2010Unpublished venueRequires access

Evaluation on non-use values of typical lake wetlands in Wuhan

Zhongming Zheng

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Abstract

Evaluation on non-use values of urban lake wetlands,not only provide the basic data for the establishment of regional ecological accounts,but also enlarge the strength of conservation and governance investment of urban lakes of government departments.The contingent valuation method(CVM) was used in this paper to evaluate the non-use value of the typical lakes in Wuhan.The results indicated that 88.2% of the respondents thought that it was very important for the non-use values of urban lakes,that 41.2% of the respondents were not aware of the environmental changes of urban lakes in Wuhan,and that the importance of the degree of the three components of non-use values was existence value heritage value option value.Furthermore,the rate of willingness to pay(WTP) for Yandong lake、East lake、Ziyang lake was 70.8%,70.1%,56.9%,the mean WTP per person was 48.4 yuan·a-1,49.6 yuan·a-1,and 44.0 yuan·a-1,and the non-use values was 284million yuan·a-1,288 million yuan·a-1and 207 million yuan·a-1,respectively,the shown trend was semi-natural lake natural lake artificial lake.The impact analysis of total samples factors on WTP showed that age,annual income,educational level were correlated remarkably with WTP,while gender,profession,professional title were not.In addition,annual income,education level and professional title were also correlated remarkably with WTP value,however,gender,age,profession also weren't.

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Evaluation on non-use values of urban lake wetlands,not only provide the basic data for the establishment of regional ecological accounts,but also enlarge the strength of conservation and governance investment of urban lakes of government departments.The contingent valuation method(CVM) was used in this paper to evaluate the non-use value of the typical lakes in Wuhan.The results indicated that 88.2% of the respondents thought that it was very important for the non-use values of urban lakes,that 41.2% of the respondents were not aware of the environmental changes of urban lakes in Wuhan,and that the importance of the degree of the three components of non-use values was existence value heritage value option value.Furthermore,the rate of willingness to pay(WTP) for Yandong lake、East lake、Ziyang lake was 70.8%,70.1%,56.9%,the mean WTP per person was 48.4 yuan·a-1,49.6 yuan·a-1,and 44.0 yuan·a-1,and the non-use values was 284million yuan·a-1,288 million yuan·a-1and 207 million yuan·a-1,respectively,the shown trend was semi-natural lake natural lake artificial lake.The impact analysis of total samples factors on WTP showed that age,annual income,educational level were correlated remarkably with WTP,while gender,profession,professional title were not.In addition,annual income,education level and professional title were also correlated remarkably with WTP value,however,gender,age,profession also weren't.

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Available abstract

Evaluation on non-use values of urban lake wetlands,not only provide the basic data for the establishment of regional ecological accounts,but also enlarge the strength of conservation and governance investment of urban lakes of government departments.The contingent valuation method(CVM) was used in this paper to evaluate the non-use value of the typical lakes in Wuhan.The results indicated that 88.2% of the respondents thought that it was very important for the non-use values of urban lakes,that 41.2% of the respondents were not aware of the environmental changes of urban lakes in Wuhan,and that the importance of the degree of the three components of non-use values was existence value heritage value option value.Furthermore,the rate of willingness to pay(WTP) for Yandong lake、East lake、Ziyang lake was 70.8%,70.1%,56.9%,the mean WTP per person was 48.4 yuan·a-1,49.6 yuan·a-1,and 44.0 yuan·a-1,and the non-use values was 284million yuan·a-1,288 million yuan·a-1and 207 million yuan·a-1,respectively,the shown trend was semi-natural lake natural lake artificial lake.The impact analysis of total samples factors on WTP showed that age,annual income,educational level were correlated remarkably with WTP,while gender,profession,professional title were not.In addition,annual income,education level and professional title were also correlated remarkably with WTP value,however,gender,age,profession also weren't.

Key concepts: Contingent valuation, Wetland, Willingness to pay, Lake district, Value (mathematics), Total economic value, Valuation (finance), Geography

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