| 中国二氧化碳排放影响因素分析：基于省级面板数据研究 |
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| 引用本文： | 马晓钰,郭莹莹,李强谊.中国二氧化碳排放影响因素分析：基于省级面板数据研究[J].资源与产业,2013,15(5):94-99. |
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| 作者姓名： | 马晓钰 郭莹莹 李强谊 |
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| 作者单位： | （新疆大学 经济与管理学院，新疆〓乌鲁木齐〓830046） |
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| 摘 要： | 通过利用我国30个省区1999—2010年12年的面板数据，估算我国30个省区每年的CO2排放量，综合运用静态与动态面板数据模型，并运用工具变量控制这两种模型的内生性，实证研究我国CO2排放的影响因素。结果表明：人均GDP与人均CO2排放量之间存在倒U型曲线关系，能源消费结构、城市化水平和产业结构是促进我国CO2排放的重要因素。上一期人均CO2排放程度对本期人均CO2排放程度有着明显的正向关系，随着上一期人均CO2排放强度的加大，本期的人均CO2排放强度也会随之增加。研发强度和贸易开放的提高会抑制我国CO2排放。
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| 收稿时间： | 2013-06-06 |
| 修稿时间： | 2013-07-01 |
FACTORS OF CHINA CARBON DIOXIDE EMISSION BASED ON PROVINCIAL PANEL DATA |
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| MA Xiao yu,GUO Ying ying,LI Qiang yi.FACTORS OF CHINA CARBON DIOXIDE EMISSION BASED ON PROVINCIAL PANEL DATA[J].Resources & Industries,2013,15(5):94-99. |
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| Authors: | MA Xiao yu GUO Ying ying LI Qiang yi |
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| Affiliation: | (School of Economics and Management, Xinjiang University, Urumqi 830046, China) |
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| Abstract: | This paper, based on Chinas 30 provinces panel data from 1999—2010, estimates their carbon emission quantity per year, and applies static and dynamic panel data models to study through cases the factors of carbon emission. The results show a top down U curve between carbon per capita and carbon emission per capita. The major factors are composed of energy consumption structure, urbanization level and industrial structure. The current carbon dioxide emission per capita rises with the last emission. Intensifying research & development and trade openness can suppress carbon dioxide emission. |
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| Keywords: | carbon dioxide panel data static model dynamic model |
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