Browsing by Autor "Fayaz Gul Mazloum Yar"

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Economic Empowerment of Families: Successful Experiences from Developing Countries and Modeling for Afghanistan
(2025) Fayaz Gul Mazloum Yar; Najeeb Ullah Talash
This research investigates economic empowerment strategies for families in Afghanistan by drawing from successful models in developing countries. Recognizing the pressing need to alleviate poverty and enhance livelihoods in Afghanistan, where socio-economic challenges are profound, the study aims to identify transferable strategies and propose a tailored model for the Afghan context. Using a mixed methods approach, the research combines quantitative surveys of 300 families with qualitative interviews and focus groups to assess the impacts of empowerment programs. Results reveal a 35% average income increase among participating families, with improved employment and access to financial services playing pivotal roles. Qualitative findings emphasize community support, gender dynamics, and the need for sustainable program frameworks. The study concludes that localized economic empowerment strategies, integrating training, financial inclusion, and community engagement, are crucial for fostering resilience and sustainable livelihoods in Afghanistan. These findings offer actionable insights for policymakers and contribute significantly to the discourse on family economic empowerment in developing regions.
Investment Priorities and Barriers for Desert Tourism in Western Afghanistan: A Mixed-Methods AHP–TOPSIS Assessment
(2025) Fayaz Gul Mazloum Yar; Najeeb Ullah Talash
Desert tourism in western Afghanistan presents both investment potential and socio-environmental risks, yet empirical guidance for prioritizing interventions is scarce. This study identifies and ranks investment priorities and persistent barriers to sustainable desert tourism and examines how community participation mediates investor intent. This study used a convergent mixed-methods design. Decision criteria were elicited with the Analytic Hierarchy Process (AHP) from n = 15 regional and sector experts; criteria weights were applied to a TOPSIS ranking of preferences derived from a structured survey of n = 300 stakeholders. Qualitative triangulation was provided by semi-structured interviews (n = 25). AHP pairwise matrices were evaluated for consistency (report CRs in manuscript). Inferential analyses (multiple regression and mediation testing using bootstrap resampling) examined relationships among perceived risks, community partnership mechanisms, and investment intent. Results show AHP/TOPSIS integration produced a clear priority ordering of investment criteria; green-technology and community-partnership mechanisms emerged among top priorities (see Table X). Survey models show statistically significant associations between perceived security risks and reduced investor intent; community participation attenuates this relationship (bootstrapped indirect effect — report point estimate and 95% CI). Qualitative themes corroborate quantitative rankings and clarify context-specific barriers (infrastructure gaps, governance, and security). Combining AHP and TOPSIS with qualitative evidence yields actionable, locally grounded investment priorities for desert tourism policy and planning. Prior to submission, insert exact CR values, regression coefficients, p-values, and bootstrap CIs in the placeholders provided. Limitations include cross-sectional design and sample representativeness.