2007
DOI: 10.2139/ssrn.1047061
|View full text |Cite
|
Sign up to set email alerts
|

Dynamics of Export Market Entry and Exit

Abstract: We examine the process of internationalisation of firms, contributing to the knowledge on the factors behind a successful entry and operation in the export markets using duration analysis. Rich longitudinal micro-level data on Finnish manufacturing plants allow an indepth analysis of the life cycle of exporting plants over a time span of up to 25 years. In the first part of the analysis, we focus on the factors that explain the duration of time until entering plants start to export. The second part of the stud… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

3
15
0

Year Published

2012
2012
2019
2019

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 14 publications
(19 citation statements)
references
References 42 publications
(22 reference statements)
3
15
0
Order By: Relevance
“…It also confirms the result of previous studies that plant size has a negative impact on export survival (Ilmakunnas and Nurmi 2010). Meanwhile, medium firms are found to face a hazard rate that is 59 per cent of the hazard faced by small firms.…”
Section: Semi-parametric Resultssupporting
confidence: 89%
See 1 more Smart Citation
“…It also confirms the result of previous studies that plant size has a negative impact on export survival (Ilmakunnas and Nurmi 2010). Meanwhile, medium firms are found to face a hazard rate that is 59 per cent of the hazard faced by small firms.…”
Section: Semi-parametric Resultssupporting
confidence: 89%
“…Following the work of Hess and Persson (2012) and Ilmakunnas and Nurmi (2010), we estimate alternative discrete-time duration models, in which the hazard rate is assumed to be of a complementary log-log (cloglog) form. It is a discrete time form of the continuous time proportional hazards model.…”
Section: Semi-parametric Resultsmentioning
confidence: 99%
“…We apply the discrete‐time proportional hazards model to investigate the effects of participation in GVCs on export duration, which allows for a fully nonparametric estimation of the baseline hazard (Hess & Persson, ). Moreover, this model could control for the unobserved heterogeneity by employing a complementary log–log (cloglog) link function (Hess & Person, ; Ilmakunnas & Nurmi, ) as follows:cloglogfalse(1hitalicitdfalse)=α0+α1GVCit+αX+γt+υt+υj+εwhere h itd is the discrete hazard rate for firm i exiting from destination country d in year t. GVC it is the main explanatory variable that represents the participation in GVCs for firm i in year t , and γ t is the interval baseline hazard. v t and v j represent the period fixed effect and industry fixed effect respectively.…”
Section: Empirical Analysismentioning
confidence: 99%
“…This literature looks at the survival of exporting and non-exporting firms on the home market; studies that investigate the determinants of surviving as an exporter on the export market includeIlmakunnas and Nurmi (2010) andWagner (2008a.…”
mentioning
confidence: 99%