| 中国省际贸易矩阵的估计与应用 |
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| 引用本文： | 王涛等. 中国省际贸易矩阵的估计与应用[J]. 统计研究, 2019, 36(4): 60-70. DOI: 10.19343/j.cnki.11-1302/c.2019.04.006 |
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| 作者姓名： | 王涛等 |
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| 摘 要： | 基于2012年中国31省市的投入产出表，借鉴国内资金流量表、投入产出分析方法和社会核算矩阵理论编制了中国省际贸易矩阵，估计和分析了各地区省际间贸易往来规模及特征，并进行了各地区贸易往来影响效应的比较。结果发现：北京、海南等省际贸易依存度较高，四川、山东等省内贸易比例较大，江苏、北京等省际贸易总量较大，而青海、西藏等省际贸易总量较小；北京、上海等发达省份之间的贸易往来较为密切，同时一些中部省份是贸易流入的主要地区；北京、上海等呈现较强的影响力和感应度，浙江、江苏等沿海省份有着较强的感应度和较弱的影响力，宁夏、陕西等西部省份呈现较强影响力和较弱的感应度。
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| 关 键 词： | 投入产出表 SAM 省际贸易矩阵 RAS 资金流量表 |
Estimation and Application of China's Interprovincial Trade Matrix |
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| Wang Tao et al.. Estimation and Application of China's Interprovincial Trade Matrix[J]. Statistical Research, 2019, 36(4): 60-70. DOI: 10.19343/j.cnki.11-1302/c.2019.04.006 |
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| Authors: | Wang Tao et al. |
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| Abstract: | Based on the input-output tables of 31 provinces in China in 2012, using domestic capital flow tables, input output methods and social accounting matrix theory for reference, the inter-provincial trade matrix of China is compiled. The scale and characteristics of inter-provincial trade exchanges in different regions are estimated and analyzed, and the effects of inter-provincial trade exchanges in different regions are compared. The results show that: inter-provincial trade in Beijing and Hainan was highly dependent, while intra-provincial trade in Sichuan and Shandong was relatively large; the total volume of inter-provincial trade in Jiangsu, Beijing was larger, while that in Qinghai and Tibet was smaller; the trade between developed provinces such as Beijing and Shanghai was relatively close, while some central provinces were the main areas of trade inflows; Beijing and Shanghai had strong influence and response, Zhejiang, Jiangsu and other coastal provinces had strong response and weak influence, while Ningxia, Shaanxi and other western provinces showed strong influence and weak response. |
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| Keywords: | Input Output Table SAM Interprovincial Trade Matrix RAS Flow of Funds Table |
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