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产品空间结构与农产品比较优势动态--基于高维面板数据的分析与预测 被引量:19

Product Space Structure and Comparative Advantages Dynamic of Agricultural Products: An Analysis and Prediction Based on High-Dimensional Panel Data
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摘要 本文从产品空间理论出发,以2000-2010年52国的65种细分农产品数据为样本,探讨了农产品空间的分布形式,建立高维面板数据模型检验了产品空间结构与比较优势变动的关系,并对中国农产品比较优势培育目标的选择进行了探讨。研究发现:农产品空间分布是不均匀的,不同品种间的距离有差异;产品密度高对农产品比较优势的变动具有正面影响。本文认为,对农产品比较优势变动进行干预和引导,必须遵循此规律,依据比较劣势产品密度的大小来依次选择合适目标,才能有效的在更多农产品上实现比较优势。 Most of China' s agricultural products have lost comparative ad vantage, which goes against the development of agricultural economy. Recognis ing the inherent law of product dynamic comparative advantages is the precondi tion of reversing this situation. Based on product space theory, employing a data sample of 65 types of agricultural products in 52 countries from 2000 to 2010, this paper probes into the form of agricultural products space, examines the rela tionship between agricultural products space structure and dynamic comparative ad vantage based on the HighDimensional panel data model, and analyses how to select the cultivation target of China agricultural products with comparative advan tage. The major findings are: agricultural products space is heterogeneous; prod uct density is positively related to dynamic comparative advantage of agricultural products; the products owned high proximity to the collection of advantage prod ucts will acquire comparative advantage easily. Intervening and vectoring the dy namic comparative advantage of agricultural products on the basis of inherent law and choosing applicable product in line with its density will promote more agricultural products to achieve comparative advantage.
作者 万金 祁春节
出处 《国际贸易问题》 CSSCI 北大核心 2012年第9期28-41,共14页 Journal of International Trade
基金 国家现代农业(柑橘)产业技术体系(MATS)专项经费资助(编号CARS-07-07B) 中央高校基本科研业务费专项资金资助(项目批准号2011PY060)资助
关键词 产品空间 生产要素差异 比较优势动态 培育目标选择 产品密度 Product space Production factor differences Comparative advantage Dynamic Cultivation target selection
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参考文献12

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