An empirical study of farmer households willingness to participate into construction of non-commercial forests

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1 (3): Journal of Zhejiang Forestry College ( ; ; ) : 10 Logistic : ; ; 3 17 : ; ; ; logistic ; : S7-05 : A : (2010) An empirical study of farmer households willingness to participate into construction of non-commercial forests ZHU Zhen 1 SHEN Yue-qin 1 WU Wei-guang 1.2 DONG Dun-yi 3 (1. School of Economics and Management Zhejiang Forestry College Lin an Zhejiang China; 2. Geographical Science and Resource Institute Chinese Academy of Sciences Beijing China; 3. Forest Enterprise of Anji County Anji Zhejiang China) Abstract: It s worth discussing whether the local farmers have improved their understanding of ecological value of forests or joined the construction of non-commercial forests actively through the related forest policies. This paper used the Logistic modeling to analyze farmer households willingness to join the construction of non-commercial forests based on a survey of farmer households in 10 villages of Changxing. According to the findings the paper gave some suggestions on improving farmer households willingness to join the construction of non-commercial forests such as expanding the source of non-agriculture income of farmers improving the non-commercial forest compensation standard providing trainings for farmers improving their awareness of ecological environment. [Ch 3 tab. 17 ref.] Key words: forest economics; analysis of willingness; non-commercial forest; logistic analysis; Changxing County [1] ( ) ( ) [2-3] ( ) 2 : : ; : : (2005C35013); (ZD ) : zhuzhen @126.com : shenyueqin-zj@163.com

2 27 3 : 431 ; 2 [4] ; [5] [6] (willing to pay WTP) (condition [7] [8-9] value method CVM) Logistic 10 Logistic km (gross domestic product GDP) [10 ] 6.80 hm m 3 46% hm 2 1/ hm hm hm % [ ( ) ] 15 () () () (1) 1 Table 1 Condition of cases samples in 5 towns / : 1 ξ 5 () 85.6% ;

3 [11] ; 2 φ ( 0) [12] ; ( [13] ) ( hm 2 ) ; 3 χ [14] 4 λ [15] a hm -2 a % % : % % %14.58% 2007 (2) 23.51% 36.2% 55.82% 2.3 Logistic (1) (P):

4 27 3 : 433 Table 2 2 Characteristic statistics of sampling farmers t / / ** / /hm / / /a * /% /( ) / * : t T ** P<0.01 * P<0.05 (1): Z X 1 X 2 X P P = 1/(1 + e -z ) (1) Z = B 0 + B 1 X 1 + B 2 X B P X P (2) (1) (2) P/(1 - P) (3) : ln[p/(1-p)] = B 0 + B 1 X 1 + B 2 X B P X P (3) (ξ 1 ) (ξ 2 ) (ξ 3 ); (φ 1 ) (φ 2 ) (φ 3 ) (φ 4 ); (χ 1 ) (χ 2 ) (χ 3 ); (λ) Z : Z = B 0 + B 1 (ξ i ) + B 2 (φ i ) + B 3 (χ i ) + B 4 (λ) + μ (4) (4): μ ; B 0 B 1 B 2 B 3 B 4 SPSS 3 χ 2 (P<0.001)

5 (Nagelkerke R Square) % Table 3 Estimate results of logistic model B 3 Wald (B) Wald [exp(b)] exp(b) 1.134* (odds ratio) Logistic 0.259* : * (5.00% ) 0.136** % 32.2% χ : * 0.05 ** ; (85.71%) ; % 1 a 29.50% ; % %

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