Title: Performance benchmarking on export credit agencies: a data envelopment analysis

Authors: Amir Karbassi Yazdi; Yong J. Wang; Mehdi Mohammadi Kahorin

Addresses: Young Researchers and Elite Club, Islamic Azad University, South Tehran Branch, Tehran, Iran ' Department of Marketing, West Chester University, West Chester, Pennsylvania 19383, USA ' Export Guarantee Fund of Iran (EGFI), Tehran, Iran

Abstract: Export credit agencies (ECAs) play an important role in a country's export oriented economy. Due to the importance, this research aims to evaluate the performance of ECAs that are members of the Prague Club and the Berne Union, based on four inputs and five outputs. For the purpose of performance benchmarking, data envelopment analysis (DEA) is applied in this research to investigate the performance variables. The results show that, among the selected ECAs, 12 of them are efficient and nine are inefficient. Moreover, we demonstrate how inefficient ECAs can benchmark against efficient ECAs for better performance by prioritising inputs and outputs.

Keywords: data envelopment analysis; DEA; BCC model; firm performance; benchmarking; export credit agency; ECA.

DOI: 10.1504/IJPQM.2019.103528

International Journal of Productivity and Quality Management, 2019 Vol.28 No.3, pp.340 - 359

Received: 09 May 2018
Accepted: 16 Sep 2018

Published online: 08 Nov 2019 *

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