Determinants of Export Diversification: Evidence from Fractional Logit Estimation Model

This article empirically explores the key drivers of export diversification in a large panel of 101 countries consisting of 43 high-income, 47 middle-income, and 11 low-income countries from 1995 to 2019. Considering the fractional nature of the dependent variable (Herfindahl-Hirschman Index), the e...

Full description

Saved in:
Bibliographic Details
Published in:Foreign trade review (New Delhi) 2022-05, Vol.57 (2), p.160-177
Main Authors: Swathi. M, Sridharan, P.
Format: Article
Language:English
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This article empirically explores the key drivers of export diversification in a large panel of 101 countries consisting of 43 high-income, 47 middle-income, and 11 low-income countries from 1995 to 2019. Considering the fractional nature of the dependent variable (Herfindahl-Hirschman Index), the estimates are obtained using the fractional logit technique with a set of potential determinants of export diversification for all country samples and three sub-samples. The results reveal that human capital accumulation, GDP per capita, population, trade openness, the share of manufactured output to GDP, and FDI are important determinants of export diversification. However, the share of agriculture to GDP and official exchange rate promotes export concentration. Contrary to our all-country estimation, GDP per capita and population act as deterrents to export diversification in low-income countries. In addition, the results show that the value-added in agriculture plays a dominant role in strengthening the export structure of high-income countries. Our findings suggest that policymakers should implement and reform policies targeting human capital accumulation, trade openness, investment, and value addition in the manufacturing sector for diversifying the export structure. JEL Codes: C33, F14, J24, O1
ISSN:0015-7325
0971-7625
DOI:10.1177/00157325211072922