Forecasting yields, prices and net returns for main cereal crops in Tanzania as probability distributions: A multivariate empirical (MVE) approach. (April 2020)

• Record Type: Journal Article
• Authors: Kadigi, Ibrahim L.; Richardson, James W.; Mutabazi, Khamaldin D.; Philip, Damas; Bizimana, Jean-Claude; Mourice, Sixbert K.; Waized, Betty
• Is Part Of: Agricultural systems. Volume 180(2020)
• Publication Date: 2020-04
• Subjects: Cereal crops -- MVE probability distribution -- Stochastic simulation -- Semi-arid area -- Sub-humid area -- Simetar; Agricultural systems -- Periodicals; Agriculture -- Environmental aspects -- Periodicals; 338.16
• DOI: 10.1016/j.agsy.2019.102693
• Languages: English
• ISSNs: 0308-521X

Abstract

Highlights: We developed a probabilistic simulation model to simulate the potential viability of major cereal crops in Tanzania. The risk facing profitability of cereals in semi-arid and sub-humid agro-ecological zones is included in the analysis. We simulated the feasibility of maize, sorghum and rice crop sub-sectors in the next seven years through 2025. The result in semi-arid indicates a higher probability of success for all crops, with rice showing high variability. Sub-humid presented a high probability of success for all cereals except maize. Abstract: Maize ( Zea mays L. ), sorghum ( Sorghum bicolor L. Moench) and rice ( Oryza sativa ) are essential staple crops to the livelihoods of many Tanzanians. But the future productivity of these crops is highly uncertain due to many factors including overdependence on rain-fed, poor agricultural practices and climate change and variability. Despite the multiple risks and constraints, it is vital to highlight the pathways of cereal production in the country. Understanding the pathways of cereals helps to inform policymakers, so they can make better decisions to improve the viability of the sector and its potential to increase food production and income for the majority population. In this study, we employ a Monte Carlo simulation approach to develop a multivariate empirical (MVE) distribution model to simulate stochastic variables for main cereal crops in Tanzania. Eleven years (2008–2018) of yields and prices data for maize, sorghum and rice were used in the model to simulate and forecast yields and prices in Dodoma and Morogoro regions of Tanzania for a seven-year period, from 2019 to 2025. Dodoma and Morogoro regions represent semi-arid and sub-humid agro-ecological zones, respectively. The simulated yields and prices were used with total costs and total area harvested for each crop to calculate the probable net present value (NPV) for each agro-ecological zone. The results on crop yield show a slightly increasing trend for all three crops in Dodoma region. Likewise, rice yield is expected to marginally increase in Morogoro with a decreasing trend for maize and sorghum, meanwhile, the prices for the three crops all are projected to increase for the two regions. Generally, the results on economic feasibility in terms of NPV revealed a high probability of success for all the crops in Dodoma despite a higher relative risk for rice. The results in Morogoro presented a high probability of success for rice and sorghum with maize indicating the highest relative risk, and a 2.41% probability of negative NPV. This study helps to better understand the outlook of the main cereal crop sub-sectors in two agro-ecological zones of Tanzania over the next seven years. With high dependence on rain-fed agriculture, production of main cereals in Tanzania are likely to face a high degree of risk and uncertainty threatening livelihoods, incomes and food availability to the poor households.