IDEAS home Printed from https://ideas.repec.org/p/ags/cmpart/334768.html
   My bibliography  Save this paper

The key determinants of food inflation in the Kingdom of Eswatini

Author

Listed:
  • Mndzebele, Mancoba Knowledge

Abstract

It is important to track food inflation from a development perspective as it is indicative of food access for the poor. Discussions on food inflation in Eswatini have gained traction due to its effects on welfare erosion of lower income groups. Eswatini is faced with a problem of periods with high food inflation which hampers food access and affordability for low income groups. Patterns of high food inflation in Eswatini persists yet the drivers of food inflation remain unknown. A thorough understanding of these drivers is the first step towards sound policy intervention related to inflation management. This study drew on literature on food inflation in other countries to identify energy and agricultural prices and inflation dynamics of key importing partners as potential drivers of food inflation. An Autoregressive Distributed Lag model was implemented to determine the key determinants of food inflation in the Kingdom of Eswatini using monthly time series data from January 2009 to January 2020. The GregoryHansen technique was used to test for structural breaks in the series as numerous changes related to climate and political circumstances could have impacted relationships over the long run. The Gregory-Hansen technique facilitated the identification of this which ultimately allowed for more accurate estimation. The study found that all variables considered in the study had a positive and significant effect on Eswatini’s food inflation at 5% confidence level and further unveiled that a 10% change in South African food inflation is associated with a 16.1% increase in Eswatini’s food inflation while a 10% change in global oil prices increases Eswatini’s food inflation by 56.7%. The results also revealed that a 10% change in global agricultural prices is associated with a 17.7% increase in Eswatini’s food inflation. The error correction model was used to determine the magnitude and speed of adjustment of Eswatini’s vii food inflation after a shock to the long run equilibrium. The results from the error correction show that the speed of adjustment for Eswatini’s food inflation shock in the long run relationship is almost instantaneous at 96.6% per month. This suggests that food inflation in Eswatini reflects changes in global oil prices, agricultural prices and inflationary changes in South Africa fully and immediately. The Toda Yamamoto Granger causality test revealed that South African food prices granger causes food prices in Eswatini at 5% confidence interval. Based on these findings, policy interventions focusing on curbing food inflation would include ensuring the efficiency of food production and distribution in Eswatini so that exogenous shocks can be buffered by high level of local production and availability.

Suggested Citation

  • Mndzebele, Mancoba Knowledge, 2021. "The key determinants of food inflation in the Kingdom of Eswatini," Research Theses 334768, Collaborative Masters Program in Agricultural and Applied Economics.
  • Handle: RePEc:ags:cmpart:334768
    DOI: 10.22004/ag.econ.334768
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/334768/files/MSc%20Dissertation_Mancoba.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.334768?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. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    2. Christopher L. Gilbert, 2010. "How to Understand High Food Prices," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(2), pages 398-425, June.
    3. Jun Yang & Huanguang Qiu & Jikun Huang & Scott Rozelle, 2008. "Fighting global food price rises in the developing world: the response of China and its effect on domestic and world markets," Agricultural Economics, International Association of Agricultural Economists, vol. 39(s1), pages 453-464, November.
    4. Kwon, Dae-Heum & Koo, Won W., 2009. "Price Transmission Channels of Energy and Exchange Rate on Food Sector: A Disaggregated Approach based on Stage of Process," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49334, Agricultural and Applied Economics Association.
    5. Sukati, Mphumuzi, 2013. "Cointegration Analysis of Oil Prices and Consumer Price Index in South Africa using STATA Software," MPRA Paper 49797, University Library of Munich, Germany.
    6. Marlene Louw & Ferdi Meyer & Johann Kirsten, 2017. "Vertical price transmission and its inflationary implications in South African food chains," Agrekon, Taylor & Francis Journals, vol. 56(2), pages 110-122, April.
    7. Uwe Hassler & Jürgen Wolters, 2006. "Autoregressive Distributed Lag Models and Cointegration," Springer Books, in: Olaf Hübler & Jachim Frohn (ed.), Modern Econometric Analysis, chapter 5, pages 57-72, Springer.
    8. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    9. Abbas, Syed Kanwar, 2008. "Global Food Crisis & Inflationary Pressures: Short and Medium to Long Term Policy Options," MPRA Paper 9981, University Library of Munich, Germany.
    10. Nyoni, Thabani & Mutongi, Chipo & Nyoni, Munyaradzi & Hamadziripi, Oscar Hapanyengwi, 2019. "Understanding inflation dynamics in the Kingdom of Eswatini: a univariate approach," MPRA Paper 93979, University Library of Munich, Germany.
    11. Boetel, Brenda L. & Liu, Donald J., 2010. "Estimating Structural Changes in the Vertical Price Relationships in U.S. Beef and Pork Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 35(2), pages 1-17, August.
    12. Jarque, Carlos M. & Bera, Anil K., 1980. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals," Economics Letters, Elsevier, vol. 6(3), pages 255-259.
    13. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    14. Sasmal, Joydeb, 2015. "Food price infl ation in India: The growing economy with sluggish agriculture," Journal of Economics, Finance and Administrative Science, Universidad ESAN, vol. 20(38), pages 30-40.
    15. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    16. Ularo, Khonje Makaiko Gonapanyanja, 2010. "Food Inflation In Malawi: Implications For The Economy," Research Theses 117802, Collaborative Masters Program in Agricultural and Applied Economics.
    17. Hapanyengwi, Hamadziripi Oscar & Mutongi, Chipo & Nyoni, Thabani, 2019. "Understanding Inflation Dynamics in the kingdom of Eswantini: A Univariate Approach," MPRA Paper 94560, University Library of Munich, Germany, revised 18 Jun 2019.
    18. Régis Barnichon & Shanaka J. Peiris, 2008. "Sources of Inflation in Sub-Saharan Africa," Journal of African Economies, Centre for the Study of African Economies, vol. 17(5), pages 729-746, November.
    19. Ms. Iyabo Masha & Mr. Leighton S Harris & Mr. Jian-Ye Wang & Ms. Kazuko Shirono, 2007. "The Common Monetary Area in Southern Africa: Shocks, Adjustment, and Policy Challenges," IMF Working Papers 2007/158, International Monetary Fund.
    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. Ebenezer, Appiah Collins & Jatoe, John Baptist D. & Mensa-Bonsu, Akwasi, 2018. "Food Price Sensitivity To Changes In Petroleum Price And Exchange Rate In Ghana: A Cointegration Analysis," 2018 Conference (2nd), August 8-11, Kumasi, Ghana 277791, Ghana Association of Agricultural Economists.
    2. Roberto Martínez-Espiñeira, 2007. "An Estimation of Residential Water Demand Using Co-Integration and Error Correction Techniques," Journal of Applied Economics, Taylor & Francis Journals, vol. 10(1), pages 161-184, May.
    3. Charles G. Renfro, 2009. "The Practice of Econometric Theory," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75571-5, July-Dece.
    4. Sugra Humbatova & Afag Huseyn & Natig Gadim-Oglu Hajiyev, 2023. "Impact of Oil Factor on Investment: The Case of Azerbaijan," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 129-148, March.
    5. Dmitry Burakov, 2016. "Elasticity of Agricultural Prices in Russia: An Empirical Study of Energy and Monetary Channels," International Journal of Energy Economics and Policy, Econjournals, vol. 6(3), pages 551-562.
    6. Xu, Haifeng & Hamori, Shigeyuki, 2012. "Dynamic linkages of stock prices between the BRICs and the United States: Effects of the 2008–09 financial crisis," Journal of Asian Economics, Elsevier, vol. 23(4), pages 344-352.
    7. Titus O. Awokuse, 2003. "Is the export-led growth hypothesis valid for Canada?," Canadian Journal of Economics, Canadian Economics Association, vol. 36(1), pages 126-136, February.
    8. Zheng, Li & Abbasi, Kashif Raza & Salem, Sultan & Irfan, Muhammad & Alvarado, Rafael & Lv, Kangjuan, 2022. "How technological innovation and institutional quality affect sectoral energy consumption in Pakistan? Fresh policy insights from novel econometric approach," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    9. Camgöz, Mevlüt & Topal, Mehmet Hanefi, 2022. "Identifying the asymmetric price dynamics of Islamic equities: Implications for international investors," Research in International Business and Finance, Elsevier, vol. 60(C).
    10. Muhammad Shahbaz & Syed Jawad Hussain Shahzad & Mantu Kumar Mahalik & Perry Sadorsky, 2018. "How strong is the causal relationship between globalization and energy consumption in developed economies? A country-specific time-series and panel analysis," Applied Economics, Taylor & Francis Journals, vol. 50(13), pages 1479-1494, March.
    11. Gerard Bikorimana & Charles Rutikanga & Didier Mwizerwa, 2020. "Linking energy consumption with economic growth: Rwanda as a case study," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2020(2), pages 181-200.
    12. Banu Demirhan, 2016. "Financial Development and Investment Amount Nexus: A Case Study of Turkey," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 6(3), pages 127-134, March.
    13. Bashiri Behmiri, Niaz & Pires Manso, José R., 2012. "Does Portuguese economy support crude oil conservation hypothesis?," Energy Policy, Elsevier, vol. 45(C), pages 628-634.
    14. Jacobson, Tor & Ohlsson, Henry, 1994. "Long-Run Relations between Private and Public Sector Wages in Sweden," Empirical Economics, Springer, vol. 19(3), pages 343-360.
    15. Malik, Zahra & Zaman, Khalid, 2013. "Macroeconomic consequences of terrorism in Pakistan," Journal of Policy Modeling, Elsevier, vol. 35(6), pages 1103-1123.
    16. Perles-Ribes, José Francisco & Ramón-Rodríguez, Ana Belén & Rubia, Antonio & Moreno-Izquierdo, Luis, 2017. "Is the tourism-led growth hypothesis valid after the global economic and financial crisis? The case of Spain 1957–2014," Tourism Management, Elsevier, vol. 61(C), pages 96-109.
    17. Senay ACIKGOZ & Anil AKCAGLAYAN, 2014. "Turkiye’de Cari Islemler Aciginin Surdurulebilirligi," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, vol. 14(1), pages 83-97.
    18. B. Faye & E. Le Fur & S. Prat, 2015. "Dynamics of fine wine and asset prices: evidence from short- and long-run co-movements," Applied Economics, Taylor & Francis Journals, vol. 47(29), pages 3059-3077, June.
    19. Özgür Özaydın* & H. Alper Güzel, 2019. "Oil Consumption and Economic Growth in Turkey: An ARDL Bounds Test Approach in the Presence of Structural Breaks," Business, Management and Economics Research, Academic Research Publishing Group, vol. 5(6), pages 77-85, 06-2019.
    20. Abdul Qayyum, 2000. "Demand for Real Money Balances by the Business Sector: An Econometric Investigation," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 39(4), pages 857-873.

    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:cmpart:334768. 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.agriculturaleconomics.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.