This study explores the transformative effects of e-commerce on cross-border trade in the digital age, with a

particular focus on the Balkan countries (Kosovo, Albania, Bulgaria, Bosnia and Herzegovina, Montenegro,

Romania, Croatia, Serbia, northern Macedonia, Greece and Slovenia). It analyzes how the integration of

electronic commerce reshapes traditional international trading practices by reducing geographical barriers and

introducing new cost dynamics. Utilizing survey data from 300 e-commerce SMEs, the research investigates the

impact of factors such as distance, language barriers, and emerging e-commerce costs on trade expenses.

Through regression analysis, the study reveals that online transactions significantly lower distance-related costs,

aligning with the "death of distance" concept. However, language barriers continue to pose a challenge. The

JEL Classification: F14, L81, O33

The digital economy has significantly transformed the nature of international trade by enabling businesses to

engage in cross-border transactions through electronic platforms. Unlike traditional trade, which relies on

physical interaction and geographical proximity, e-commerce reduces spatial limitations and facilitates faster

global exchange of goods and services. However, despite these advantages, cross-border e-commerce is still

influenced by several structural and operational barriers. Among the most important are distance-related costs,

language barriers, and e-commerce transaction costs. These factors may increase transaction complexity, reduce

market accessibility, and limit the efficiency of international trade, particularly for small and medium-sized

enterprises (SMEs).

Accordingly, this study empirically examines the impact of these three determinants on cross-border trade

performance using regression analysis. The findings aim to provide evidence-based insights into which factors

most strongly influence digital trade barriers and to support policy interventions that enhance international e-

commerce efficiency.

Recent literature widely acknowledges that digital transformation has fundamentally reshaped international trade

traditional trade structures into more flexible and scalable systems (Nanda et al., 2021).

E-commerce is defined as the buying and selling of goods and services through electronic networks, mainly the

internet (Guven, 2020). It has significantly improved efficiency in international trade by reducing operational

costs and increasing global competitiveness. At the same time, it has lowered entry barriers, allowing smaller

firms to compete in global markets alongside large multinational corporations. However, the literature remains

inconclusive regarding whether digitalization fully eliminates traditional trade barriers. While some studies

argue that e-commerce significantly reduces the impact of geographical distance on trade costs (Wang et al.,

2021), others highlight that logistics constraints, customs delays, and delivery inefficiencies continue to sustain

a “border effect” in international trade (Dolfen et al., 2023; Yan et al., 2023).

Moreover, digital adoption is uneven across countries. Developing economies often face constraints related to

leading to increased global trade flows, while non-tariff barriers such as regulatory restrictions, customs

procedures, and licensing requirements remain important constraints (Khanna et al., 2023).

Cross-border e-commerce has emerged as a complementary trade channel that operates alongside traditional

trade systems. It provides firms with opportunities for international expansion, cost reduction, and broader

market access. Consumers also benefit through increased product variety, improved price transparency, and

enhanced competition. Despite these benefits, several structural barriers continue to affect cross-border e-

commerce performance. These include distance-related costs, language barriers, e-commerce transaction costs,

logistics inefficiencies, and regulatory heterogeneity across countries. Such barriers are particularly pronounced

in developing and transitional economies where institutional and digital infrastructure remain less developed

(Cassia & Magno, 2022).

digital infrastructure improvements. For instance, Sharma (2024) finds that reduced trade barriers can increase

trade volumes by approximately 15%, particularly when supported by efficient logistics and communication

systems.

barriers.

This study employs a descriptive and analytical research design to examine the impact of e-commerce on cross-

border trade among SMEs in the Balkan region. The descriptive component provides an overview of SME

characteristics and e-commerce engagement, while the analytical component investigates the relationship

between trade expenses and key explanatory factors through statistical analysis. This combined approach enables

both contextual understanding and empirical testing of the proposed relationships.

The target population consisted of small and medium-sized enterprises (SMEs) actively engaged in cross-border

retained for analysis, resulting in a response rate of 78.9%. Incomplete or inconsistent questionnaires were

excluded from the final dataset. The selected sample was considered sufficient to ensure reliable statistical

analysis and regional representation.

Data were collected through a structured questionnaire administered electronically to SMEs operating in cross-

border e-commerce. Follow-up reminders were sent to encourage participation and improve response rates.

The questionnaire included both closed-ended and Likert-scale questions designed to collect information

regarding trade expenses, distance-related costs, language barriers, payment systems, and emerging e-commerce

costs. Responses were recorded using standardized measurement scales to facilitate statistical analysis.

with the research objectives.

Reliability was assessed using Cronbach’s Alpha. The results exceeded the recommended threshold of 0.70,

indicating satisfactory internal consistency and reliability of the measurement scales.

The study employed one dependent variable and several independent variables. Trade Expenses served as the

dependent variable, while Distance Costs, Language Barriers, and Emerging E-Commerce Costs were included

as explanatory variables. Table 1 presents the operational definitions, measurement scales, and coding

procedures used in the analysis.

Table 1. Variable Definition and Coding

The framework guides the empirical analysis by examining how these factors affect trade expenses among SMEs

operating in the Balkan region.

Table 4. Descriptive Statistics of Key Variables

The comparison across countries reveals important differences in the adoption and challenges of cross-border e-

These findings suggest that while digital technologies have facilitated market access, structural barriers continue

to influence the effectiveness of cross-border e-commerce throughout the Balkan region.

Source: Calculated from authors

In this chart, we find from the survey that SMEs across various Balkan countries are actively engaged in e-

commerce, though most have only been involved for a short period (1-3 years). The data also reveals that

shipping costs and language barriers are among the most significant challenges these businesses face when

operating across borders. The impact of distance as a trade barrier varies by country, suggesting that geographical

considerations still play a role in some regions but are less of an obstacle in others. Overall, the findings indicate

that while e-commerce is expanding, SMEs in the Balkans encounter consistent barriers related to logistics and

costs emerge as a significant factor, with all countries showing high percentages (above 70%), indicating that

companies across the region face substantial challenges related to shipping expenses. In contrast, the distance

impact rating remains low for most countries, with values under 20%, suggesting that geographical distance may

not be perceived as a major barrier in cross-border trade within this region. Language barriers show a notable

impact, particularly in countries like Albania, North Macedonia, and Bosnia & Herzegovina, where high

percentages indicate that language differences pose substantial challenges for trade. However, the frequency of

obstacles are not frequently encountered. Overall, the data suggests that while shipping costs and language

barriers are prominent issues in the Balkan trade context, distance and other barriers are less impactful.

To examine the impact of distance costs, language barriers, and emerging e-commerce costs on trade expenses,

a multiple regression model was estimated. The regression model produced an R value of 0.482, indicating a

moderate positive relationship between the explanatory variables and trade expenses. The coefficient of

determination (R² = 0.232) suggests that approximately 23.2% of the variation in trade expenses is explained by

the variables included in the model.

Although the explanatory power of the model is moderate, the findings confirm that the selected variables

significantly influence the costs associated with cross-border e-commerce activities.

The results indicate that distance-related costs remain the strongest determinant of trade expenses, followed by

emerging e-commerce costs and language barriers.

The regression results indicate that all explanatory variables have positive and statistically significant effects on

trade expenses, as all p-values are below the 0.05 significance threshold. Distance costs emerged as the strongest

The significance of the regression coefficients was evaluated at the 5% level (p < 0.05). Furthermore,

multicollinearity was assessed using the Variance Inflation Factor (VIF). The obtained VIF values were below

the commonly accepted threshold of 5, indicating that multicollinearity was not a concern and that the estimated

coefficients can be interpreted reliably.