Abstract
Remittances are vital for economic growth, especially in developing nations like Yemen. However, the phenomenon of forgotten financial remittances poses significant threats to Yemen's financial stability, as these unreceived transfers negatively impact its economy. Therefore, this study aims to identify the main causes of this phenomenon. These causes include logistical and economic factors of senders and beneficiaries, and features of banks and money exchange firms. The study surveyed 931 Yemeni respondents who experienced forgotten financial remittances, answering 15 possible reasons with "yes" or "no" in the questionnaire. Descriptive statistical measures were employed to characterize the sample, while neural network analysis (NNA) primarily identified the main factors contributing to forgotten financial transfers. The analysis revealed three key dimensions leading to this problem. The first dimension involves communication or access problems between the sender and recipient. The second dimension involves logistical obstacles that hinder remittance flows, including technological, financial, administrative, and bureaucratic challenges. These barriers can be associated with the senders, recipients, or exchange companies.
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Article Details
- Year: 2025
- Volume: 46
- Issue: 2
- Pages: 71 - 102
- Accepted: 30.05.2025
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DOI:
https://doi.org/10.5281/zenodo.17251460 -
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How to Cite?
Saba M. Alwan, Salah Al-hagree, Marwan Mohammed (2025). Neural Network Analysis of Factors Influencing Forgotten Financial Remittances in Yemen. Journal of Economic Cooperation and Development, 46(2), 71-102. https://doi.org/10.5281/zenodo.17251460