TY - JOUR
T1 - Technical efficiency analysis
T2 - Management factor as determinants of saving and credit cooperatives’ health
AU - Purmiyati, Atik
AU - Handoyo, Rossanto Dwi
AU - Wisudanto,
N1 - Publisher Copyright:
© 2022 The Authors
PY - 2022/12
Y1 - 2022/12
N2 - The main purpose of this study is to analyze the technical efficiency of Saving and Credit Cooperatives (SACCOs) and the impact for SACCOs’ health using primary data obtained from a survey of 178 respondents of SACCOs in East Java, Indonesia. The three stages of the analysis used are Data Envelopment Analysis (DEA), Tobit Regression and Logistic Regression. Based on the results of the analysis using the DEA method, it is concluded that the average performance that can be achieved by SACCOs with existing technology is 65 % of the maximum potential yield. There are 61.3 % of SACCOs which are declared technically inefficient. The factors that influence the level of technical efficiency of Saving and Credit Cooperatives are interest, loan term, manager's age, and type of business. Furthermore, the factors that affect the health of the cooperative based on logistics analysis are the variable frequency of management meetings, age of the cooperative, fixed deposits and average loan. This study supports the SACCOs in becoming more efficient and healthy with the influence of external policy (from government) and internal policy (from SACCOs).
AB - The main purpose of this study is to analyze the technical efficiency of Saving and Credit Cooperatives (SACCOs) and the impact for SACCOs’ health using primary data obtained from a survey of 178 respondents of SACCOs in East Java, Indonesia. The three stages of the analysis used are Data Envelopment Analysis (DEA), Tobit Regression and Logistic Regression. Based on the results of the analysis using the DEA method, it is concluded that the average performance that can be achieved by SACCOs with existing technology is 65 % of the maximum potential yield. There are 61.3 % of SACCOs which are declared technically inefficient. The factors that influence the level of technical efficiency of Saving and Credit Cooperatives are interest, loan term, manager's age, and type of business. Furthermore, the factors that affect the health of the cooperative based on logistics analysis are the variable frequency of management meetings, age of the cooperative, fixed deposits and average loan. This study supports the SACCOs in becoming more efficient and healthy with the influence of external policy (from government) and internal policy (from SACCOs).
KW - Data envelopment analysis
KW - Efficiency
KW - Logistic regression
KW - Savings and credits cooperatives
KW - Tobit regression
UR - http://www.scopus.com/inward/record.url?scp=85140978380&partnerID=8YFLogxK
U2 - 10.1016/j.jcom.2022.100186
DO - 10.1016/j.jcom.2022.100186
M3 - Article
AN - SCOPUS:85140978380
SN - 2213-297X
VL - 10
JO - Journal of Co-operative Organization and Management
JF - Journal of Co-operative Organization and Management
IS - 2
M1 - 100186
ER -