002))

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Abstract

This  study aims to examine the effect of Autocracy and Democracy on Foreign Direct Investment (FDI) inflows in 15 Asian developing countries. For empirical examination, this study used panel data over the period 1995 to 2015 by employing dynamic panel data. The study shows a significant and positive relationship with autocracy and significant and negative relation with democracy. The empirical finding suggests that the country can attract more FDI in the presence of more autocratic institutions and less democratic institutions. Among the controlling variables trade, market capitalisation, population and literacy rate are significant with democracy while trade becomes insignificant with the main variable democracy.

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Author information

Authors and Affiliations

  1. Business School, Sichuan University, Chengdu, 610065, People’s Republic of China

    Tahir Yousaf

  2. School of Public Finance and Taxation, Southwestern University of Finance and Economics, Chengdu, 610065, People’s Republic of China

    Qurat ul Ain

  3. University of Sargodha, Sargodha, Pakistan

    Yasmeen Akhtar

Authors
  1. Tahir Yousaf
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  2. Qurat ul Ain
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  3. Yasmeen Akhtar
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Corresponding author

Correspondence to Qurat ul Ain .

Editor information

Editors and Affiliations

  1. Business School, Sichuan University, Chengdu, China

    Jiuping Xu

  2. Department of Mathematics and Statistics, Brock University on McMaster, Hamilton, ON, Canada

    Syed Ejaz Ahmed

  3. Department of Management, Monash University, Melbourne, VIC, Australia

    Fang Lee Cooke

  4. Academy of Sciences of Moldova, Chisinau, Moldova

    Gheorghe Duca

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Yousaf, T., Ain, Q.u., Akhtar, Y. (2020). Effects of Autocracy and Democracy on FDI’s Inflows. In: Xu, J., Ahmed, S., Cooke, F., Duca, G. (eds) Proceedings of the Thirteenth International Conference on Management Science and Engineering Management. ICMSEM 2019. Advances in Intelligent Systems and Computing, vol 1002. Springer, Cham. https://doi.org/10.1007/978-3-030-21255-1_40

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