Financial sector and manufacturing sector performance: evidence from Nigeria

  • Received February 20, 2018;
    Accepted May 24, 2018;
    Published July 6, 2018
  • Author(s)
    Abiola John Asaleye
    ORCID ,
    Joseph Ibrahim Adama
    ORCID , Joseph Olufemi Ogunjobi
  • DOI
    http://dx.doi.org/10.21511/imfi.15(3).2018.03
  • Article Info
    Volume 15 2018, Issue #3, pp. 35-48
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Nigerian economy depends on oil as the major source of revenue, failure to diversify the revenue base has raised questions about its sustainability and implication on the economy. This study uses market capitalization, broad money stock, credit to private sector, prime interest rate and deposit liability as proxies for the financial sector, while output in the manufacturing sector and manufacturing employment are used as proxies for manufacturing performance. The study examines the causal effects, shock effect and long-run impact using Granger Non-Causality, Vector Error Correction Model, and Dynamic Ordinary Least Square method, respectively. The results showed unidirectional causality, confirming the hypothesis of the ‘supply-leading view’ and ‘demand-following view’ except for market capitalization and output in the manufacturing sector, where independence was observed. The variance decomposition shows that the forecast error shock of credit to private sector and prime interest rate show more variations in manufacturing sector performance than other financial indicators. The long-run result using output in manufacturing sector as dependent variable shows a positive significant relationship with other financial sector indicators, except for broad money stock and deposit liability. This study recommended credit channel for transmission of monetary policy using interest rate to improve the performance of manufacturing sector, among others.

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    • Table 1. Long-run relationship using MGDP as dependent variable
    • Table 2. Long run-relationship using MEMP as dependent variable
    • Table 3. Causality result
    • Table 4. Variance decomposition of FCP
    • Table 5. Variance decomposition of FMI
    • Table A1. Summary of the ADF unit root test of the series
    • Table A2. Summary of PP unit root test of the series
    • Table A3. Variance decomposition of FDL
    • Table A4. Variance decomposition of MCP
    • Table A5. Variance decomposition of FPI
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