IDEAS home Printed from https://ideas.repec.org/a/sae/vision/v25y2021i3p285-299.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0972262919894144
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0972262919894144?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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).
    8. 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.
    9. Jager, Wander, 2006. "Stimulating the diffusion of photovoltaic systems: A behavioural perspective," Energy Policy, Elsevier, vol. 34(14), pages 1935-1943, September.
    10. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nurwidiana Nurwidiana & Bertha Maya Sopha & Adhika Widyaparaga, 2022. "Simulating Socio-Technical Transitions of Photovoltaics Using Empirically Based Hybrid Simulation-Optimization Approach," Sustainability, MDPI, vol. 14(9), pages 1-25, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alipour, M. & Salim, H. & Stewart, Rodney A. & Sahin, Oz, 2020. "Predictors, taxonomy of predictors, and correlations of predictors with the decision behaviour of residential solar photovoltaics adoption: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 123(C).
    2. Karjalainen, Sami & Ahvenniemi, Hannele, 2019. "Pleasure is the profit - The adoption of solar PV systems by households in Finland," Renewable Energy, Elsevier, vol. 133(C), pages 44-52.
    3. Wagner, Johanna & Bühner, Charlotte & Gölz, Sebastian & Trommsdorff, Max & Jürkenbeck, Kristin, 2024. "Factors influencing the willingness to use agrivoltaics: A quantitative study among German farmers," Applied Energy, Elsevier, vol. 361(C).
    4. Victor Fernández-Guzmán & Edgardo R. Bravo, 2018. "Understanding Continuance Usage of Natural Gas: A Theoretical Model and Empirical Evaluation," Energies, MDPI, vol. 11(8), pages 1-17, August.
    5. Thipnapa Huansuriya & Kris Ariyabuddhiphongs, 2023. "Predicting Residential Photovoltaic Adoption Intention of Potential Prosumers in Thailand: A Theory of Planned Behavior Model," Energies, MDPI, vol. 16(17), pages 1-20, August.
    6. Heiskanen, Eva & Matschoss, Kaisa, 2017. "Understanding the uneven diffusion of building-scale renewable energy systems: A review of household, local and country level factors in diverse European countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 580-591.
    7. Palm, A., 2020. "Early adopters and their motives: Differences between earlier and later adopters of residential solar photovoltaics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    8. José Ángel Gimeno & Eva Llera & Sabina Scarpellini, 2018. "Investment Determinants in Self-Consumption Facilities: Characterization and Qualitative Analysis in Spain," Energies, MDPI, vol. 11(8), pages 1-24, August.
    9. Londo, Marc & Matton, Robin & Usmani, Omar & van Klaveren, Marieke & Tigchelaar, Casper & Brunsting, Suzanne, 2020. "Alternatives for current net metering policy for solar PV in the Netherlands: A comparison of impacts on business case and purchasing behaviour of private homeowners, and on governmental costs," Renewable Energy, Elsevier, vol. 147(P1), pages 903-915.
    10. Palm, Alvar & Lantz, Björn, 2020. "Information dissemination and residential solar PV adoption rates: The effect of an information campaign in Sweden," Energy Policy, Elsevier, vol. 142(C).
    11. Arifa Tanveer & Shihong Zeng & Muhammad Irfan & Rui Peng, 2021. "Do Perceived Risk, Perception of Self-Efficacy, and Openness to Technology Matter for Solar PV Adoption? An Application of the Extended Theory of Planned Behavior," Energies, MDPI, vol. 14(16), pages 1-24, August.
    12. Mahesti Okitasari & Ranjeeta Mishra & Masachika Suzuki, 2022. "Socio-Economic Drivers of Community Acceptance of Sustainable Social Housing: Evidence from Mumbai," Sustainability, MDPI, vol. 14(15), pages 1-17, July.
    13. Natália Gava Gastaldo & Graciele Rediske & Paula Donaduzzi Rigo & Carmen Brum Rosa & Leandro Michels & Julio Cezar Mairesse Siluk, 2019. "What is the Profile of the Investor in Household Solar Photovoltaic Energy Systems?," Energies, MDPI, vol. 12(23), pages 1-18, November.
    14. Palmer, J. & Sorda, G. & Madlener, R., 2015. "Modeling the diffusion of residential photovoltaic systems in Italy: An agent-based simulation," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 106-131.
    15. Lim, Xin-Le & Lam, Wei-Haur, 2014. "Public Acceptance of Marine Renewable Energy in Malaysia," Energy Policy, Elsevier, vol. 65(C), pages 16-26.
    16. Sommerfeldt, Nelson & Lemoine, Ida & Madani, Hatef, 2022. "Hide and seek: The supply and demand of information for household solar photovoltaic investment," Energy Policy, Elsevier, vol. 161(C).
    17. Noppers, Ernst H. & Keizer, Kees & Milovanovic, Marko & Steg, Linda, 2016. "The importance of instrumental, symbolic, and environmental attributes for the adoption of smart energy systems," Energy Policy, Elsevier, vol. 98(C), pages 12-18.
    18. Adewole, Ayooluwa & Shipworth, Michelle & Lemaire, Xavier & Sanderson, Danielle, 2023. "Peer-to-Peer energy trading, independence aspirations and financial benefits among Nigerian households," Energy Policy, Elsevier, vol. 174(C).
    19. Jiangyue Joy Ying & Benjamin K. Sovacool, 2021. "A fair trade? Expert perceptions of equity, innovation, and public awareness in China’s future Emissions Trading Scheme," Climatic Change, Springer, vol. 164(3), pages 1-23, February.
    20. Hansen, Anders Rhiger & Jacobsen, Mette Hove & Gram-Hanssen, Kirsten, 2022. "Characterizing the Danish energy prosumer: Who buys solar PV systems and why do they buy them?," Ecological Economics, Elsevier, vol. 193(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:vision:v:25:y:2021:i:3:p:285-299. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.