China's carbon dioxide emission and driving factors: A spatial analysis

China's carbon dioxide emission and driving factors: A spatial analysis
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中国二氧化碳排放及驱动因素:空间分析

DOI:
10.1016/j.jclepro.2018.11.185
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发表时间:
2019-02
影响因子:
11.1
通讯作者:
Ze He
Ze He
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Yu Yang;Yannan Zhou;Jessie Poon;Ze He

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关于中国高水平的二氧化碳(CO2)排放量的文献正在不断涌现。然而,政策仍然难以捉摸,部分原因是相互矛盾的实证研究结果和对中国复杂的空间地形关注不够。本文对中国的CO2强度(CEI)进行了基于六个主要驱动因素的空间分析,并表明针对区域的战略可能更有效地解决CEI。具体而言,空间自回归模型的结果表明,驱动因素在不同地区之间存在显着差异:通过替代能源改变能源生产结构可能对西北和长江中游地区产生更大的影响,但对东南沿海地区的影响较小。人口、城市化、产业结构和技术的变化更有可能导致东南沿海地区的CEI降低。在区域层面上,黄河中游和东北地区的空间溢出效应更为间接和广泛。但对长江中游、南、北、东沿海地区居民的影响更为直接和有限。(C)2018爱思唯尔有限公司版权所有。
A burgeoning literature is emerging on China's high levels of carbon dioxide (CO2) emission. Yet policies remain elusive in part because of conflictual empirical findings and insufficient attention to China's complex spatial terrain. This paper conducts a spatial analysis of China's CO2 intensity (CEI) based on six major drivers, and shows that region-targetted strategies may be more effective in tackling CEI. Specifically, results from spatial autoregressive models indicate that drivers vary significantly across regions: changing the energy production mix through alternative sources of energy is likely to have a stronger effect on the Northwest and Middle Yangtze River but it is less effective for the South and East Coasts. Changes in population, urbanization, industrial structure and technology are more likely to lead to CEI reduction for South and East Coasts. Moreover at the regional level, spatial effects are more indirect and widespread spilling over to neighboring regions for the Middle Yellow River and Northeast. But they are more direct and contained affecting residents within the region for the Middle Yangtze River, South, North and East Coasts. (C) 2018 Elsevier Ltd. All rights reserved.
DOI: 10.1023/b:poen.0000039950.85422.eb
发表时间: 2004-09-01
影响因子: 3.3
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