摘要：本文运用1994—2014年中国省份对外贸易隐含碳排放数据，使用修正的引力模型测算了中国省份对外贸易隐含碳排放的空间关联关系，并且运用社会网络分析方法对中国省份对外贸易隐含碳排放空间关联网络的结构进行了实证考察。研究结果显示：①从整体网络来看，中国省份对外贸易隐含碳排放空间关联呈现出复杂的、多线程的网络结构，网络密度变化不明显，这说明中国省份对外贸易隐含碳排放空间关联网络的网络紧密程度逐年提高，网络效率先上升再下降，网络等级度逐年降低。②从个体中心性来看，河南、湖北、陕西、湖南、山东的点度数中心度较高，这说明这些省域在碳排放空间关联网络,控制能力较强；山东、河南、陕西、广东、湖北的中介中心度较高。③从块模型结果看：第一板块是“双向溢出板块”；第二板块是“经纪人”板块；第 三板块是“净受益”板块；第四板块是“净溢出”板块。④对外贸易中隐含的碳排放空间关联网络的影响因素分析结果显示：中国对外贸易中隐含的碳排放的数量巨大。93608

毕业论文关键词：对外贸易隐含碳排放，社会网络分析，空间关联，QAP

Abstract: Based on the implied carbon emissions data of China's foreign trade in 1994 and 2014, this paper uses the modified gravitational model to measure the spatial correlation of the implied carbon emissions of China's foreign trade, and uses the social network analysis method to analyze the relationship between China's foreign trade And the network structure of the implicit carbon emission spatial correlation network is studied。 The results show that: (1) the spatial correlation of implicit carbon emissions of China's foreign trade shows a complex and multi-threaded network structure, and the network density is not obvious, which indicates that the spatial correlation of the implied carbon emissions in China's provinces Network network tightness increased year by year, the network efficiency to rise and then decline, the network level is low。 (2) The centrality of points in Henan, Hubei, Shanxi, Hunan and Shandong is higher, which shows that these provinces have stronger control ability in the spatial correlation network of carbon emissions; Henan, Liaoning, Shaanxi, Shandong, Guangdong, Hubei, a higher degree of intermediary center。 (3) From the block model results: the first plate is the "two-way overflow plate"; the second plate is the "broker" plate; third plate is the "net benefit" plate; fourth plate is "net overflow" plate。 (4) Analysis of the influencing factors of the implicit carbon emissions spatial correlation network of foreign trade shows that there is a huge amount of hidden carbon emissions in China's foreign trade。

Key words: external trade implied carbon emission,social network analysis,spatial association,QAP

目  录

1 引言 5

2 文献综述 5

3 方法和数据 6

3。1 中国省份对外贸易隐含碳排放的空间关联关系的识别 6

3。2 网络分析方法 7

3。3 样本数据 7

4 中国省份对外贸易隐含碳排放的空间关联网络的结构特征 8

4。1整体网络特征分析 8

4。2 个体中心性分析 10

4。3块模型分析 12

5 中国省份对外贸易隐含碳排放的空间关联网络的影响因素分析 中国省份对外贸易隐含碳排放的空间关联网络及其解释:http://www.youerw.com/jingji/lunwen_201486.html