Please use this identifier to cite or link to this item:
https://openscholar.ump.ac.za/handle/20.500.12714/389
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Maredza, Andrew. | en_US |
dc.date.accessioned | 2021-11-09T09:51:15Z | - |
dc.date.available | 2021-11-09T09:51:15Z | - |
dc.date.issued | 2021 | - |
dc.identifier.uri | https://openscholar.ump.ac.za/handle/20.500.12714/389 | - |
dc.description | This is an EarlyCite article. | en_US |
dc.description.abstract | Purpose – This paper investigates the endogenous relationships between banking performance and social welfare in Southern African Development Community (SADC) countries. Design/methodology/approach – A comprehensive three-stage multi-criteria decision-making (MCDM) approach based on alternative informational assumptions is applied. Findings – Results indicate that banking performance is paradoxically associated with stagnant economic activity and higher wealth concentration for the minority. The authors found that SADC banking performance promotes higher Human Development Index (HDI) standards possibly via efficient financial intermediation, dissemination of best managerial practices and other forms of positive spillovers in these countries. Originality/value – This paper contributes to the MCDM literature by simultaneously exploring the key concepts of “utility functions” (using COPRAS) and “distance to ideal solutions” (using TOPSIS) in mapping and explaining the feedback and cause-effect processes between banking performance and social welfare that may exist. Another distinctive aspect is related to the computation of bias-free criteria weights, using a robust SWARA order-rank based on information entropy. Finally, this paper is concerning the endogeneity measurement, using a novel stochastic structural relationship non-linear programme. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Emerald Publishing Limited | en_US |
dc.relation.ispartof | Journal of Economic Studies | en_US |
dc.subject | COPRAS. | en_US |
dc.subject | Multi-criteria decision-making. | en_US |
dc.subject | TOPSIS. | en_US |
dc.subject | SWARA. | en_US |
dc.subject | Banking performance. | en_US |
dc.subject | Social welfare. | en_US |
dc.title | Social welfare and bank performance: evidence from a stochastic neural hybrid MCDM approach. | en_US |
dc.type | journal article | en_US |
dc.identifier.doi | 10.1108/JES-05-2021-0236 | - |
dc.contributor.affiliation | School of Development Studies | en_US |
dc.relation.issn | 0144-3585 | en_US |
item.languageiso639-1 | en | - |
item.fulltext | With Fulltext | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | embargo_20501001 | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.openairetype | journal article | - |
Appears in Collections: | Journal articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Social-welfare-and-bank-performance-evidence-from-a-stochastic-neural-hybrid-MCDM-approach .pdf Until 2050-10-01 | Accepted version | 2.78 MB | Adobe PDF | View/Open Request a copy |
Items in UMP Scholarship are protected by copyright, with all rights reserved, unless otherwise indicated.