Region-county characteristic of spatial-temporal evolution and influencing factor on land use-related CO2 emissions in Chongqing of China, 1997–2015

除数指数 人均 驱动因素 环境科学 地理 市中心 中国 土地利用 能源消耗 温室气体 人口 自然地理学 环境工程 环境保护 农业经济学 能量强度 经济 土木工程 生物 工程类 生态学 人口学 社会学 考古
作者
Wei Cao,Xiaohui Yuan
出处
期刊:Journal of Cleaner Production [Elsevier]
卷期号:231: 619-632 被引量:42
标识
DOI:10.1016/j.jclepro.2019.05.248
摘要

The dependence of county industry on high CO2 emission industries makes it difficult to balance the development of county economy and CO2 emission reduction. Therefore, this article attempts to study on the spatial-temporal evolution and influencing factor on land use-related CO2 emissions at region-county level to promote county economy from CO2 source to CO2 sink. 9 regions and 38 counties in Chongqing of China were thus selected as study objects. Based on land use data, land use-related CO2 emissions were estimated using direct and indirect CO2 emission models for the period 1997–2015. On this basis, the space-time patterns were revealed from two scales of region and county. And the main factors influencing CO2 emissions according to land use were revealed based on Logarithmic Mean Divisia Index (LMDI) and geographic detector analysis (GDA), respectively. The results show that: 1) at regional scale, CO2 emissions of different regions all greatly improve in which southeastern ecological protection and development area showed the largest increase. Increases in per capita CO2 emissions in two-wing (suburban) areas are higher than those in downtown and surrounding-downtown areas. 2) at regional scale, the influences of various decomposed factors on the change of CO2 emissions fluctuate. The effect of population shows an insignificant influence on CO2 emissions. Economic development greatly influences CO2 emissions. Additionally, energy consumption shows a significant inhibitory effect on CO2 emissions while energy mix exhibits significant hysteresis. 3) at county scale, heavy CO2 emissions are concentrated in core urban areas; moderate and mild emissions occur mainly in the main urban expansion area, the region around the main urban areas, and in regional hub cities; low emissions are mainly concentrated in the Wuling mountainous area in southeast Chongqing and the Three Gorges Reservoir area in northeast Chongqing. 4) at county scale, the main influences on land use-related CO2 emissions are total energy consumption, per capita GDP, and urbanization rate. Minor influences include population size, proportion of secondary and tertiary industries, and proportion of land used for construction.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
量子星尘发布了新的文献求助10
刚刚
叮当发布了新的文献求助10
刚刚
李琦发布了新的文献求助30
1秒前
2秒前
HL完成签到,获得积分10
2秒前
2秒前
L912294993发布了新的文献求助10
2秒前
暗眸发布了新的文献求助10
3秒前
NexusExplorer应助羊羊羊采纳,获得10
3秒前
风清扬发布了新的文献求助10
3秒前
5秒前
5秒前
流星砸地鼠完成签到 ,获得积分10
6秒前
6秒前
求助人员应助yeye采纳,获得60
7秒前
熊猫海发布了新的文献求助10
7秒前
7秒前
佩琪小姨发布了新的文献求助10
8秒前
9秒前
9秒前
叮当完成签到,获得积分10
10秒前
zxiaoo完成签到,获得积分10
11秒前
000发布了新的文献求助10
11秒前
6666发布了新的文献求助200
11秒前
芽衣完成签到 ,获得积分10
12秒前
是然完成签到 ,获得积分10
12秒前
13秒前
14秒前
14秒前
虚幻的凤完成签到,获得积分10
14秒前
Wyx完成签到,获得积分10
14秒前
shelly7788完成签到,获得积分10
14秒前
winnie发布了新的文献求助10
15秒前
大模型应助000采纳,获得10
16秒前
17秒前
17秒前
赘婿应助青梅采纳,获得10
18秒前
鹿友菌发布了新的文献求助30
18秒前
浮游应助冷傲凝琴采纳,获得10
18秒前
棋士应助夏xx采纳,获得10
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 9000
Encyclopedia of the Human Brain Second Edition 8000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Real World Research, 5th Edition 680
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5684580
求助须知:如何正确求助?哪些是违规求助? 5037579
关于积分的说明 15184614
捐赠科研通 4843828
什么是DOI,文献DOI怎么找? 2596943
邀请新用户注册赠送积分活动 1549548
关于科研通互助平台的介绍 1508057