• 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

两阶段因素驱动中国工业 SO 排放强度变化:基于生产理论的分解分析。

The two-stage factors driving changes in China's industrial SO emission intensity: A production-theoretical decomposition analysis.

机构信息

College of Economics and Management, Nanjing University of Aeronautics and Astronautics, 29 Jiangjun Avenue, Nanjing 211106, China; Research Centre for Soft Energy Science, Nanjing University of Aeronautics and Astronautics, 29 Jiangjun Avenue, Nanjing 211106, China.

College of Economics and Management, Nanjing University of Aeronautics and Astronautics, 29 Jiangjun Avenue, Nanjing 211106, China; Research Centre for Soft Energy Science, Nanjing University of Aeronautics and Astronautics, 29 Jiangjun Avenue, Nanjing 211106, China.

出版信息

Sci Total Environ. 2022 Mar 25;814:152426. doi: 10.1016/j.scitotenv.2021.152426. Epub 2021 Dec 23.

DOI:10.1016/j.scitotenv.2021.152426
PMID:34953846
Abstract

Exploring the efficiency and technology related driving factors of China's industrial sulfur dioxide (SO) emission intensity change from a staged perspective is significant for reducing emissions in an efficient way. This study shows how efficiency and technology related factors at two stages, cleaner production and end-of-pipe treatment, influence changes in China's industrial SO emission intensity, by implementing a two-stage production-theoretical decomposition analysis (PDA) approach. The empirical research was conducted by decomposing changes in China's industrial SO emission intensity during 2011-2015. The results show that potential pollution intensity and treatment technological change substantially benefited the industrial SO emission intensity reduction, while changes in the treatment technical efficiency largely inhibited decreases in the industrial SO emission intensity. At the regional level, the decrease in industrial SO emission intensity created by production technological change occurred in the eastern and north-eastern regions, while this factor increased industrial SO emission intensity in the western and central regions. This study also found that changes in treatment technological change reduced industrial SO emission intensity in all four regions. Based on the decomposition results, this paper makes targeted policy recommendations for different levels of governments.

摘要

从分阶段的视角探讨中国工业二氧化硫(SO)排放强度变化的效率和技术相关驱动因素,对于以高效的方式减排具有重要意义。本研究通过实施两阶段生产理论分解分析(PDA)方法,展示了清洁生产和末端治理这两个阶段的效率和技术相关因素如何影响中国工业 SO 排放强度的变化。通过对 2011-2015 年中国工业 SO 排放强度变化进行分解,进行了实证研究。结果表明,潜在污染强度和处理技术变革极大地促进了工业 SO 排放强度的降低,而处理技术效率的变化则在很大程度上抑制了工业 SO 排放强度的降低。在区域层面上,生产技术变革导致了东部和东北地区工业 SO 排放强度的降低,而这一因素增加了西部地区和中部地区的工业 SO 排放强度。本研究还发现,处理技术变革的变化降低了所有四个地区的工业 SO 排放强度。基于分解结果,本文为不同级别的政府提出了有针对性的政策建议。

相似文献

1
The two-stage factors driving changes in China's industrial SO emission intensity: A production-theoretical decomposition analysis.两阶段因素驱动中国工业 SO 排放强度变化:基于生产理论的分解分析。
Sci Total Environ. 2022 Mar 25;814:152426. doi: 10.1016/j.scitotenv.2021.152426. Epub 2021 Dec 23.
2
Cleaner production vs end-of-pipe treatment: Evidence from industrial SO emissions abatement in China.清洁生产与末端治理:来自中国工业 SO 减排的证据。
J Environ Manage. 2021 Jan 1;277:111429. doi: 10.1016/j.jenvman.2020.111429. Epub 2020 Oct 15.
3
Modeling the spatiotemporal dynamics of industrial sulfur dioxide emissions in China based on DMSP-OLS nighttime stable light data.基于 DMSP-OLS 夜间稳定灯光数据的中国工业二氧化硫排放时空动态建模。
PLoS One. 2020 Sep 10;15(9):e0238696. doi: 10.1371/journal.pone.0238696. eCollection 2020.
4
Decoupling and decomposition analysis of industrial sulfur dioxide emissions from the industrial economy in 30 Chinese provinces.中国 30 个省份工业经济与工业二氧化硫排放的脱钩与分解分析。
J Environ Manage. 2020 Apr 15;260:110142. doi: 10.1016/j.jenvman.2020.110142. Epub 2020 Jan 17.
5
Industrial SO emissions treatment in China: A temporal-spatial whole process decomposition analysis.中国工业 SO 排放治理:时空全过程分解分析。
J Environ Manage. 2019 Aug 1;243:419-434. doi: 10.1016/j.jenvman.2019.05.025. Epub 2019 May 16.
6
Economic transition and industrial sulfur dioxide emissions in the Chinese economy.中国经济的经济转型与工业二氧化硫排放。
Sci Total Environ. 2020 Nov 20;744:140826. doi: 10.1016/j.scitotenv.2020.140826. Epub 2020 Jul 12.
7
The Unified Efficiency Evaluation of China's Industrial Waste Gas Considering Pollution Prevention and End-Of-Pipe Treatment.考虑污染预防和末端治理的中国工业废气综合效率评价。
Int J Environ Res Public Health. 2020 Aug 7;17(16):5724. doi: 10.3390/ijerph17165724.
8
Decline of net SO emission intensity in China's thermal power generation: Decomposition and attribution analysis.中国火力发电净 SO 排放强度下降:分解与归因分析。
Sci Total Environ. 2020 Jun 1;719:137367. doi: 10.1016/j.scitotenv.2020.137367. Epub 2020 Feb 18.
9
What determines the climate mitigation process of China's regional industrial sector?是什么决定了中国区域工业部门的气候缓解进程?
Environ Sci Pollut Res Int. 2021 Feb;28(8):9192-9203. doi: 10.1007/s11356-020-11006-5. Epub 2020 Oct 31.
10
Multi-perspective comparisons and mitigation implications of SO and NO discharges from the industrial sector of China: a decomposition analysis.中国工业部门 SO 和 NO 排放的多角度比较及缓解影响:分解分析。
Environ Sci Pollut Res Int. 2018 Apr;25(10):9600-9614. doi: 10.1007/s11356-018-1306-x. Epub 2018 Jan 22.