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Response of Agriculture Production to Change of Foreign Direct Investment and Public Agriculture Expenditure in South Africa: A Monte Carlo Simulation Analysis

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Listed:
  • William Djamfa Mbiakop

    (School of Economic Sciences, North West University, South Africa,)

  • Hlalefang Khobai

    (School of Economics, University of Johannesburg, South Africa,)

  • Djomo Choumbou Raoul Fani

    (Department of Agricultural Economics and Agribusiness, University of Buea, Cameroon.)

Abstract

The rationale of this paper was to investigate the response of agriculture production to the simultaneous shock of foreign direct investment and public agricultural spending in South Africa during 1991-2019. Data were collected from secondary sources and analyzed using Monte Carlo simulation. Results revealed that agriculture production is maximized at 1,73% if Foreign direct investment inflows, agricultural credit, and the number of employees increase by 10% while public spending is decreased by 10%. Hence, it is recommended that policymakers should combine FDI inflows in agriculture, and agricultural credit in a complementary manner, with emphasis to attract more extensive farm workers to ensure the sustainability of production in the agriculture sector in South Africa. This paper contributes to enhance agriculture sector by using the best combination of input in agriculture in order to maximize production.

Suggested Citation

  • William Djamfa Mbiakop & Hlalefang Khobai & Djomo Choumbou Raoul Fani, 2023. "Response of Agriculture Production to Change of Foreign Direct Investment and Public Agriculture Expenditure in South Africa: A Monte Carlo Simulation Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 13(6), pages 1-7, November.
    • Handle: RePEc:eco:journ1:2023-06-1
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    References listed on IDEAS

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    More about this item

    Keywords

    Foreign Direct Investment; Public Agricultural Spending; Agriculture Production; Monte Carlo Simulation; South Africa;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications

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