Trade Costs and Facilitation 2000-2001 - Argentina, Australia, Austria...and 70 more

Abstract
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The relationships between trade facilitation, trade flows, and capacity building are complex and challenging to assess, both empirically and in implementation. This working paper measures and estimates the relationship between trade facilitation and trade flows across 75 countries in global trade, considering four important categories: Port efficiency, customs environment, regulatory environment, and service sector infrastructure. A gravity model is employed that accounts for bilateral trade flows in manufactured goods in 2000-01 between the 75 countries, using traditional factors such as GDP, distance, language, and trade areas, and is augmented by the trade facilitation measures in the four categories for each country.

The data is organized such that unit of observation is a pair of importing and exporting countries. The major sources of data are, the Commodity and Trade Database(COMTRADE) of the United Nations Statistics Division for trade data, the Trade Analysis and Information System (TRAINS) of the United Nations Conference on Trade and Development(UNCTAD) for tariff data, the World Development Indicators published by the World Bank for the data of gross national product(GNP) and per capita GNP, and 3 country surveys for trade facilitation indicator (see the data description document for detail).

Kind of data
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Aggregate data [agg]

Mode of data collection
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Other [oth]

摘要
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贸易便利化、贸易流量与能力建设之间的关系错综复杂，既难以从实证角度评估，也难以在实施过程中进行判断。本工作论文对全球贸易中75个国家之间的贸易便利化与贸易流量之间的关系进行了测量与估算，考虑了四个重要的类别：港口效率、海关环境、监管环境及服务行业基础设施。采用重力模型，该模型考虑了2000-01年间75个国家之间制造业的双边贸易流量，并采用了传统因素如国内生产总值（GDP）、距离、语言和贸易区域等，同时通过每个国家的四个类别中的贸易便利化措施进行了补充。

数据组织方式是以进出口国家对为单位进行观测。主要数据来源包括：联合国统计局的商品与贸易数据库（COMTRADE）提供的贸易数据、联合国贸易与发展会议（UNCTAD）的贸易分析与信息系统（TRAINS）提供的关税数据、世界银行发布的世界发展指标所提供的国民生产总值（GNP）及人均GNP数据，以及三项关于贸易便利化指标的国家调查（具体详情请参阅数据描述文档）。

数据类型
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综合数据 [agg]

数据收集方式
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其他 [oth]