Article ID: | iaor20121912 |
Volume: | 15 |
Issue: | 7 |
Start Page Number: | 22 |
End Page Number: | 26 |
Publication Date: | Feb 2012 |
Journal: | Forest Policy and Economics |
Authors: | Li Ying, Meng Yao |
Keywords: | forestry, economics, statistics: regression |
In order to improve the worsening air pollution problem in Chinese cities, Chinese government has been vigorously developing the building of urban forest under the policy of ‘government leading, market driving and residents participating’. However, residents are still unwilling to join in city greening. Therefore, it is very necessary to find out some effective methods to encourage residents to participate in urban forest ecological service. The paper firstly presents 7 Logistic regression models for residents' supplying forest ecological service, and then the probabilities of the residents' willingness and unwillingness to supply urban forest ecological service are calculated using the proposed models. The probability analysis reveals that the invested amounts of residents with different income are with great difference, and residents unwilling to pay are mainly those who are over 60years old or who have monthly income of less than RMB 600. Finally, the paper proposes some valuable suggestions to encourage residents to supply urban forest ecological service.