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

被引:44
|
作者
Yang, Yu [1 ,2 ]
Zhou, Yannan [1 ,2 ]
Poon, Jessie [3 ]
He, Ze [1 ,2 ]
机构
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
[3] SUNY Buffalo, Dept Geog, Buffalo, NY 14261 USA
基金
中国国家自然科学基金;
关键词
Carbon dioxide intensity; Spatial dependence; Spatial autoregressive models; Direct effect; Indirect effect; PEARL RIVER DELTA; CO2; EMISSIONS; ENERGY-CONSUMPTION; URBANIZATION PROCESS; PANEL; IMPACT; LEVEL; INTENSITY; POPULATION; INDUSTRIALIZATION;
D O I
10.1016/j.jclepro.2018.11.185
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:640 / 651
页数:12
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