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New sustainable product adoption: The role of economic and social factors

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  • Eslami, Hossein
  • Krishnan, Trichy

Abstract

Sustainability has become a global issue of widespread concern and renewable energy sources are among the most important areas of sustainability research. The solar photovoltaic panel, as a new product, has shown promise but is far from reaching its market potential. This is partly because installation of solar panels requires substantial upfront investment, a critical factor especially for households who want to install them on their rooftops. We use a micro modeling approach to study the adoption of rooftop solar panels among households. We model household adoption as a forward-looking investment in a new sustainable product. Since rooftop solar panels are easily observable in the neighborhood, they enable potential adopters to infer about the investment return of new installations without explicitly asking anyone. We build this social learning mechanism in our model and estimate it using a rich household-level data set on the adoption timings of the solar panels in Germany. Besides, an aggregate version of our micromodel has been proposed to estimate the parameters of adoption using aggregate data. We have contrasted the results of the two models. Through a series of counterfactual policy experiments, we demonstrate the effectiveness of different incentive policies including Feed-In Tariff (FIT). Through policy experiments we show that by understanding the underlying adoption mechanisms policy makers can choose the most efficient incentive policy to accelerate the adoption of solar panels. Our proposed models (micromodel and aggregate model) are general enough to be adapted to other new sustainable products by incorporating economic and social factors.

Suggested Citation

  • Eslami, Hossein & Krishnan, Trichy, 2023. "New sustainable product adoption: The role of economic and social factors," Energy Policy, Elsevier, vol. 183(C).
    • Handle: RePEc:eee:enepol:v:183:y:2023:i:c:s0301421523004093
    DOI: 10.1016/j.enpol.2023.113824
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    as
    1. Gautam Gowrisankaran & Marc Rysman, 2012. "Dynamics of Consumer Demand for New Durable Goods," Journal of Political Economy, University of Chicago Press, vol. 120(6), pages 1173-1219.
    2. Delgado, Michael S. & Harriger, Jessica L. & Khanna, Neha, 2015. "The value of environmental status signaling," Ecological Economics, Elsevier, vol. 111(C), pages 1-11.
    3. Kowalska-Pyzalska, Anna, 2018. "What makes consumers adopt to innovative energy services in the energy market? A review of incentives and barriers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3570-3581.
    4. Scott K. Shriver, 2015. "Network Effects in Alternative Fuel Adoption: Empirical Analysis of the Market for Ethanol," Marketing Science, INFORMS, vol. 34(1), pages 78-97, January.
    5. 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.
    6. Garth Heutel & Erich Muehlegger, 2015. "Consumer Learning and Hybrid Vehicle Adoption," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(1), pages 125-161, September.
    7. 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).
    8. Frank M. Bass & Trichy V. Krishnan & Dipak C. Jain, 1994. "Why the Bass Model Fits without Decision Variables," Marketing Science, INFORMS, vol. 13(3), pages 203-223.
    9. Yuan, Xiaodong & Li, Xiaotao, 2021. "Mapping the technology diffusion of battery electric vehicle based on patent analysis: A perspective of global innovation systems," Energy, Elsevier, vol. 222(C).
    10. Islam, Towhidul, 2014. "Household level innovation diffusion model of photo-voltaic (PV) solar cells from stated preference data," Energy Policy, Elsevier, vol. 65(C), pages 340-350.
    11. Ashley Langer & Derek Lemoine, 2022. "Designing Dynamic Subsidies to Spur Adoption of New Technologies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 9(6), pages 1197-1234.
    12. Bryan Bollinger, 2015. "Green technology adoption: An empirical study of the Southern California garment cleaning industry," Quantitative Marketing and Economics (QME), Springer, vol. 13(4), pages 319-358, December.
    13. Tveten, Åsa Grytli & Bolkesjø, Torjus Folsland & Martinsen, Thomas & Hvarnes, Håvard, 2013. "Solar feed-in tariffs and the merit order effect: A study of the German electricity market," Energy Policy, Elsevier, vol. 61(C), pages 761-770.
    14. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    15. Brett R. Gordon, 2009. "A Dynamic Model of Consumer Replacement Cycles in the PC Processor Industry," Marketing Science, INFORMS, vol. 28(5), pages 846-867, 09-10.
    16. Wustenhagen, Rolf & Wolsink, Maarten & Burer, Mary Jean, 2007. "Social acceptance of renewable energy innovation: An introduction to the concept," Energy Policy, Elsevier, vol. 35(5), pages 2683-2691, May.
    17. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    18. Gautier, Axel & Hoet, Brieuc & Jacqmin, Julien & Van Driessche, Sarah, 2019. "Self-consumption choice of residential PV owners under net-metering," Energy Policy, Elsevier, vol. 128(C), pages 648-653.
    19. Bryan Bollinger & Kenneth Gillingham, 2012. "Peer Effects in the Diffusion of Solar Photovoltaic Panels," Marketing Science, INFORMS, vol. 31(6), pages 900-912, November.
    20. Pakes, Ariel S, 1986. "Patents as Options: Some Estimates of the Value of Holding European Patent Stocks," Econometrica, Econometric Society, vol. 54(4), pages 755-784, July.
    21. Ma, Rufei & Cai, Huan & Ji, Qiang & Zhai, Pengxiang, 2021. "The impact of feed-in tariff degression on R&D investment in renewable energy: The case of the solar PV industry," Energy Policy, Elsevier, vol. 151(C).
    22. Dusonchet, Luigi & Telaretti, Enrico, 2010. "Economic analysis of different supporting policies for the production of electrical energy by solar photovoltaics in western European Union countries," Energy Policy, Elsevier, vol. 38(7), pages 3297-3308, July.
    23. Grant Miller & A. Mushfiq Mobarak, 2015. "Learning About New Technologies Through Social Networks: Experimental Evidence on Nontraditional Stoves in Bangladesh," Marketing Science, INFORMS, vol. 34(4), pages 480-499, July.
    24. Baghestani, Hamid, 2021. "Predicting growth in US durables spending using consumer durables-buying attitudes," Journal of Business Research, Elsevier, vol. 131(C), pages 327-336.
    25. Duan, Hongbo & Zhang, Gupeng & Wang, Shouyang & Fan, Ying, 2018. "Peer interaction and learning: Cross-country diffusion of solar photovoltaic technology," Journal of Business Research, Elsevier, vol. 89(C), pages 57-66.
    26. Sheth, Jagdish N. & Newman, Bruce I. & Gross, Barbara L., 1991. "Why we buy what we buy: A theory of consumption values," Journal of Business Research, Elsevier, vol. 22(2), pages 159-170, March.
    27. Dan Horsky, 1990. "A Diffusion Model Incorporating Product Benefits, Price, Income and Information," Marketing Science, INFORMS, vol. 9(4), pages 342-365.
    28. Karneyeva, Yuliya & Wüstenhagen, Rolf, 2017. "Solar feed-in tariffs in a post-grid parity world: The role of risk, investor diversity and business models," Energy Policy, Elsevier, vol. 106(C), pages 445-456.
    29. Mignon, Ingrid & Winberg, Lisa, 2023. "The role of public energy advising in sustainability transitions – empirical evidence from Sweden," Energy Policy, Elsevier, vol. 177(C).
    30. Rabik Ar Chatterjee & Jehoshua Eliashberg, 1990. "The Innovation Diffusion Process in a Heterogeneous Population: A Micromodeling Approach," Management Science, INFORMS, vol. 36(9), pages 1057-1079, September.
    31. Hui Li, 2019. "Intertemporal Price Discrimination with Complementary Products: E-Books and E-Readers," Management Science, INFORMS, vol. 67(6), pages 2665-2694, June.
    32. Zhang, Yanquan & Chang, Ruidong & Zuo, Jian & Shabunko, Veronika & Zheng, Xian, 2023. "Regional disparity of residential solar panel diffusion in Australia: The roles of socio-economic factors," Renewable Energy, Elsevier, vol. 206(C), pages 808-819.
    33. Bunea, Anita M. & Della Posta, Pompeo & Guidolin, Mariangela & Manfredi, Piero, 2020. "What do adoption patterns of solar panels observed so far tell about governments’ incentive? Insights from diffusion models," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    34. Zhang, Alex Hongliang & Sirin, Selahattin Murat & Fan, Conglai & Bu, Maoliang, 2022. "An analysis of the factors driving utility-scale solar PV investments in China: How effective was the feed-in tariff policy?," Energy Policy, Elsevier, vol. 167(C).
    35. Zvi Eckstein & Kenneth I. Wolpin, 1989. "The Specification and Estimation of Dynamic Stochastic Discrete Choice Models: A Survey," Journal of Human Resources, University of Wisconsin Press, vol. 24(4), pages 562-598.
    36. John H. Roberts & Glen L. Urban, 1988. "Modeling Multiattribute Utility, Risk, and Belief Dynamics for New Consumer Durable Brand Choice," Management Science, INFORMS, vol. 34(2), pages 167-185, February.
    37. Oleg Melnikov, 2013. "Demand For Differentiated Durable Products: The Case Of The U.S. Computer Printer Market," Economic Inquiry, Western Economic Association International, vol. 51(2), pages 1277-1298, April.
    38. Sahoo, Debajani & Harichandan, Sidhartha & Kar, Sanjay Kumar & S, Sreejesh, 2022. "An empirical study on consumer motives and attitude towards adoption of electric vehicles in India: Policy implications for stakeholders," Energy Policy, Elsevier, vol. 165(C).
    39. Tülin Erdem & Michael Keane & T. Öncü & Judi Strebel, 2005. "Learning About Computers: An Analysis of Information Search and Technology Choice," Quantitative Marketing and Economics (QME), Springer, vol. 3(3), pages 207-247, September.
    40. Wustenhagen, Rolf & Bilharz, Michael, 2006. "Green energy market development in Germany: effective public policy and emerging customer demand," Energy Policy, Elsevier, vol. 34(13), pages 1681-1696, September.
    41. Inseong Song & Pradeep Chintagunta, 2003. "A Micromodel of New Product Adoption with Heterogeneous and Forward-Looking Consumers: Application to the Digital Camera Category," Quantitative Marketing and Economics (QME), Springer, vol. 1(4), pages 371-407, December.
    42. Bryan Bollinger, 2015. "Green technology adoption: An empirical study of the Southern California garment cleaning industry," Quantitative Marketing and Economics (QME), Springer, vol. 13(4), pages 319-358, December.
    43. Rubio, Francisco & Llopis-Albert, Carlos & Valero, Francisco & Besa, Antonio José, 2020. "Sustainability and optimization in the automotive sector for adaptation to government vehicle pollutant emission regulations," Journal of Business Research, Elsevier, vol. 112(C), pages 561-566.
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