IDEAS home Printed from https://ideas.repec.org/a/bjc/journl/v7y2020i6p48-57.html
   My bibliography  Save this article

Climate Change and Performance of the Agricultural Sector in Nigeria: A Disaggregated Approach

Author

Listed:
  • Ibeinmo Friday Cookey

    (Department of Economics. Faculty of Social and Management Sciences, University of Africa, Toru- Orua, Bayelsa State, Nigeria)

  • Donny Sigah Ayibazuomuno

    (Department of Economics. Faculty of Social and Management Sciences, University of Africa, Toru- Orua, Bayelsa State, Nigeria)

Abstract

The paper investigated the effect of climate change on agricultural sector performance in Nigeria between 1981 and 2018. Agricultural sector output was disaggregated into crop, livestock, forestry, and fishery. The selected climate change variables are temperature, rainfall, and greenhouse gas emission. Data were collected from the CBN Statistical Bulletin and the Climate Change Knowledge Portal published by the World Bank. The pre-estimation (unit root and bond co integration) tests revealed the time series are integrated of order 0 and 1 and that a long run relationship only exists among the selected variables in the crop and fishery output models. The study found out that, while temperature had negative impact on crop and fishery production, it had positive results on livestock and forestry production. Secondly, while rainfall had positive results on crop and fishery production, it was found to have negative impact on livestock output. Food security is threatened by climate change in Nigeria. Hence, ministries and agencies of the government must work to achieve some remarkable feat in reduction of climate change in Nigeria. Specifically, government active participation in the crusade to save the environment by policies formulation and affirmative action by supporting agencies like Nigeria Meteorological Agencies, NEMA, and National Orientation agency in their drive for safer environment is highly recommended.

Suggested Citation

  • Ibeinmo Friday Cookey & Donny Sigah Ayibazuomuno, 2020. "Climate Change and Performance of the Agricultural Sector in Nigeria: A Disaggregated Approach," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 7(6), pages 48-57, June.
    • Handle: RePEc:bjc:journl:v:7:y:2020:i:6:p:48-57
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-7-issue-6/48-57.pdf
    Download Restriction: no
    File URL: https://www.rsisinternational.org/virtual-library/papers/climate-change-and-performance-of-the-agricultural-sector-in-nigeria-a-disaggregated-approach/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    2. P.B. Eregha & J.S. Babatolu & R.T. Akinnubi, 2014. "Climate Change and Crop Production in Nigeria: An Error Correction Modelling Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 4(2), pages 297-311.
    3. Paresh Kumar Narayan, 2005. "The saving and investment nexus for China: evidence from cointegration tests," Applied Economics, Taylor & Francis Journals, vol. 37(17), pages 1979-1990.
    4. Nin, Alejandro & Ehui, Simeon & Benin, Samuel, 2007. "Livestock Productivity in Developing Countries: An Assessment," Handbook of Agricultural Economics, in: Robert Evenson & Prabhu Pingali (ed.), Handbook of Agricultural Economics, edition 1, volume 3, chapter 47, pages 2461-2532, Elsevier.
    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. Karasoy, Alper, 2022. "Is innovative technology a solution to Japan's long-run energy insecurity? Dynamic evidence from the linear and nonlinear methods," Technology in Society, Elsevier, vol. 70(C).
    2. Shahbaz, Muhammad & Khan, Saleheen & Tahir, Mohammad Iqbal, 2013. "The dynamic links between energy consumption, economic growth, financial development and trade in China: Fresh evidence from multivariate framework analysis," Energy Economics, Elsevier, vol. 40(C), pages 8-21.
    3. Soumen Rej & Barnali Nag & Md. Emran Hossain, 2022. "Can Renewable Energy and Export Help in Reducing Ecological Footprint of India? Empirical Evidence from Augmented ARDL Co-Integration and Dynamic ARDL Simulations," Sustainability, MDPI, vol. 14(23), pages 1-21, November.
    4. Islam, Faridul & Shahbaz , Muhammad & Butt, Muhammad Sabihuddin, 2013. "Is There an Environmental Kuznets Curve for Bangladesh? Evidence from ARDL Bounds Testing Approach," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 36(4), pages 1-23, December.
    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. Noraida, A.W. & Abdul-Rahim, A.S. & Othman, Mohd, 2017. "The Impact of Sustainable Forest Management (SFM) Practices on Primary Timber-Based Production in Peninsular Malaysia," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 51(2), pages 143-154.
    7. Georgios Bertsatos & Plutarchos Sakellaris & Mike G. Tsionas, 2022. "Extensions of the Pesaran, Shin and Smith (2001) bounds testing procedure," Empirical Economics, Springer, vol. 62(2), pages 605-634, February.
    8. Naseem, N.A.M & Tan, Hui-Boon & Hamizah, M.S, 2008. "Exchange Rate Misalignment, Volatility and Import Flows in Malaysia," MPRA Paper 41571, University Library of Munich, Germany.
    9. Shahbaz, Muhammad & Song, Malin & Ahmad, Shabbir & Vo, Xuan Vinh, 2022. "Does economic growth stimulate energy consumption? The role of human capital and R&D expenditures in China," Energy Economics, Elsevier, vol. 105(C).
    10. Sholih Nugroho Hadi & Rebecca H. Chung, 2022. "Estimation of Demand for Beef Imports in Indonesia: An Autoregressive Distributed Lag (ARDL) Approach," Agriculture, MDPI, vol. 12(8), pages 1-12, August.
    11. Petar Peshev & Statty Stattev & Kristina Stefanova & Meglena Lazarova, 2019. "Financial Wealth Inequality Drivers in a Small EU Member Country: An Example from Bulgaria during the Period 2005-2017," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 41-72.
    12. BAHMANI-OSKOOEE, Mohsen & Fariditavana, Hadiseh, 2016. "How Sensitive are the U.S. Inpayments and Outpayments to Exchange Rate Changes: An Asymmetry Analysis," MPRA Paper 81829, University Library of Munich, Germany, revised 06 Jan 2017.
    13. Md. Saiful Islam & Saleh Saud Alsaif & Talal Alsaif, 2022. "Trade Openness, Government Consumption, and Economic Growth Nexus in Saudi Arabia: ARDL Cointegration Approach," SAGE Open, , vol. 12(2), pages 21582440221, May.
    14. Muhammad Shafiullah & Ravinthirakumaran Navaratnam, 2016. "Do Bangladesh and Sri Lanka Enjoy Export-Led Growth? A Comparison of Two Small South Asian Economies," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 17(1), pages 114-132, March.
    15. Smyth, Russell & Narayan, Paresh Kumar, 2015. "Applied econometrics and implications for energy economics research," Energy Economics, Elsevier, vol. 50(C), pages 351-358.
    16. Verónica Cañal-Fernández & Julio Tascón Fernández, 2018. "The long run impact of foreign direct investment, exports, imports and GDP: evidence for Spain from an ARDL approach," Working Papers 0128, European Historical Economics Society (EHES).
    17. Ziramba, Emmanuel, 2008. "The demand for residential electricity in South Africa," Energy Policy, Elsevier, vol. 36(9), pages 3460-3466, September.
    18. Ghosh, Sajal, 2010. "High speed diesel consumption and economic growth in India," Energy, Elsevier, vol. 35(4), pages 1794-1798.
    19. Muhammad Ahad, 2016. "Nexus between Income Inequality, Crime, Inflation and Poverty: NewEvidence fromStructural Breaksfor Pakistan," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 4(3), pages 133-145, March.
    20. Yongming Huang & Muhammed Ashiq Villanthenkodath & Mohammad Haseeb, 2023. "The nexus between eco‐friendly technology and environmental degradation in India: Does the N or inverted N‐shape load capacity curve(LCC) hypothesis hold?," Natural Resources Forum, Blackwell Publishing, vol. 47(2), pages 276-297, May.

    More about this item

    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:bjc:journl:v:7:y:2020:i:6:p:48-57. 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: Dr. Renu Malsaria (email available below). General contact details of provider: https://rsisinternational.org/journals/ijrsi/ .

    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.