• 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

中国交通运输部门能源与环境绩效的动态评估:ZSG-MEA 窗口分析。

Dynamic evaluation on the energy and environmental performance of China's transportation sector: a ZSG-MEA window analysis.

机构信息

School of Management, Hefei University of Technology, Hefei, 230009, Anhui, China.

School of Management, Shandong University, Jinan, Shandong, China.

出版信息

Environ Sci Pollut Res Int. 2021 Mar;28(9):11454-11468. doi: 10.1007/s11356-020-11314-w. Epub 2020 Oct 29.

DOI:10.1007/s11356-020-11314-w
PMID:33123887
Abstract

The transportation sector is one of the important energy consumption and carbon emission sources. This paper extends the multi-directional efficiency analysis (MEA) to zero-sum game MEA (ZSG-MEA) with considering the CO emission as a fixed-sum undesirable output to measure the energy and environmental performance (EEP) of the transportation sector. The ZSG-MEA window analysis is applied to dynamically evaluate the EEP of China's transportation sector in 30 provincial-level regions during 2008-2017. Some interesting findings are obtained: (i) the EEP of the transportation sector in most regions has not been performed well but the average EEP of the transportation sector in most regions has been gradually improved since 2011. A general trend is that the transportation sector in the east area wins the best average EEP, and the average EEP of the central area is better than that of the west area, but their gap is narrowing from 2012. (ii) The EEP fluctuation verifies the greatest imbalance of EEP among the east area's regions. Both the east area and the central area are narrowing the imbalance in recent years, but the west area has an inverse trend. (iii) The performance of CO emissions is better than that of energy consumption in all three areas, which implies that China's transportation sector seems to have paid more attention on emission reduction than energy conservation. Besides, the east area has the best performance of energy consumption and CO emissions from an overall perspective. And the energy consumption and CO emissions in the central area perform better than the west area before 2013, but then shows an entangled state from 2013. (iv) From the average variable specific ZSG-MEA efficiency, the industrial added value of transportation sector performs better than other variables in the east area and central area, but the situation in the west area is inverse. Some useful insights are provided according to these findings.

摘要

交通运输部门是能源消耗和碳排放的重要来源之一。本文将多向效率分析(MEA)扩展到考虑 CO 排放为固定和不良输出的零和博弈 MEA(ZSG-MEA),以衡量交通运输部门的能源和环境绩效(EEP)。应用 ZSG-MEA 窗口分析方法,动态评估了 2008-2017 年中国 30 个省级行政区交通运输部门的 EEP。得到了一些有趣的发现:(i)大多数地区的交通运输部门 EEP 表现不佳,但自 2011 年以来,大多数地区的交通运输部门平均 EEP 逐渐提高。总体趋势是,东部地区的交通运输部门获得了最佳的平均 EEP,中部地区的平均 EEP 好于西部地区,但从 2012 年开始差距逐渐缩小。(ii)EEP 波动验证了东部地区各地区之间 EEP 最大的不平衡。近年来,东部地区和中部地区都在缩小不平衡,但西部地区呈相反趋势。(iii)所有三个地区的 CO 排放绩效均优于能源消耗绩效,这意味着中国交通运输部门似乎在减排方面比节能方面投入更多。此外,从整体上看,东部地区的能源消耗和 CO 排放绩效最佳。在 2013 年之前,中部地区的能源消耗和 CO 排放绩效优于西部地区,但从 2013 年开始呈现纠缠状态。(iv)从平均变量特定的 ZSG-MEA 效率来看,交通运输部门的工业增加值在东部地区和中部地区的表现优于其他变量,但西部地区的情况相反。根据这些发现,提供了一些有用的见解。

相似文献

1
Dynamic evaluation on the energy and environmental performance of China's transportation sector: a ZSG-MEA window analysis.中国交通运输部门能源与环境绩效的动态评估:ZSG-MEA 窗口分析。
Environ Sci Pollut Res Int. 2021 Mar;28(9):11454-11468. doi: 10.1007/s11356-020-11314-w. Epub 2020 Oct 29.
2
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.
3
The impact of technology-environmental innovation on CO emissions in China's transportation sector.技术-环境创新对中国交通运输部门 CO 排放的影响。
Environ Sci Pollut Res Int. 2020 Aug;27(23):29485-29501. doi: 10.1007/s11356-020-08983-y. Epub 2020 May 22.
4
Spatio-temporal characteristics of the relationship between carbon emissions and economic growth in China's transportation industry.中国交通运输业碳排放与经济增长关系的时空特征。
Environ Sci Pollut Res Int. 2020 Sep;27(26):32962-32979. doi: 10.1007/s11356-020-08841-x. Epub 2020 Jun 10.
5
Illuminating the efficiency of CO emissions in China's mining sector: evidence from meta-frontier Malmquist index models.中国采矿业 CO2 排放效率的分析:基于超前沿 Malmquist 指数模型的证据。
Environ Sci Pollut Res Int. 2021 Jan;28(2):1823-1836. doi: 10.1007/s11356-020-10367-1. Epub 2020 Aug 28.
6
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.
7
Spatiotemporal dynamic differences of energy-related CO emissions and the related driven factors in six regions of China during two decades.中国六大区域近 20 年能源相关 CO2 排放的时空动态差异及相关驱动因素。
Environ Sci Pollut Res Int. 2022 Apr;29(17):24737-24756. doi: 10.1007/s11356-021-17482-7. Epub 2021 Nov 26.
8
The CO emission changes in China's transportation sector during 1992-2015: a structural decomposition analysis.中国交通运输部门 1992-2015 年 CO 排放量变化:结构分解分析。
Environ Sci Pollut Res Int. 2020 Mar;27(9):9085-9098. doi: 10.1007/s11356-019-07094-7. Epub 2020 Jan 7.
9
Structural factors influencing energy carbon emissions in China's service industry: an input-output perspective.结构因素对中国服务业能源碳排放的影响:投入产出视角。
Environ Sci Pollut Res Int. 2022 Jul;29(32):49361-49372. doi: 10.1007/s11356-022-19287-8. Epub 2022 Feb 26.
10
Energy-related carbon emissions and structural emissions reduction of China's construction industry: the perspective of input-output analysis.中国建筑业的能源相关碳排放与结构减排:投入产出分析的视角。
Environ Sci Pollut Res Int. 2022 Jun;29(26):39515-39527. doi: 10.1007/s11356-021-17604-1. Epub 2022 Feb 1.