The Effect Of Blockchain Technology Adoption On Trade Competitiveness And Efficiency
- 주제(키워드) blockchain , international trade , trade competitiveness , trade efficiency
- 발행기관 고려대학교 국제대학원
- 지도교수 Jeonghun Oh
- 발행년도 2024
- 학위수여년월 2024. 8
- 학위명 석사
- 학과 및 전공 국제대학원 국제학과
- 세부전공 국제통상전공
- 원문페이지 57 p
- 실제URI http://www.dcollection.net/handler/korea/000000288380
- UCI I804:11009-000000288380
- 본문언어 영어
초록/요약
This study analyzes the impact of cryptocurrency implementation on trade volume and logistics performance using data from 121 countries from 2020 to 2023. The research employs the Pooled-OLS model, fixed-effects models, and random-effects models to examine the relationship between cryptocurrency adoption ranking, trade volume, and logistics performance. The analysis results indicate that while cryptocurrency adoption positively impacts logistics performance, it only increases trade volume in countries with high foreign investment. Additionally, when the data is divided and analyzed by five continents, cryptocurrency adoption is found to enhance trade volume in two continents and improve logistics performance scores in four continents. Furthermore, the control variables of trade freedom and business freedom consistently show significant positive correlations with trade volume, highlighting the importance of a favorable regulatory environment for business operations. These findings suggest that open trade policies and supportive corporate infrastructure enhance trade efficiency and competitiveness. This study emphasizes the impact of cryptocurrency adoption on the trade environment and underscores the critical role of regulatory and policy environments in fostering trade activities and integrating into the global market.
more목차
Ⅰ. Introduction 1
1.1 Background 1
1.2 Contribution 3
Ⅱ. Literature Review 4
III. Case Study 9
3.1 South Korea: UNI-PASS & EODES 9
3.2 Business: Cargo X 10
3.3 Business: Walmart China 11
3.4 Consortium: GSBN 12
3.5 Association: India Ports Association (IPA) 13
IV. Methodology 14
4.1 Model Specification and Data Selection 14
4.1.1 Impact on Trade Competitiveness 15
4.1.2 Impact on Trade Efficiency 17
4.2 Variable Description 19
4.3 Summary Statistics 22
V. Results 23
5.1 Findings 38
VI. Recommendation 40
6.1 Economic Recommendation 40
6.2 Technological Recommendation 40
6.3 Practical Recommendation 41
VII.Conclusion 42
7.1 Further Research 43
Bibliography 45
