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Analysis of Relationship between Maize Production and Fertilizer Imports in Malawi: Auto Regressive Distributed Lag (ARDL) Model Approach to Cointegration

Author

Listed:
  • Kumwenda, Ian
  • Chikafa, Scora
  • Kumwenda, Nemon

Abstract

This paper provides an analysis of the relationship between maize production and fertilizer imports and other factors such as fertilizer prices and rainfall. The inorganic fertilizer was liberalized which allowed entry of multinational companies into the country to begin supplying inorganic fertilizer. Smallholder farmers have been cultivating maize crops for a long time, the land lacks organic matter and vital nutrients like Nitrogen, Phosphorus, and Potassium. Understanding the relationship is very important because it can help the government and other stakeholders as to whether the interventions, they are undertaking are achieving intentions including policy changes. The study used the Autoregressive Distributed Lag (ARDL) Model to analyse if there is a relationship between fertilizer imports and maize production in Malawi using time series ranging from 1992 to 2021. The two models are used to represent the relationship between the two types of inorganic fertilizer and maize production in Malawi Some farmers use both inorganic fertilizers in their maize crop whilst others use either Urea or NPK. Hence, by splitting them, it would highlight how each affects maize production. The results that there is a long relationship between maize production and urea imports as depicted by the equation. Urea imports play an important role in maize production. A one percent increase in urea imports leads to a 14.6 percent increase in maize production. However, NPK imports are not significant. The error correction term is highly significant. The speed of adjustment is high with (-1.24033). The model is adjusting at the speed of 124 percent per annum. An increase in land under maize production leads a to 144 percent increase in maize production. This is significant at 5 percent level. Rainfall is very important in maize production. An increase in rainfall increases maize production. An increase in one percent of rainfall increases maize production by 96 percent.

Suggested Citation

  • Kumwenda, Ian & Chikafa, Scora & Kumwenda, Nemon, 2024. "Analysis of Relationship between Maize Production and Fertilizer Imports in Malawi: Auto Regressive Distributed Lag (ARDL) Model Approach to Cointegration," Land, Farm & Agribusiness Management Department 373443, Harper Adams University, Land, Farm & Agribusiness Management Department.
    • Handle: RePEc:ags:haaewp:373443
    DOI: 10.22004/ag.econ.373443
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    References listed on IDEAS

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    1. Zhiying Xu & Zhengfei Guan & T.S. Jayne & Roy Black, 2009. "Factors influencing the profitability of fertilizer use on maize in Zambia," Agricultural Economics, International Association of Agricultural Economists, vol. 40(4), pages 437-446, July.
    2. Andre Croppenstedt & Mulat Demeke & Meloria M. Meschi, 2003. "Technology Adoption in the Presence of Constraints: the Case of Fertilizer Demand in Ethiopia," Review of Development Economics, Wiley Blackwell, vol. 7(1), pages 58-70, February.
    3. Mr. Dhaneshwar Ghura & Mr. Anupam Basu & Mr. Anthony E Calamitsis, 2000. "Promoting Growth in Sub-Saharan Africa: Learning What Works," IMF Economic Issues 2000/003, International Monetary Fund.
    4. 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.
    5. Scheiterle, Lilli & Birner, Regina, 2016. "Comparative advantage and factors affecting maize production in Northern Ghana: A Policy Analysis Matrix Study," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 249277, African Association of Agricultural Economists (AAAE).
    6. Dhaneshwar Ghura & Anupam Basu & Anthony E Calamitsis, 2000. "Promoting Growth in Sub-Saharan Africa; Learning What Works," IMF Economic Issues 23, International Monetary Fund.
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