• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

促进中国县级差异化低碳管理的效率和潜力评估。

Efficiency and Potential Evaluation to Promote Differentiated Low-Carbon Management in Chinese Counties.

机构信息

Department of Urban Planning, School of Architecture, Tianjin University, Tianjin 300072, China.

出版信息

Int J Environ Res Public Health. 2023 Feb 20;20(4):3715. doi: 10.3390/ijerph20043715.

DOI:10.3390/ijerph20043715
PMID:36834409
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9959376/
Abstract

Low-carbon management plays an important role in mitigating climate change and adapting to it. Localities should adopt differentiated low-carbon management policies according to the state of their environment. To help formulate specific and realistic low-carbon management policies, this paper took into account specific low-carbon management sectors. Likewise, it carefully considered the differences in various resource endowments and proposed a method for evaluating low-carbon management efficiency and potential. The method was applied to an empirical study from 2015 conducted on 1771 Chinese counties. Significant spatial heterogeneity was found during the research. The counties bordering central and Western China and the ones in the southeast coastal areas showed higher efficiency in the industrial sector. Southern and Northern China had higher efficiency in the housing and transportation sector, respectively. Moreover, counties in remote areas showed more potential in the industrial sector. Central China had higher potential in the housing sector, while counties bordering provinces had more potential in the transportation sector. Therefore, Chinese counties were divided into eight management zones where differentiated management strategies were identified to shape low-carbon management policies.

摘要

低碳管理在缓解气候变化和适应气候变化方面发挥着重要作用。地方应根据环境状况采取差异化的低碳管理政策。为帮助制定具体和现实的低碳管理政策,本文考虑了特定的低碳管理部门。同样,它还仔细考虑了各种资源禀赋的差异,并提出了一种评估低碳管理效率和潜力的方法。该方法应用于 2015 年对中国 1771 个县进行的实证研究。研究过程中发现了显著的空间异质性。毗邻中西部的县和东南沿海地区的县在工业部门的效率更高。中国南方和北方在住房和交通部门的效率更高。此外,偏远地区的县在工业部门有更大的潜力。中国中部地区在住房部门有更高的潜力,而毗邻省份的县在交通部门有更高的潜力。因此,中国的县被划分为八个管理区,确定了差异化的管理策略,以制定低碳管理政策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1468/9959376/eb146072bd34/ijerph-20-03715-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1468/9959376/49cf8a8c53b6/ijerph-20-03715-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1468/9959376/c37121241fd3/ijerph-20-03715-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1468/9959376/7b743269e070/ijerph-20-03715-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1468/9959376/6e1b1807bd2b/ijerph-20-03715-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1468/9959376/fd67ed37dc3c/ijerph-20-03715-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1468/9959376/67f3a2d13940/ijerph-20-03715-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1468/9959376/eb146072bd34/ijerph-20-03715-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1468/9959376/49cf8a8c53b6/ijerph-20-03715-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1468/9959376/c37121241fd3/ijerph-20-03715-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1468/9959376/7b743269e070/ijerph-20-03715-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1468/9959376/6e1b1807bd2b/ijerph-20-03715-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1468/9959376/fd67ed37dc3c/ijerph-20-03715-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1468/9959376/67f3a2d13940/ijerph-20-03715-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1468/9959376/eb146072bd34/ijerph-20-03715-g007.jpg

相似文献

1
Efficiency and Potential Evaluation to Promote Differentiated Low-Carbon Management in Chinese Counties.促进中国县级差异化低碳管理的效率和潜力评估。
Int J Environ Res Public Health. 2023 Feb 20;20(4):3715. doi: 10.3390/ijerph20043715.
2
Decomposition of China's regional carbon emission paths: an analysis of environmental input and output considering regional development differences.中国区域碳排放路径的分解:考虑区域发展差异的环境投入产出分析。
Environ Sci Pollut Res Int. 2022 Sep;29(41):62537-62559. doi: 10.1007/s11356-022-19896-3. Epub 2022 Apr 11.
3
Analysis on carbon emissions efficiency differences and optimization evolution of China's industrial system: An input-output analysis.中国工业系统碳排放效率差异分析及优化演进:投入产出分析
PLoS One. 2022 Mar 24;17(3):e0258147. doi: 10.1371/journal.pone.0258147. eCollection 2022.
4
Does the Effort Meet the Challenge in Promoting Low-Carbon City?-A Perspective of Global Practice.促进低碳城市发展的努力是否符合要求?——基于全球实践的视角。
Int J Environ Res Public Health. 2018 Jun 25;15(7):1334. doi: 10.3390/ijerph15071334.
5
Driving factors of spatial-temporal difference in China's transportation sector carbon productivity: an empirical analysis based on Geodetector method.中国交通运输部门碳生产率时空差异的驱动因素:基于地理探测器方法的实证分析。
Environ Sci Pollut Res Int. 2023 Mar;30(11):30656-30671. doi: 10.1007/s11356-022-24008-2. Epub 2022 Nov 28.
6
The impact of clean energy demonstration province policies on carbon intensity in Chinese counties based on the multi-phase PSM-DID method.基于多阶段 PSM-DID 方法的清洁能源示范省政策对中国县级碳强度的影响。
Environ Sci Pollut Res Int. 2024 Feb;31(9):12978-12994. doi: 10.1007/s11356-023-31799-5. Epub 2024 Jan 18.
7
Identifying the driving forces of CO emissions of China's transport sector from temporal and spatial decomposition perspectives.从时间和空间分解的角度识别中国交通运输部门 CO 排放的驱动因素。
Environ Sci Pollut Res Int. 2019 Jun;26(17):17383-17406. doi: 10.1007/s11356-019-05076-3. Epub 2019 Apr 24.
8
Study on the Spatiotemporal Evolution and Influencing Factors of Agricultural Carbon Emissions in the Counties of Zhejiang Province.浙江省县域农业碳排放时空演变及其影响因素研究
Int J Environ Res Public Health. 2022 Dec 23;20(1):189. doi: 10.3390/ijerph20010189.
9
Simulations for double dividend of carbon tax and improved energy efficiency in the transportation industry.交通行业碳税与提高能源效率的双重红利模拟
Environ Sci Pollut Res Int. 2023 Feb;30(7):19083-19096. doi: 10.1007/s11356-022-23411-z. Epub 2022 Oct 12.
10
The evolution characteristics and influence factors of carbon productivity in China's industrial sector: from the perspective of embodied carbon emissions.中国工业部门碳生产率的演变特征及其影响因素:基于隐含碳排放的视角。
Environ Sci Pollut Res Int. 2021 Sep;28(36):50611-50622. doi: 10.1007/s11356-021-14271-0. Epub 2021 May 8.

本文引用的文献

1
Impacts of Built-Environment on Carbon Dioxide Emissions from Traffic: A Systematic Literature Review.建筑环境对交通二氧化碳排放的影响:系统文献综述。
Int J Environ Res Public Health. 2022 Dec 16;19(24):16898. doi: 10.3390/ijerph192416898.
2
Spatial-temporal characteristics and influencing factors of county-level carbon emissions in Zhejiang Province, China.中国浙江省县级碳排放的时空特征及影响因素
Environ Sci Pollut Res Int. 2023 Jan;30(4):10136-10148. doi: 10.1007/s11356-022-22790-7. Epub 2022 Sep 7.
3
A Heterogeneity Study of Carbon Emissions Driving Factors in Beijing-Tianjin-Hebei Region, China, Based on PGTWR Model.
基于 PGTWR 模型的京津冀地区碳排放驱动因素异质性研究。
Int J Environ Res Public Health. 2022 May 29;19(11):6644. doi: 10.3390/ijerph19116644.
4
The Chinese Carbon-Neutral Goal: Challenges and Prospects.中国的碳中和目标:挑战与前景
Adv Atmos Sci. 2022;39(8):1229-1238. doi: 10.1007/s00376-021-1313-6. Epub 2022 Jan 25.
5
Influential Factors and Spatiotemporal Characteristics of Carbon Intensity on Industrial Sectors in China.中国工业部门碳强度的影响因素及时空特征。
Int J Environ Res Public Health. 2021 Mar 12;18(6):2914. doi: 10.3390/ijerph18062914.
6
Effectiveness of China's provincial industrial carbon emission reduction and optimization of carbon emission reduction paths in "lagging regions": Efficiency-cost analysis.中国省级工业碳排放减排的有效性及“滞后地区”减排路径优化:效率-成本分析。
J Environ Manage. 2020 Dec 1;275:111221. doi: 10.1016/j.jenvman.2020.111221. Epub 2020 Sep 18.
7
The potential for energy saving and carbon emission reduction in China's regional industrial sectors.中国区域工业部门的节能减排潜力。
Sci Total Environ. 2020 May 10;716:135009. doi: 10.1016/j.scitotenv.2019.135009. Epub 2019 Nov 16.
8
Understanding interactions between urban development policies and GHG emissions: A case study in Stockholm Region.理解城市发展政策与温室气体排放之间的相互作用:以斯德哥尔摩地区为例。
Ambio. 2020 Jul;49(7):1313-1327. doi: 10.1007/s13280-019-01290-y. Epub 2019 Nov 20.
9
Dataset normalization for low carbon cities in a multi-criteria evaluation model.多标准评估模型中低碳城市的数据集归一化
Data Brief. 2018 Mar 31;18:1111-1116. doi: 10.1016/j.dib.2018.03.130. eCollection 2018 Jun.
10
Global change and the ecology of cities.全球变化与城市生态学
Science. 2008 Feb 8;319(5864):756-60. doi: 10.1126/science.1150195.