Browsing by Author "Kessy, John Francis"
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Item Analysis of drivers and agents of deforestation and forest Degradation in masito forests, Kigoma, Tanzania(2016) Kessy, John Francis; Nsokko, Edwin; Kaswamila, Abiud; Kimaro, FreddyA study to assess the direct and indirect drivers and agents of deforestation and forest degradation was carried out in Masito forests in Kigoma Region. Several methodologies were deployed including review of key literature, focused group discussions, household level interviews and review of “smart phones” database of disturbance incidences in the forests. Results revealed that despite forest protection measures taken by the government and other actors for purposes of REDD+ carbon trade, deforestation and forest degradation are problems that are being experienced in the study area. Evidence of deforestation and degradation were provided through change detection data, forest disturbance incidences and community perception on the drivers of deforestation and degradation. The main drivers of deforestation and degradation were characterized to fall into direct drivers and indirect drivers. The demand for land and forests resources was responsible for a number of direct drivers. Indirect drivers were perceived to entail underlying causes of deforestation and degradation forming a complex interaction of socio- economic, political, cultural and technological variables that cause deforestation and degradation. Characterization of the main agents of deforestation and degradation revealed that human actors in various capacities and functions have served as agents. The assessment of leakage risks revealed that the risk of shifting destructive activities to non-REDD+ project villages was mitigated. In order to address the drivers and sustaining the REDD+, the study recommends the need to address forest tenure; provision of alternatives to the agents of deforestation and degradation, extension support to non-REDD+ villages for capacity building in forest protection; and ensuring that the process of REDD+ piloting is finalized to the level that communities finally sell carbon to get tangible benefits.Item Consumers’ preference on imported and locally made furniture in Dar es Salaam and Arusha, Tanzania(SAGE, 2018) Kumburu, Neema P.; Kessy, John FrancisThis study was designed to assess the consumer’s preference between imported and locally made furniture in Dar es Salaam and Arusha in Tanzania. Primary and secondary data for the study were collected from furniture consumers in the study area. A total of 134 consumers were surveyed. Questionnaires and documentary reviews were used for data collection. Descriptive statistics and binary logistic regression were used in the analysis of data. The result of the study revealed significant differences on the levels of consumers’ preference for furniture products. Imported furniture seems to be far preferred by consumers. It was observed that the major differences in consumers’ preference for furniture were due to quality and design. This study provides valuable implications for local small- scale manufacturers if they want to compete in the globalized market. It is, therefore, recommended that local furniture manufacturers should acquire adequate skills, technology and innovation in order to produce competitive products.Item Factors affecting competitive advantage of sido supported Small scale furniture industries in Dar es salaam and Arusha Regions, Tanzania(2019) Kumburu, Neema P; Kessy, John Francis; Mbwambo, Steven JonathanThis study was designed to assess the factors affecting competitive advantage of SIDO supported small- scale furniture industries in Dar es Salaam and Arusha cities of Tanzania. Primary and secondary data for the study were collected from furniture manufacturers and importers in the study area. A total of 127 manufacturers were surveyed, of which 79 were from Dar es Salaam and 48 from Arusha. Data were collected using questionnaires, focus group discussions and documentary reviews. Both qualitative and quantitative methods were used in the analysis of the data. The findings of the regression analysis tested at p<0.05 showed that age of the firm, initial capital, number of employees, price, location, diversification and networking significantly affected competitiveness of the SIDO supported small scale furniture industries. The recommendations emanating from the study are that the industries should allocate sufficient start-up capital, hire adequate number of employees and ensure effective utilization of employees for improved operational performance of the enterprises as well as ensure effective utilization of networking potentials for resource sharing and market access.