The curvilinear relationship between digitalization and export propensity: The role of home country corruption in emerging economies
Joan-Lluís Capelleras,
Victor Martin-Sanchez and
Chao Zhang
Technological Forecasting and Social Change, 2025, vol. 214, issue C
Abstract:
Drawing on resource-based and institutional considerations, we suggest a curvilinear relationship between digitalization and the export propensity of emerging economy enterprises (EEEs), while also arguing that this association is influenced by the level of corruption in the home country. We run a multilevel analysis on a dataset of firm- and country-level characteristics for 35 emerging economies and 17,265 observations. Our predictions confirm an inverted U-shaped relationship between digitalization and export propensity. Additionally, we find that corruption steepens this curvilinear relationship. These insights contribute to a nuanced understanding of the interplay between digitalization, corruption, and the internationalization efforts of EEEs.
Keywords: Digitalization; Export propensity; Corruption; Curvilinear relationship; Emerging economy enterprises (EEEs) (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162525000745
Full text for ScienceDirect subscribers only
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:eee:tefoso:v:214:y:2025:i:c:s0040162525000745
DOI: 10.1016/j.techfore.2025.124043
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().