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Determinants of high-tech export in developing countries based on Bayesian model averaging

Author

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  • Mohsen Mehrara

    (Faculty of Economics, University of Tehran, North Kargar St, Tehran, Tehran Province, Iran)

  • Samaneh Seijani

    (Faculty of Economics, University of Tehran, North Kargar St, Tehran, Tehran Province, Iran)

  • Abbas Rezazadeh Karsalari

    (Department of Management, Islamic Azad University Tafresh Branch,Tafresh, Markazi province, Iran)

Abstract

Given the importance and role of high-tech exports in economic growth, it is necessary to identify variables affecting export. Accordingly, in this article we studied the determinants of export for 24 developing countries during the period 1996 to 2013 based on Bayesian Model Averaging (BMA) and Weighted-Average Least Square (WALS) technique. The results show that rule of law as a proxy for Institutional quality, human capital, import (as a measure of openness) and GDP with posterior inclusion probability 100% are the most important variables influencing the high- technology export in developing countries.

Suggested Citation

  • Mohsen Mehrara & Samaneh Seijani & Abbas Rezazadeh Karsalari, 2017. "Determinants of high-tech export in developing countries based on Bayesian model averaging," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 35(1), pages 199-215.
    • Handle: RePEc:rfe:zbefri:v:35:y:2017:i:1:p:199-215
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    References listed on IDEAS

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    Cited by:

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    2. Faiza Manzoor & Longbao Wei & Mohammad Nurunnabi & Qazi Abdul Subhan, 2019. "Role of SME in Poverty Alleviation in SAARC Region via Panel Data Analysis," Sustainability, MDPI, vol. 11(22), pages 1-14, November.
    3. Idris, Zera Zuryana & Ismail, Normaz Wana & Ibrahim, Saifuzzaman & Hamzah, Hanny Zurina, 2021. "High-Technology Trade: Does it Enhance National Competitiveness?," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 55(3), pages 35-48.
    4. Shen, Chang & Linn, Joshua, 2021. "The Effect of Income on Vehicle Demand: Evidence from China’s New Vehicle Market," RFF Working Paper Series 21-17, Resources for the Future.
    5. Mohd. FAYAZ & Sandeep KAUR, 2019. "An Empirical Analysis Of The Determinants Of India’S High-Technology Exports," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 19(2), pages 29-44.
    6. Tatjana Stevanoviæ & Maja Ivanoviæ-Ðukiæ & Tamara Raðenoviæ & Ognjen Radoviæ, 2018. "The impact of national intellectual capital on the economic growth in the South-Eastern European Countries," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 36(2), pages 777-800.
    7. Radovan Kastratović, 2020. "The impact of foreign direct investment on host country exports: A meta‐analysis," The World Economy, Wiley Blackwell, vol. 43(12), pages 3142-3183, December.

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    More about this item

    Keywords

    high technology export; Bayesian model averaging; weighted-average least square; developing countries;
    All these keywords.

    JEL classification:

    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General

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