摘要
2020年以来国家先后出台多项政策将易货贸易纳入国家顶层设计,而大数据时代也使得数据分析技术与易货贸易产业竞争力评价指标体系创新融合成为可能。文章利用波特钻石模型对大数据背景下易货贸易产业竞争力的影响因素进行分析,初步构建了易货贸易产业竞争力评价指标体系,运用Delphi法论证其指标体系的科学性并计算各级指标权重,最后围绕如何有效提升易货贸易产业竞争力水平,构筑易货贸易产业生态圈,推进传统外贸转型升级,提出了大数据背景下易货贸易可持续发展的若干建议。
Since 2020,the state has introduced a number of policies to incorporate barter trade into the national toplevel design,and the era of big data has also made it possible to integrate data analysis technology with the innovation of the competitiveness evaluation index system of barter trade.The article employs the Porter Diamond Model to explore the influencing factors of barter trade competitiveness in the context of big data,constructs its evaluation index system,and applies the Delphi method to verify the reliability of the system and calculate the weight of indicators at all levels,in the end,some suggestions for sustainable development are put forward focusing on strengthening the competitiveness of the industry,building a sound ecosystem and accelerating the transformation and upgrading of traditional foreign trade.
作者
王楠
单莉萍
Wang Nan;Shan Liping(Shandong Vocational University of Foreign Affairs,Weihai 264504)
出处
《中阿科技论坛(中英文)》
2023年第2期28-32,共5页
China-Arab States Science and Technology Forum
基金
山东外事职业大学2022年度校级重点科研项目“大数据背景下易货贸易产业竞争力评价指标体系构建研究——以山东威海地区为例”(2022ZD05)。
关键词
易货贸易
大数据
产业竞争力
德尔菲法
Barter trade
Big data
Industrial competitiveness
Delphi method