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基于假设抽取法和复杂网络分析的中国省际部门隐含 CO2 净转移分析

Inter-provincial sectoral embodied CO net-transfer analysis in China based on hypothetical extraction method and complex network analysis.

机构信息

School of Economics and Management, China University of Geosciences, Beijing 100083, China; Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources of the People's Republic of China, Beijing 100083, China.

School of Economics and Management, China University of Geosciences, Beijing 100083, China; The College of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China; Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources of the People's Republic of China, Beijing 100083, China.

出版信息

Sci Total Environ. 2021 Sep 10;786:147211. doi: 10.1016/j.scitotenv.2021.147211. Epub 2021 Apr 21.

Abstract

To address the CO emissions issue, China promised to increase its nationally determined contributions, trying to reach a CO emissions peak by 2030. For optimizing emission reduction policies, it is important to clarify the CO linkage structure and transfer characteristics. Previous research mainly focused on the calculation and comparison of CO linkage at the national level or the regional level and lacked inter-provincial sector-sector transfer analysis. This study uses hypothetical extraction method (HEM) to calculate the inter-provincial sectoral linkages of embodied CO in 2012 and 2015, providing a new perspective for sectoral CO linkage studies in China. We use net transfer to reveal the impact of provincial trade on the embodied CO emissions, and identify key CO emitter sectors. Combined with complex networks, we describe the clustering feature visualized and identify the transfer media sectors. The results are as follows: (1) the key sectors with large linkage are mainly the heavy industries located in North China. The electricity industry has the largest net CO outflow as the energy supplier, whereas the construction industry has the largest net inflow as the driving sector. (2) The CO transfer networks present closely connected and spatial clustering features, reflecting the embodied CO linkage between geographically adjacent sectors closer. (3) The important media sectors are mostly located in northwest China with small industrial scale and linkage degrees, such as the transport equipment industry in Shanxi. Emission reduction policies should be overall planned and tailored to local conditions. Consequently, possible policy implications of the results are discussed, which could provide additional insights for CO mitigation.

摘要

为了解决 CO 排放问题,中国承诺增加其国家自主贡献,争取到 2030 年达到 CO 排放峰值。为了优化减排政策,重要的是要明确 CO 关联结构和转移特征。以前的研究主要集中在国家或地区层面的 CO 关联的计算和比较上,缺乏省际部门间转移分析。本研究使用假设提取方法(HEM)来计算 2012 年和 2015 年体现 CO 的省际部门关联,为中国的部门 CO 关联研究提供了新的视角。我们使用净转移来揭示省级贸易对体现 CO 排放的影响,并确定关键的 CO 排放部门。结合复杂网络,我们描述了可视化的聚类特征,并确定了转移媒介部门。结果如下:(1)具有较大关联的关键部门主要是位于华北地区的重工业。电力行业作为能源供应商,具有最大的净 CO 流出量,而建筑行业作为驱动部门,具有最大的净流入量。(2)CO 转移网络呈现出紧密连接和空间聚类的特征,反映了地理上相邻部门之间更紧密的体现 CO 关联。(3)重要的媒介部门主要位于工业规模和关联度较小的西北地区,如山西的运输设备行业。减排政策应统筹规划,因地制宜。因此,讨论了结果的可能政策影响,这可为 CO 减排提供更多的见解。

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