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The impact of major macroeconomic variables on foreign direct investment in Nigeria: evidence from a wavelet coherence technique

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Abstract

Utilizing Nigeria as a case study, the investigators explored the linkages between FDI inflows and some selected macroeconomic indicators (exports, gross capital formation, trade openness, inflation, and economic growth) utilizing yearly data spanning between 1981 and 2018. The study used ARDL technique to capture the linkages between FDI inflows and its determining indicators. Furthermore, the wavelet coherence techniques was used. The main novelty of wavelet coherence is that it can obtain information on dynamic correlation and/or causality between economic variables at different frequencies and different time periods. Additionally, the FMOLS and the DOLS are employed as a robustness check to the ARDL long-run estimation. The findings from the ARDL long-run estimate reveal that exports and trade openness exert positive impact on FDI inflows. The findings from the FMOLS and DOLS backed ARDL results. Furthermore, the results of the wavelet coherence-based causality and wavelet correlation techniques further provide supportive evidence to the ARDL technique. To the authors' knowledge, no previous studies have used the wavelet coherence and wavelet correlation techniques to explore these dynamics. Based on these findings, policy directions were initiated.

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Notes

  1. Note: very strong correlation (above 0.9 or − 0.9), strong correlation (0.7 to 0.9 or − 0.7 to − 0.9), moderate correlation (0.5 to 0.7 or − 0.5 to − 0.7), low correlation (0.2 to 0.5 or − 0.2 to − 0.5), and very low correlation (0 to 0.2 or − 0 to − 0.2).

References

  • Adebayo TS (2020a) Dynamic relationship between oil price and inflation in oil exporting economy: empirical evidence from wavelet coherence technique. Energy Econ Lett 7(1):12–22

    Article  Google Scholar 

  • Adebayo TS (2020b) New insights into export-growth Nexus: wavelet and causality approaches. Asian J Econ Bus Account 15:32–44

    Article  Google Scholar 

  • Adebayo TS, Akinsola GD (2021) Investigating the causal linkage among economic growth, energy consumption and CO2 emissions in Thailand: an application of the wavelet coherence approach. Int J Renew Energy Dev 10(1):17–26. https://doi.org/10.14710/ijred.2020.32233

    Article  Google Scholar 

  • Adebayo TS, Beton Kalmaz D (2020) Ongoing debate between foreign aid and economic growth in Nigeria: a wavelet analysis. Soc Sci Quart 6(2):37–44

    Google Scholar 

  • Adebayo EO, Gambiyo SP (2020) Economic analysis of the determinants of foreign direct investment (FDI) in Nigeria. Arch Bus Res 8(1):74–81

    Article  Google Scholar 

  • Aguiar M, Gopinath G (2007) Emerging market business cycles: the cycle is the trend. J Polit Econ 115(1):69–102

    Article  Google Scholar 

  • Alola AA, Kirikkaleli D (2019) The nexus of environmental quality with renewable consumption, immigration, and healthcare in the US: wavelet and gradual-shift causality approaches. Environ Sci Pollut Res 26(34):35208–35217

    Article  Google Scholar 

  • Asiamah M, Ofori D, Afful J (2020) Analysis of the determinants of foreign direct investment in Ghana. J Asian Bus Econ Stud 26(01):56–75

    Article  Google Scholar 

  • Awad A (2020) Foreign direct investment inflows to Malaysia: do macroeconomic policies matter? J Intern Stud 13(1):196–211

    Article  Google Scholar 

  • Blomström M, Kokko A (1998) Multinational corporations and spillovers. J Econ Surv 12(3):247–277

    Article  Google Scholar 

  • Boateng A, Hua X, Nisar S, Wu J (2015) Examining the determinants of inward FDI: evidence from Norway. Econ Model 47:118–127

    Article  Google Scholar 

  • Bobenič HA, Bruothová M, Kubíková Z, Ručinský R (2018) Determinants of foreign direct investment inflows: a case of the Visegrad countries. J Intern Stud 11(2):56–69

    Google Scholar 

  • Borhan HB, Subramaniam G (2020) Impact of international trade on economic growth in a developing nation—a case study of Malaysia. SMART J Bus Manage Stud 16(1):90–98

    Article  Google Scholar 

  • Bosire EM (2018) Macro-economic factors and foreign direct investment flows into eastern Africa region. Intern J Econ Financ Issues 8(5):200–209

    Google Scholar 

  • Chanegriha M, Stewart C, Tsoukis C (2020) Testing for causality between FDI and economic growth using heterogeneous panel data. J Intern Trade Econ Dev 29:546–565

    Article  Google Scholar 

  • Dickey DA, Fuller WA (1979) Distribution of the estimators for autoregressive time-series with a unit root. J Am Statist Assoc 74(366a):427–431

    Article  Google Scholar 

  • Dunning JH (1980) Toward an eclectic theory of international production: some empirical tests. J Intern Bus Stud 11(1):9–31

    Article  Google Scholar 

  • Dunning JH, Lundan SM (2008) Multinational enterprises and the global economy. Edward Elgar Publishing, UK

    Google Scholar 

  • Florence OO, David KK, Daniel OI (2017) Determinants of foreign direct investment and its causal effect on economic growth in Nigeria. KCA J Bus Manage 8(1):39–58

    Google Scholar 

  • Gokmenoglu K, Kirikkaleli D, Eren BM (2019) Time and frequency domain causality testing: the causal linkage between FDI and economic risk for the case of Turkey. J Intern Trade Econ Dev 28(6):649–667

    Article  Google Scholar 

  • Goupillaud P, Grossmann A, Morlet J (1984) Cycle-octave and related transforms in seismic signal analysis. Geoexploration 23(1):85–102

    Article  Google Scholar 

  • Islam MS, Sahajalal M (2019) An empirical analysis of macroeconomic indicators as determinants of foreign direct investment (FDI) in Bangladesh 1976–2018. Int. J Sci Res Multidiscip Stud 5:12

    Google Scholar 

  • Kalmaz DB, Kirikkaleli D (2019) Modeling CO2 emissions in an emerging market: empirical finding from ARDL-based bounds and wavelet coherence approaches. Environ Sci Pollut Res 26(5):5210–5220

    Article  Google Scholar 

  • Khan A, Rehman NU (2019) Impact of macroeconomic variables on foreign direct investment in Pakistan: time series analysis for the period (1990–2015). J Soc Sci Humanit 2(1 & 2):32–46

    Google Scholar 

  • Kueh J, Soo XL (2020) Macroeconomic determinants of FDI inflows in Cambodia, Laos, Myanmar and Vietnam: panel data analysis. Thail World Econ 38(1):54–72

    Google Scholar 

  • Kumari R, Sharma AK (2017) Determinants of foreign direct investment in developing countries: a panel data study. Intern J Emerg Mark 5(3):67–81

    Google Scholar 

  • Kwiatkowski D, Phillips PC, Schmidt P, Shin Y (1992) Testing the null hypothesis of stationarity against the alternative of a unit root. J Econometr 54(1–3):159–178

    Article  Google Scholar 

  • Musyoka N, Ocharo KN (2018) Real interest rate, inflation, exchange rate, competitiveness and foreign direct investment in Kenya. Am J Econ 3(1):1–18

    Google Scholar 

  • Narayan PK, Smyth R (2004) Temporal causality and the dynamics of exports, human capital and real income in China. Intern J Appl Econ 1(1):24–45

    Google Scholar 

  • Nyoni T, Bonga WG (2018) What determines economic growth in Nigeria? Dyn Res J (DRJ) J Bus Manage 1(1):37–47

    Google Scholar 

  • Pal D, Mitra SK (2017) Time–frequency contained co-movement of crude oil and world food prices: a wavelet-based analysis. Energy Econ 62:230–239

    Article  Google Scholar 

  • Pesaran MH, Timmermann A (2005) Small sample properties of forecasts from autoregressive models under structural breaks. J Econometr 129(1–2):183–217

    Article  Google Scholar 

  • Pesaran MH, Shin Y, Smith RJ (2001) Bounds testing approaches to the analysis of level relationships. J Appl Econometr 16(3):289–326

    Article  Google Scholar 

  • Phillips PC, Hansen BE (1990) St atistical inference in instrumental variables regression with I (1) processes. Rev Econ Stud 57(1):99–125

    Article  Google Scholar 

  • Stock JH, Watson MW (1993) A simple estimator of cointegrating vectors in higher order integrated systems. Econometr J Econometr Soc 61:783–820

    Article  Google Scholar 

  • Sultana ST (2016) An empirical analysis of macroeconomic determinants of foreign direct investment inflows to India. Productivity 57(3):235–243

    Google Scholar 

  • Torrence C, Compo GP (1998) A practical guide to wavelet analysis. Bull Am Meteor Soc 79(1):61–78

    Article  Google Scholar 

  • UNCTAD (2018). https://unctad.org/en/pages/newsdetails.aspx?OriginalVersionID=2109. Accessed 20 Jun 2020

  • World Bank, (2018). https://data.worldbank.org/country/nigeria. Accessed 2 Jun 2020

  • World Bank (2020). https://data.worldbank.org/country/nigeria. Accessed 2 Jun 2020

  • Zivot E, Andrews DWK (2002) Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. J Bus Econ Statis 20(1):25–44

    Article  Google Scholar 

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Funding

This study received no specific financial support.

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Authors and Affiliations

Authors

Contributions

Conceptualization: TSA and KO. Data curation: TSA. Formal analysis: TSA. Investigation: KO and GDA. Methodology: TSA. Project administration: KO. Resources: GDA. Software: TSA. Supervision: GDA and KO. Validation: TSA. Visualization: TSA and GDA. Roles/writing—original draft: KO and TSA. Writing—review and editing. KO and GDA.

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Correspondence to Tomiwa Sunday Adebayo.

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Adebayo, T.S., Onyibor, K. & Akinsola, G.D. The impact of major macroeconomic variables on foreign direct investment in Nigeria: evidence from a wavelet coherence technique. SN Bus Econ 1, 11 (2021). https://doi.org/10.1007/s43546-020-00018-5

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