Effect of geopolitical distance on export efficiency in the transition countries

This study explores the impact of geopolitical distance on trade efficiency in 18 transition economies from 1990 to 2020. It examines how differences in political alignment, measured through United Nations General Assembly (UNGA) voting patterns, influence export performance. Export efficiency is defined as the ratio of actual exports to potential exports. Geopolitical distance is quantified using voting similarity scores in the UNGA. The study employs a stochastic frontier analysis (SFA) to estimate export efficiency and assess the effects of geopolitical distance while controlling for economic and institutional factors. Greater geopolitical distance negatively affects export efficiency by increasing sourcing costs and input complexity. The impact varies over time and depends on the exporter’s political system, especially whether it remains a communist state, as well as the development level of trading partners. The findings underscore the importance of political alignment in trade efficiency. Transition economies with closer geopolitical ties to major trading partners tend to achieve higher export efficiency. The study offers insights for policymakers and business leaders in transition economies. To mitigate geopolitical risks, firms should diversify trade partners, while governments can pursue strategic diplomatic and trade policies to enhance market access.

Authors

Institutions

Publication Details

Journal
Asian Economic and Financial Review
Published
2025-04-09
DOI
https://doi.org/10.55493/5002.v15i3.5348
Primary Topic
Global trade and economics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effect of geopolitical distance on export efficiency in the transition countries

Thi Cam Thuy Nguyen, Trung Thanh Nguyen
Asian Economic and Financial Review
Global trade and economics
article

Effect of geopolitical distance on export efficiency in the transition countries

Thi Cam Thuy Nguyen, Trung Thanh Nguyen
article en

Abstract

This study explores the impact of geopolitical distance on trade efficiency in 18 transition economies from 1990 to 2020. It examines how differences in political alignment, measured through United Nations General Assembly (UNGA) voting patterns, influence export performance. Export efficiency is defined as the ratio of actual exports to potential exports. Geopolitical distance is quantified using voting similarity scores in the UNGA. The study employs a stochastic frontier analysis (SFA) to estimate export efficiency and assess the effects of geopolitical distance while controlling for economic and institutional factors. Greater geopolitical distance negatively affects export efficiency by increasing sourcing costs and input complexity. The impact varies over time and depends on the exporter’s political system, especially whether it remains a communist state, as well as the development level of trading partners. The findings underscore the importance of political alignment in trade efficiency. Transition economies with closer geopolitical ties to major trading partners tend to achieve higher export efficiency. The study offers insights for policymakers and business leaders in transition economies. To mitigate geopolitical risks, firms should diversify trade partners, while governments can pursue strategic diplomatic and trade policies to enhance market access.

Asian Economic and Financial ReviewVol. 15(3)
The State Bank of Vietnam (VN)
Openalex Percentile: Top 88%
Global trade and economics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.