JOURNAL ARTICLE

Women's empowerment and tourism: Emerging determinants of poverty in low and middle‐income countries.

  • Published In: International Social Science Journal, 2024, v. 74, n. 253. P. 1069 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Zafar, Mahwish; Bashir, Muhammad Farhan; Bukhari, Azaz Ali Ather 3 of 3

Abstract

This study examines the impact of women's empowerment and tourism on poverty in the developing economies of South Asia, sub‐Saharan Africa and Latin America. Current study formulates a vector autoregression (VAR) model to estimate the long‐run association between emerging determinants of poverty reduction. Our empirical findings show that tourism and women's empowerment have significant and negative long‐term associations with poverty in South Asia, Latin America and Africa. Moreover, this study found that women's empowerment is relatively more important in poverty reduction than tourism in South Asia and Africa, whereas in Latin America, tourism has a relatively greater contribution to poverty. Similarly, the results of the vector error‐correction (VECM) Granger Causality/Block Exogeneity Wald test indicated unidirectional causality between women's empowerment and poverty, tourism and poverty in South Asia. Similarly, unidirectional causality exists between women's empowerment and poverty in Latin America and Africa. Our econometric discussion helps suggest policy suggestions to overcome the challenges of poverty in developing economies. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Social Science Journal. 2024/09, Vol. 74, Issue 253, p1069
  • Document Type:Article
  • Subject Area:Earth and Atmospheric Sciences
  • Publication Date:2024
  • ISSN:0020-8701
  • DOI:10.1111/issj.12498
  • Accession Number:180521410
  • Copyright Statement:Copyright of International Social Science Journal is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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