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A Novel Adoption Index of Selected Agricultural Technologies: Linkages with Infrastructure and Productivity

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  • Jain, Rajni
  • Arora, Alka
  • Raju, S.S.

Abstract

Variations in agricultural productivity in different states across the country are mainly due to large differences in the level of adoption of selected agricultural technologies and the underlying determinants of adoption of these technologies. Agricultural technologies selected in this paper include high-yielding varieties of seeds, chemical fertilizers, pesticides, use of machinery, etc. The pattern of adoption has been examined across the country based on the 54th round of NSSO dataset. The quantification of adoption has been carried out for each state in the form of a novel ‘adoption index’. The relation between adoption index and status of the infrastructure in the corresponding state has been examined. The strong correlation between adoption index and composite index of infrastructure and development has emphasized the need for improving infrastructure to increase adoption of improved agricultural technologies, which would increase the value of per hectare crop productivity. The functional analysis has revealed that infrastructures like electricity, irrigation, credit and extension organizations positively influence the adoption of the improved technologies. The study has suggested that there is a need to formulate policies which would help increase the availability of electricity, irrigation and institutional credit and improve the access to the extension organizations for the adoption of improved agricultural technologies and enhancement in productivity.

Suggested Citation

  • Jain, Rajni & Arora, Alka & Raju, S.S., 2009. "A Novel Adoption Index of Selected Agricultural Technologies: Linkages with Infrastructure and Productivity," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 22(1), January.
    • Handle: RePEc:ags:aerrae:57386
    DOI: 10.22004/ag.econ.57386
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    Cited by:

    1. James J. H. Liou & Tuong Thanh Vo, 2024. "Exploring the Relationships among Factors Influencing Healthcare Chatbot Adoption," Sustainability, MDPI, vol. 16(12), pages 1-25, June.
    2. Tiruneh, Etsehiwot Semreab & Wassie, Solomon Bizuayehu, 2020. "Adoption and ex-post impact of alternative teff production technologies: micro-level evidence from Ethiopia," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 59(3), July.
    3. Berre, David & Adam, Myriam & Koffi, Christophe K. & Vigne, Mathieu & Gautier, Denis, 2022. "Tailoring management practices to the structure of smallholder households in Sudano-Sahelian Burkina Faso: Evidence from current practices," Agricultural Systems, Elsevier, vol. 198(C).
    4. Adams, Abdulai & Jumpah, Emmanuel Tetteh & Caesar, Livingstone Divine, 2021. "The nexuses between technology adoption and socioeconomic changes among farmers in Ghana," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    5. Asif, Zainab & Chinzara, Zivanemoyo & Lahiri, Radhika, 2023. "The role of risk and institutions in the adoption and diffusion of technologies: Evidence from Sub-Saharan Africa," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 16-33.
    6. Kim S. Alexander & Garry Greenhalgh & Magnus Moglia & Manithaythip Thephavanh & Phonevilay Sinavong & Silva Larson & Tom Jovanovic & Peter Case, 2020. "What is technology adoption? Exploring the agricultural research value chain for smallholder farmers in Lao PDR," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 37(1), pages 17-32, March.
    7. Athapaththu, Poorni & Weerahewa, Jeevika, 2024. "Willingness to Pay for Improved Planting Materials: An Application of Experimental Auction in Sri Lanka," IAAE 2024 Conference, August 2-7, 2024, New Delhi, India 344265, International Association of Agricultural Economists (IAAE).

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    Keywords

    Agricultural and Food Policy;

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