IDEAS home Printed from https://ideas.repec.org/a/ags/apstra/339817.html

A disaggregated analysis of monetary policy effects on the agricultural sector in Nigeria

Author

Listed:
  • Ogbuabor, Jonathan E.
  • Anthony-Orji, Onyinye I.
  • Manasseh, Charles O.
  • Orji, Anthony

Abstract

This study provides a disaggregated analysis of the effects of monetary policy shocks on the agricultural sector in Nigeria from 1981Q1 to 2016Q4. The study utilized the generalized impulse responses and the normalized generalized forecast error variance decompositions from an underlying VAR model, which are order-invariant. The four monetary policy variables used in the study are interbank call rate, monetary policy rate, broad money supply and exchange rate; while the four agricultural sub-sectors investigated are crop production, forestry, fishing and livestock. The study also controlled for the general price level and other economic activities in the overall economy. The findings indicate that the aggregate agricultural sector and its various sub-sectors consistently responded negatively to unanticipated monetary tightening in most of the forecast horizon; while the immediate impact of monetary policy shocks is transmitted to the agricultural sector through the interest rate and money demand (credit) channels. The findings further indicate that apart from these two channels, the roles of monetary policy rate and exchange rate are non-negligible in the long-run. The role of money supply channel in spreading monetary policy shocks to the agricultural sector remained muted all through. The study concludes that the monetary authority should evolve interest rate, credit, and exchange rate policies that will promote the development of the agricultural sector in Nigeria.

Suggested Citation

  • Ogbuabor, Jonathan E. & Anthony-Orji, Onyinye I. & Manasseh, Charles O. & Orji, Anthony, 2020. "A disaggregated analysis of monetary policy effects on the agricultural sector in Nigeria," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 14(3-4), December.
    • Handle: RePEc:ags:apstra:339817
    DOI: 10.22004/ag.econ.339817
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/339817/files/Ogbuabor.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.339817?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
    ---><---

    References listed on IDEAS

    as
    1. Dorothy Nampewo & Ezra Munyambonera & Musa Mayanja Lwanga, 2013. "Sectoral effects of monetary policy in Uganda," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 2(4), pages 1-2.
    2. Jonathan E. Ogbuabor & Anthony Orji & Gladys C. Aneke & Oyun Erdene-Urnukh, 2016. "Measuring the Real and Financial Connectedness of Selected African Economies with the Global Economy," South African Journal of Economics, Economic Society of South Africa, vol. 84(3), pages 364-399, September.
    3. Tasneem Alam & Muhammad Waheed, 2006. "Sectoral Effects of Monetary Policy: Evidence from Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 45(4), pages 1103-1115.
    4. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    5. Jonathan E. Ogbuabor & Cynthia A. Nwosu, 2017. "The Impact of Deposit Money Bank's Agricultural Credit on Agricultural Productivity in Nigeria: Evidence from an Error Correction Model," International Journal of Economics and Financial Issues, Econjournals, vol. 7(2), pages 513-517.
    6. Claudio Raddatz & Roberto Rigobon, 2003. "Monetary Policy and Sectoral Shocks: Did the FED react properly to the High-Tech Crisis?," NBER Working Papers 9835, National Bureau of Economic Research, Inc.
    7. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    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. Johnson, Leroy & Osabuohien, Evans, 2023. "Return and Volatility Connectedness in Foreign Exchange Markets of Sierra Leone," MPRA Paper 118135, University Library of Munich, Germany.
    2. Roudari, Soheil & Ahmadian- Yazdi, Farzaneh & Namazizadeh, Ehsan, 2024. "بررسی سرریز ریسک پویا نامتقارن در بازار فلزات اساسی: شواهدی از مدیریت مواد مصرفی مجتمع صنایع مس شهید باهنر [Examining Asymmetric Dynamic Risk Spillover in the Base Metals Market: Evidence from Material Management at Shahid Bahonar Copper Industrie," MPRA Paper 126957, University Library of Munich, Germany.
    3. Miklesh Yadav & Nandita Mishra & Shruti Ashok, 2023. "Dynamic connectedness of green bond with financial markets of European countries under OECD economies," Economic Change and Restructuring, Springer, vol. 56(1), pages 609-631, February.
    4. Hasan, Mudassar & Arif, Muhammad & Naeem, Muhammad Abubakr & Ngo, Quang-Thanh & Taghizadeh–Hesary, Farhad, 2021. "Time-frequency connectedness between Asian electricity sectors," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 208-224.
    5. Bloch, Harry & Rafiq, Shuddhasattwa & Salim, Ruhul, 2015. "Economic growth with coal, oil and renewable energy consumption in China: Prospects for fuel substitution," Economic Modelling, Elsevier, vol. 44(C), pages 104-115.
    6. Kakran, Shubham & Bajaj, Parminder Kaur & Pandey, Dharen Kumar & Kumar, Ashish, 2025. "Interconnectedness and return spillover among APEC currency exchange rates: A time-frequency analysis," Research in International Business and Finance, Elsevier, vol. 73(PA).
    7. Stilianos Fountas & Dimitra Kontana & Paraskevi Tzika, 2024. "Uncertainty and financial asset return spillovers: are they related? Empirical evidence from three continents," Empirical Economics, Springer, vol. 67(5), pages 1891-1918, November.
    8. Shi, Huai-Long & Zhou, Wei-Xing, 2022. "Factor volatility spillover and its implications on factor premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    9. van Dijk, Dick & Hans Franses, Philip & Peter Boswijk, H., 2007. "Absorption of shocks in nonlinear autoregressive models," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4206-4226, May.
    10. Sehgal, Sanjay & Pandey, Piyush & Diesting, Florent, 2017. "Examining dynamic currency linkages amongst South Asian economies: An empirical study," Research in International Business and Finance, Elsevier, vol. 42(C), pages 173-190.
    11. Su, Tong & Lin, Boqiang, 2024. "Reassessing the information transmission and pricing influence of Shanghai crude oil futures: A time-varying perspective," Energy Economics, Elsevier, vol. 140(C).
    12. Tihana Škrinjarić, 2019. "Time Varying Spillovers between the Online Search Volume and Stock Returns: Case of CESEE Markets," IJFS, MDPI, vol. 7(4), pages 1-30, October.
    13. Claeys, Peter & Vašíček, Bořek, 2014. "Measuring bilateral spillover and testing contagion on sovereign bond markets in Europe," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 151-165.
    14. repec:rza:wpaper:305 is not listed on IDEAS
    15. Juncal Cunado & David Gabauer & Rangan Gupta, 2024. "Realized volatility spillovers between energy and metal markets: a time-varying connectedness approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-17, December.
    16. repec:hum:wpaper:sfb649dp2006-005 is not listed on IDEAS
    17. García, Javier Sánchez & Rambaud, Salvador Cruz, 2023. "Macrofinancial determinants of volatility transmission in a network of European sovereign debt markets," Finance Research Letters, Elsevier, vol. 53(C).
    18. Aysan, Ahmet Faruk & Batten, Jonathan & Gozgor, Giray & Khalfaoui, Rabeh & Nanaeva, Zhamal, 2024. "Metaverse and financial markets: A quantile-time-frequency connectedness analysis," Research in International Business and Finance, Elsevier, vol. 72(PB).
    19. Mert Demirer & Francis X. Diebold & Laura Liu & Kamil Yilmaz, 2018. "Estimating global bank network connectedness," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(1), pages 1-15, January.
    20. Yousaf, Imran & Youssef, Manel & Goodell, John W., 2022. "Quantile connectedness between sentiment and financial markets: Evidence from the S&P 500 twitter sentiment index," International Review of Financial Analysis, Elsevier, vol. 83(C).
    21. Elie Bouri & Mahdi Ghaemi Asl & Sahar Darehshiri & David Gabauer, 2024. "Asymmetric connectedness between conventional and Islamic cryptocurrencies: Evidence from good and bad volatility spillovers," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-26, December.

    More about this item

    Keywords

    ;

    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:ags:apstra:339817. 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: AgEcon Search (email available below). General contact details of provider: http://www.apstract.net/ .

    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.