IDEAS home Printed from https://ideas.repec.org/a/spr/jknowl/v16y2025i2d10.1007_s13132-024-02205-3.html
   My bibliography  Save this article

Democracy and Foreign Direct Investment in BRICS-TM Countries for Sustainable Development

Author

Listed:
  • Ibrahim Cutcu

    (Hasan Kalyoncu University)

  • Ahmet Keser

    (Hasan Kalyoncu University)

Abstract

The study aims to examine the long-term cointegration between the democracy index and foreign direct investment (FDI). The sample group chosen for this investigation comprises BRICS-TM (Brazil, Russia, India, China, South Africa, Turkey [Türkiye], and Mexico) countries due to their increasing strategic importance and potential growth in the global economy. Data from 1994 to 2018 were analyzed, with panel data analysis techniques employed to accommodate potential structural breaks. The level of democracy serves as the independent variable in the model, while FDI is the dependent variable. Inflation and income per capita are considered control variables due to their impact on FDI. The analysis revealed a long-term relationship with structural breaks among the model’s variables. Democratic progress and FDI demonstrate a correlated, balanced relationship over time in these countries. Therefore, governments and policymakers in emerging economies aiming to attract FDI should account for structural breaks and the correlation between democracy and FDI. Furthermore, the Kónya causality tests revealed a causality from democracy to FDI at a 1% significance level in Mexico, 5% in China, and 10% in Russia. From FDI to democracy (DEMOC), there is causality at a 5% significance level in Mexico and a 10% significance level in Russia. Thus, the findings suggest that supporting democratic development with macroeconomic indicators in BRICS-TM countries will positively impact foreign direct capital inflows. Graphical Abstract

Suggested Citation

  • Ibrahim Cutcu & Ahmet Keser, 2025. "Democracy and Foreign Direct Investment in BRICS-TM Countries for Sustainable Development," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(2), pages 10524-10565, June.
  • Handle: RePEc:spr:jknowl:v:16:y:2025:i:2:d:10.1007_s13132-024-02205-3
    DOI: 10.1007/s13132-024-02205-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13132-024-02205-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s13132-024-02205-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. M. Hashem Pesaran & Aman Ullah & Takashi Yamagata, 2008. "A bias-adjusted LM test of error cross-section independence," Econometrics Journal, Royal Economic Society, vol. 11(1), pages 105-127, March.
    2. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    3. Hashem Pesaran, M. & Yamagata, Takashi, 2008. "Testing slope homogeneity in large panels," Journal of Econometrics, Elsevier, vol. 142(1), pages 50-93, January.
    4. Kilci, Esra & Yilanci, Veli, 2022. "Impact of Monetary Aggregates on Consumer Behavior: A Study on the Policy Response of the Federal Reserve against COVID-19," Asian Journal of Applied Economics, Kasetsart University, Center for Applied Economics Research, vol. 29(01).
    5. Tavares, Jose & Wacziarg, Romain, 2001. "How democracy affects growth," European Economic Review, Elsevier, vol. 45(8), pages 1341-1378, August.
    6. Jorg Breitung, 2005. "A Parametric approach to the Estimation of Cointegration Vectors in Panel Data," Econometric Reviews, Taylor & Francis Journals, vol. 24(2), pages 151-173.
    7. Lacroix, Jean & Méon, Pierre-Guillaume & Sekkat, Khalid, 2021. "Democratic transitions can attract foreign direct investment: Effect, trajectories, and the role of political risk," Journal of Comparative Economics, Elsevier, vol. 49(2), pages 340-357.
    8. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    9. Donald W. K. Andrews, 2005. "Cross-Section Regression with Common Shocks," Econometrica, Econometric Society, vol. 73(5), pages 1551-1585, September.
    10. 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.
    11. Umer J Banday & Saba Ismail, 2017. "Does tourism development lead positive or negative impact on economic growth and environment in BRICS countries? A panel data analysis," Economics Bulletin, AccessEcon, vol. 37(1), pages 553-567.
    12. Hristos Doucouliagos & Mehmet Ali Ulubaşoğlu, 2008. "Democracy and Economic Growth: A Meta‐Analysis," American Journal of Political Science, John Wiley & Sons, vol. 52(1), pages 61-83, January.
    13. Minjing Yang & Cosimo Magazzino & Abraham Ayobamiji Awosusi & Navzodbek Abdulloev, 2024. "Determinants of Load capacity factor in BRICS countries: A panel data analysis," Natural Resources Forum, Blackwell Publishing, vol. 48(2), pages 525-548, May.
    14. Aparna Mathur & Kartikeya Singh, 2013. "Foreign direct investment, corruption and democracy," Applied Economics, Taylor & Francis Journals, vol. 45(8), pages 991-1002, March.
    15. Seyfettin Erdo an & Durmu a r Y ld r m & Ayfer Gedikli, 2019. "Investigation of Causality Analysis between Economic Growth and CO2 Emissions: The Case of BRICS T Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 9(6), pages 430-438.
    16. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    17. Opeoluwa Seun Ojekemi & Mehmet Ağa & Cosimo Magazzino, 2023. "Towards Achieving Sustainability in the BRICS Economies: The Role of Renewable Energy Consumption and Economic Risk," Energies, MDPI, vol. 16(14), pages 1-18, July.
    18. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    19. Ayhan Dolunay & Fevzi Kasap & Gökçe Keçeci, 2017. "Freedom of Mass Communication in the Digital Age in the Case of the Internet: “Freedom House” and the USA Example," Sustainability, MDPI, vol. 9(10), pages 1-21, October.
    20. Peter C. B. Phillips & Donggyu Sul, 2003. "Dynamic panel estimation and homogeneity testing under cross section dependence *," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 217-259, June.
    21. Alina-Cristina Nuță & Florian-Marcel Nuță, 2020. "Modelling the Influences of Economic, Demographic, and Institutional Factors on Fiscal Pressure Using OLS, PCSE, and FD-GMM Approaches," Sustainability, MDPI, vol. 12(4), pages 1-12, February.
    22. Jiajun Xu & Jinchao Wang & Xiaojun Yang & Zhida Jin & Yiming Liu, 2024. "Digital Economy and Sustainable Development: Insight From Synergistic Pollution Control and Carbon Reduction," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 20063-20090, December.
    23. Debora Spar, 1999. "Foreign Investment and Human Rights," Challenge, Taylor & Francis Journals, vol. 42(1), pages 55-80, January.
    24. Avik Chakrabarti, 2001. "The Determinants of Foreign Direct Investments: Sensitivity Analyses of Cross‐Country Regressions," Kyklos, Wiley Blackwell, vol. 54(1), pages 89-114, February.
    25. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Sevgi SEZER, 2017. "The effects of real exchange rates and income on the trade balance: A second generation panel data analysis for transition economies and Turkey," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(611), S), pages 171-186, Summer.
    3. Mehmet MERCAN, 2014. "Feldstein-Horioka Hipotezinin AB-15 ve Turkiye Ekonomisi icin Sinanmasi: Yatay Kesit Bagimliligi Altinda Yapisal Kirilmali Dinamik Panel Veri Analizi," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, vol. 14(2), pages 231-245.
    4. Huang, Lingyun & Zou, Yanjun, 2020. "How to promote energy transition in China: From the perspectives of interregional relocation and environmental regulation," Energy Economics, Elsevier, vol. 92(C).
    5. Ömer Yalçınkaya & İbrahim Hüseyni & Ali Kemal Çelik, 2017. "The Impact of Total Factor Productivity on Economic Growth for Developed and Emerging Countries: A Second-generation Panel Data Analysis," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 11(4), pages 404-417, November.
    6. Mao, Guangyu & Shen, Yan, 2019. "Bubbles or fundamentals? Modeling provincial house prices in China allowing for cross-sectional dependence," China Economic Review, Elsevier, vol. 53(C), pages 53-64.
    7. Afef Bouattour & Maha Kalai & Kamel Helali, 2024. "The non-linear relationship between ESG performance and bank stability in the digital era: new evidence from a regime-switching approach," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-17, December.
    8. 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.
    9. Schneider, Nicolas & Strielkowski, Wadim, 2023. "Modelling the unit root properties of electricity data—A general note on time-domain applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
    10. Alexander Chudik & M. Hashem Pesaran, 2013. "Large panel data models with cross-sectional dependence: a survey," Globalization Institute Working Papers 153, Federal Reserve Bank of Dallas.
    11. Mehmet Mercan & Ozlem Azer, 2013. "The Relationship between Economic Growth and Income Distribution in Turkey and the Turkish Republics of Central Asia and Caucasia: Dynamic Panel Data Analysis with Structural Breaks," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 3(2), pages 165-182, December.
    12. Ozcan, Burcu, 2013. "The nexus between carbon emissions, energy consumption and economic growth in Middle East countries: A panel data analysis," Energy Policy, Elsevier, vol. 62(C), pages 1138-1147.
    13. Qamruzzaman, Md, 2022. "Nexus between renewable energy, foreign direct investment, and agro-productivity: The mediating role of carbon emission," Renewable Energy, Elsevier, vol. 184(C), pages 526-540.
    14. 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.
    15. Usman, Muhammad & Makhdum, Muhammad Sohail Amjad, 2021. "What abates ecological footprint in BRICS-T region? Exploring the influence of renewable energy, non-renewable energy, agriculture, forest area and financial development," Renewable Energy, Elsevier, vol. 179(C), pages 12-28.
    16. Hamit-Haggar, Mahamat, 2012. "Greenhouse gas emissions, energy consumption and economic growth: A panel cointegration analysis from Canadian industrial sector perspective," Energy Economics, Elsevier, vol. 34(1), pages 358-364.
    17. Naib Alakbarov & Yılmaz Bayar, 2018. "Democratization and Economic Growth in Emerging Market Economies," Journal of Finance Letters (Maliye ve Finans Yazıları), Maliye ve Finans Yazıları Yayıncılık Ltd. Şti., vol. 33(109), pages 165-180, April.
    18. Yuan, Shengjun & Musibau, Hammed Oluwaseyi & Genç, Sema Yılmaz & Shaheen, Riffat & Ameen, Anam & Tan, Zhixiong, 2021. "Digitalization of economy is the key factor behind fourth industrial revolution: How G7 countries are overcoming with the financing issues?," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    19. Philip Arestis & Ayşe Kaya & Hüseyin Şen, 2018. "Does fiscal consolidation promote economic growth and employment? Evidence from the PIIGGS countries," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 15(3), pages 289-312, November.
    20. Le, Thai-Ha & Chang, Youngho & Park, Donghyun, 2016. "Trade openness and environmental quality: International evidence," Energy Policy, Elsevier, vol. 92(C), pages 45-55.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance

    Statistics

    Access and download statistics

    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:spr:jknowl:v:16:y:2025:i:2:d:10.1007_s13132-024-02205-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.