Analysing the determinants of technical efficiency in major Chinese retail firms: a bootstrap data envelopment analysis (DEA) and truncated regression approach

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Publication Details

Journal
American J of Finance and Accounting
Published
2025-01-01
DOI
https://doi.org/10.1504/ajfa.2025.10070537
Primary Topic
Efficiency Analysis Using DEA
Type
article
Field-Weighted Citation Impact
0.00
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article

Analysing the determinants of technical efficiency in major Chinese retail firms: a bootstrap data envelopment analysis (DEA) and truncated regression approach

Benjamin Azembila Asunka, Oswin Aganda Anaba, N A, Obed Dalad et al.
American J of Finance and Accounting
Efficiency Analysis Using DEA
article

Analysing the determinants of technical efficiency in major Chinese retail firms: a bootstrap data envelopment analysis (DEA) and truncated regression approach

Benjamin Azembila Asunka, Oswin Aganda Anaba, N A, Obed Dalad, Dawuda Abudu
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

American J of Finance and AccountingVol. 8(3)
Decent work and economic growth
Openalex Percentile: Top 92%
Efficiency Analysis Using DEA
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