IDEAS home Printed from https://ideas.repec.org/a/arp/tjssrr/2018p165-175.html
   My bibliography  Save this article

Impacts of R&D Expenditures on High Technology Product Exports in BRICST Countries

Author

Listed:
  • Sevgi Sezer

    (Assist. Prof. Dr. Bal?kesir University, Burhaniye School of Applied Sciences, Banking and Finance Department Burhaniye, Bal?kesir, Turkey)

Abstract

One of the best solutions for countries with foreign trade deficit and cannot increase total exports is to improve the added value of exported products. High technology products have the highest added value. The method to increase production and exports in high technology products is to increase R&D expenditures and qualified labor force available for the R&D sector. South Korea, for example, is one of the countries that significantly accelerate economic growth thanks to technology-intensive exports. South Korea, has recognized the importance of advanced technology-driven growth in its export-oriented economic growth strategy. South Korea has succeeded in transforming the composition of the manufacturing industry significantly over the years and transforming it from labor-intensive industry to capital-intensive and high-tech industries (Arslanhan and Ve Kurtsal, 2010). Again, China initially started with cheap and low quality products exports based on cheap labor. However, when China came to 2012, there were 170 automobile brands producing and exporting. There were advances towards the defense and space industry. In the same years, China has begun to take its place in the pharmaceutical industry with its advanced technology and mass production capacity (Ozsoylu and Algan, 2011; World Bank, 2012). On the other hand, India has significantly accelerated its economic growth through computer software, natural healthy life support products and remote call center services it offers to developed countries thanks to the individuals it sent for education abroad in the 1960s (Hindistan, 2012). Members of BRICST countries, Brazil, Russia, India, China, South Africa and Turkey drew global attention due to their economic growth performance in recent years. Economic performance of these countries affects the foreign trade volume and economic growth for the rest of the world. In the present study, impacts of R&D expenditures and the size of the qualified R&D labor force on high technology exports were investigated for BRICTS countries using panel data analysis for 1996-2014 period. We expected that the study findings would reveal a positive impact of R&D expenditures and qualified labor force in the R&D sector on exports in high technology products. The present study would contribute to the literature as it would draw the attention of developing countries to the significance of R&D expenditures and qualified labor force in the R&D sector.

Suggested Citation

  • Sevgi Sezer, 2018. "Impacts of R&D Expenditures on High Technology Product Exports in BRICST Countries," The Journal of Social Sciences Research, Academic Research Publishing Group, vol. 4(10), pages 165-175, 10-2018.
    • Handle: RePEc:arp:tjssrr:2018:p:165-175
    as

    Download full text from publisher

    File URL: https://www.arpgweb.com/pdf-files/jssr4(10)165-175.pdf
    Download Restriction: no
    File URL: https://www.arpgweb.com/?ic=journal&info=archive&journal=7&month=10-2018&issue=10&volume=4
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    2. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    3. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    4. Hashem Pesaran, M. & Yamagata, Takashi, 2008. "Testing slope homogeneity in large panels," Journal of Econometrics, Elsevier, vol. 142(1), pages 50-93, January.
    5. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    6. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    7. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    8. Maddala, G S & Wu, Shaowen, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hamid Sepehrdoust & Mohsen Tartar & Razieh Davarikish, 2021. "Does Scientific Productivity Stimulate Intensified Technology Exports in Developing Economies," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(4), pages 2111-2135, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chakraborty, Saptorshee Kanto & Mazzanti, Massimiliano, 2020. "Energy intensity and green energy innovation: Checking heterogeneous country effects in the OECD," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 328-343.
    2. Olivier Damette & Mathilde Maurel & Michael A. Stemmer, 2016. "What does it take to grow out of recession? An error-correction approach towards growth convergence of European and transition countries," Post-Print halshs-01318131, HAL.
    3. Chakraborty, Saptorshee Kanto & Mazzanti, Massimiliano, 2021. "Renewable electricity and economic growth relationship in the long run: Panel data econometric evidence from the OECD," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 330-341.
    4. Aladejare, Samson Adeniyi, 2023. "Economic prosperity, asymmetric natural resource income, and ecological demands in resource-reliant economies," Resources Policy, Elsevier, vol. 82(C).
    5. Khan, Zeeshan & Haouas, Ilham & Trinh, Hai Hong & Badeeb, Ramez Abubakr & Zhang, Changyong, 2023. "Financial inclusion and energy poverty nexus in the era of globalization: Role of composite risk index and energy investment in emerging economies," Renewable Energy, Elsevier, vol. 204(C), pages 382-399.
    6. In Choi, 2012. "Panel Cointegration," Working Papers 1208, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    7. Amba Oyon Claude Marius & Taoufiki Mbratana & Kane Gilles Quentin, 2017. "Assessing the current account sustainability in ECCAS economies: A dual cointegration analysis," Economics Bulletin, AccessEcon, vol. 37(3), pages 1873-1894.
    8. Hassan, Taimoor & Song, Huaming & Khan, Yasir & Kirikkaleli, Dervis, 2022. "Energy efficiency a source of low carbon energy sources? Evidence from 16 high-income OECD economies," Energy, Elsevier, vol. 243(C).
    9. Dina Azhgaliyeva, 2013. "What Makes Oil Revenue Funds Effective," International Conference on Energy, Regional Integration and Socio-economic Development 6023, EcoMod.
    10. Mariam Camarero & Sergi Moliner & Cecilio Tamarit, 2022. "Which are the long-run determinants of US outward FDI? Evidence using large long-memory panels," Working Papers 2022.08, International Network for Economic Research - INFER.
    11. Katircioglu, Salih Turan & Sertoglu, Kamil & Candemir, Mehmet & Mercan, Mehmet, 2015. "Oil price movements and macroeconomic performance: Evidence from twenty-six OECD countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 257-270.
    12. Tarik Dogru & Umit Bulut & Ercan Sirakaya-Turk, 2021. "Modeling tourism demand: Theoretical and empirical considerations for future research," Tourism Economics, , vol. 27(4), pages 874-889, June.
    13. Belaïd, Fateh & Zrelli, Maha Harbaoui, 2019. "Renewable and non-renewable electricity consumption, environmental degradation and economic development: Evidence from Mediterranean countries," Energy Policy, Elsevier, vol. 133(C).
    14. Arshian Sharif & Najia Saqib & Kangyin Dong & Syed Abdul Rehman Khan, 2022. "Nexus between green technology innovation, green financing, and CO2 emissions in the G7 countries: The moderating role of social globalisation," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(6), pages 1934-1946, December.
    15. Jones, Sam, 2015. "Aid Supplies Over Time: Addressing Heterogeneity, Trends, and Dynamics," World Development, Elsevier, vol. 69(C), pages 31-43.
    16. Fang, Zheng & Chang, Youngho, 2016. "Energy, human capital and economic growth in Asia Pacific countries — Evidence from a panel cointegration and causality analysis," Energy Economics, Elsevier, vol. 56(C), pages 177-184.
    17. Zeeshan Arshad & Margarita Robaina & Anabela Botelho, 2020. "Renewable and Non-renewable Energy, Economic Growth and Natural Resources Impact on Environmental Quality: Empirical Evidence from South and Southeast Asian Countries with CS-ARDL Modeling," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 368-383.
    18. Khan, Zeeshan & Ali, Muhsin & Jinyu, Liu & Shahbaz, Muhammad & Siqun, Yang, 2020. "Consumption-based carbon emissions and trade nexus: Evidence from nine oil exporting countries," Energy Economics, Elsevier, vol. 89(C).
    19. Qamruzzaman, Md & Karim, Salma & Jahan, Ishrat, 2022. "Nexus between economic policy uncertainty, foreign direct investment, government debt and renewable energy consumption in 13 top oil importing nations: Evidence from the symmetric and asymmetric inves," Renewable Energy, Elsevier, vol. 195(C), pages 121-136.
    20. Jalil, Abdul, 2014. "Energy–growth conundrum in energy exporting and importing countries: Evidence from heterogeneous panel methods robust to cross-sectional dependence," Energy Economics, Elsevier, vol. 44(C), pages 314-324.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arp:tjssrr:2018:p:165-175. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Managing Editor (email available below). General contact details of provider: http://arpgweb.com/?ic=journal&journal=7&info=aims .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.