An empirical research on the influencing factors of regional CO2 emissions: Evidence from Beijing city, China

北京 人均 温室气体 库兹涅茨曲线 城市化 能量强度 驱动因素 第三产业 经济 能源消耗 人口 自然资源经济学 中国 发射强度 经济增长 农业经济学 经济 地理 工程类 电气工程 社会学 人口学 生物 考古 激发 生态学
作者
Zhaohua Wang,Fangchao Yin,Yixiang Zhang,Xian Zhang
出处
期刊:Applied Energy [Elsevier BV]
卷期号:100: 277-284 被引量:387
标识
DOI:10.1016/j.apenergy.2012.05.038
摘要

In order to further study the realization of carbon intensity target, find the key influencing factors of CO2 emissions, and explore the path of developing low-carbon economy, this paper empirically studied the influences of urbanization level, economic level, industry proportion, tertiary industry proportion, energy intensity and R&D output on CO2 emissions in Beijing using improved STIRPAT (stochastic impacts by regression on population, affluence and technology) model. The model is examined using partial least square regression. Results show that urbanization level, economic level and industry proportion positively influence the CO2 emissions, while tertiary industry proportion, energy intensity and R&D output negatively do. Urbanization level is the main driving factor of CO2 emissions, and tertiary industry proportion is the main inhibiting factor. In addition, along with the growth of per capita GDP, the increase of CO2 emissions does not follow the Environmental Kuznets Curve model. Based on these empirical findings and the specific circumstances of Beijing, we provide some policy recommendations on how to reduce carbon intensity. Beijing should pay more attention to tertiary industry and residential energy consumption for carbon emission reduction. It is necessary to establish a comprehensive evaluation index of social development. Investing more capital on carbon emission reduction science and technology, and promoting R&D output is also an efficient way to reduce CO2 emissions.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
2秒前
2秒前
123发布了新的文献求助10
4秒前
6秒前
欢呼寻冬完成签到 ,获得积分10
7秒前
nj完成签到,获得积分10
7秒前
momo发布了新的文献求助10
7秒前
汌舟完成签到,获得积分10
8秒前
启点发布了新的文献求助10
8秒前
9秒前
酷波er应助蔡翌文采纳,获得10
9秒前
9秒前
Akim应助爱哭的小女孩采纳,获得10
10秒前
方知完成签到,获得积分20
12秒前
ZHAO完成签到,获得积分10
17秒前
星辰完成签到 ,获得积分10
18秒前
18秒前
ding应助科研通管家采纳,获得10
20秒前
Youdge应助科研通管家采纳,获得10
20秒前
上官若男应助科研通管家采纳,获得10
21秒前
21秒前
MchemG应助科研通管家采纳,获得10
21秒前
czh应助科研通管家采纳,获得10
21秒前
所所应助科研通管家采纳,获得10
21秒前
MchemG应助科研通管家采纳,获得10
21秒前
MchemG应助科研通管家采纳,获得10
21秒前
丘比特应助科研通管家采纳,获得10
21秒前
所所应助科研通管家采纳,获得10
21秒前
Lucas应助科研通管家采纳,获得10
21秒前
21秒前
21秒前
热心市民小红花应助哈哈采纳,获得50
22秒前
NexusExplorer应助Skuld采纳,获得10
22秒前
starry完成签到 ,获得积分10
23秒前
大个应助kaoyikaoli采纳,获得10
23秒前
BIT_lulu完成签到,获得积分10
24秒前
25秒前
Yueee发布了新的文献求助10
25秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3988920
求助须知:如何正确求助?哪些是违规求助? 3531290
关于积分的说明 11253247
捐赠科研通 3269903
什么是DOI,文献DOI怎么找? 1804830
邀请新用户注册赠送积分活动 882027
科研通“疑难数据库(出版商)”最低求助积分说明 809052