TY  - JOUR
T1  - Applying Information Entropy to Decide the Sample Amount and Content in Contingent Valuation Survey
AU - , 1Xu Zhongmin AU - , 2Cheng Guodong AU - , 3Long Aihua 
JO  - Pakistan Journal of Social Sciences
VL  - 2
IS  - 3
SP  - 171
EP  - 175
PY  - 2004
DA  - 2001/08/19
SN  - 1683-8831
DO  - pjssci.2004.171.175
UR  - https://makhillpublications.co/view-article.php?doi=pjssci.2004.171.175
KW  - 
AB  - Contingent valuation methods are usually accompanied with large costs. The empirical analysis of Ejina ecosystem service survey shows that information entropy can be used to judge if survey sample amounts are appropriate. Analysis results showed that choosing 400 samples can get information equivalent to distribute 646 samples in our empirical survey. Simultaneously, the calculated average mutual information and statistical test showed that we should investigate related social economic information with interviewee to decreasing uncertainty. The categories of education level, income, census register and residence site of interviewee should be preferred investigated, which can get more average mutual information and have significant influence on mean willingness to pay than the categories of age and sex. Usually, the higher average mutual information of interviewee`s social economic information, the higher the influence of social economic information on the willingness to pay.
ER  -