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

PRAKASH KUMAR RATHOD; MAHESH CHANDER

doi:10.56093/ijans.v86i9.61584

Authors

PRAKASH KUMAR RATHOD Veterinary College, Bidar, Karnataka
MAHESH CHANDER Veterinary College, Bidar, Karnataka

https://doi.org/10.56093/ijans.v86i9.61584

Keywords:

Adoption, Dairy innovation, Livestock technology, Livestock vaccination, Multinomial logit model

Abstract

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.

Downloads

Download data is not yet available.

References

Adesina A A, Mabila D, Nakamleu G B and Endamana D. 2000. Econometric analysis of the determinants of adoption of alley farming by farmers in the forest zone of southwest Cameroon. Agricultural Ecosystem and Environment 80: 255–65. DOI: https://doi.org/10.1016/S0167-8809(00)00152-3

Basunathe V K, Sawarkar S W and Sasidhar P V K. 2010. Adoption of dairy production technologies and implications for dairy development in India. Outlook on Agriculture 39:134–40. DOI: https://doi.org/10.5367/000000010791745385

Chander M, Dutt T, Ravikumar R and Subrahmanyeswari B. 2010. Livestock technology transfer service in India: A review. Indian Journal of Animal Science 80:1115–25.

FAOSTAT. 2014. Retrieved from http://faostat.fao.org/ {20–July– 2014}

GOI (Government of India). 2012 a. Nineteenth Livestock Census, Department of Animal Husbandry Dairying and Fisheries, Ministry of Agriculture, Government of India, New Delhi, India.

GOI (Government of India). 2012 b. Report of the Working Group on Animal Husbandry and Dairying. 12th Five year plan, 2012– 2017. Planning Commission, New Delhi.

GOI (Government of India). 2010–2014. Annual Report during 2010–2014 of Department of Animal Husbandry, Dairying & Fisheries, Ministry of Agriculture, Government of India, New Delhi.

Heffernan C, Thomson K and Nielsen L. 2008. Livestock vaccine adoption among poor farmers in Bolivia: Remembering innovation diffusion theory. Vaccine 26: 2433–42. DOI: https://doi.org/10.1016/j.vaccine.2008.02.045

Heffernan C, Thomson K and Nielsen L. 2011. Caste, livelihoods and livestock: An exploration of the uptake of livestock vaccination adoption among poor farmers in India. Journal of International Development 23: 103–18. DOI: https://doi.org/10.1002/jid.1643

Moran J. 2014. The Feeding of By-Products on Small Holder Dairy Farms in Asia and Other Tropical Regions. (Eds) Moran John. Final report of FAO E-Conference held in November- December, 2013.

Musaba E C. 2010. Analysis of factors influencing adoption of cattle management technologies by communal farmers in Northern Namibia. Livestock Research for Rural Development 22 (6). Article #104. Retrieved December 30, 2013, from http://www.lrrd.org/lrrd22/ 6/ musa22104.htm

Pundo M O and Fraser G C G. 2006. Multinomial logit analysis of household cooking fuel choice in rural Kenya: The case of Kisumu district. Agrekon 45: 24–37. DOI: https://doi.org/10.1080/03031853.2006.9523731

Rathod P and Chander M. 2014. Identification of socio- economically important dairy innovations in India: A perspective of scientists. (Ed.) Karamidehkordi E. Proceedings of the First International Conference of the Asia and Pacific Islands Rural Advisory Services (APIRAS) and the Fifth Congress of Extension and Education in Agriculture and Natural Resources Management: Facilitating Information and Innovations for Empowering Family Farmers. 2–4 September, 2014, University of Zanjan, Iran. pp–101.

Rathod P, Hiremath S, Manjunathachar H V, Balaraj B L and Bangar Y. 2014. Adoption of livestock innovations and factors affecting their adoption in Bidar district of Karnataka. The Indian Journal of Field Veterinarians 9:62–65.

Rezvanfar A. 2007. Communication and socio-personal factors influencing adoption of dairy farming technologies amongst livestock farmers. Livestock Research for Rural Development 19 (33) Retrieved September 3, 2013, from http://www.lrrd.org/lrrd19/3/rezv19033.htm

Singh B, Shiv Prasad, Sinha D K and Verma M R. 2013. Estimation of economic losses due to foot and mouth disease in India. Indian Journal of Animal Sciences 83: 964–70.

Yirga C T. 2007. ‘The dynamics of soil degradation and incentives for optimal management in central highlands of Ethiopia.’ Thesis, Ph.D. Department of Agricultural Economics, Extension and Rural Development. University of Pretoria, South Africa.