Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/31150
Title: Vehicle recalls performance in an emerging market: Evidence from the comparison between China and U.S.
Authors: Shi, Wen
Leng, Kaijun
VAN NIEUWENHUYSE, Inneke 
Liu, Yucui
Chen, Xiaohong
Issue Date: 2020
Publisher: PERGAMON-ELSEVIER SCIENCE LTD
Source: TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 132 , p. 290 -307
Abstract: The past decade has witnessed a remarkable growth of automobile sales and production in emerging economies, with China developing into the largest global auto market since 2009. This paper focuses on an important but neglected aspect in these emerging markets, namely, vehicle recalls. The aim of this study is twofold. The first is to show that a significant difference exists in the number and volume of vehicle recalls between the emerging Chinese market and the established US market; the second is to detect whether this difference can be attributed to the initiator level (voluntary versus involuntary recalls) and/or the firm level (organizational ownership structure and nationality of the foreign partner in international joint ventures). To that end, we quantify the recall performance by means of 4 metrics: total number of recall events per annum (NRE), total number of units recalled per annum (NUR), average number of vehicles recalled per event per annum (NRPE), and recall rate (RR); for each of these, we benchmark the US market and assess the relative performance of the investigated market using a bootstrap method. The empirical results indicate that the recall metrics in the Chinese market have un-derperformed relative to those of the established market. This is extremely pertinent in light of the current "Going Out" policy put forward by the Chinese government, as subpar quality awareness hampers the successful access of Chinese automakers to foreign markets.
Keywords: Vehicle recalls;Voluntary recalls;Mandatory recalls;Self-owned brand;Joint-venture
Document URI: http://hdl.handle.net/1942/31150
ISSN: 0965-8564
e-ISSN: 1879-2375
DOI: 10.1016/j.tra.2019.11.006
ISI #: 000514014700020
Rights: 2019 Elsevier Ltd. All rights reserved.T
Category: A1
Type: Journal Contribution
Validations: ecoom 2021
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
TRA_publication2020.pdf
  Restricted Access
Published version1.62 MBAdobe PDFView/Open    Request a copy
TranspResA_2020_authorversionLIRIAS.pdfPeer-reviewed author version537.82 kBAdobe PDFView/Open
Show full item record

SCOPUSTM   
Citations

1
checked on Sep 2, 2020

WEB OF SCIENCETM
Citations

4
checked on Apr 23, 2024

Page view(s)

34
checked on May 19, 2022

Download(s)

2
checked on May 19, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.