This dataset contains results from a comparative simulation of blockchain-enabled trade systems and traditional trade mechanisms across five global trade hubs: the USA, China, Germany, Japan, and India. The dataset includes information on 10,000 simulated transactions, focusing on key metrics such as processing time, transaction costs, failure rates, and resilience to risk events.

DOI Link: 
10.21227/an9h-7138
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Dataset Files

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[1] Jiale Quan, "Simulation data on blockchain for cross-border trade", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/an9h-7138. Accessed: Dec. 09, 2024.
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doi = {10.21227/an9h-7138},
url = {http://dx.doi.org/10.21227/an9h-7138},
author = {Jiale Quan },
publisher = {IEEE Dataport},
title = {Simulation data on blockchain for cross-border trade},
year = {2024} }
TY - DATA
T1 - Simulation data on blockchain for cross-border trade
AU - Jiale Quan
PY - 2024
PB - IEEE Dataport
UR - 10.21227/an9h-7138
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Jiale Quan. (2024). Simulation data on blockchain for cross-border trade. IEEE Dataport. http://dx.doi.org/10.21227/an9h-7138
Jiale Quan, 2024. Simulation data on blockchain for cross-border trade. Available at: http://dx.doi.org/10.21227/an9h-7138.
Jiale Quan. (2024). "Simulation data on blockchain for cross-border trade." Web.
1. Jiale Quan. Simulation data on blockchain for cross-border trade [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/an9h-7138
Jiale Quan. "Simulation data on blockchain for cross-border trade." doi: 10.21227/an9h-7138