Investment Planning and Decision-Making among Individual Investors in Emerging Markets

Christina Mwakabumbe — 2024-06-30

Individuals evaluating investment options typically consider objectives, risks, and expected returns. In Tanzania, stock market investment is minimal, with only about 1% of the population involved. This study investigates the factors influencing investment decisions in Tanzania, focusing on motivations and decision-making processes related to share ownership. Using a cross-sectional design, data were collected via questionnaires from 100 shareholders and 100 non-shareholders in Dar es Salaam, and analysed using descriptive statistics and Binary Logistic Regression. Results indicate that participation in social and economic groups significantly impacts investment plans and decisions. Awareness of the stock market, awareness creation efforts, and family influence were also crucial factors. Conversely, income levels and media access showed no significant effect on share investment decisions. Enhancing awareness of the Dar es Salaam Stock Exchange (DSE) and fostering social interactions are essential to increase investment. The study recommends that the DSE organise seminars and training for prospective investors and utilise both traditional and modern socialisation methods to encourage investment planning and decision-making. This research contributes to understanding individual share investment behaviour in Tanzania and suggests policy interventions to promote broader stock market participation.

Community-based Adaptation Strategies for enhancing Ecological Resilience to Climate Change among Agro-pastoral Communities in the Lake Victoria basin, Tanzania

Laurent Joseph — 2024-06-30

Climate change presents extraordinary challenges, significantly impacting both human and ecological systems in Tanzania's Lake Victoria Basin (LVB). This study investigates how Community-Based Adaptation Strategies (CBASs) enhance ecosystem resilience in the face of changing climate patterns. The research employs a mixed-methods approach, integrating quantitative analysis of CBASs with Participatory Rural Appraisal (PRA). Additionally, focus groups, questionnaires, and interviews were used to broaden the data set, involving 708 participants. The study also included the testing of soil properties, such as pH, organic content, nutrient levels, and fodder quality. Random sampling was utilized to select respondents for questionnaires, while interviewees were purposively chosen. The sample size for this study was 564 participants. Qualitative data were analysed through thematic analysis, and quantitative data were processed using SPSS. The study found that CBASs such as reforestation, agroforestry, beekeeping, alternative cooking fuels, climate-smart livestock production, crop diversification, soil conservation, sustainable land management, water use technology, and soil management strategy have significantly improved agro-pastoralist adaptability and bolstered ecological resilience in the study area. The findings indicate that CBASs have the potential to transform and modify local ecology, leading to ecosystem restoration, reforestation, and the preservation of biodiversity hotspots. Collectively, these efforts have enhanced both community and ecosystem adaptation. The study's results contribute to a deeper understanding of practical strategies for increasing climate resilience in agricultural and pastoral contexts and offer valuable insights for local communities, policymakers, development experts, and other stakeholders. It is recommended that expanding effective adaptation techniques in the LVB requires empowering diverse groups and fostering increased synergy among all stakeholders.

East Africa Journal of Social and Applied Sciences (EAJ-SAS)

Investment Planning and Decision-Making among Individual Investors in Emerging Markets

Community-based Adaptation Strategies for enhancing Ecological Resilience to Climate Change among Agro-pastoral Communities in the Lake Victoria basin, Tanzania