Determinants of Poverty: A Mini-Review
MA Abdulwasaa, SV Kawale - Current Journal of …, 2023 - research.sdpublishers.net
This paper aims to review the literature on the determinants of poverty. This study also
provides insights into the interplay between demographic, social, economic, and political …
provides insights into the interplay between demographic, social, economic, and political …
Multi-period Analysis and Household Registration Differences of Multidimensional Poverty Among Migrant Workers
MA Bhuiyan, Z Liu, F Meng - Social Indicators Research, 2023 - Springer
This paper aims to explore the multidimensional poverty of the migrant workers. This paper
also analyzed the migrant worker's household registration differences and multi-period …
also analyzed the migrant worker's household registration differences and multi-period …
Multidimensional poverty and vulnerability assessment in the face of climate change adaptation in developing economies: focus on ecosystem-based livelihoods in …
CC Makondo, DSG Thomas - Environment, Development and …, 2024 - Springer
The impacts of climate change are being felt in weaker economies, especially among the
rural poor dependent on rainfed agriculture and ecosystem-based livelihoods. Using mixed …
rural poor dependent on rainfed agriculture and ecosystem-based livelihoods. Using mixed …
Nomads of the Void: Unpacking the Enigmatic Lives and Survival of Syrian Dom Refugee Women in North Lebanon
JL Diab, A Saban - Journal on Migration and Human …, 2024 - journals.sagepub.com
This article investigates the challenges faced by the Syrian Dom community in Lebanon,
with a particular focus on the gender-specific adversities encountered by women …
with a particular focus on the gender-specific adversities encountered by women …
A Machine Learning Approach to Targeting Humanitarian Assistance Among Forcibly Displaced Populations
A Lyons, A Montoya Castano… - Available at SSRN …, 2023 - papers.ssrn.com
Increasing trends in forced displacement and poverty are expected to intensify in coming
years. Data science approaches can be useful for governments and humanitarian …
years. Data science approaches can be useful for governments and humanitarian …
A Geospatial Analysis of Food Insecurity Among Refugee Households in Lebanon Using Machine Learning Techniques
A Lyons, J Kass-Hanna, D Pingali… - Available at SSRN …, 2024 - papers.ssrn.com
This study integrates geospatial analysis with machine learning to understand the interplay
and spatial dependencies among various indicators of food insecurity. Combining …
and spatial dependencies among various indicators of food insecurity. Combining …
[PDF][PDF] Think20, India 2023
AC Lyons, J Kass-Hanna, AM Castano, Y Zhang… - researchgate.net
The world is facing an unprecedented surge in displacement as millions of individuals have
been forced to flee due to conflicts, environmental degradation, and other hardships …
been forced to flee due to conflicts, environmental degradation, and other hardships …