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条件估值法评估资源环境价值关键方法的改进

胡喜生1,洪伟2,吴承祯2,3**,邱荣祖1   

  1. 1福建农林大学交通与土木工程学院, 福州 350002; 2福建农林大学森林生态研究所, 福州 350002; 3武夷学院生态与资源工程系, 福建南平 354300)
  • 出版日期:2013-11-10 发布日期:2013-11-10

Improvement of key techniques of contingent valuation method in estimating environmental resource value. 

HU Xi-sheng1, HONG Wei2, WU Cheng-zhen2,3**, QIU Rong-zu1   

  1. (1School of Transportation and Civil Engineering, University of Fujian Agriculture and Forestry, Fuzhou 350002, Fujian, China; 2Research Institute of Forest Ecology, University of Fujian Agriculture and Forestry, Fuzhou 350002, Fujian, China; 3Department of Ecology and Resource Engineering, Wuyi University, Nanping 354300, Fujian, China)
  • Online:2013-11-10 Published:2013-11-10

摘要: 条件估值法凭借自身的灵活性、广泛的适用性和强大的数据来源能力,21世纪以来,在资源环境价值评估领域的重要性不断上升。由于条件估值法引入国内时间尚短,缺少一套适用的原则体系加以指导,在具体实证研究中存在不少的问题和困惑,必须对条件估值法的各个环节进行精心设计、严谨实施和审慎分析,才能获得可靠的结果。为此,围绕问卷的设计、实施和统计分析3个重要环节,从核心估值问题、初始投标值、总体和样本、调查方式、支付意愿的表达形式、支付意愿的影响因素回归模型、条件估值法的信度和效度检验7个方面系统地分析了条件估值在资源环境价值评估中关键方法的改进。最后从研究方法自身、问卷内容、实施过程和数据统计与分析4个方面对条件估值法可能存在的偏差进行了归纳总结,并提出了相应的控制与避免措施。

关键词: 净光合速率, 高通量测序, 群落多样性, 细菌16S rRNA

Abstract: Contingent valuation method (CVM), owing to its flexibility, wide applicability, and mighty data resources, has become one of the most widely used techniques in estimating environmental resource value. However, due to the short time of CVM being introduced to China, it is lack of a set of applicable principles to guide the empirical studies in China, leading to a lot of problems and controversies concerning CVM, such as the validity and reliability of the estimate results. It is believed that CVM is still a promising method to estimate environmental resource value under the premise of extremely careful and proper conduction of the survey, including questionnaire design, survey execution, and data processing. From the three key steps of questionnaire design, implement, and statistic analysis, and from the aspects of core estimate issue, initial bid, totality and sample, survey way, statistic method of willing to pay (WTP), regression model of the factors affecting WTP, and validity and reliability of CVM, this paper analyzed the key techniques of using CVM to improve the estimation of environmental resource value. The possible biases existing in CVM were summarized from the valuation method itself, questionnaire details, implementing process, and data statistics, and the corresponding solutions were proposed.

Key words: high throughput, bacterial 16S rRNA gene, community diversity., net photosynthesis rate