Browsing by Author "Mihayo, Isege Z."

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    Determinants of lake zone forest resources' status: analyzing the impact of implemented policies in Tanzania
    (Institute of Forest Science, 2020) Mihayo, Isege Z.; Peng, Daiyan
    The Lake (Victoria) zone of Tanzania, which has the least forest resources in the country, is a potential economic growth zone in the country. Therefore, this study analyses the impact of implemented forest policies on the status of forest resources in the area, given the unique features. The study identifies the status of forested lands in the area, and then fits binary logistic regression to identify the impact of policies related elements (i.e. type of forest, type of management) on the status; forest area and location (region) are used as control variables. Results show that 63% of the forested land in the area is destructed; main activities being agriculture, residential, firewood, and charcoal burning activities. Logistic results showed natural forests, forests located in Geita region, forests managed by municipal councils are more likely to be destructed; while plantation forests, forests located in Kagera region, privately managed forests are less likely to be destructed. Thus, the study concludes that policies and measures are not enough for the preservation of forest resources in the area; some of the economic activities in the area are occurring at the expenses of the forests; hence recommend more sustainable development plans and incorporating different crossing cutting sectors in the policies
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    Do renewable energies contribute to enhancing environmental quality in Eastern Africa?
    (Springer, 2022) Kombe, Godlisten G.; Mihayo, Isege Z.
    East Africa has enormous renewable energy potential, but only a small portion of it has been exploited, and little is known on its role in improving environmental quality. Thus, this study empirically examines the impact of renewable energy on the environment using ecological footprint (EF; positive indicator) and CO2 emissions (negative indicator) as proxy indicators for environmental quality in a panel of ten East African countries from 1990 to 2015. These indicators were chosen due to their potential impact in the environment. The work used the pooled mean group (PMG) as the main panel estimator to determine the impact while controlling non-renewable energy consumption, GDP per capita, and foreign direct investment (FDI). PMG has been used as it forces the long-run coefficients to be equal across all panel groups. The findings show that in the long run, there is a significant negative relationship between CO2 emissions and renewable energy consumption, as well as a significant positive relationship (with a low impact) between EF and renewable energy consumption, suggesting that renewable energy use enhances the area’s environmental quality. Also, results indicate that non-renewable energy use degrades environmental quality in both metrics, whereas GDP degrades environmental quality through CO2 emissions and improves environmental quality through EF. This requires East African countries to focus a higher emphasis on accessible renewable energy sources to achieve quick and sustainable economic growth and minimize environmental effects. To accomplish this, strategic policies and legislation, as well as the promotion of green technology, are required.
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    Role of fishery and forest resources in local economic performance: evidence from the Lake Zone of Tanzania
    (Canadian Center of Science and Education, 2020) Mihayo, Isege Z.; Peng, Daiyan
    The country’s economic development usually occurs at a local level where interactions between economic elements are highly dense. Even though economic development processes are highly localized; economic growth in the country is due to concentration in growth in a limited number of locations with unique comparative advantages. Lake zone of Tanzania is one of the potential economic areas in the country with unique natural resources (fisheries and forests) features. This study uses cross-sectional data in the lake zone of Tanzania to determine the impact of the fishery resources (which are highly abundant) and forest resources (which are least abundant) on the local councils’ economic performance, admitting other control variables. Multiple linear Regression analysis results indicate that fishery resources negatively affect the councils’ economic performance, with insignificant economic value. Forest resources in the area have a significant positive impact on the economic performance. This paper concludes that despite the abundant fishery resources in the area, they have an insignificant contribution to the local councils’ economic performance. Moreover, the least forest resources have a very low economic impact on local economic performance. Which therefore indicate the needy of reforming available strategies, policies and legal framework accordingly