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中国—东盟数字经济合作水平及潜力研究 被引量:8

A Study of the Level and Potential of China-ASEAN Digital Economy Cooperation
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摘要 运用事件赋值法分析中国—东盟数字经济合作的各子领域,并构建合作指数测度其合作水平和潜力。结果发现:当前的中国—东盟数字经济合作以数字经济政策沟通为主,平台建设和人文交流次之,数字基建合作时间跨度较长,数字技术应用合作增速较快,资金合作相对较少;与经济相对发达的新加坡、泰国、马来西亚的合作集中在平台建设和数字技术应用,与邻近国家越南、老挝、柬埔寨、缅甸等开展数字基建合作较多;合作潜力从大到小依次为马来西亚、泰国、菲律宾、新加坡、印尼、越南,东道国的数字基建水平、电子参与度及与中国签订合作协定具有显著的合作促进效应,而网络就绪度、电子政务水平、开办外资电商企业审批时间却成为合作阻力;未来的合作应考虑各国的合作潜力、合作条件,明确各国的合作重点领域和内容,差异化推进。 This paper analyzes the each subfield of China-ASEAN digital economy cooperation through the event assignment method and constructs a cooperation index to measure their level and potential of cooperation.The results shows that:(1)China-ASEAN digital economic cooperation mainly focused on digital economic policy communication,followed by platform construction and people-to-people exchanges,digital infrastructure cooperation is more persistent,and digital technology application cooperation has grown rapidly,while financial cooperation is still limited.(2)The cooperation with relatively developed countries(Singapore,Thailand and Malaysia)focuses on platform construction and digital technology application,while the cooperation with neighboring countries(Vietnam,Laos,Cambodia and Myanmar)focuses on digital infrastructure.(3)The cooperation potential in descending order is Malaysia,Thailand,Philippines,Singapore,Indonesia and Vietnam.And it finds that the levels of digital infrastructure,eparticipation and cooperation agreements with China have positive effects,while network readiness,e-government level,and approval time for foreign e-commerce enterprises have negative effects.(4)In the future,China should cooperate in differentiated fields and contents according to countries'cooperation potential and conditions respectively.
作者 许翔宇 杜雨珊 许培源 Xu Xiang-yu;Du Yu-shan;Xu Pei-yuan
出处 《亚太经济》 CSSCI 北大核心 2023年第2期34-45,共12页 Asia-Pacific Economic Review
基金 福建省科技计划项目“中国—东盟数字经济合作重点及潜力研究”(2022R0045)。
关键词 中国—东盟数字经济合作 合作水平 合作潜力 影响因素 China-ASEAN Digital Economy Cooperation Cooperation Level Cooperation Potential Influence Factors
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