Research on the Economic Benefits of Supply Chain Business Process Modeling for the China-Europe Railway Express in the China-Belarus Industrial Park: A Quantitative Assessment Based on Logistics Efficiency Improvement

Abstract

As the core vehicle of the "Belt and Road" initiative, the China-Europe Railway Express has profoundly transformed the operation model of transnational supply chains by reconstructing the Eurasian continental logistics network. Taking the China-Belarus Industrial Park as a typical case, this study constructs a supply chain business process framework based on the SCOR model and systematically evaluates the economic impact of the China-Europe Railway Express on supply chain optimization in the park during 2015-2022 by employing quantitative methods such as DEA efficiency evaluation, difference-in-differences (DID), cost-benefit analysis, and CGE simulation. The study finds that:
1.Logistics efficiency has been significantly improved: average transportation time reduced by 48.3% (32.5 days to 16.8 days), unit logistics cost decreased by 32.7% (280 USD to 188 USD/ton), and on-time performance rate increased to 95.6% (+22.3 percentage points).
2.Quantitative results of economic benefits:
Direct cost savings of $110.4 million (cumulative 2015-2022)
Time value of income: $6.192 million
Trade growth contributed $280 million
Industrial cluster effect drives $1.2 billion in investment
3.Heterogeneity analysis revealed that cost savings accounted for 35% in electronics enterprises, while biopharmaceutical companies reduced quality losses by 20% due to improved reliability.
4.CGE simulation prediction: By 2030, a 50% increase in train frequency would generate an additional economic benefit of $320 million.
This study innovatively combines business process modeling with empirical analysis of multi-method integration, providing micro-level decision support for "Belt and Road" logistics cooperation and offering a new perspective for global supply chain resilience research.