Enhanced Renewable Energy Adoption for Sustainable Development in India: Interpretive Structural Modeling Approach

Poverty alleviation and social upliftment of rural India is closely linked with the availability and use of energy for development. At the same time, sustainable supply of clean and affordable renewable energy sources is required if development is to be sustainable, so that it does not cause any environmental problems. The purpose of this paper is to determine the key variables of renewable energy implementation for sustainable development, on which the top management should focus. In this paper, an interpretive structural modeling (ISM) - based approach has been employed to model the implementation variables of renewable energy for sustainable development. These variables have been categorized under ‘enablers’ that help to increase the implementation of renewable energy for sustainable development. A major finding of this research is that public awareness regarding renewable energy for sustainable development is a very significant enabler. In this paper, an interpretation of variables of renewable energy for sustainable development in terms of their driving and dependence powers has been examined. For better results, top management should focus on improving the high-driving power enablers such as leadership, strategic planning, public awareness, top management support, availability of finance, government support, and support from interest groups.

[1]  Ravi Shankar,et al.  IT-enablement of supply chains: understanding the barriers , 2005, J. Enterp. Inf. Manag..

[2]  Henrik Lund,et al.  Renewable energy strategies for sustainable development , 2007 .

[3]  John N. Warfield,et al.  Developing Interconnection Matrices in Structural Modeling , 1974, IEEE Trans. Syst. Man Cybern..

[4]  Naim Afgan,et al.  Sustainable Energy Development , 1998 .

[5]  Kes McCormick,et al.  Key barriers for bioenergy in Europe: Economic conditions, know-how and institutional capacity, and supply chain co-ordination , 2007 .

[6]  Tao Zhao,et al.  Analysis of interactions among the barriers to energy saving in China , 2008 .

[7]  Ashwani Kumar,et al.  Renewable energy in India: Current status and future potentials , 2010 .

[8]  E. Martinot,et al.  Renewable Energy Policies and Barriers , 2004 .

[9]  D. W. Malone,et al.  An introduction to the application of interpretive structural modeling , 1975, Proceedings of the IEEE.

[10]  D. A. Elliott.  Opportunities , 2020, Journal of the American Institute of Electrical Engineers.

[11]  Mohit Goyal,et al.  Introduction of Renewable Energy Certificate in the Indian scenario , 2009 .

[12]  Sushil,et al.  The objectives of waste management in India: A futures inquiry , 1995 .

[13]  John N. Warfield,et al.  A Science of Generic Design: Managing Complexity Through Systems Design , 1994 .

[14]  Bruce Tonn,et al.  State-Level Benefits of Energy Efficiency , 2007 .

[15]  Y. Himri,et al.  REVIEW AND USE OF THE ALGERIAN RENEWABLE ENERGY FOR SUSTAINABLE DEVELOPMENT , 2009 .

[16]  S. Deshmukh,et al.  Vendor Selection Using Interpretive Structural Modelling (ISM) , 1994 .

[17]  Philip Jennings,et al.  New directions in renewable energy education , 2009 .

[18]  B.S.K. Naidu,et al.  Indian scenario of renewable energy for sustainable development , 1996 .

[19]  Weerakorn Ongsakul,et al.  ASEAN towards clean and sustainable energy: potentials, utilization and barriers. , 2007 .

[20]  C. Tattersall Smith,et al.  Opportunities, barriers, and strategies for forest bioenergy and bio-based product development in the Southern United States. , 2007 .