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Adoption of solar energy in India: a study through interpretive structural modelling

Adoption of solar energy in India: a study through interpretive structural modelling Adoption of solar energy plays an important role in the growth of a country. There are many factors which influence the adoption of solar energy in India. The study is designed to identify factors that determine the acceptance or rejection of solar energy systems in India.Design/methodology/approachRelationship among identified variables is established through interpretive structural modelling (ISM) and thus a conceptually validated model is evolved. Further, MICMAC analysis is conducted to understand the driving power and dependence of these variables.FindingsIt is revealed that experience and habit, awareness and social influence are the intermediary variables. MICMAC Analysis shows that no variable is disconnected from the system and all the variables influence the adoption of solar energy in India.Practical implicationsThe present study is expected to be useful to decision makers, end users and research organisations related to solar energy adoption.Originality/valueVarious intentional factors influencing solar energy systems adoption have been acknowledged in the present study, thus making it useful for formulation of action plans and enhance the usage of solar energy systems to improve environment quality. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png World Journal of Science, Technology and Sustainable Development Emerald Publishing

Adoption of solar energy in India: a study through interpretive structural modelling

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
2042-5945
DOI
10.1108/wjstsd-04-2021-0043
Publisher site
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Abstract

Adoption of solar energy plays an important role in the growth of a country. There are many factors which influence the adoption of solar energy in India. The study is designed to identify factors that determine the acceptance or rejection of solar energy systems in India.Design/methodology/approachRelationship among identified variables is established through interpretive structural modelling (ISM) and thus a conceptually validated model is evolved. Further, MICMAC analysis is conducted to understand the driving power and dependence of these variables.FindingsIt is revealed that experience and habit, awareness and social influence are the intermediary variables. MICMAC Analysis shows that no variable is disconnected from the system and all the variables influence the adoption of solar energy in India.Practical implicationsThe present study is expected to be useful to decision makers, end users and research organisations related to solar energy adoption.Originality/valueVarious intentional factors influencing solar energy systems adoption have been acknowledged in the present study, thus making it useful for formulation of action plans and enhance the usage of solar energy systems to improve environment quality.

Journal

World Journal of Science, Technology and Sustainable Development – Emerald Publishing

Published: Nov 15, 2021

Keywords: Solar energy; ISM; MICMAC; India

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