File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Excessive entry and exit in export markets

TitleExcessive entry and exit in export markets
Authors
KeywordsUncertainty
Export dynamics
Knowledge spillover
Learning to export
Issue Date2019
Citation
Journal of the Japanese and International Economies, 2019, v. 53, article no. 101031 How to Cite?
Abstract© 2019 Elsevier Inc. Using transaction-level data for all Chinese firms exporting between 2000 and 2006, we find that on average 78% of exporters to a country in a given year are new exporters. Among these new exporters, an average of 60% stopped serving the same country the following year. These rates are higher if the destination country is a market with which Chinese firms are less familiar. We build a simple two-period model with imperfect information, in which beliefs about their foreign demand are determined by learning from neighbors. In the model, a high variance of the prior distribution of foreign demand induces firms to enter new markets. This is because the profit function is convex in perceived foreign demand due to the option of exiting, which insures against the risk of low demand realization. We then use our micro data to empirically examine several model predictions, and find evidence to support the hypothesis that firms’ high entries and exits are outcomes of their rational self-discovery of demand in an unfamiliar market.
Persistent Identifierhttp://hdl.handle.net/10722/273750
ISSN
2021 Impact Factor: 1.985
2020 SCImago Journal Rankings: 0.523
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorKasahara, Hiroyuki-
dc.contributor.authorTang, Heiwai-
dc.date.accessioned2019-08-12T09:56:33Z-
dc.date.available2019-08-12T09:56:33Z-
dc.date.issued2019-
dc.identifier.citationJournal of the Japanese and International Economies, 2019, v. 53, article no. 101031-
dc.identifier.issn0889-1583-
dc.identifier.urihttp://hdl.handle.net/10722/273750-
dc.description.abstract© 2019 Elsevier Inc. Using transaction-level data for all Chinese firms exporting between 2000 and 2006, we find that on average 78% of exporters to a country in a given year are new exporters. Among these new exporters, an average of 60% stopped serving the same country the following year. These rates are higher if the destination country is a market with which Chinese firms are less familiar. We build a simple two-period model with imperfect information, in which beliefs about their foreign demand are determined by learning from neighbors. In the model, a high variance of the prior distribution of foreign demand induces firms to enter new markets. This is because the profit function is convex in perceived foreign demand due to the option of exiting, which insures against the risk of low demand realization. We then use our micro data to empirically examine several model predictions, and find evidence to support the hypothesis that firms’ high entries and exits are outcomes of their rational self-discovery of demand in an unfamiliar market.-
dc.languageeng-
dc.relation.ispartofJournal of the Japanese and International Economies-
dc.subjectUncertainty-
dc.subjectExport dynamics-
dc.subjectKnowledge spillover-
dc.subjectLearning to export-
dc.titleExcessive entry and exit in export markets-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.jjie.2019.101031-
dc.identifier.scopuseid_2-s2.0-85066301179-
dc.identifier.volume53-
dc.identifier.spagearticle no. 101031-
dc.identifier.epagearticle no. 101031-
dc.identifier.isiWOS:000486735500001-
dc.identifier.issnl0889-1583-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats