IDEAS home Printed from https://ideas.repec.org/p/ags/cfcp15/344261.html
   My bibliography  Save this paper

Beyond the threshold: Unraveling the effects of economic policy uncertainty on agricultural growth in Nigeria

Author

Listed:
  • Aye, Goodness C.
  • Kotur, Lydia N.
  • Ayoola, Josephine B.

Abstract

The study investigated the threshold effects of economic policy uncertainty on agricultural growth in Nigeria using annual time series data from 1970 to 2021. Descriptive analysis revealed positive mean, maximum, and minimum values for variables such as adult population (ADULTPOP), environmental degradation (ENVT), exchange rate uncertainty (EXRU), financial deepening (FINDEEP), government expenditure in agriculture uncertainty (GEAU), global economic uncertainty (GEU), inflation (INF), and interest rate uncertainty (INRU). However, agricultural growth (AG) showed a negative minimum value. Most variables exhibited low volatility, except for inflation and interest rate uncertainty, which demonstrated higher volatility. Unit root tests indicated that some variables initially had unit roots in levels but became stationary after first differencing (integrated of order one), while others were stationary in levels (integrated of order zero). The study employed a threshold regression model, revealing a threshold value of 0.034 for global economic uncertainty (GEU). Above this threshold, exchange rate uncertainty (EXRU) and interest rate uncertainty (INRU) significantly impacted on agricultural growth. Non-threshold variables, including adult population, financial deepening, environmental degradation, and inflation, also had significant effects on agricultural growth. The study provides policymakers and stakeholders with valuable insights into the optimal management of economic policy uncertainty for sustainable agricultural development.

Suggested Citation

  • Aye, Goodness C. & Kotur, Lydia N. & Ayoola, Josephine B., 2024. "Beyond the threshold: Unraveling the effects of economic policy uncertainty on agricultural growth in Nigeria," IAAE 2024 Conference, August 2-7, 2024, New Delhi, India 344261, International Association of Agricultural Economists (IAAE).
  • Handle: RePEc:ags:cfcp15:344261
    DOI: 10.22004/ag.econ.344261
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/344261/files/21561.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.344261?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. Zulfiqar Ali WAGAN & Zhang CHEN & Hakimzadi SEELRO & Muhammad Sanaullah SHAH, 2018. "Assessing the effect of monetary policy on agricultural growth and food prices," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(11), pages 499-507.
    2. Haiqiang Chen & Terence Chong & Jushan Bai, 2012. "Theory and Applications of TAR Model with Two Threshold Variables," Econometric Reviews, Taylor & Francis Journals, vol. 31(2), pages 142-170.
    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. Stefan Avdjiev & Zheng Zeng, 2014. "Credit growth, monetary policy and economic activity in a three-regime TVAR model," Applied Economics, Taylor & Francis Journals, vol. 46(24), pages 2936-2951, August.
    2. Chong Terence Tai-Leung & Chen Haiqiang & Wong Tsz-Nga & Yan Isabel Kit-Ming, 2018. "Estimation and inference of threshold regression models with measurement errors," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(2), pages 1-16, April.
    3. Chong, Terence Tai-Leung & Lam, Tau-Hing & Yan, Isabel Kit-Ming, 2012. "Is the Chinese stock market really inefficient?," China Economic Review, Elsevier, vol. 23(1), pages 122-137.
    4. Arturo Lamadrid-Contreras & N.R. Ramírez-Rondán, 2018. "Panel Models with Two Threshold Variables: The Case of Financial Constraints," Working Papers 128, Peruvian Economic Association.
    5. Ni Shuxia & Xia Qiang & Liu Jinshan, 2018. "Bayesian Subset Selection for Two-Threshold Variable Autoregressive Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(4), pages 1-16, September.
    6. Eugene Msizi Buthelezi & Phocenah Nyatanga, 2023. "Threshold of the CAPB That Can Be Attributed to Fiscal Consolidation Episodes in South Africa," Economies, MDPI, vol. 11(6), pages 1-26, May.
    7. Terence T.L. Chong & Isabel K. Yan, 2018. "Forecasting currency crises with threshold models," International Economics, CEPII research center, issue 156, pages 156-174.
    8. Alogoskoufis, George & Malliaris, A.G. & Stengos, Thanasis, 2023. "The scope and methodology of economic and financial asymmetries," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
    9. Seo, Myung Hwan & Shin, Yongcheol, 2016. "Dynamic panels with threshold effect and endogeneity," Journal of Econometrics, Elsevier, vol. 195(2), pages 169-186.
    10. Ma, Tao & Zhou, Zhou & Abdulhai, Baher, 2015. "Nonlinear multivariate time–space threshold vector error correction model for short term traffic state prediction," Transportation Research Part B: Methodological, Elsevier, vol. 76(C), pages 27-47.
    11. Chen, Haiqiang & Li, Yingxing & Lin, Ming & Zhu, Yanli, 2018. "A Regime Shift Model with Nonparametric Switching Mechanism," IRTG 1792 Discussion Papers 2018-020, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    12. Kozelský, Robert & Maitah, Mansoor & Cvik, Eva Daniela & Toth, Daniel & Flegel, Emil & Sindi, Ali & Zelenka, Ondřej, 2024. "Assessing the Effect of Monetary Policy on the Competitiveness of Agricultural Enterprises," Research on World Agricultural Economy, Nan Yang Academy of Sciences Pte Ltd (NASS), vol. 5(2), June.
    13. Xiaobing Zheng & Kun Liang & Qiang Xia & Dabin Zhang, 2022. "Best Subset Selection for Double-Threshold-Variable Autoregressive Moving-Average Models: The Bayesian Approach," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 1175-1201, March.
    14. Haiqiang Chen & Terence Tai Leung Chong & Yingni She, 2014. "A principal component approach to measuring investor sentiment in China," Quantitative Finance, Taylor & Francis Journals, vol. 14(4), pages 573-579, April.
    15. Klingelhöfer, Jan & Sun, Rongrong, 2018. "China's regime-switching monetary policy," Economic Modelling, Elsevier, vol. 68(C), pages 32-40.
    16. İbrahim Bozkurt & M. Veysel Kaya, 2021. "Agricultural production index: International comparison," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(6), pages 236-245.
    17. Zhang, Xinyu & Li, Dong & Tong, Howell, 2023. "On the least squares estimation of multiple-threshold-variable autoregressive models," LSE Research Online Documents on Economics 118377, London School of Economics and Political Science, LSE Library.
    18. Mo Zhou & Liang Peng & Rongmao Zhang, 2021. "Empirical likelihood test for the application of swqmele in fitting an arma‐garch model," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(2), pages 222-239, March.
    19. repec:wyi:journl:002214 is not listed on IDEAS
    20. Chong, Terence Tai Leung & Yan, Isabel K., 2014. "Estimating and Testing Threshold Regression Models with Multiple Threshold Variables," MPRA Paper 54732, University Library of Munich, Germany.
    21. Apergis, Nicholas & Eleftheriou, Sofia, 2016. "Gold returns: Do business cycle asymmetries matter? Evidence from an international country sample," Economic Modelling, Elsevier, vol. 57(C), pages 164-170.

    More about this item

    Keywords

    Agricultural and Food Policy; Risk and Uncertainty;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:cfcp15:344261. 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://iaae-agecon.org/ .

    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.