IDEAS home Printed from https://ideas.repec.org/a/ags/ajosrd/342408.html
   My bibliography  Save this article

Assessing the determinants of agricultural productivity in Somalia: An application of an ARDL model

Author

Listed:
  • Samatar, Elmi Hassan

Abstract

This study delves into the factors that boost agricultural productivity while taking five macroeconomic variables into account. The investigated variables are agricultural productivity, which is used as the dependent variable, while employment in agriculture, gross capital formation, arable land, and rainfall are the independent variables. Employing an autoregressive distributed lags (ARDL) model, this paper examines the determinants of agricultural productivity in Somalia from 1991 to 2020. The cointegration between the model’s variables was verified using a bounds-testing approach to cointegration. Employment in agriculture was found to have both a short-run and long-run positive impact on agricultural productivity. Similarly, it was discovered that both gross capital formation and the availability of arable land had a favorable influence on agricultural productivity in the short and long run. Additionally, the study indicated a positive short-run and long-run correlation between rainfall and agricultural productivity, although this correlation is statistically insignificant at a five percent level. In the long run, the amount of available arable land has a positive impact on agricultural productivity. However, in the short run, this determinant has the opposite effect. Based on the results, the study advises the government, policymakers, and other concerned authorities to prioritize technological innovation and climate-smart agricultural systems to boost sector productivity.

Suggested Citation

  • Samatar, Elmi Hassan, 2023. "Assessing the determinants of agricultural productivity in Somalia: An application of an ARDL model," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society (AESS), vol. 13(03), January.
    • Handle: RePEc:ags:ajosrd:342408
    DOI: 10.22004/ag.econ.342408
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/342408/files/Assessing%20the%20determinants%20of%20agricultural%20productivity%20in%20Somalia%20An%20application%20of%20an%20ARDL%20model.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.342408?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. Gengjie Jia & Xue Zhong & Hae Kyung Im & Nathan Schoettler & Milton Pividori & D. Kyle Hogarth & Anne I. Sperling & Steven R. White & Edward T. Naureckas & Christopher S. Lyttle & Chikashi Terao & Yoi, 2022. "Discerning asthma endotypes through comorbidity mapping," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    2. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    3. Mehmood Kakar & Adiqa Kiani & Asia Baig, 2016. "Determinants of Agricultural Productivity: Empirical Evidence from Pakistan9apos9s Economy," Global Economics Review, Humanity Only, vol. 1(1), pages 1-12, December.
    4. Fabian Peisker & Maurice Halder & James Nagai & Susanne Ziegler & Nadine Kaesler & Konrad Hoeft & Ronghui Li & Eric M. J. Bindels & Christoph Kuppe & Julia Moellmann & Michael Lehrke & Christian Stopp, 2022. "Mapping the cardiac vascular niche in heart failure," Nature Communications, Nature, vol. 13(1), pages 1-20, December.
    5. Pesaran, M.H. & Shin, Y., 1995. "An Autoregressive Distributed Lag Modelling Approach to Cointegration Analysis," Cambridge Working Papers in Economics 9514, Faculty of Economics, University of Cambridge.
    6. Pesaran, M. H. & Shin, Y. & Smith, R. J., 1996. "Testing for the 'Existence of a Long-run Relationship'," Cambridge Working Papers in Economics 9622, Faculty of Economics, University of Cambridge.
    7. Francis Andrianarison & Cyrille Bergaly Kamdem & Blaise Che Kameni, 2022. "Factors enhancing agricultural productivity under innovation technology: Insights from Cameroon," African Journal of Science, Technology, Innovation and Development, Taylor & Francis Journals, vol. 14(5), pages 1173-1183, July.
    8. Treakle, H. Charles, 1971. "The Agricultural Economy of Somalia," Miscellaneous Publications 316331, United States Department of Agriculture, Economic Research Service.
    9. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    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. Dinda, Soumyananda, 2008. "Factors Determining FDI to Nigeria: An Empirical Investigation," MPRA Paper 28097, University Library of Munich, Germany, revised Nov 2010.
    2. Chien-Chung Nieh & Yu-Shan Wang, 2005. "ARDL Approach to the Exchange Rate Overshooting in Taiwan," Review of Quantitative Finance and Accounting, Springer, vol. 25(1), pages 55-71, August.
    3. Marashdeh, Hazem, 2005. "Stock Market Integration in the MENA Region: An Application of the ARDL Bounds Testing Approach," Economics Working Papers wp05-27, School of Economics, University of Wollongong, NSW, Australia.
    4. Bahmani-Oskooee, Mohsen, 2001. "How stable is M2 money demand function in Japan?," Japan and the World Economy, Elsevier, vol. 13(4), pages 455-461, December.
    5. 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.
    6. Cagri Sarikaya, 2004. "Export Dynamics in Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 4(2), pages 41-64.
    7. Sushil Kumar Haldar, 2009. "Economic Growth in India Revisited," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 10(1), pages 105-126, January.
    8. Sadaf Majeed & Syed Faizan Iftikhar & Zeeshan Atiq, 2019. "Modeling the impact of banking sector credit on growth performance: An empirical evidence of credit to household and enterprise in Pakistan," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 6(02), pages 1-17, June.
    9. Imimole Benedict, 2014. "An Examination of the Stability of Narrow Money Demand Function in Nigeria," Journal of Empirical Economics, Research Academy of Social Sciences, vol. 3(4), pages 252-260.
    10. Sulaiman, Saidu & Masih, Mansur, 2017. "Is liberalizing finance the game in town for Nigeria ?," MPRA Paper 95569, University Library of Munich, Germany.
    11. Matallah, Siham & Boudaoud, Souhila & Matallah, Amal & Ferhaoui, Mustapha, 2023. "The role of fossil fuel subsidies in preventing a jump-start on the transition to renewable energy: Empirical evidence from Algeria," Resources Policy, Elsevier, vol. 86(PB).
    12. Johannes Fedderke & Yang Liu, 2018. "Inflation in South Africa: An Assessment of Alternative Inflation Models," South African Journal of Economics, Economic Society of South Africa, vol. 86(2), pages 197-230, June.
    13. Cuthbertson, Keith, 1996. "The Expectations Hypothesis of the Term Structure: The UK Interbank Market," Economic Journal, Royal Economic Society, vol. 106(436), pages 578-592, May.
    14. Narayan, Paresh Kumar & Narayan, Seema, 2005. "Estimating income and price elasticities of imports for Fiji in a cointegration framework," Economic Modelling, Elsevier, vol. 22(3), pages 423-438, May.

    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:ajosrd:342408. 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: https://edirc.repec.org/data/aesstea.html .

    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.