• 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

中国的经济增长与家庭能源足迹不平等。

Economic growth and household energy footprint inequality in China.

机构信息

Xinjiang Innovation Management Research Center, Xinjiang University, Urumqi, China.

School of Economics and Management, Xinjiang University, Urumqi, China.

出版信息

PLoS One. 2023 Mar 1;18(3):e0282300. doi: 10.1371/journal.pone.0282300. eCollection 2023.

DOI:10.1371/journal.pone.0282300
PMID:36857403
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9977031/
Abstract

There are significant differences in energy footprints among individual households. This study uses an environmentally extended input-output approach to estimate the per capita household energy footprint (PCHEF) of 10 different income groups in China's 30 provinces and analyzes the heterogeneity of household consumption categories, and finally measures the energy equality of households in each province by measuring the energy footprint Gini coefficient (EF-Gini). It is found that the energy footprint of the top 10% income households accounted for about 22% of the national energy footprint in 2017, while the energy footprint of the bottom 40% income households accounted for only 24%. With the growth of China's economy, energy footprint inequality has declined spatially and temporally. Firstly, wealthier coastal regions have experienced greater convergence in their energy footprint than poorer inland regions. Secondly, China's household EF-Gini has declined from 0.38 in 2012 to 0.36 in 2017. This study shows that China's economic growth has not only raised household income levels, but also reduced energy footprint inequality.

摘要

不同家庭的能源足迹存在显著差异。本研究采用环境扩展投入产出法,估算了中国 30 个省份 10 个不同收入群体的人均家庭能源足迹(PCHEF),分析了家庭消费类别的异质性,并通过衡量能源足迹基尼系数(EF-Gini),最终测算了各省份家庭的能源平等程度。结果表明,2017 年,收入最高的 10%家庭的能源足迹占全国能源足迹的 22%左右,而收入最低的 40%家庭的能源足迹仅占 24%。随着中国经济的增长,能源足迹不平等在空间和时间上都有所下降。首先,较富裕的沿海地区的能源足迹趋同程度大于较贫穷的内陆地区。其次,中国的家庭 EF-Gini 从 2012 年的 0.38 下降到 2017 年的 0.36。本研究表明,中国的经济增长不仅提高了家庭收入水平,还降低了能源足迹不平等。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62e2/9977031/4d724e404a86/pone.0282300.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62e2/9977031/9002fda5ec62/pone.0282300.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62e2/9977031/520649b39d53/pone.0282300.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62e2/9977031/fb3997d575f2/pone.0282300.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62e2/9977031/58bf754ca164/pone.0282300.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62e2/9977031/4d724e404a86/pone.0282300.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62e2/9977031/9002fda5ec62/pone.0282300.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62e2/9977031/520649b39d53/pone.0282300.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62e2/9977031/fb3997d575f2/pone.0282300.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62e2/9977031/58bf754ca164/pone.0282300.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62e2/9977031/4d724e404a86/pone.0282300.g005.jpg

相似文献

1
Economic growth and household energy footprint inequality in China.中国的经济增长与家庭能源足迹不平等。
PLoS One. 2023 Mar 1;18(3):e0282300. doi: 10.1371/journal.pone.0282300. eCollection 2023.
2
Reducing Carbon Footprint Inequality of Household Consumption in Rural Areas: Analysis from Five Representative Provinces in China.减少农村家庭消费碳足迹不平等:来自中国五个代表性省份的分析。
Environ Sci Technol. 2021 Sep 7;55(17):11511-11520. doi: 10.1021/acs.est.1c01374. Epub 2021 Aug 10.
3
Urban-rural carbon footprint disparity across China from essential household expenditure: Survey-based analysis, 2010-2014.中国城乡家庭基本消费碳足迹差距研究:基于调查数据的分析,2010-2014 年。
J Environ Manage. 2020 Aug 1;267:110570. doi: 10.1016/j.jenvman.2020.110570. Epub 2020 May 4.
4
Provincial and sector-level material footprints in China.中国省级和部门级的物质足迹。
Proc Natl Acad Sci U S A. 2019 Dec 26;116(52):26484-26490. doi: 10.1073/pnas.1903028116. Epub 2019 Dec 16.
5
"New normal" characteristics show in China's energy footprints and carbon footprints.“新常态”特征体现在中国的能源足迹和碳足迹中。
Sci Total Environ. 2021 Sep 1;785:147210. doi: 10.1016/j.scitotenv.2021.147210. Epub 2021 Apr 21.
6
Analysis of the decoupling effect and eco-economic coordination of the resident energy carbon footprint: a case study of Caijiapo Town, a national key town in western China.分析居民能源碳足迹的脱钩效应和生态经济协调关系:以中国西部国家级重点镇蔡家坡镇为例。
Environ Sci Pollut Res Int. 2020 Mar;27(7):6936-6949. doi: 10.1007/s11356-019-07350-w. Epub 2019 Dec 26.
7
Obscuring effect of income inequality and moderating role of financial literacy in the relationship between digital finance and China's household carbon emissions.收入不平等的掩盖效应和金融素养在数字金融与中国家庭碳排放关系中的调节作用。
J Environ Manage. 2024 Feb;351:119927. doi: 10.1016/j.jenvman.2023.119927. Epub 2024 Jan 4.
8
Assessment of physical quantity and value of natural capital in China since the 21st century based on a modified ecological footprint model.基于改进生态足迹模型的21世纪以来中国自然资本实物量与价值量评估
Sci Total Environ. 2022 Feb 1;806(Pt 2):150676. doi: 10.1016/j.scitotenv.2021.150676. Epub 2021 Sep 29.
9
Examining the spatiotemporal variations and inequality of China's provincial CO emissions.考察中国省级 CO 排放的时空变化及其不平等性。
Environ Sci Pollut Res Int. 2020 May;27(14):16362-16376. doi: 10.1007/s11356-020-08181-w. Epub 2020 Mar 2.
10
Temporal dynamics and spatial differences of household carbon emissions per capita of China's provinces during 2000-2019.2000—2019年中国各省人均家庭碳排放的时间动态与空间差异
Environ Sci Pollut Res Int. 2022 May;29(21):31198-31216. doi: 10.1007/s11356-021-17921-5. Epub 2022 Jan 10.

引用本文的文献

1
Energy consumption forecasting for oil and coal in China based on hybrid deep learning.基于混合深度学习的中国石油和煤炭能源消耗预测
PLoS One. 2025 Jan 6;20(1):e0313856. doi: 10.1371/journal.pone.0313856. eCollection 2025.

本文引用的文献

1
Social health insurance consolidation and urban-rural inequality in utilization and financial risk protection in China.社会医疗保险整合与中国利用和财务风险保护的城乡不平等。
Soc Sci Med. 2022 Sep;308:115200. doi: 10.1016/j.socscimed.2022.115200. Epub 2022 Jul 8.
2
A measurement strategy to address disparities across household energy burdens.一种解决家庭能源负担差异的测量策略。
Nat Commun. 2022 Jan 12;13(1):288. doi: 10.1038/s41467-021-27673-y.
3
Energy poverty and economic development: evidence from BRICS economies.能源贫困与经济发展:金砖国家经济的证据。
Environ Sci Pollut Res Int. 2022 Feb;29(7):9707-9721. doi: 10.1007/s11356-021-16174-6. Epub 2021 Sep 9.
4
Reducing Carbon Footprint Inequality of Household Consumption in Rural Areas: Analysis from Five Representative Provinces in China.减少农村家庭消费碳足迹不平等:来自中国五个代表性省份的分析。
Environ Sci Technol. 2021 Sep 7;55(17):11511-11520. doi: 10.1021/acs.est.1c01374. Epub 2021 Aug 10.
5
The impact of emission trading schemes on firm competitiveness: Evidence of the mediating effects of firm behaviors from the guangdong ETS.排放交易计划对企业竞争力的影响:来自广东 ETS 的企业行为中介效应的证据。
J Environ Manage. 2021 Jul 15;290:112633. doi: 10.1016/j.jenvman.2021.112633. Epub 2021 Apr 20.
6
Household carbon and energy inequality in Latin American and Caribbean countries.拉丁美洲和加勒比国家的家庭碳排放和能源不平等。
J Environ Manage. 2020 Nov 1;273:110979. doi: 10.1016/j.jenvman.2020.110979. Epub 2020 Sep 1.
7
Inequality of household energy and water consumption in China: An input-output analysis.中国家庭能源和用水量的不平等:投入产出分析。
J Environ Manage. 2020 Sep 1;269:110716. doi: 10.1016/j.jenvman.2020.110716. Epub 2020 May 21.
8
The government capacity on industrial pollution management in Shanxi province: A response impulse analysis.山西省工业污染管理的政府能力:响应冲动分析。
J Environ Manage. 2018 Oct 1;223:1037-1046. doi: 10.1016/j.jenvman.2018.07.010. Epub 2018 Jul 11.
9
The distribution of income is worse than you think: Including pollution impacts into measures of income inequality.收入分配比你想象的更糟糕:将污染影响纳入收入不平等衡量标准。
PLoS One. 2018 Mar 21;13(3):e0192461. doi: 10.1371/journal.pone.0192461. eCollection 2018.