自然资源学报 ›› 2010, Vol. 25 ›› Issue (9): 1589-1595.doi: 10.11849/zrzyxb.2010.09.018

• 资源评价 • 上一篇    下一篇

城市水价预测长期边际成本模型的GMM参数估计

李翠梅1,2,3, 王建华1, 王浩1, 秦大庸1, 刘遂庆3   

  1. 1. 中国水利水电科学研究院 水资源所,北京 100044;
    2. 苏州科技学院 环境科学与工程学院, 江苏 苏州 215011;
    3. 同济大学 环境科学与工程学院, 上海 200092
  • 收稿日期:2009-09-10 修回日期:2010-07-01 出版日期:2010-09-20 发布日期:2010-09-20
  • 作者简介:李翠梅(1974- ),女,博士,副教授,硕士研究生导师,主要研究方向为水资源与给水排水工程设计运行的最优化。E-mail:cuimeili@163.com
  • 基金资助:

    国家自然科学基金创新研究群体项目(50721006);住房与城乡建设部科学技术项目"城市供水边际成本定价模型与应用关键技术研究"(2010-K7-3);江苏省环境科学与工程重点实验室开放课题(Zd081204);江苏省高校自然科学基金(08KJD610008)阶段性成果。

GMM Estimation for Water Price Forecasting Based on Long-term Marginal Cost Model

LI Cui-mei1,2,3, WANG Jian-hua1, WANG Hao1, QIN Da-yong1, LIU Sui-qing3   

  1. 1. China Institute of Water Resources and Hydropower Research, Beijing 100044, China;
    2. Department of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215011, China;
    3. School of Environmental Science and Engineering, Tongji University, Shanghai 200092, China;
  • Received:2009-09-10 Revised:2010-07-01 Online:2010-09-20 Published:2010-09-20

摘要: 论文介绍了GMM方法原理,应用GMM估计方法对城市水价预测长期边际成本数学模型的参数估计进行了研究,通过用水人数、用水量、用水结构、可变成本及固定成本等水价相关因子的参数估计,实现水价长期边际成本的预测,并以苏州市为实例进行了案例研究。研究结果表明:应用GMM的样本估计解决了长期边际成本数学模型需求数据量较大的要求,提高了水价长期边际成本预测模型的实用性。

关键词: 水价, 长期边际成本, GMM, 参数估计

Abstract: This paper described the principle of GMM Methods and studied the parameter estimation of urban water price forecasting mathematical model on long-term marginal cost using the GMM estimation methods. By the parameter estimation for water user number, water consumption, water structure, water supply variable costs and water supply fixed costs, it aims to achieve the long-term marginal cost forecasting of water price by taking Suzhou City as a case. The results showed that by application of GMM sample estimation, the demand of a large amount of data required for mathematical model was resolved and the long-term marginal cost of water price forecasting model’s practicality was improved.

Key words: water price, long-term marginal cost, GMM, estimation

中图分类号: 

  • F323.213