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| 全球贸易隐含碳净转移的空间关联网络特征 | |
| 引用本文： | 李晖,刘卫东,唐志鹏.全球贸易隐含碳净转移的空间关联网络特征[J].资源科学,2021,43(4):682-692. |
| 作者姓名： | 李晖 刘卫东 唐志鹏 |
| 作者单位： | 1. 青岛大学经济学院,青岛 266061 2. 中国科学院地理科学与资源研究所,北京 100101 |
| 基金项目： | 科技部国家重点研发计划项目(2016YFA0602804) |
| 摘 要： | 贸易隐含碳问题是全球气候治理的重要内容之一,在国际视角下探讨全球贸易隐含碳转移的空间关联,对于践行多边主义,推动构建更加公平合理的全球气候治理模式具有重要意义。本文基于Eora多区域投入产出数据库,立足全球视角,构建了2000年与2015年包含185个国家/地区在内的全球贸易隐含碳净转移空间关联网络,选取多维度网络测度指标,综合研究全球贸易隐含碳排放网络全局性演化特点及网络板块角色功能特征。研究发现：①全球贸易隐含碳净转移网络连接稠密,空间关联溢出效应显著,网络核心边缘结构清晰;与2000年相比,2015年核心节点隐含碳净流入和净流出关系不平衡性加剧。②俄罗斯、沙特阿拉伯等资源能源型国家/地区的网络核心作用有所弱化,中国、印度、南非、哈萨克斯坦等新兴经济体在全球贸易隐含碳净转移网络中的枢纽和控制能力不断增强。参与全球生产分工体系已超越能源资源禀赋成为影响一国（地区）隐含碳净转移核心地位的重要因素。③全球贸易隐含碳净转移网络可划分为净溢出、双向溢出、经纪人和主受益4个板块。中国、一带一路沿线国家、东盟及周边一些国家/地区构成的双向溢出板块,对板块内部及其他板块隐含碳溢出效应显著,为全球贸易隐含碳净转移网络的发动机板块。本文可为推进形成各尽所能的碳减排方案,提升全球生产分工体系整体减排效率提供借鉴。 |
| 关 键 词： | 贸易隐含碳 增加值贸易 投入产出技术 社会网络分析 块模型 气候治理 |
| 收稿时间： | 2020-06-24 |
| 修稿时间： | 2021-01-30 |
Spatial correlation network of net carbon transfer in global trade |
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| LI Hui,LIU Weidong,TANG Zhipeng.Spatial correlation network of net carbon transfer in global trade[J].Resources Science,2021,43(4):682-692. | |
| Authors: | LI Hui LIU Weidong TANG Zhipeng |
| Institution: | 1. School of Economics, Qingdao University, Qingdao 266061, China 2. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China |
| Abstract: | Trade embodied carbon is one of the important contents of global climate governance. Exploring the spatial correlation of embodied carbon transfer in global trade from an international perspective is of great significance for practicing multilateralism and promoting the construction of a more fair and reasonable global climate governance model. Based on Eora multi-regional input-output database, this study constructed a spatial correlation network of net carbon transfer in global trade including 185 countries (regions) in 2000 and 2015, and used multi-dimensional network measurement indicators to comprehensively examine the characteristics of change of global trade embodied carbon emission network and the role and functional characteristics of network sectors. The results show that: (1) The global net carbon transfer network is densely connected, the spatial correlation is significant, the core-periphery structure of the network is clear, and the imbalance between net carbon inflow and outflow of the core nodes is aggravated. (2) The core position of resource-energy countries (regions) such as Russia and Saudi Arabia has weakened, while the role of emerging economies such as China, India, South Africa, and Kazakhstan as hubs and their control ability in the global net carbon transfer network has been enhanced. Participation in the global division of production system has surpassed energy and resource endowment to become an important factor affecting the core position of a country (region) in the global net carbon transfer network. (3) The net carbon transfer network of global trade can be divided into four sectors: net spillover, two-way spillover, broker, and main beneficiary. China and the Belt and Road, ASEAN, and many neighboring countries (regions) constitute the engine sector of the net carbon emissions transfer network of global trade, which has a significant two-way spillover effect within and on other sectors. The result of this study can be used as a reference for promoting the formation of carbon emission reduction schemes according to each individual country's ability and improving the overall emission reduction efficiency of the global value chain division system. |
| Keywords: | embodied carbon in trade value-added trade input-output technique social network analysis block model climate governance |
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