• DocumentCode
    138869
  • Title

    Degree of satisfaction with the forestry science and technology service for households and its influence factors

  • Author

    Ke Shuifa ; Zhang Zhitao ; Wang Bi ; Zhao Tiezhen

  • Author_Institution
    Sch. of Agric. Econ. & Rural Dev., Renmin Univ. of China, Beijing, China
  • fYear
    2014
  • fDate
    25-27 June 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Based on data from 275 questionnaires of HuiZe county, SiMao district and XinPing county in Yunnan province, the Logistic regression model was adopted in the paper to analyze the satisfaction of households about forestry science and technology service and its influence factors. Results showed that the influence factors including: Concern on new forestry technology, Cognition of forestry science and technology policies, Personal managerial expertise, Practice experiences, Times of attending related activities, Distance between home and forestry workstations, Age and Area of their forest land. Some suggestions were put forward as follows: to strengthen the propaganda of forestry science and technology service, to increase the number of service activities, to provide services based on the demand of households, to strengthen the construction of the forestry cooperative organization.
  • Keywords
    forestry; logistics; regression analysis; HuiZe county; SiMao district; XinPing county; Yunnan province; forestry cooperative organization; forestry science; forestry technology; forestry workstations; households; influence factors; logistic regression model; personal managerial expertise; practice experiences; service activities; technology policies; technology service; Cognition; Economics; Education; Forestry; Logistics; Organizations; Workstations; degree of satisfaction; forestry science and technology service; households; influencing factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management (ICSSSM), 2014 11th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-3133-0
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2014.6943386
  • Filename
    6943386