How innovation impacts firms' export survival: Does export mode matter?
Meihong Dai,
Haiyang Liu and
Lingtao Lin
The World Economy, 2020, vol. 43, issue 1, 81-113
Abstract:
The innovation‐export nexus has been extensively explored, while relatively few studies have focused on innovation's impact on firms' export survival and the role of export mode. Using a large panel dataset from China, this research empirically explores how innovation impacts firms' export survival, considering export modes. First, we employ the discrete‐time survival analysis model (cloglog) to examine this research addressing the censored issue. Second, the propensity score matching (PSM) methodology is employed to address the selection‐bias issue and select the similar firms based on which to compare their Kaplan–Meier survivor probability. Results present a positive role of innovation in the export survival of direct exporters; however, there is an inverted‐U relationship between innovation intensity and their survival probability. For indirect exporters, evidence shows an insignificant innovation‐export survival nexus. In addition, results show higher export survival for Chinese innovative exporters who are foreign‐owned, highly export‐intensive, long‐lasting in export market, in technology industries. For innovative exporters who export directly, those in medium and low‐technological industries and export capital goods are more likely to survive. Our research provides insights for Chinese exporters regarding innovation participation and suggests the government conducting prudent and deliberate design for innovation strategy.
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (19)
Downloads: (external link)
https://doi.org/10.1111/twec.12847
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:worlde:v:43:y:2020:i:1:p:81-113
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0378-5920
Access Statistics for this article
The World Economy is currently edited by David Greenaway
More articles in The World Economy from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().