Driving factors of carbon dioxide emissions in China: an empirical study using 2006-2010 provincial data
Driving factors of carbon dioxide emissions in China: an empirical study using 2006-2010 provincial data
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中国二氧化碳排放驱动因素——基于2006—2010年省际数据的实证研究
DOI：
10.1007/s11707-016-0557-4
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发表时间：
2017-03-01
影响因子：
2
通讯作者：
Chen, Bin
中科院分区：
文献类型：
--
作者：
Liu, Yu;Chen, Zhan-Ming;Chen, Bin
中国的快速城市化给环境和生态带来了越来越大的压力。在这项研究中，中国的二氧化碳排放量的时间和空间配置文件进行了分析，考虑到异质性的基础上集成的扩展随机影响，使用地理和时间加权回归模型的人口，富裕程度和技术。通过对2006-2010年中国30个省份的实证数据分析，确定了影响区域CO2排放的主要驱动因素为人口规模、城市化率、人均GDP、能源强度、产业结构、能源消费模式、能源价格和经济开放度。结果表明，中国农业产业化的驱动因素及其溢出效应具有明显的时空异质性。估计的时间和空间系数大部分与预期一致。根据研究结果，在设计不同地区实现二氧化碳减排目标的政策时，应考虑到时空异质性效应。
The rapid urbanization of China has increased pressure on its environmental and ecological well being. In this study, the temporal and spatial profiles of China's carbon dioxide emissions are analyzed by taking heterogeneities into account based on an integration of the extended stochastic impacts using a geographically and temporally weighted regression model on population, affluence, and technology. Population size, urbanization rate, GDP per capita, energy intensity, industrial structure, energy consumption pattern, energy prices, and economy openness are identified as the key driving factors of regional carbon dioxide emissions and examined through the empirical data for 30 provinces during 2006-2010. The results show the driving factors and their spillover effects have distinct spatial and temporal heterogeneities. Most of the estimated time and space coefficients are consistent with expectation. According to the results of this study, the heterogeneous spatial and temporal effects should be taken into account when designing policies to achieve the goals of carbon dioxide emissions reduction in different regions.