The decoupling relationship between land use efficiency and carbon emissions in China: An analysis using the Socio-Ecological Systems (SES) framework

解耦(概率) 土地利用 中国 农业 生态学 地理 环境资源管理 自然资源经济学 经济 工程类 生物 控制工程 考古
作者
Jing Huang,Wenjing Han,Zhengfeng Zhang,Shuai‐Nan Ning,Xiaoling Zhang
出处
期刊:Land Use Policy [Elsevier BV]
卷期号:138: 107055-107055 被引量:24
标识
DOI:10.1016/j.landusepol.2024.107055
摘要

The Socio-Ecological Systems (SES) framework provides a comprehensive approach to studying the decoupling of land use efficiency (LUE) and carbon emissions (CEs), thereby supporting the transition towards low-carbon land use from a holistic social-ecological perspective. In this study, we utilized the SES framework to examine the decoupling patterns of LUE and CEs across different land use categories (agricultural, industrial, commercial, and ecological land) in 285 Chinese cities from 2007 to 2019. We found that: (1) The decoupling relationships between LUE and CEs varied across different land categories, influenced by input/output values as well as social, economic, and regulatory factors. (2) During the 12th Five-Year Plan period (2011–2015), significant decoupling between agricultural, industrial, commercial, and ecological LUEs and CEs was observed in 170 (59%), 119 (42%), 117 (41%), and 139 (49%) cities, respectively. (3) From a long-term perspective (2010–2019), all types of LUE and CEs that were initially absent in geographic agglomeration showed improvement and achieved decoupling. (4) The initial set of low-carbon pilot cities that aimed to reduce CEs showed the most success, but this advantage faded with time. Our research delves into the interactions of actors with land resources and their implications for CEs within the SES framework. Through exploring the decoupling of LUE and CEs, we provide valuable insights for actors to make strategic adjustments, enhancing societal resilience and promoting harmonious development between humans and nature in the social-ecological system.
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
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
lvsehx发布了新的文献求助10
刚刚
1秒前
漂流发布了新的文献求助10
1秒前
1秒前
腼腆的夏蓉完成签到,获得积分10
1秒前
夜白应助ninao采纳,获得20
2秒前
阳光问安完成签到 ,获得积分0
2秒前
Yang完成签到,获得积分10
2秒前
Arthur完成签到,获得积分10
3秒前
恰恰恰完成签到,获得积分10
4秒前
5秒前
sun发布了新的文献求助10
6秒前
Richard发布了新的文献求助10
6秒前
jackcai完成签到,获得积分10
7秒前
7秒前
8秒前
xiaoai完成签到 ,获得积分10
12秒前
jasmine完成签到 ,获得积分10
12秒前
ekun发布了新的文献求助10
13秒前
13秒前
飞辉灰完成签到,获得积分20
15秒前
15秒前
17秒前
傲娇访风完成签到,获得积分10
18秒前
研友_Ze2oV8完成签到 ,获得积分10
19秒前
猎人日记完成签到,获得积分10
20秒前
FashionBoy应助tough_cookie采纳,获得10
21秒前
张涛发布了新的文献求助10
21秒前
JYM完成签到,获得积分10
21秒前
23秒前
平淡小白菜完成签到,获得积分10
23秒前
ma121完成签到,获得积分10
27秒前
27秒前
呼延盼秋完成签到,获得积分20
28秒前
缥缈不言发布了新的文献求助10
30秒前
七七完成签到 ,获得积分10
33秒前
le完成签到,获得积分20
34秒前
殷勤的紫槐应助愉快的真采纳,获得300
35秒前
淡然电脑完成签到,获得积分10
36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
Markov Chain Monte Carlo 5000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Evidence Summary. Injection (subcutaneous):op- timal administration 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7494307
求助须知:如何正确求助?哪些是违规求助? 9085740
关于积分的说明 19377640
捐赠科研通 7106157
什么是DOI,文献DOI怎么找? 3249694
关于科研通互助平台的介绍 2419128
邀请新用户注册赠送积分活动 2235418