Statistical Evaluation to Identify the Factors Affecting of the Adoption and Non-Adaption of Technology by Farmers under Rice Production Technologies

Roshan Kumar Bhardwaj; S.S. Gautam; R.R. Saxena

doi:https://doi.org/10.14445/22315373/IJMTT-V26P514

International Journal of Mathematics Trends and Technology

Research Article | Open Access | Download PDF

Volume 26 | Number 2 | Year 2015 | Article Id. IJMTT-V26P514 | DOI : https://doi.org/10.14445/22315373/IJMTT-V26P514

Statistical Evaluation to Identify the Factors Affecting of the Adoption and Non-Adaption of Technology by Farmers under Rice Production Technologies

Roshan Kumar Bhardwaj, S.S. Gautam, R.R. Saxena

Citation :

Roshan Kumar Bhardwaj, S.S. Gautam, R.R. Saxena, "Statistical Evaluation to Identify the Factors Affecting of the Adoption and Non-Adaption of Technology by Farmers under Rice Production Technologies," International Journal of Mathematics Trends and Technology (IJMTT), vol. 26, no. 2, pp. 63-68, 2015. Crossref, https://doi.org/10.14445/22315373/IJMTT-V26P514

Abstract

This study has an aim to identify the factor affecting the adoption and non-adoption of promising varieties of rice production technologies. Promising varieties are a popular genotype and being cultivated widely. In Raipur district at arang block, Out of 219 villages, 15 villages selected for the study. The independent variables i.e., Age, education, caste, size of family, social participation, occupation, size of land holding, Contact with extension agencies, Sources of information, Level of knowledge and annual income were considered as traits of the respondents. Using the Logit model, the factors that influence farm households’ decisions to adopt modern agricultural production technologies were estimated. The result reveals that, out of 12 independent variables, the two variables viz. social participation and level of knowledge contributed positively and highly significantly toward extent of adoption at 0.01 per cent level of probability. Whereas, education, caste, occupation, size of land holding, annual income, credit acquisition, contact with extension agencies and sources of information contributed positively and significantly toward extent of adoption at 0.05 per cent level of probability. The variables age and size of family had no significant contribution in extent of adoption of recommended rice production technologies.

Keywords

Adoption and Non adoption, Logit Model, Production Technology.

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