Browsing by Author "Kija, Hamza"

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Economic valuation of auctioned tourist hunting blocks in Tanzania
(Scientific Research Publishing, 2023) Kadigi, Reuben M. J.; Nkuwi, Imani R.; Ligate, Fredrick A.; Kija, Hamza; Musamba, Emmanuel B.
Economic valuation of ecosystems is increasingly being recognized as an important exercise to inform sustainable utilization and conservation of natural assets. It helps in planning and establishing fair profit margins that accrue either directly or indirectly from the consumptive and non-consumptive uses of ecosystem goods and services. This paper is based on a study which estimated the economic values of tourist hunting blocks (HBs) in Tanzania using the Analytic Multicriteria Valuation Method (AMUVAM). The study used a sample size of 12 out of 24 vacant hunting blocks which were to be auctioned to potential hunting companies in December 2022. The economic values of HBs were estimated using the time horizon of 10 years (the mean tenure for winning company). The results show that the economic values ranged from USD 6,215,588 to USD 653,470,695 per hunting block and the Existence Value (EV) constituted about 19% of the Total Economic Value (TEV). EV ranged from USD 632,210 to USD 125,147,285. The study underscores the need for decisions to allocate ecosystems, such as HBs, to both direct and indirect uses, to be guided by a though understanding of their values. We further recommend building the capacity of staff charged with the role of managing and allocating uses of these ecosystems to enable them undertake economic valuation of ecosystems using both simple and more robust analytical tools, such as the GIS, relational databases, and worldwide websites based tools, like InVEST (Integrated Valuation of Environmental Services and Tradeoffs), ARIES (Artificial Intelligence for Ecosystem Services), and Co$ting Nature.
Total economic values of tourist hunting blocks in Tanzania
(BT International, 2023) Kadigi, Reuben M. J.; Nkuwi, Imani R.; Ligate, Fredrick A.; Kija, Hamza; Musamba, Emmanuel B.
This chapter is based on the findings of a study that was conducted in 12 tourist hunting blocks (HBs) in Tanzania. The aim of the study was to evaluate the total economic values (TEV) of the HBs to inform the decision of auctioning to potential hunting companies and sustainable utilization and conservation of the blocks. For each of the 12 HBs, the study estimated the TEV and its five individual components namely; the direct use values (DUV), indirect use values (IUV), option/quasi-option values (OV), existence values, as well as, the bequest values (BV). The values were estimated using the Analytic Multicriteria Valuation Method (AMUVAM). The TEV and its components were estimated using a time horizon of 10 years (the mean tenure for a winning hunting company). The results show that the average TEV of HBs was USD 93,981,422 with the minimum and maximum TEV amounting to USD 6,215,588 to USD 653,470,695 per hunting block respectively. Of the five components of TEV, the bequest values (BV) constituted the largest proportion (about 50% of TEV), followed by the existence values (EV) (19%), option/quasi-option values (OV) (12%), and indirect use values (IUV) (10%). The direct use values or DUV (i.e. the values of hunting and photographic tourism) constituted only 1% of TEV. The EV of HBs ranged from USD 632,210 to the maximum of USD 125,147,285 and the average was USD 17,625,305. The cultural heritage values (CHV) constituted the largest component of EV (about 50%), followed by the aesthetic enjoyment values (AEV) (27%), and biodiversity conservation values (BDV) (23%). The study emphasises the importance of using a thorough understanding of human values to inform decisions about how to devote ecosystems, like HBs, to both direct and indirect purposes. We also advocate enhancing the skills of the personnel responsible for managing and allocating the use of these ecosystems so they can conduct economic assessments of ecosystems using both basic and sophisticated analytical tools, such as geographic information systems (GIS), relational databases, and globally accessible websites-based tools like InVEST (Integrated Valuation of Environmental Services and Tradeoffs), ARIES (Artificial Intelligence for Ecosystem Services), and Costing Nature.