Search

The primary objective of the study was to comprehend the factors influencing customers' choices in supermarket shopping. A notable concern arises as shoppers tend to frequent supermarkets regardless of the availability of alternative modern shopping options nearby. Employing the convenience sampling method, the research distributed 300 self-administered questionnaires at Mlimani City, a significant mall in Dar es Salaam, and retrieved 291 completed responses. Guided by consumer behavior theories, the study focused on utilitarian, hedonic, and social factors influencing customer satisfaction with supermarket shopping experiences. The findings emphasized the paramount importance of social factors, followed by hedonic factors, in shaping customer satisfaction. Utilitarian factors exhibited a stronger impact on behavioral intention but had a relatively lesser influence on overall customer satisfaction with the supermarket experience. This highlights that, for many Tanzanians, supermarkets serve as spaces for social interaction and leisure activities rather than purely for shopping. These insights carry significant implications for academia, managers, and policymakers, offering valuable perspectives to enhance the supermarket shopping experience for Tanzanian consumers. [ABSTRACT FROM AUTHOR]

Despite the increase in tourism, the contribution of tourism to poverty reduction is questionable. Using secondary data with poverty index as a dependent variable, the effects of tourism value, total trade value, foreign direct investment, gross domestic product, and exchange rates were tested using econometric time series analysis for Tanzania from 1987 to 2020. The results for the long-run effects indicate all five variables significantly influence on human development as a proxy for poverty. Foreign direct investment has a negative effect, unlike the other variables. These results offer support to the Tourism Led Growth Hypothesis for a developing country like Tanzania in sub-Saharan Africa. Thus it is logical to continue promoting tourism in conjunction with the facilitation of export trade as a means of poverty reduction. Attracting foreign direct investments should continue but put into consideration policies, regulations, and the business environment that facilitate local business linkages with tourism which will reduce profit leakages. [ABSTRACT FROM AUTHOR]

The paper explores the impact of Foreign Direct Investment (FDI) on unemployment rates in Tanzania, utilizing data spanning from 1992 to 2022. It is essential to recognize that many least-developed countries (LDCs) have strategically implemented measures to boost FDI acquisition, acknowledging its direct influence on national growth through increased employment opportunities. The study utilizes the Augmented Dickey-Fuller (ADF) test to examine the unit root and subsequently applies the Autoregressive Distributed Lag (ARDL) model. The findings indicate that FDI and GDP growth rates exhibit appropriate signs. Importantly, the paper establishes a negative relationship between the unemployment rate and FDI inflows in Tanzania. Therefore, to alleviate unemployment, it is crucial for the Tanzanian economy to actively attract more FDI. Achieving this objective requires leveraging policy instruments such as exchange rates, inflation management, political stability, human capital development, and optimizing legal and regulatory frameworks. Implementing these measures will create a conducive environment for increased FDI inflows into Tanzania. [ABSTRACT FROM AUTHOR]

This paper analyses the effect of trade and foreign direct investments (FDI) on Tanzania's economic growth using time-series data from 1970 to 2019. All the variables are found to be integrated of order one, I (1). The study applies the cointegration test and a VECM accordingly. The Johansen test underscores the presence of two co-integrating equations, which confirms the long-run associations between variables. The VECM demonstrates the presence of a long-run relationship running from FDI, TRD, and EXR to GDP growth. While the Wald test reveals the presence of short-run causality running from FDI and TRD to GPD; however, there is no short-run causality from EXR to GDP. The study concludes that there is a positive relationship between the explanatory variables and economic growth. Therefore, the Tanzanian government should encourage exports to realize the potential effects of trade and FDI on economic growth. [ABSTRACT FROM AUTHOR]

This article investigates the relationship between trade and economic growth in Tanzania for the period from 1970 to 2016. The article utilises the Autoregressive Distributed Lag Model known as the ARDL bounds testing to co-integration. In this article, it utilises a general-to-specific technique using the Ordinary Least Square (OLS) method on estimates, to come up with significant variables. Foreign direct investment, population growth and exchange rates were added to the model as explanatory variables. The empirical evidence confirms the existence of a long-run relationship between selected variables, implying that in the long-run, all variables can move together. The empirical results of the analysis reveal that exports, imports, foreign direct investment and exchange rates have a robust and significant influence on economic growth in Tanzania. However, population growth seems to have less insignificance compared to the other variables. As far as policy is concerned, the government should revisit trade policy measures to control imports and minimise trade deficit. This will in turn lead to momentous economic growth. [ABSTRACT FROM AUTHOR]