引用本文:钱萍, 马彩虹.中国能源消费碳排放时空动态变化[J].西南大学学报(自然科学版),2019,41(10):93~100
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中国能源消费碳排放时空动态变化
钱萍, 马彩虹1,2
1. 宁夏大学 资源环境学院, 银川 750021;2. 宁夏(中阿)旱区资源评价与环境调控重点实验室, 银川 750021
摘要:
运用碳排放计算方法对1995-2015年中国能源消费碳排放进行核算,同时引入碳排放压力指数分析碳排放压力时空动态变化特征.结果表明:近21年来,中国能源消费碳排放总量由38.57亿t增至125.16亿t,人均碳排放由3.23 t增至9.15 t,碳排放强度由6.7 t/万元下降至2.62 t/万元,碳排放压力指数由0.13波动增至0.40,从较低等级(Ⅰb)上升至中下等级(Ⅱa);空间分布上,各省碳排放压力具有显著差异,2015年沪、津、鲁、苏、晋、京、辽、宁、冀、浙、豫为很高等级(Ⅲb),粤、蒙、陕、皖为较高等级(Ⅲa),闽、琼、渝、鄂为中上等级(Ⅱb),贵、新、吉、湘、赣为中下等级(Ⅱa),桂、黑、甘、川、青、云为较低等级(Ⅰb).
关键词:  能源消费  碳排放  碳排放压力  时空动态
DOI:10.13718/j.cnki.xdzk.2019.10.013
分类号:X22
基金项目:国家自然科学基金项目(41761034);宁夏大学引进人才科研启动项目(BQD2016005).
Spatio-Temporal Dynamics of Carbon Emission of Energy Consumption in China
QIAN Ping, MA Cai-hong1,2
1. College of Resources and Environment, Ningxia University, Yinchuan 750021, China;2. Ningxia(China-Africa) Key Laboratory of Arid Land Resource Evaluation and Environmental Regulation, Yinchuan 750021, China
Abstract:
Using the computing method of carbon emission, this paper calculated the carbon emission of energy consumption in China from 1995 to 2015, and introduced the "index of carbon emission pressure" to analyze the spatio-temporal dynamics of carbon emission pressure. The results showed that during the 21 years studied, energy consumption carbon emission increased from 38.57×108t to 125.16×108t in China. Carbon emission per capita increased from 3.23 t to 9.15 t. Carbon emission intensity decreased from 6.7 t/104 Yuan to 2.62 t/104 Yuan. The index of carbon emission pressure increased from 0.13 to 0.40 and from lower grade (Ⅰb) to below-medium grade (Ⅱa). In spatial distribution, the provinces of China varied significantly in the pressure of carbon emission. In 2015, the carbon emission pressure of Shanghai, Tianjin, Shandong, Jiangsu, Shanxi, Beijng, Liaoning, Ningxia, Hebei, Zhejiang and Henan was of very high grade (Ⅲb), that of Guangdong, Inner Mongolia, Shaanxi and Anhui was of higher grade (Ⅲa), that of Fujian, Hainan, Chongqing and Hubei were of above-average grade (Ⅱa), that of Guizhou, Xinjiang, Jilin, Hunan and Jiangxi was of below-medium grade (Ⅱb), and that of Guangxi, Heilongjiang, Gansu, Sichuan, Qinghai and Yunnan was of lower grade (Ⅰb).
Key words:  energy consumption  carbon emission  carbon emission pressure  spatio-temporal dynamics
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