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Thirunavukkarasu, D.
- Lab to Land - Factors Driving Adoption of Dairy Farming Innovations among Indian Farmers
Abstract Views :275 |
PDF Views:74
Authors
Affiliations
1 Department of Veterinary and Animal Husbandry Extension Education, Veterinary College and Research Institute, Namakkal 637 002, IN
1 Department of Veterinary and Animal Husbandry Extension Education, Veterinary College and Research Institute, Namakkal 637 002, IN
Source
Current Science, Vol 111, No 7 (2016), Pagination: 1231-1234Abstract
In India sustaining dairy farming as a rural livelihood and to meet the growing demand of milk, necessitates development and dissemination of technology for improving the farm's output. There is also a need to understand how far existing innovations are adopted by farmers and factors influencing adoption and/or rejection. Hence, the factors that influence adoption and the extent of adoption were consolidated from past research using meta analysis and other techniques. It was found that at large-level farmer's knowledge (true effect size r value +0.64) and at medium-level (true effect size r value ranging from +0.32 to +0.47) attitude, risk-taking behaviour and economic motivation, milk production and sales, education, extension agency contacts and mass media exposure influenced adoption of dairy innovation. Further, along with the above factors poor innovation attributes were limiting adoption to 55%.Keywords
Dairying, Diffusion and Adoption, Innovation, Meta Analysis, Rural Livelihood.Full Text
References
- Delgado, C., Rosegrant, M., Steinfeld, H., Ehui, S. and Courbis, C., Livestock to 2020: the next food revolution. Food, Agriculture and the Environment Discussion Paper 28. IFPRI/FAO/ILRI, Washington D.C., USA, 1999.
- World Bank, Minding the stock: bridging public policy to bear on livestock development. Report No. 44010-GLB, Washington D.C., USA, 2009.
- DeCoster, J., Meta-analysis notes, 2009; http://www.stat-help.com/notes.html (accessed on 24 May 2014).
- Lyons, L. C. and Manassas, V. A., Meta analysis: methods of accumulating results across research domains; http://www.lyonsmarris.com/MetaA/macalc/MApaper.pdf (accessed on 24 May 2014).
- Field, A., Bluffer’s guide to meta-analysis, 2005; http://users.sussex.ac.uk/~andyf/meta.pdf (accessed on 24 May 2014).
- Joep, A. W. C., Frambach, R. T. and Bijimolt, T. H. A., Generalizations on consumer innovation adoption: a meta analysis on drivers of intention and behavior. Int. J. Res. Market., 2011, 28, 134–144.
- Cohen, J., Statistical Power Analysis for the Behavioural Sciences, Lawrence Erlbaum, NJ, 1988, 2nd edn, pp. 75–107.
- Rao, S. V. N., Kherde, R. L. and Tyagi, K. C., Why delay in farmers adoption of dairy technologies. Indian Dairyman, 1992, 44(6), 288–301.
- Rogers, E. M., Diffusion of Innovation, Free Press, New York, 2003, 5th edn, pp. 15–16.
- Sharma, N., Dangi, K. L. and Singh, S. P., Adoption of improved buffalo rearing practices in tribal area of Rajasthan. J. Dairying, Foods Home Sci., 2000, 19(2), 114–117.
- Singh, S., Kumar, R. and Meena, B. S., Adoption level of scientific farming practices by dairy farmers of Haryana. Indian Res. J. Ext. Educ., 2010, 11(2), 46–49.
- Patil, S., Naik, V. R. and Padaria, R. N., Adoption of improved dairy farming practices in South West Delhi district. J. Commun. Mobil. Sustain. Dev., 2013, 8(1), 69–72.
- Rangnekar, D. V., Livestock extension – need for a paradigm change, 2014; http://www.aesa-gfras.net/Resources/file/Blog%2032 May 2014.pdf (accessed on 24 May 2014).
- Rathod, P. and Chander, M., Are we generating need based and relevant livestock technologies? 2015; http://aesa-gfras.net/ Resources/file/f2f.pdf (accessed on 14 September 2015).
- Role of end-user behaviour on the adoption decision of an innovation: the case of preventive solutions to control bovine mastitis disease in dairy enterprise
Abstract Views :118 |
PDF Views:67
Authors
Affiliations
1 Farm Science Centre, Tamil Nadu Veterinary and Animal Sciences University, Kallakurichi 606 301, India
2 Directorate of Extension Education, Tamil Nadu Veterinary and Animal Sciences University, Kallakurichi 606 301, India
1 Farm Science Centre, Tamil Nadu Veterinary and Animal Sciences University, Kallakurichi 606 301, India
2 Directorate of Extension Education, Tamil Nadu Veterinary and Animal Sciences University, Kallakurichi 606 301, India
Source
Current Science, Vol 124, No 8 (2023), Pagination: 996-999Abstract
Adopting innovation is a crucial decision to increase output, productivity and reduce loss. Previous studies have suggested that technology attributes and socio-demographic factors influence the adoption of any innovation. This necessitates understanding the user behaviour in the adoption decisions. The present study focusses on behavioural intentions of the users (dairy farmers) regarding preventive solutions to control bovine mastitis in their dairying enterprise in Kallakurchi district of Tamil Nadu, India. The technology acceptance model (TAM) was employed in this study. Data were collected through a pre-tested interview schedule among 60 farmers during 2022 and analysed using descriptive and multilinear regression methods. The results revealed that farmers’ behavioural factors, like subjective norms played a significant role in adoption decisions for preventive solutions. The results imply that policy decisions on any technology generation and transfer programmes need to address the behavioural pattern of usersKeywords
Adoption decision, behavioural factors, dairy farmers, innovation, mastitis, preventive solutions.Full Text
References
- Bansal, B. K. and Gupta, D. K., Economic analysis of bovine mastitis in India and Punjab – a review. Indian J. Dairy Sci., 2009, 62, 337–345.
- Krishnamoorthy, P., Goudar, A. L., Suresh, K. P. and Roy, P., Global and countrywide prevalence of subclinical and clinical mastitis in dairy cattle and buffaloes by systematic review and meta-analysis. Res. Vet. Sci., 2021, 136, 561–586.
- Arnold, M., Staphylococcus aureus mastitis. University of Kentucky College of Agriculture, Lexington, KY, USA, 2011, pp. 1–4.
- Nimbalkar, V., Verma, H. K., Singh, J. and Kansal, S. K., Awareness and adoption level of subclinical mastitis diagnosis among dairy farmers of Punjab, India. Turk. J. Vet. Anim. Sci., 2020, 44(4), 845–852.
- Thirunavukkarasu, D. and Narmatha, N., Lab to land – factors driving adoption of dairy farming innovations among Indian farmers. Curr. Sci., 2016, 7, 1231–1234.
- Davis, F. D., A technology acceptance model for empirically testing new end-user information systems. Theory and results. Ph.D. thesis, Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA, 1986.
- Pierpaolia, E., Giacomo, C., Pignattia, E. and Canavaria, M., Drivers of precision agriculture technologies adoption: a literature review. Proc. Technol., 2013, 8, 61–69.
- Bafanda, R. A., Nanda, R., Khandi, S. A., Choudhary, F., Choudhary, M. S. and Shehjar, F., Clean milk production practices adopted by the dairy farmers of R. S. Pura in Jammu District. Asian J. Agric. Extens. Econ. Sociol., 2018, 26(3), 1–10.
- Cakirli Akyuz, N. and Theuvsen, L., The impact of behavioural drivers on adoption of sustainable agricultural practices. The case of organic farming in Turkey. Sustainability, 2020, 12(17), 6875.
- Sok, J., Van der Lans, I. A., Hogeveen, H., Elbers, A. R. W. and Oude Lansink, A. G. J. M., Farmers’ preferences for bluetongue vaccination scheme attributes: an integrated choice and latent variable approach. J. Agric. Econ., 2018, 69(2), 537–560.
- Dessart, F. J., Barreiro-Hurlé, J. and René van Bavel, Behavioural factors affecting the adoption of sustainable farming practices: a policy-oriented review. Eur. Rev. Agric. Econ., 2019, 46(3), 417–471.
- Enticott, G., Maye, D., Naylor, R., Brunton, L., Downs, S. H. and Donnelly, C. A., An assessment of risk compensation and spillover behavioural adaptions associated with the use of vaccines in animal disease management. Vaccine, 2020, 38(5), 1065–1075.
- Rogers, E. M., Diffusion of Innovations, Free Press, New York, USA, 2003, 5th edn, pp. 15–16.
- Castaño, R., Mita, S., Manish, K. and Harish, S., Managing consumer uncertainty in the adoption of new products: temporal distance and mental simulation. J. Market. Res., 2008, 45, 320–336.
- Arts, W. C., Frambach, R. T. and Bijimolt, T. H. A., Generalizations on consumer innovation adoption: a meta-analysis on drivers of intention and behavior. Int. J. Res. Mark., 2011, 28, 134–144.
- Wollni, M. and Andersson, C., Spatial patterns of organic agriculture adoption: evidence from Honduras. Ecol. Econ., 2014, 97, 120–128.
- Donkor, E., Owusu, V., Sekyere, E. O. and Ogundeji, A. A., The adoption of farm Innovations among rice producers in northern Ghana: implications for sustainable rice supply. Agriculture, 2018, 8(121), 1–13.
- Daxini, A., O’Donoghue, C., Ryan, M., Buckley, C., Barnes, A. P. and Daly, K., Which factors influence farmers’ intentions to adopt nutrient management planning? J. Environ. Manage., 2018, 224, 350–360.