Factors Influencing the Activeness of Agricultural Co-operative Members in the Yogyakarta Special Region

  • Lestari Rahayu WaluyatiEmail author
  • Jamhari
  • Abi Pratiwo Siregar
Conference paper


This study aimed to determine factors that influenced the activeness of agricultural co-operative members, using logistic regression analysis. Data were obtained from interviews. Three agricultural co-operatives were selected as samples for analysis: Cinta Manis in Bantul Regency, Ngudi Makmur in Sleman Regency, and Suka Maju in Gunungkidul Regency. The results showed that income and loan arrears significantly influenced the activeness of agricultural co-operative members. It was found that when other variables remained constant, members who had higher incomes were more likely to be active. Moreover, members who had loan arrears, ceteris paribus, were less likely to be active than members who did not have loan arrears. On the other hand, age, educational level, gender, membership duration, and the existence of input (seed, fertilizer, pesticide, herbicide) into the business unit did not significantly influence members’ activeness.


Activeness Agricultural co-operative Income arrears Loan arrears Logistic regression 


  1. 1.
    FAO, IFAD and WFP: Agricultural co-operatives: paving the way for food security and rural development. (2012). Accessed 1 Oct 2016
  2. 2.
    FDC: The Agricultural Cooperative in Denmark. (1998). Accessed 1 Oct 2016
  3. 3.
    GEAC: Guidelines for Establishing Agricultural Cooperatives. (2009). Accessed at on 1 Oct 2016
  4. 4.
    Dubey, L.R., et al.: Socio-economic profile of members and non-members of dairy co-operatives in Champawat district of Uttarakhand. Asian J. Dairy Food Res. 33, 263 (2014)CrossRefGoogle Scholar
  5. 5.
    Burchi, F., Vicari, S.: To be or not to be a member of a primary co-operative in Brazil: any difference in household decision-making and gender equality? Oxf. Dev. Stud. 42(3), 343–364 (2014)CrossRefGoogle Scholar
  6. 6.
    Widarjono, A.: Analisis Statistika Multivariat Terapan. (Statistical Analysis of Applied Multivariate). UPP STIM YKPN. Yogyakarta (2010.) (in Bahasa Indonesia)Google Scholar
  7. 7.
    Stock and Watson.: Introduction to Econometrics, 3rd edn. Addison-Wesley Series (2007)Google Scholar
  8. 8.
    Chechin, A., et al.: Drivers of pro-active member participation in agricultural co-operatives: evidence from Brazil. Ann. Public Cooper. Econ. 84(4), 443–468 (2013). doi: 10.1111/apce.12023 CrossRefGoogle Scholar
  9. 9.
    Savage, J.K., Volkin, D.: Cooperative criteria. FCS Service Report 71 (1965)Google Scholar
  10. 10.
    United States Department of Agriculture: Agricultural Cooperatives Services. Cooperatives Members Responsibilities and Control. (1993). Accessed at 1 Oct 2016

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Lestari Rahayu Waluyati
    • 1
    Email author
  • Jamhari
    • 1
  • Abi Pratiwo Siregar
    • 1
  1. 1.Faculty of AgricultureUniversitas Gadjah MadaYogyakartaIndonesia

Personalised recommendations