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Rice Ecosystems and Factors Affecting Varietal Adoption in Rainfed Coastal Orissa: A Multivariate Probit Analysis

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  • Samal, Parshuram
  • Pandey, Sushil
  • Kumar, G.A.K.
  • Barah, B.C.

Abstract

The spread of modern rice varieties in different water regimes and the factors affecting adoption of modern varieties have been studied using information collected from farmers in the rainfed coastal Orissa. The coverage of modern varieties has been found to be only 37 per cent in mediumland plots and 11 per cent in lowland plots. A multivariable probit model has been used to study the factors affecting adoption of modern varieties. The important factors influencing adoption of a modern variety have been found as hydrology, tenurial status and irrigation. But, the most important factor emerged from the present study is ‘hydrology’. Therefore, a wider spread of modern rice varieties in these areas depends on the development of new varieties that are specifically adapted to these environments. The study has suggested that development of new varieties and irrigation along with adoption of land reform measures will facilitate a faster spread of modern rice varieties in the rainfed coastal Orissa.

Suggested Citation

  • Samal, Parshuram & Pandey, Sushil & Kumar, G.A.K. & Barah, B.C., 2011. "Rice Ecosystems and Factors Affecting Varietal Adoption in Rainfed Coastal Orissa: A Multivariate Probit Analysis," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 24(1), June.
    • Handle: RePEc:ags:aerrae:109515
    DOI: 10.22004/ag.econ.109515
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    References listed on IDEAS

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    2. Akinwumi A. Adesina & Moses M. Zinnah, 1993. "Technology characteristics, farmers' perceptions and adoption decisions: A Tobit model application in Sierra Leone," Agricultural Economics, International Association of Agricultural Economists, vol. 9(4), pages 297-311, December.
    3. Adesina, Akinwumi A. & Zinnah, Moses M., 1993. "Technology characteristics, farmers' perceptions and adoption decisions: A Tobit model application in Sierra Leone," Agricultural Economics, Blackwell, vol. 9(4), pages 297-311, December.
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    2. Ghimire, Subash & Mehar, Mamta & Mittal, Surabhi, 2012. "Influence of Sources of Seed on Varietal Adoption Behavior of Wheat Farmers in Indo-Gangetic Plains of India," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 25(Conferenc).
    3. Raghu, Prabhakaran T & Das, Sukanya & Veettil, Prakashan Chellattan, 2021. "Smallholder Adaptation to Flood Risks: Adoption and Impact of Swarna-Sub1 in Eastern India," 2021 Conference, August 17-31, 2021, Virtual 315867, International Association of Agricultural Economists.
    4. Madhavan-Nambiar, Padmanand & Florkowski, Wojciech & Chinnan, Manjeet & Ressurrecion, Anna, 2015. "Shopping outlet choice and frequency in urban areas of the Republic of Uganda," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196821, Southern Agricultural Economics Association.
    5. Avila-Santamaria, Jorge J. & Useche, Maria P., 2016. "Urea Subsidies and the Decision to Allocate Land to a New Fertilizing Technology: Ex-ante Analysis in Ecuador," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229851, Southern Agricultural Economics Association.
    6. Madhavan-Nambiar, Padmanand & Florkowski, Wojciech & Chinnan, Manjeet & Resurrecion, Anna, 2015. "Drivers of Regular Consumption of Fresh Fruit and Vegetables in Urban Households of the Republic of Uganda," 2015 Conference, August 9-14, 2015, Milan, Italy 212202, International Association of Agricultural Economists.
    7. Martíneza, Jose María & Martínez Pachón,Eliana, 2021. "Multivariate analysis of the adoption of cacao productive technologies: Evidence from a case study in Colombia," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 21(01), June.

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