Browsing by Author "Gabagambi, D. M."

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Assessment of operational aspects of the input supply chain under national agriculture input voucher scheme (NAIVS) in Tanzania
(Academic Journals, 2014) Aloyce, G. M.; Gabagambi, D. M.; Hella, J. P.
This study examines the operational aspects of the National Agriculture Input Voucher Scheme in Tanzania from 2009/2010 to 2010/2011 based on secondary and primary data. Primary data were collected from a random sample of 300 households in four regions namely: Rukwa, Mbeya, Morogoro and Shinyanga. Secondary data were collected from the Ministry of Agriculture Food Security and Cooperatives (MAFC), Agro dealers and Local Government Authorities. Results indicate that 88% of farmers reported delayed subsidized inputs significant at p = 0.05. The inputs become available during planting season when most of the household food stocks and income is exhausted and this makes top up price unaffordable. It was also observed that the top up price is more than stipulated cost sharing of 50% between farmers and the government. Other pitfalls reported in the system include input adulteration and violation of NAIVS guidelines for input distribution. It is recommended that inputs and crop calenders be established that would ensure inputs arrived to beneficiaries ahead of the planting season In addition, efficient monitoring and evaluation system should be put in place to minimize inefficiency emanating from violation of NAIVS guidelines.
National agricultural input voucher scheme impact on productivity and food security of smallholder farmers in Tanzania
(Journal of Economics and Sustainable Development, 2014) Aloyce, G. M.; Gabagambi, D. M.; Hella, J. P.
Tanzania Government introduced National Agriculture Input Voucher Scheme (NAIVS) in 2008/2009 to overcome the limitations of the previous subsidy programs. This would increase productivity and food security contributing to poverty reduction. This paper examines the voucher access impact on productivity and food security. Cross section data were collected from a random sample of 300 farmers in a survey using a semi structured questionnaire. Two stages least square (2SLS) regression was used to estimate the impact of voucher access on agricultural productivity and binary logistic model for food insecurity. Empirical results shows that farmers with access to input subsidy vouchers had higher agricultural productivity significant at P=0.00. Social economic variables such as age, education, land size, borrowing possibility and access to extension revealed positive contribution to aggregate agricultural productivity. Considering food security, farmers with access to voucher were less food insecure significant at P=0.00. Also access to village was found to decreases food insecurity significanly. Contrarily, unpredictable weather increased food insecurity significant at P=0.01. These findings implies positive contribution of voucher program in poverty reduction. However, sustainable agricultural productivity and food security requires improved social services, better crop management and mitigation of unpredictable weather.