CiteNScope — Scholarly Index & Analytics
Discover / IJFBSPUBLICATION RECORD

The Mediating Role of NIM on Market Structure and Bank Performance: Empirical Confirmation from Listed Nepalese CBs

Prem Bahadur Budhathoki · Chandra Kumar Rai

International Journal of Finance & Banking Studies · 2020 · Vol. 9 / Issue 3 · 28-38

Research reach

Publication metrics

External links open provider records or DOI searches. Provider counts are not combined. Mendeley readership measures saves, not citations.

Dimensions

Live provider badge. If unavailable, use the Dimensions link above.

CROSSREF CITATIONS0

Observed 21 Oct 2026, 00:21 UTC

OpenAlex · Citations0Cached provider observation

Observed 21 Oct 2026 00:22 UTC

Mendeley · Readers—No verified count available

OpenAlex and Mendeley observations refresh on article visits, at most once per 24 hours. Unavailable data is not zero. Google Scholar opens a DOI search.

OpenAlex / Citation year

Annual citations to this article

View provider totals ↑

Citations received by this article, grouped by the year of the citing work. Crossref and OpenAlex lifetime totals remain separate in Publication metrics.

2017–2026 Annual history last updated:

Citations received

OpenAlex · year of the citing work

OpenAlex

Hover over a year or focus the chart and use arrow keys to inspect values.

2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.

View data & coverage

2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Years beyond a saved observation’s window remain unknown (—). Older citations are excluded, so this chart’s sum may differ from the OpenAlex lifetime total. The date above belongs to this annual history; an unsuccessful refresh keeps the previous observation.

Overview

Abstract

This study examined the mediating role of net interest margin (NIM) on the nexus between market structure and banks’ performance. Two ordinary least-squares models with a path analysis model were applied to analyze the data. The first regression model measured the indirect effects of market structure, total assets, geographic expansion, and specialization on ROA through NIM and revealed that the higher market share of loans positively effects on bank’s performance and statistically insignificant. Similarly, the geographic expansion was observed to hurt the bank’s ROA, but statistically insignificant. On the other hand, the indirect effect of total asset size and specialization was negative, but the first one was statistically significant, and the second was statistically insignificant. The result of the second regression model measured the direct effect of antecedent variables on the ROA and revealed that the market structure, geographic expansion, and specialization were negatively related to performance measure ROA. However, the direct effect of total assets size was positively related to ROA and statistically significant. The results of the two regression models based on total effects revealed that a higher bank size appeared favorable to Nepalese CBs and was found to have positive effects on ROA but the geographic expansion was a negative effect on ROA, and statistically significant. The results of the study might be helpful to Nepalese bankers, regularity authorities, and other concerned stakeholders to take an effective decision about the direct, indirect, and total effects of chosen antecedent variables on consequent variables through the mediating role of NIM.

Keywords: {'name': 'Market structure, total asset size, geographic expansion, specialization, Path model'}

Authors & affiliations

Prem Bahadur Budhathoki
Affiliation not supplied

Chandra Kumar Rai
Affiliation not supplied

Deposited references

Supplied references, not a list of publications citing this article.

Black, K. (2017). Applied business statistics: Making better business decision. Delhi: Wiley India Private Limited.

DOI: 10.1016/j.frl.2015.10.020

DOI: 10.31014/aior.1992.03.02.219

DOI: 10.9734/ajeba/2020/v15i230210

DOI: 10.1016/j.econlet.2016.08.022

DOI: 10.1016/j.jmacro.2009.10.006

DOI: 10.1016/j.qref.2014.03.001

DOI: 10.1108/03074350810848054

DOI: 10.1016/j.jfineco.2016.01.020

Hayes, F. H. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York: The Guilford Press.

DOI: 10.1016/j.econmod.2020.03.027

DOI: 10.1016/j.ememar.2014.06.001

DOI: 10.1016/j.najef.2008.07.003

DOI: 10.1016/j.ribaf.2016.01.024

DOI: 10.1016/j.ribaf.2016.01.024

DOI: 10.1016/j.jfs.2011.08.001

Lind, D. A., Marchal, W. G., & Wathen, S. A. (2006). Basic statistics for business and statistics. New York, NY: McGraw Hill.

Nepal Rastra Bank. (2016). Banking supervision report, 2016. Kathmandu, Nepal: Bank Supervision Department.

Nepal Rastra Bank. (2017). Unified directives, 2017. Retrieved from: https://www.nrb.org.np/contents/uploads/2019/12/-Directives Unified-_Directives_-2074-1.pdf

Nepal Rastra Bank. (2018). Banking supervision report, 2018. Kathmandu, Nepal: Bank Supervision

department.

DOI: 10.1016/j.gfj.2018.04.004

DOI: 10.1016/j.jeconbus.2005.09.003

DOI: 10.1016/j.sbspro.2014.09.017

DOI: 10.1007/s13198-015-0388-9

DOI: 10.1016/j.najef.2017.07.007

DOI: 10.1016/j.ijindorg.2015.09.003

DOI: 10.1016/j.intele.2016.02.003

DOI: 10.1016/j.bir.2018.07.006