中国碳排放的空间关联及其解释——基于社会网络分析法

发布时间：2018-02-27 23:48

  本文关键词： 碳排放 空间关联 社会网络分析 QAP　出处：《软科学》2017年04期 　论文类型：期刊论文

【摘要】：利用社会网络分析方法(SNA)全新解构了碳排放的空间关联特征,并基于QAP技术揭示了碳排放空间关联的主要影响因素。研究发现:碳排放呈现出复杂的多线程空间网络关联关系。上海、天津、江苏、浙江、广东和福建等东部发达地区的省份处于网络的中心地位,接收了较多的关联关系,甘肃、青海、新疆和贵州等西部欠发达地区省份发送了较多的关联关系,其他省份则主要起到了"传输"和"桥梁"的作用。碳排放可以划分为"双向溢出""净受益""净溢出"以及"经纪人"四个功能板块。地理因素、地区间经济发展差异以及环境规制差异对碳排放空间关联具有显著正向影响。
[Abstract]:A new method of social network analysis is used to deconstruct the spatial correlation characteristics of carbon emissions. Based on QAP technology, the main influencing factors of spatial correlation of carbon emissions are revealed. Provinces in the eastern developed regions such as Guangdong and Fujian are at the center of the network and have received more connections, while provinces in the less developed western regions such as Gansu, Qinghai, Xinjiang and Guizhou have sent more connections. Other provinces play a major role as "transport" and "bridge". Carbon emissions can be divided into four functional blocks: "two-way spillover", "net benefit" and "net spillover" and "broker". Regional differences in economic development and environmental regulation have significant positive effects on spatial correlation of carbon emissions.
【作者单位】： 重庆大学公共管理学院;重庆师范大学经济与管理学院;
【基金】：重庆市教委项目(16SKDJ015、153289) 重庆市研究生科研创新项目(CYB15001)
【分类号】：X321
，

本文编号：1544849