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on Tourism Economics |
| By: | Odhiambo, Nicholas M |
| Abstract: | In this study, the impact of tourism development on poverty alleviation is examined using panel data from 32 sub-Saharan African (SSA) countries during the period 2005-2014. Two indicators of tourism development are used, namely tourist arrivals and tourism revenue. In addition, four control variables have been used, namely economic growth, trade, the rule of law, and income inequality (measured by the Gini coefficient, the Atkinson index and the Palma ratio), thereby leading to three separate specifications for each tourism development proxy. Using the generalized method of moments (GMM) regression analysis, the study found that the impact of tourism development on poverty alleviation is not unanimous. When the number of tourist arrivals is used as a proxy, the results show that an increase in tourism development consistently leads to an increase in household welfare; hence, a decrease in poverty, irrespective of the specification used. However, when tourism revenue is used as a proxy, no significant impact of tourism development on household welfare is found to exist, irrespective of the model specification used. The results also show that income inequality has a clear negative impact on household welfare in SSA countries, while economic growth and the rule of law have a distinct positive effect. |
| Date: | 2021–12 |
| URL: | http://d.repec.org/n?u=RePEc:uza:wpaper:28930&r= |
| By: | Dana Sailaukhanova; Aigerim Yergabulova; Shumaila Yousafzai |
| Date: | 2022 |
| URL: | http://d.repec.org/n?u=RePEc:asx:nugsbd:2022-13&r= |
| By: | Tii N. Nchofoung (University of Dschang, Cameroon); Simplice A. Asongu (Yaoundé, Cameroon); Vanessa S. Tchamyou (Yaoundé, Cameroon) |
| Abstract: | This study empirically examines the effect of tourism and ICT on inclusive development. Inclusive development is approached as human development adjusted for environmental sustainability; ICT is based on mobile phones subscription rate, internet penetration and fixed broadband subscription and a composite indicator of these, while tourism is approached as a the number of arrivals. The data are collected for 142 countries globally between the 2000-2019 period and the regression methodologies involve the POLS, the Driscoll and Kraay estimator, the Mean Group, the System GMM and the fixed effects Tobit regression. The results of the linear model show that, tourism enhances sustainable development and ICT has a negative significant effect. While the effect of tourism is robust across income groups, regional groupings and regression methodologies, the effect of ICT varies across these different specifications. When non-linearity is considered, the effects of both ICT and tourism are positive and robustly non-linear. The non-linear effect of tourism is not however feasible across income groups. Besides, while the effect of tourism is positively and non-lineally related to sustainable development in politically-stable economies, the effect is non-significant in unstable economies. From the results, countries should seize the opportunity offered by the tourism sector and ICT as effective policy tools towards sustainable development. In this regard, countries should invest in both ICT and tourism while observing the thresholds where complementary policies should be used. Also, politically-unstable economies should engage in peace talks such that they could join their politically-stable counterparts in benefiting from the positive economic effects offered by tourism and ICT. |
| Keywords: | Inclusive development; ICT; tourism |
| JEL: | B15 B40 I31 J24 Q01 |
| Date: | 2022–01 |
| URL: | http://d.repec.org/n?u=RePEc:exs:wpaper:22/037&r= |
| By: | Dana Sailaukhanova; Shumaila Yousafzai |
| Date: | 2022 |
| URL: | http://d.repec.org/n?u=RePEc:asx:nugsbd:2022-14&r= |
| By: | Abdalla, Fadhila Hassan; Samah, Asnarulkhad Abuu; Hashim, Ahmad Hariza; Rosnon, Moh’d Roslan |
| Abstract: | This study determined the relationship between socio-economic factors and participation in decision-making among women community in Zanzibar. Data was collected from 387 respondents using structured questionnaire distributed to nine wards of Zanzibar and analyzed using Smart PLS. The descriptive analysis revealed that there is a high level of participation in decision-making among women community in Zanzibar whereby the mean is equal to 3.8519, and standard deviation is 0.75238. The Smart PLS analysis results indicated that there are significant negative relationships between level of education, nature of tourism activities and participation in decision making. Hence, this result indicates that the less educated the women are the less they participate in the decision-making. Further, the nature of tourism activities is also negatively affecting the decision to participate in the decision-making process. |
| Date: | 2022–05–24 |
| URL: | http://d.repec.org/n?u=RePEc:osf:osfxxx:gs5re&r= |