Adoption status and factors influencing adoption of livestock vaccination in India: An application of multinomial logit model

被引:0
|
作者
Rathod, Prakashkumar [1 ,3 ]
Chander, Mahesh [2 ]
机构
[1] ICAR Indian Vet Res Inst, Izatnagar 243122, Uttar Pradesh, India
[2] ICAR Indian Vet Res Inst, Div Extens Educ, Izatnagar 243122, Uttar Pradesh, India
[3] Vet Coll, Dept Vet & AH Extens, Bidar, Karnataka, India
关键词
Adoption; Dairy innovation; Livestock technology; Livestock vaccination; Multinomial logit model; POOR FARMERS;
D O I
暂无
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
The present study highlighted the efforts of government of India for livestock health and disease control, adoption status of livestock vaccination technology, constraints as perceived by farmers and identified factors affecting adoption of vaccination in India using multinomial logit model. The primary data from 360 dairy farmers of 4 states in North India and secondary data from various sources were used for this purpose. The adoption status revealed that majority of the respondents partially adopted vaccination for more than 9 years, followed by adoption since 6-9 years depicting a highly significant difference among the respondents across the states. Multinomial logit model depicted the Chi-square value of 110.05 which showed that likelihood ratio statistics are highly significant suggesting that model was fit for explanation. The variables 'distance to veterinary institution' or 'animal healthcare centre' and livestock holding were significantly associated with the probability that the respondent will be a full adopter of vaccination. The study suggested that researchers and extension experts need to make farmers more aware about the benefits of vaccination. Further, the scientists have to analyze the problems of dairy farmers and find suitable solutions for higher diffusion and adoption at field conditions by participatory technology generation and transfer approach.
引用
收藏
页码:1061 / 1067
页数:7
相关论文
共 50 条
  • [41] Sociotechnical analysis of factors influencing IoT adoption in healthcare: A systematic review
    Kronlid, Carl
    Brantnell, Anders
    Elf, Marie
    Borg, Johan
    Palm, Klas
    TECHNOLOGY IN SOCIETY, 2024, 78
  • [42] Factors influencing users' adoption and use of conversational agents: A systematic review
    Ling, Erin Chao
    Tussyadiah, Iis
    Tuomi, Aarni
    Stienmetz, Jason
    Ioannou, Athina
    PSYCHOLOGY & MARKETING, 2021, 38 (07) : 1031 - 1051
  • [43] The adoption of biosecurity measures and its influencing factors in Bangladeshi layer farms
    Alam, Mohammad Jahangir
    Begum, Ismat Ara
    Al Mamun, Md. Abdullah
    Iqbal, Md. Asif
    Mckenzie, Andrew M.
    DISCOVER SUSTAINABILITY, 2025, 6 (01):
  • [44] Adoption of Artificial Intelligence in Schools: Unveiling Factors Influencing Teachers' Engagement
    Cukurova, Mutlu
    Miao, Xin
    Brooker, Richard
    ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2023, 2023, 13916 : 151 - 163
  • [45] Factors influencing the adoption of biological control technologies in floriculture under glass
    Dekeyzer, M
    XIIITH INTERNATIONAL SYMPOSIUM ON HORTICULTURAL ECONOMICS, 1996, (429): : 67 - 74
  • [46] FACTORS INFLUENCING THE ADOPTION OF SUSTAINABLE AGRICULTURAL PRACTICES IN DEVELOPING COUNTRIES: A REVIEW
    Tey, Yeong Sheng
    Li, Elton
    Bruwer, Johan
    Abdullah, Amin Mahir
    Brindal, Mark
    Radam, Alias
    Ismail, Mohd Mansor
    Darham, Suryani
    ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL, 2017, 16 (02): : 337 - 349
  • [47] High interest, low adoption. A mixed-method investigation into the factors influencing organisational adoption of blockchain technology
    Dehghani, Milad
    Kennedy, Ryan William
    Mashatan, Atefeh
    Rese, Alexandra
    Karavidas, Dionysios
    JOURNAL OF BUSINESS RESEARCH, 2022, 149 : 393 - 411
  • [48] Factors Influencing Time to Adoption for Dogs in a Provincial Shelter System in Canada
    Kay, Aileigh
    Coe, Jason B.
    Young, Ian
    Pearl, David
    JOURNAL OF APPLIED ANIMAL WELFARE SCIENCE, 2018, 21 (04) : 375 - 388
  • [49] Factors influencing the adoption of precision agricultural technologies: a review for policy implications
    Tey, Yeong Sheng
    Brindal, Mark
    PRECISION AGRICULTURE, 2012, 13 (06) : 713 - 730
  • [50] Factors influencing the adoption of precision agricultural technologies: a review for policy implications
    Yeong Sheng Tey
    Mark Brindal
    Precision Agriculture, 2012, 13 : 713 - 730