中国与东盟农产品贸易效率的智能评价:一种带降噪的随机前沿方法

IF 1.5 Q2 COMPUTER SCIENCE, THEORY & METHODS International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-01-01 DOI:10.3233/JIFS-189928
Shuaiwen Wang
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引用次数: 0

摘要

作为世界上最大的发展中国家间自由贸易区,中国-东盟自贸区已经走过了15年的历程,以降关税为核心的中国-东盟自贸区合作框架对区域贸易的激励作用减弱,“21世纪海上丝绸之路”战略为中国-东盟自贸区升级发展提供了新的机遇。本文基于随机前沿重力模型,引入随机扰动项,克服宏观统计数据不可避免的噪声问题,对中国与东盟农产品贸易效率进行了估算。结果表明,中国与东盟国家之间的贸易促进潜力得到充分挖掘。在此基础上,提出要借助“一带一路”平台,加强基础设施建设,畅通海上贸易通道。加强沟通对话,削弱非关税壁垒对贸易的影响,利用上海自贸区试验田提升中国农产品贸易的国际竞争力。
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Intelligent evaluation of trade efficiency of agricultural products between China and ASEAN: An stochastic frontier approach with noise reduction
As the world’s largest free trade area among developing countries, the China-ASEAN Free Trade Area has gone through 15 years, and the China-ASEAN (Association of Southeast Asian Nations) Free Trade Area cooperation framework with tariff reduction as the core has diminished incentive effects on regional trade, the “21st Century Maritime Silk Road” strategy provide new opportunities for the upgrading and development of the China-ASEAN Free Trade Area. Based on the stochastic frontier gravity model, the random disturbance term was introduced to overcome the inevitable noise problem of macro statistical data, the trade efficiency of agricultural products between China and ASEAN were estimated in this study. The result shows that the potential for trade promotion between China and ASEAN countries is fully tapped. Based on this, it is proposed to strengthen infrastructure construction and smooth maritime trade channels with the help of the “One Road” platform. Strengthen communication and dialogue to weaken the impact of non-tariff barriers on trade, and use the Shanghai Free Trade Zone test plot to enhance the international competitiveness of Chinese agricultural product trade.
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来源期刊
CiteScore
2.80
自引率
23.10%
发文量
31
期刊介绍: The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems. The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int. J. Fuzzy Log. Intell. Syst. Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar. The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.
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