Browsing by Author "Kazuzuru, Benedicto"

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Barriers to adoption of sustainable agriculture practices among farmers in Tanzania, case study of Mbarali district
(World Wide Journal of Multidiscip linary Research and Development, 2018) Msemo, Emanuel; Sayi, Soleji; Kazuzuru, Benedicto
Current conventional agriculture systems of production lead to environmental degradation, economic problems, and even social problems. Despite having support from change agents, farm organizations, conservation organizations, or environmental groups, Commercial firms or dealerships, farmers in Tanzania are seldom adopting sustainable agriculture practices. This study was set to examine social economic factors influencing/hindering a farmer’s adoption of sustainable agriculture in Mbarali district of Mbeya region in Tanzania. A binary logistic regression model was used to analyze such factors. It was established that the closer the farmer is from town, a farmer having training in agriculture, a farmer having an off farm income and a farmer having a huge farm are having positive influence on a farmer adopting sustainable agriculture. On contrary, a farmer being young does not motivate him to adopt sustainable agriculture. Nevertheless the finding on a farmer’s age still needs further investigation as some literature suggests this not to be the case. It is therefore recommended to the government and other stakeholders to encourage farmers to have off farm incomes by providing credits and market access so as to motivate sustainable agriculture.
Determinants of inbound tourism demand in Tanzania.
(Sokoine University of Agriculture, 2013-05) Kazuzuru, Benedicto
The study investigates the determinants of inbound tourism demand both at macro and micro levels. At macro level the study investigates the determinants of the number of tourist arrivals, while at micro level the study investigates the determinants of the per capita expenditure of tourists, their length of stay and their choice of a package tour. In achieving the first objective, panel data regression analysis was employed using the number of arrivals obtained from the Ministry of Tourism and Natural Resources (1995-2007) as well as a number of covariates from different sources. Regarding the determinants of tourists’ per capita expenditure, an OLS was applied on a cross-section of tourists surveyed in the years 2001, 2007 and 2008. As for the length of stay, a survival analysis was employed, whereas for the choice of a package tour a binary logistic regression was used, in each case using the cross-section data of the years 2001, 2007 and 2008. Among the key findings is that non price factors (such as the country’s economic development) are more influential than price factors in attracting tourists to Tanzania. Trip-related characteristics of the tourists such as purpose of visit and the number in travel party were found to be the most influential variables in explaining tourists’ daily spending, length of stay and choice of package tour. To promote the number of arrivals it is implied that the government should invest more in the non-price factors such as infrastructure whereas to enhance micro demand, promotion organs and other stakeholders should attune their marketing strategies more to trip-related characteristics of the tourists than to other factors.
The potential for rainwater harvesting
(Sokoine University of Agriculture, 2004) Kazuzuru, Benedicto
Rainwater harvest has become one of the strategies by the Tanzanian government in fighting the persistent drought in the country. The government awareness of the importance and use of the rainwater harvest has been facilitated by the joint team of experts from the Sokoine University of Agriculture and the University of Newcastle working to develop a model of the rainwater harvest (RWH) process as an aid to identifying best-bet options The joint team of experts from the two universities has developed a computer program to support their work on rainwater harvest. This is called PARCHED-THIRST, which is an acronym for, Predicting Arable Resource Capture in Hostile Environments During The Harvesting of Incident Rainfall in Semi-arid Tropics). Among its key functions, PARCHED THIRST simulates agrometeorological variables for use as inputs in the simulation of crop growth. This project assesses the simulation of climatic variables,rainfall and temperature in particular. The project looks at the, flexibility of the PT software and the methodology used in the simulation. The data used for analysis is from Arusha (1970-2000) in Tanzania, which has been supplied within the software. This site has longest records of climatic data among the sites whose data is supplied within the software. An exploration of the data indicates that, the PT models the means (monthly, weekly, yearly) effectively but underestimate the spread of the data. The analysis of the rainfall data indicates that higher order Markov chains are needed at the site in Tanzania as this leads to an improvement in modelling the spread of the data. For the temperature data, the assumption of first order autoregressive process was found to be valid, but the assumed stationerity of the correlations did not hold. The flexibility of the PT software has generally been found to be good, following updates by the PT team at Sokoine University over the last three years. However the software needs to be further modified to suit the varied needs of its intended customers.