基于 DPSIR模型的节能企业环境绩效审计评价体系研究——以海润集团为例

Research on the Environmental Performance Audit and Evaluation System of Energy-saving Enterprises Based on DPSIR Model: A Case Study of Hairun Group

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作者:

李姚瑶

导师:

彭华伟;袁亮亮

导师单位:

商学院(监察审计学院),商学院(监察审计学院)

学位:

硕士

语种:

中文

关键词:

节能企业, 环境绩效审计, DPSIR模型, AHP—熵权组合赋权, TOPSIS

摘要:

在“双碳”目标与ESG信息披露要求持续强化的背景下,节能企业作为绿色低碳转型的重要供给侧主体,其环境绩效不仅体现在产品与服务的节能减排贡献,也体现在自身运营与项目全生命周期管理的资源效率与治理能力。然而,现有企业环境绩效审计研究多聚焦高污染行业或典型排放口指标,难以有效刻画节能企业“以技术与服务创造间接环境效益”的绩效特征。基于此,本文引入DPSIR(驱动力—压力—状态—影响—响应)模型构建节能企业环境绩效审计评价指标体系,从经营成长与绿色导向、资源消耗强度、交付与运行状态、综合影响后果以及治理响应闭环五个维度选取18项指标,并在权重确定环节采用AHP—熵权法组合赋权,以兼顾专家判断的管理导向与样本数据差异的客观信息量。本文以重庆海润节能技术股份有限公司为案例,整理其2021—2024年相关财务与运营数据,运用TOPSIS方法对企业年度环境绩效审计水平进行综合评价。结果显示,海润节能2021—2024年TOPSIS贴近度C值分别为0.2539、0.4280、0.6398、0.7405,综合排序为2024年>2023年>2022年>2021年,整体呈持续改善态势,且2023—2024年提升更为显著。维度分解表明,企业环境绩效改善路径呈现“资源压力下降—运行状态稳定—响应机制强化”的演进特征。在权重结果上,响应维度中“单位营业收入综合能耗下降率”等指标对综合评价贡献较高,说明节能企业环境绩效的可持续提升,关键在于将节能效果从一次性交付转化为可监测、可纠偏、可闭环的持续治理能力。本文从数据治理、项目运维、数字化监控与整改闭环等方面提出针对性审计建议,以期为节能企业环境绩效审计评价体系的实务应用与标准完善提供参考。

参考文献:

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提交日期

2026-08-28

引用参考

李姚瑶. 基于 DPSIR模型的节能企业环境绩效审计评价体系研究——以海润集团为例[D]. 西南政法大学,2026.

全文附件授权许可

知识共享许可协议-署名

  • dc.title
  • 基于 DPSIR模型的节能企业环境绩效审计评价体系研究——以海润集团为例
  • dc.title
  • Research on the Environmental Performance Audit and Evaluation System of Energy-saving Enterprises Based on DPSIR Model: A Case Study of Hairun Group
  • dc.contributor.schoolno
  • 20230257000338
  • dc.contributor.author
  • 李姚瑶
  • dc.contributor.affiliation
  • 商学院(监察审计学院)
  • dc.contributor.degree
  • 硕士
  • dc.contributor.childdegree
  • 审计硕士专业学位
  • dc.contributor.degreeConferringInstitution
  • 西南政法大学
  • dc.identifier.year
  • 2026
  • dc.contributor.direction
  • 社会审计
  • dc.contributor.advisor
  • 彭华伟,袁亮亮
  • dc.contributor.advisorAffiliation
  • 商学院(监察审计学院),商学院(监察审计学院)
  • dc.language.iso
  • 中文
  • dc.subject
  • 节能企业,环境绩效审计,DPSIR模型,AHP—熵权组合赋权,TOPSIS
  • dc.subject
  • energy-saving enterprise; environmental performance audit; DPSIR; AHP–entropy combined weighting; TOPSIS
  • dc.description.abstract
  • 在“双碳”目标与ESG信息披露要求持续强化的背景下,节能企业作为绿色低碳转型的重要供给侧主体,其环境绩效不仅体现在产品与服务的节能减排贡献,也体现在自身运营与项目全生命周期管理的资源效率与治理能力。然而,现有企业环境绩效审计研究多聚焦高污染行业或典型排放口指标,难以有效刻画节能企业“以技术与服务创造间接环境效益”的绩效特征。基于此,本文引入DPSIR(驱动力—压力—状态—影响—响应)模型构建节能企业环境绩效审计评价指标体系,从经营成长与绿色导向、资源消耗强度、交付与运行状态、综合影响后果以及治理响应闭环五个维度选取18项指标,并在权重确定环节采用AHP—熵权法组合赋权,以兼顾专家判断的管理导向与样本数据差异的客观信息量。本文以重庆海润节能技术股份有限公司为案例,整理其2021—2024年相关财务与运营数据,运用TOPSIS方法对企业年度环境绩效审计水平进行综合评价。结果显示,海润节能2021—2024年TOPSIS贴近度C值分别为0.2539、0.4280、0.6398、0.7405,综合排序为2024年>2023年>2022年>2021年,整体呈持续改善态势,且2023—2024年提升更为显著。维度分解表明,企业环境绩效改善路径呈现“资源压力下降—运行状态稳定—响应机制强化”的演进特征。在权重结果上,响应维度中“单位营业收入综合能耗下降率”等指标对综合评价贡献较高,说明节能企业环境绩效的可持续提升,关键在于将节能效果从一次性交付转化为可监测、可纠偏、可闭环的持续治理能力。本文从数据治理、项目运维、数字化监控与整改闭环等方面提出针对性审计建议,以期为节能企业环境绩效审计评价体系的实务应用与标准完善提供参考。
  • dc.description.abstract
  • Under China’s “dual-carbon” targets and the growing demand for ESG disclosure, energy-saving enterprises have become a key supply-side force for low-carbon transition. Unlike heavy-polluting industries, the environmental performance of energy-saving firms is characterized by technology- and service-driven, often indirect environmental benefits, as well as their own operational resource efficiency and governance capability throughout the project life cycle. To address the mismatch between existing audit indicators and such characteristics, this study develops an environmental performance audit evaluation index system for energy-saving enterprises based on the DPSIR (Driving force–Pressure–State–Impact–Response) framework. Eighteen indicators are selected across five dimensions, and a combined weighting scheme integrating AHP and the entropy method is employed to balance managerial judgment and data-driven information. Conducted using data from 2021–2024. The TOPSIS approach is applied to synthesize multi-indicator performance and rank annual outcomes. The results indicate a steady improvement in environmental performance, with closeness coefficients of 0.2539 (2021), 0.4280 (2022), 0.6398 (2023), and 0.7405 (2024), ranking 2024 > 2023 > 2022 > 2021. Dimension-level decomposition suggests an improvement trajectory featuring reduced resource-intensity pressures, more stable operational states, and strengthened response mechanisms. The weighting outcomes further imply that response-oriented indicators (e.g., intensity-based energy reduction) contribute substantially to overall evaluation, highlighting the importance of continuous monitoring, timely correction, and closed-loop governance for sustainable performance improvement. This study concludes with audit-oriented recommendations on data governance, project O&M, digital monitoring, and corrective action closure, offering practical implications for applying and refining environmental performance audit systems in energy-saving enterprises.
  • dc.date.issued
  • 2026-06-04
  • dc.date.oralDefense
  • 2026-05-26
  • dc.relation.citedreferences
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