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基于CVM多情景下的耕地生态效益农户支付/受偿意愿分析——以河南省焦作市为例
引用本文:高汉琦,牛海鹏,方国友,梅泽勇.基于CVM多情景下的耕地生态效益农户支付/受偿意愿分析——以河南省焦作市为例[J].资源科学,2011,33(11):2116-2123.
作者姓名:高汉琦  牛海鹏  方国友  梅泽勇
作者单位:1. 河南理工大学测绘与国土信息工程学院,焦作,454000
2. 郑州大学信息管理系,郑州,450001
基金项目:教育部人文社会科学研究青年基金项目(编号:11YJC790139);河南理工大学博士基金项目(编号:B2011-045);河南理工大学研究生学位论文创新基金资助项目(编号:CX2010-21)。
摘    要:在分析耕地生态服务功能特征及耕地资源和社会经济环境等对耕地生态影响的主要因素的基础上,对焦作市未来不同情景下的耕地生态服务功能变化过程进行模拟,并采用条件价值评估法中连续型的支付卡方式调查农户对耕地生态效益的支付意愿(WTP)和受偿意愿(WTA)。研究表明:①在“经济、生态协调发展情景”、“现状情景”和“经济优先发展情景”这三种假设情景下,受访农户的平均WTP和wTA随假设生态环境的恶化而逐步提高,每户每年分别为74.7元、116元、162.9元和458.3元、497.2元、754.8元;②由于耕地保护意识的增强,受访农户已经意识到耕地生态效益的存在,82.95%的受访农户对耕地有正的支付意愿,但因支付工具选取不同,可能会造成支付意愿的偏差;③支付意愿和受偿意愿的不对称性在本研究中得到反映,WTA/WTP的平均值比值为4.8,与已有研究的一般范围较近;④受访农户对不同情景间耕地生态环境的对比可以制约支付意愿区间的大小,从而提高WTP整体的稳定性和准确性。

关 键 词:耕地保护  生态效益  条件价值评估法(CVM)  多情景

Assessment of WTP /WTA on Ecological Benefits of Cultivated Land Based on CVM Multiple Scenarios: A Case Study of Jiaozuo City, Henan Province
GAO Hanqi,NIU Haipeng,FANG Guoyou and MEI Zeyong.Assessment of WTP /WTA on Ecological Benefits of Cultivated Land Based on CVM Multiple Scenarios: A Case Study of Jiaozuo City, Henan Province[J].Resources Science,2011,33(11):2116-2123.
Authors:GAO Hanqi  NIU Haipeng  FANG Guoyou and MEI Zeyong
Institution:School of Surveying and Land Information Engineering of Henan Polytechnic University, Jiaozuo 454000, China;School of Surveying and Land Information Engineering of Henan Polytechnic University, Jiaozuo 454000, China;School of Surveying and Land Information Engineering of Henan Polytechnic University, Jiaozuo 454000, China;Department of Information Management of Zhengzhou University, Zhengzhou 450001, China
Abstract:In recent years, the Contingent Value Method (CVM) has been widely used to estimate the non-market value of the environment. The purpose of this study was to investigate change trends which can reflect the farmer household's willingness to pay (WTP) and willingness to accept (WTA) for ecological benefits of cultivated land using market simulation and the CVM, and to set different scenarios of the assessment areas under the future development model. A new ecological benefit measurement method combined with different scenarios was developed, which has a certain flexible interval so as to meet the dynamic requirements of ecological compensation for cultivated land. Meanwhile, exploring the asymmetry relationship between WTA and WTP using the developed method was aimed at determining a more reasonable characterization scale to measure the ecology benefits. Based on the major factors affecting the characteristics of land ecological services function, change processes of land ecological service function in different scenarios in Jiaozuo City, Henan Province, were simulated. Moreover, the land ecological benefit was assessed by the payment card continuous mode of the CVM to investigate the WTP and WTA by the respondents. Results show that 1) the average WTP and WTA of the respondents gradually increased with the assumed deteriorating environment. The WTP of every household per year based on three formulated scenarios were estimated to be 74.7 Yuan, 116 Yuan, 162.9 Yuan, respectively. The WTA are 458.3 Yuan, 497.2 Yuan, 754.8 Yuan; 2) With increasing awareness of land protection, respondents have been already aware of the existence of the land ecological benefit, showing that 82.95% of the respondents have a positive WTP to protect agricultural land. However, different payment tools may cause the deviation in WTP. Deviation mainly comes from the prudent degrees of respondents, who regard the compulsory labor and pay as a payment tool, but the former prudent degree is less than the latter one; 3) There clearly exists a disparity between WTP and WTA, showing a WTA/WTP ratio of 4.8, which seems to be similar to some latest published results; 4) This study also shows that the willingness range of the payment for the respondents can be constrained by the degree of contrast among the cultivated land environments under a variety of scenarios.
Keywords:Arable land protection  Ecological benefit  Contingent Value Method (CVM)  Multiple Scenarios
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