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Publication date: 23 August 2019

Salvador Gil-Pareja, Rafael Llorca-Vivero and José Antonio Martínez-Serrano

The purpose of this paper is to analyze the impact of corruption on trade.

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Abstract

Purpose

The purpose of this paper is to analyze the impact of corruption on trade.

Design/methodology/approach

The authors estimate gravity equations with the last econometric advances on a wide sample of countries and years using three different measures of corruption. Two of them belong to the so-called perception-based indexes and the third is derived from a structural model that takes into account the causes and indicators of corruption across countries.

Findings

A negative effect of corruption on trade appears with perceptions, but it is not widespread. However, the authors find sensible evidence of the “grease the wheels” view with the structural index if low and middle income countries are implicated. Additionally, when using this measure, differences in corruption levels negatively impact trade. Both results are in line with expectations.

Originality/value

Moreover, membership in regional trade agreements does not seem to significantly alter these results.

Details

Applied Economic Analysis, vol. 27 no. 79
Type: Research Article
ISSN: 2632-7627

Keywords

Article
Publication date: 18 December 2008

Kanghwa Choi and Soo W. Kim

This paper describes a comprehensive approach to examine how technological innovation contributes to the renewal of a firm’s competences through its dynamic and reciprocal…

Abstract

This paper describes a comprehensive approach to examine how technological innovation contributes to the renewal of a firm’s competences through its dynamic and reciprocal relationship with R&D and product commercialization. Three theories of technology and innovation (the R&D and technological knowledge concept, product‐process concept, technological interdependence concept) are used to relate technology and innovation to strategic management. Based on these theories, this paper attempts to identify the dynamic relationship between product innovation and process innovation using system dynamics by investigating that aspect of the dynamic changes in the closed feedback circulation structure in which R&D investments drive the accumulation of technological knowledge.

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