Research on the determinants of bilateral trade between Romania and its major trading partners: panel data analysis based on the GLS gravity model

Based on the gravity model theory, this paper studies the determinants ofbilateral trade flows between Romania and its main trading partners from 2010 to2023. The research goal is to explore the role of economic size, geographicaldistance, institutional arrangements and foreign direct investment stock in promotingtrade. To this end, this paper constructs an extended gravity model, using thegeneralized least squares method (GLSAR) and introducing a first-orderautoregressive correction to deal with serial correlation and improve estimationaccuracy. The model introduces variables such as GDP lagged term, FDI laggedterm, geographical distance, border relations, Schengen membership and EUmembership. The results show that economic size and geographical proximity arethe core factors determining trade flows, while institutional integration andinvestment also have a significant driving effect on trade relations.

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Publication Details

Journal
EURINT
Published
2025-12-29
DOI
https://doi.org/10.47743/eurint-2025-huj
Primary Topic
Global trade and economics
Type
article
Field-Weighted Citation Impact
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article

Research on the determinants of bilateral trade between Romania and its major trading partners: panel data analysis based on the GLS gravity model

Jingxin Hu
EURINT
Global trade and economics
article

Research on the determinants of bilateral trade between Romania and its major trading partners: panel data analysis based on the GLS gravity model

Jingxin Hu
article en

Abstract

Based on the gravity model theory, this paper studies the determinants ofbilateral trade flows between Romania and its main trading partners from 2010 to2023. The research goal is to explore the role of economic size, geographicaldistance, institutional arrangements and foreign direct investment stock in promotingtrade. To this end, this paper constructs an extended gravity model, using thegeneralized least squares method (GLSAR) and introducing a first-orderautoregressive correction to deal with serial correlation and improve estimationaccuracy. The model introduces variables such as GDP lagged term, FDI laggedterm, geographical distance, border relations, Schengen membership and EUmembership. The results show that economic size and geographical proximity arethe core factors determining trade flows, while institutional integration andinvestment also have a significant driving effect on trade relations.

EURINTVol. 12
D. A. Tsenov Academy of Economics (BG)
Decent work and economic growth
Openalex Percentile: Top 22%
Global trade and economics
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