生态环境

兼顾效率和公平的江苏省水污染物排放总量分配研究

  • 杨高升 ,
  • 胡梦柳 ,
  • 杨丰潞
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  • (1.河海大学商学院,江苏 南京 211100; 2.河海大学工程管理研究所,江苏 南京 211100)

网络出版日期: 2024-07-22

Efficiency and Equity Balanced Water Pollutant Emission Aggregate Allocation for Jiangsu Province

  • YANG Gao-sheng ,
  • HU Meng-liu ,
  • YANG Feng-lu
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  • (1.Business School of Hohai University, Nanjing 211100 ,China;2. Institute of Engineering Management, Hohai University , Nanjing 211100,China)

Online published: 2024-07-22

摘要

 区域水污染物排放总量分配方案的确定是关系到区域间公平协调、经济高效发展的关键。为兼顾效率与公平,取效率最优解集中距理想公平方案最小的解为最终方案,构建排污总量分配模型,测算江苏省各地级市“十四五”COD排污总量分配方案。结果表明:(1)COD历史排放量较大的盐城、徐州分配到了江苏省14.2%、12.1%的排污比例,是历史公平、发展公平的体现,二者承担全省18.5%、10.8%的减排任务,应证了“谁污染谁治理”的公平原则;(2)经济水平较高、单位排污产出较高的无锡、常州等地区排污分配量最终方案>公平方案,符合效率优先的要求。基于此,以COD排放削减率和人均GDP为依据将江苏省地级市划分为四类,分类探讨论可持续发展道路。

本文引用格式

杨高升 , 胡梦柳 , 杨丰潞 . 兼顾效率和公平的江苏省水污染物排放总量分配研究[J]. 长江流域资源与环境, 2024 , 33(4) : 833 -843 . DOI: 10.11870/cjlyzyyhj202404013

Abstract

Regional total water pollutant allocation is the key to inter-regional equitable coordination and efficient economic development. In order to balance efficiency and equity, the optimal efficiency solution with the smallest distance from the ideal equity solution s taken as the final solution, thus the total emissions allocation model s constructed and the total COD allocation scheme s calculated for each prefecture-level city for the "14th Five-Year Plan". Results show that: (1) Yancheng and Xuzhou, which halarger historical COD emissions, allocated 14.2% and 12.1% of Jiangsu Province's emissions, which manifest historical and developmental equity, and they b18.5% and 10.8% of the province's emissions reduction quota, evidencing the principle of equity of "whoever pollutes governs"; (2) Wuxi and Changzhou, higher economical level and unit emission output, in line with the requirement of efficiency prioritization, as the final scheme of emission allocation s larger than the equity scheme. Based on this, Jiangsu Province prefecture-level cities divided into four categories based on COD emission reduction rate and per capita GDP, so as to separately explore and discuss the path of sustainable development.
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