@inproceedings{oai:kutarr.kochi-tech.ac.jp:00001036,
 author = {Asavaroungpipop, Narongrid},
 book = {Society for Social Management Systems Internet Journal},
 issue = {1},
 month = {Mar},
 note = {Agricultural cooperatives are very important to the Thai economy. The application of logit model for Early Warning System (EWS) to indicate the stability of the cooperative business operation from its financial ratios is necessary to deal with or to prevent financial disasters that might be occurred. The result from the model is a summary of the current operation results from financial data showing which cooperatives groups are “stable” or “unstable” in comparison to general agricultural cooperatives. This will be useful for both stable and unstable cooperatives. Stable cooperatives acknowledge this information and carry out its business operation with carefulness. Unstable cooperatives can take that signal as Early Warning System to improve their business operation before it is too late. 647 cooperatives were analyzed here, classified into 3 different sizes which were the small and medium, large, and very large cooperatives. The findings were as follows; The financial indicators in the model for small and medium sized agricultural cooperatives consisted of the capital reserve to total asset ratio and the return on asset with coefficient of 10.22416 and 0.56687, respectively. The constant was -3.00182. The accuracy of the model used for early warning was 88.9%. The financial indicators in the model for large-sized agricultural cooperatives consisted of the return on asset and the capital reserve growth rate with coefficient of 1.77554 and 0.00007, respectively. The constant was -5.71804. The accuracy of the model used for early warning was 85.0%. The financial indicators in the model for very large-sized agricultural cooperatives consisted of the capital reserve to total asset ratio, the return on asset, the asset growth rate, and the profit growth rate with coefficient of 8.63229, 1.34392, 0.00077, and 0.00006, respectively. The constant was -3.71031. The accuracy of the model used for early warning was 88.9%.},
 publisher = {Society for Social Management Systems},
 title = {Financial Indicators For Early Warning System Of Agricultural Cooperatives In Thailand},
 volume = {6},
 year = {2010}
}