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Determinants of the adoption of modern technology in the handloom industry in Assam

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  • Bortamuly, Alin Borah
  • Goswami, Kishor

Abstract

This paper identifies and analyzes the determinants of technology adoption in the handloom industry in Assam. Binary logistic regression model is used to analyze the primary data in which the dependent factor (technology adoption) is dichotomous. Results show that education and annual income of the industry owners play a crucial role in the adoption of modern technology. In the case of small owners, gender has positive and significant influence, whereas age, education, and distance to the nearest market have significant but negative influences on the adoption of modern technology. In the case of contractual workers, age has a negative but significant influence on the adoption, whereas annual income, access to government credit, and access to training have positive and significant influences on the adoption of modern technology. As access to training and credit increases the likelihood of the adoption of modern technology for the contractual workers, adequate facilities for such determinants should be made available to the grass root workers.

Suggested Citation

  • Bortamuly, Alin Borah & Goswami, Kishor, 2015. "Determinants of the adoption of modern technology in the handloom industry in Assam," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 400-409.
    • Handle: RePEc:eee:tefoso:v:90:y:2015:i:pb:p:400-409
    DOI: 10.1016/j.techfore.2014.04.018
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    Cited by:

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    2. Aryal, Jeetendra Prakash & Rahut, Dil Bahadur & Maharjan, Sofina & Erenstein, Olaf, 2019. "Understanding factors associated with agricultural mechanization: A Bangladesh case," World Development Perspectives, Elsevier, vol. 13(C), pages 1-9.
    3. Qingfeng Han & Kadambot H. M. Siddique & Fengmin Li, 2018. "Adoption of Conservation Tillage on the Semi-Arid Loess Plateau of Northwest China," Sustainability, MDPI, vol. 10(8), pages 1-16, July.
    4. Hazarika, Bhabesh & Bezbaruah, Madhurjya Prashad & Goswami, Kishor, 2016. "Adoption of modern weaving technology in the handloom micro-enterprises in Assam: A Double Hurdle approach," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 344-356.

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    More about this item

    Keywords

    Technology adoption; Handloom; Logistic regression; Traditional and modern technologies;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • P25 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Urban, Rural, and Regional Economics
    • P48 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Legal Institutions; Property Rights; Natural Resources; Energy; Environment; Regional Studies
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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