RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • Factors Influencing Farmers’ Decisions in Farm Machineries Usage: The Case of Vegetable Farmers in Quezon Province, Philippines

        Fritz Jerald V. Principe,Jeanette Angeline B. Madamba,James Roldan S. Reyes,Loida E. Mojica,Mar B. Cruz 아시아무역학회 2020 Journal of Asia Trade and Business Vol.7 No.2

        Purpose – The study assessed the influence of some variables relevant to vegetable farmers’ decisions in farm machinery usage. The decision of farmers in using farm machineries is determined by a number of social, technical, environmental and economic factors. Design/Methodology/Approach – The binary logit model was employed to determine the relationship of the predetermined factors on farmers’ use of a single-specific farm machine. Furthermore, the study utilized negative binomial regression to assess the factors influencing the decisions of farmers in using various farm machineries in their farming operations. Findings – Results showed that majority of the farmers still follow traditional farming methods using very limited farm technologies. Farmers face the challenge of optimizing their land use, and this includes their decision whether or not to use farm machineries in their farming operations in order to boost production. Various factors are considered, more than just the cost of technology. Thus, a combination of household-specific, economic, technology, institutional and moderating factors influences the technology adoption decisions of vegetable farmers. Moreover, it was revealed that formal education, household size, household income, cash availability, farm size, access to extension workers, attendance in seminars, trainings and workshops, and on-farm demo participation are all positively related to the probability of farmers’ usage of identified farming machines. Conversely, farming experience, cost of technology, technology triability, credit access, and farm distance to market are all found to be negatively related to the probability of farmers’ usage of farm machineries. Research Implications – Various recommendations were offered to address challenges encountered by farmers in terms of farm machinery usage including changing the farmers’ mindset from a traditional perspective to a market-oriented one via the R.E.S.E.T. model.

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼