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Diffusion of RT Solar PV in Suburbs of Delhi/NCR, India: Triggers of Architect Recommendation Intent

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  • Ashwini K. Aggarwal
  • Asif Ali Syed
  • Sandeep Garg

Abstract

Solar energy has shown considerable promise world over, and the sector has been growing with dramatic reduction in commercial pricing, improved efficiencies and improved deployments/usage conveniences. Rooftop solar in India has grown to 4.4 GW by the end March 2019—but it’s still underperforming versus National Solar Mission (NSM) target of 40 GW. Clearly, India has a significant need to improve the penetration of the rooftop solar. Recent studies in the Indian context have shown the role of social influence as a key enabler of the purchase intent for rooftop solar. Studies have also shown the relative prioritization between different opinion leader categories. A relevant question is to understand the triggers of pro-rooftop solar photovoltaic (RT SPV) recommendations from ecosystem players like architects. This article builds an empirical approach to model the factors of behaviour intent (to recommend RT SPV) of the architects. The field study is conducted in Delhi-National Capital Region (NCR) suburbs of Gurgaon and Faridabad. Policy implications are: To build focused penetration of communities, leveraging trusted peer networks, instead of a spray-and-pray approach. To build a solar champion branding (like green building certification) and a competence building programme to leverage natural position as a potential opinion leader while building one’s home. This research is part of the first Indian empirical study leveraging multi-city survey of architects and end-users to build a statistically verified consumer behaviour model using unified theory of acceptance and use of technology 2 (UTAUT2) theory for end-user purchase intent and recommendation intent by architects for RT SPV installation by their clients in the residential sector.

Suggested Citation

  • Ashwini K. Aggarwal & Asif Ali Syed & Sandeep Garg, 2021. "Diffusion of RT Solar PV in Suburbs of Delhi/NCR, India: Triggers of Architect Recommendation Intent," Vision, , vol. 25(3), pages 285-299, September.
    • Handle: RePEc:sae:vision:v:25:y:2021:i:3:p:285-299
    DOI: 10.1177/0972262919894144
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    1. McEachern, Menzie & Hanson, Susan, 2008. "Socio-geographic perception in the diffusion of innovation: Solar energy technology in Sri Lanka," Energy Policy, Elsevier, vol. 36(7), pages 2578-2590, July.
    2. Palm, Jenny, 2018. "Household installation of solar panels – Motives and barriers in a 10-year perspective," Energy Policy, Elsevier, vol. 113(C), pages 1-8.
    3. Nadia Ameli & Nicola Brandt, 2014. "Determinants of Households' Investment in Energy Efficiency and Renewables: Evidence from the OECD Survey on Household Environmental Behaviour and Attitudes," OECD Economics Department Working Papers 1165, OECD Publishing.
    4. Roulleau, T. & Lloyd, C.R., 2008. "International policy issues regarding solar water heating, with a focus on New Zealand," Energy Policy, Elsevier, vol. 36(6), pages 1843-1857, June.
    5. Michelsen, Carl Christian & Madlener, Reinhard, 2010. "Integrated Theoretical Framework for a Homeowner's Decision in Favor of an Innovative Residential Heating System," FCN Working Papers 2/2010, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    6. Korcaj, Liridon & Hahnel, Ulf J.J. & Spada, Hans, 2015. "Intentions to adopt photovoltaic systems depend on homeowners' expected personal gains and behavior of peers," Renewable Energy, Elsevier, vol. 75(C), pages 407-415.
    7. Jager, Wander, 2006. "Stimulating the diffusion of photovoltaic systems: A behavioural perspective," Energy Policy, Elsevier, vol. 34(14), pages 1935-1943, September.
    8. Li, Xuesong & Li, Hao & Wang, Xingwu, 2013. "Farmers' willingness to convert traditional houses to solar houses in rural areas: A survey of 465 households in Chongqing, China," Energy Policy, Elsevier, vol. 63(C), pages 882-886.
    9. Kanters, Jouri & Wall, Maria, 2016. "A planning process map for solar buildings in urban environments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 173-185.
    10. Liu, Wenling & Wang, Can & Mol, Arthur P.J., 2013. "Rural public acceptance of renewable energy deployment: The case of Shandong in China," Applied Energy, Elsevier, vol. 102(C), pages 1187-1196.
    11. Yuan, Xueliang & Zuo, Jian & Ma, Chunyuan, 2011. "Social acceptance of solar energy technologies in China--End users' perspective," Energy Policy, Elsevier, vol. 39(3), pages 1031-1036, March.
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