Peer effects in residential solar photovoltaics adoption—A mixed methods study of Swedish users

Energy Research and Social Science

Volumn 26, Issue , 2017, Pages 1-10

  Palm, Alvar ^a  

^a INTERNATIONAL INSTITUTE FOR INDUSTRIAL ENVIRONMENTAL ECONOMICS   (Sweden)

Author keywords

Diffusion of innovations; Peer effects; Solar photovoltaics (PV); Word of mouth

Indexed keywords

EID: 85010399648     PISSN: 22146296     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.erss.2017.01.008     Document Type: Article

References (36)

1. [1] Schelly, C., Residential solar electricity adoption: what motivates, and what matters? A case study of early adopterss. Energy Res. Soc. Sci. 2 (2014), 183–191, 10.1016/j.erss.2014.01.001.
2. [2] Zhai, P., Williams, E.D., Analyzing consumer acceptance of photovoltaics (PV) using fuzzy logic model. Renew. Energy 41 (2012), 350–357, 10.1016/j.renene.2011.11.041.
3. [3] Karteris, M., Papadopoulos, A.M., Residential photovoltaic systems in Greece and in other European countries: a comparison and an overview. Adv. Build. Energy Res. 6 (2012), 141–158, 10.1080/17512549.2012.672005.
4. [4] Strupeit, L., Palm, A., Overcoming barriers to renewable energy diffusion: business models for customer-sited solar photovoltaics in Japan, Germany and the United States. J. Clean. Prod. 123 (2015), 124–136, 10.1016/j.jclepro.2015.06.120.
5. [5] Bollinger, B., Gillingham, K., Peer effects in the diffusion of solar photovoltaic panels. Mark. Sci. 31 (2012), 900–912, 10.1287/mksc.1120.0727.
6. [6] Graziano, M., Atkinson, C., The Influence of Spatial Setting and Socioeconomic Profile in Urban Areas in the Diffusion of Residential Photovoltaic Systems. 2014, Social Science Research Network, Rochester, NY (Accessed 23 March 2015) http://papers.ssrn.com/abstract=2529799.
7. [7] Graziano, M., Gillingham, K., Spatial patterns of solar photovoltaic system adoption: the influence of neighbors and the built environment. J. Econ. Geogr., 2014, lbu036, 10.1093/jeg/lbu036.
8. [8] Müller, S., Rode, J., The adoption of photovoltaic systems in Wiesbaden, Germany. Econ. Innov. New Technol. 22 (2013), 519–535, 10.1080/10438599.2013.804333.
9. [9] Rai, V., Robinson, S.A., Effective information channels for reducing costs of environmentally- friendly technologies: evidence from residential PV markets. Environ. Res. Lett., 8(14044), 2013, 10.1088/1748-9326/8/1/014044.
10. [10] Richter, L.-L., Social Effects in the Diffusion of Solar Photovoltaic Technology in the UK. 2013, EPRG Working Paper 1332, Cambridge Working Paper in Economics 1357.
11. [11] J. Rode, A. Weber, Does Localized Imitation Drive Technology Adoption? A Case Study on Solar Cells in Germany. Working paper, 2013.
12. [12] Lindahl, J., National Survey Report of PV Power Applications in Sweden 2013., 2014, International Energy Agency Co-Operative Programme on Photovoltaic Power Systems.
13. [13] Palm, A., An emerging innovation system for deployment of building-sited solar photovoltaics in Sweden. Environ. Innov. Soc. Transit. 15 (2015), 140–157, 10.1016/j.eist.2014.10.004.
14. [14] Stridh, B., Yard, S., Larsson, D., Karlsson, B., Production cost of PV electricity in Sweden. Proceedings for 28th EU PVSEC, 30 September 2013–4 October 2013, Paris, 2013.
15. [15] Kjellsson, E., Potentialstudie för byggnadsintegrerade solceller i Sverige, Rapport 2. Analys av instrålningsnivåer på byggnadsytor., 2000, Department of Building Physics, Lund University, Report TVBH-7216.
16. [16] Palm, A., Local factors driving the diffusion of solar photovoltaics in Sweden: a case study of five municipalities in an early market. Energy Res. Soc. Sci. 14 (2016), 1–12, 10.1016/j.erss.2015.12.027.
17. [17] Eriksson, E., Stridh, B., Fritz, P., Elhandelsföretagens syn på handel med solel. Elforsk report 11:28., 2011, Elforsk AB, Stockholm, Sweden.
18. [18] Swedish Energy Markets Inspectorate, The Swedish Electricity and Natural Gas Markets 2013. Report R:18., 2014, Swedish Energy Markets Inspectorate.
19. [19] Rogers, E.M., Diffusion of Innovations. 1983, Free Press, New York.
20. [20] Oster, E., Thornton, R., Determinants of Technology Adoption: Private Value and Peer Effects in Menstrual Cup Take-Up. 2009, National Bureau of Economic Research (Accessed 17 December 2015) http://www.nber.org/papers/w14828.
21. [21] Axsen, J., Mountain, D.C., Jaccard, M., Combining stated and revealed choice research to simulate the neighbor effect: the case of hybrid-electric vehicles. Resour. Energy Econ. 31 (2009), 221–238, 10.1016/j.reseneeco.2009.02.001.
22. [22] Stewart, J., Local experts in the domestication of information and communication technologies. Inf. Commun. Soc. 10 (2007), 547–569, 10.1080/13691180701560093.
23. [23] Helms, A.C., Keeping up with the Joneses: neighborhood effects in housing renovation. Reg. Sci. Urban Econ. 42 (2012), 303–313, 10.1016/j.regsciurbeco.2011.07.005.
24. [24] Mazzarol, T., The role of word of mouth in the diffusion of innovation. Hülsmann, M., Pfeffermann, N., (eds.) Strateg. Commun. Innov., 2011, Springer Berlin Heidelberg, 117–131 (Accessed 9 February 2015) http://link.springer.com/chapter/10.1007/978-3-642-17223-6_9.
25. [25] Bale, C.S.E., McCullen, N.J., Foxon, T.J., Rucklidge, A.M., Gale, W.F., Harnessing social networks for promoting adoption of energy technologies in the domestic sector. Energy Policy 63 (2013), 833–844, 10.1016/j.enpol.2013.09.033.
26. [26] Chitra, K., Ramya Sreedevi, V., Does personality traits influence the choice of investment?. IUP J. Behav. Finance 8 (2011), 47–57.
27. [27] Moorradian, T.A., Olver, J.M., I can't get no satisfaction: the impact of personality and emotion on postpurchase processes. Psychol. Mark. 14 (1997), 379–393.
28. [28] Brudermann, T., Reinsberger, K., Orthofer, A., Kislinger, M., Posch, A., Photovoltaics in agriculture: a case study on decision making of farmers. Energy Policy 61 (2013), 96–103, 10.1016/j.enpol.2013.06.081.
29. [29] Rai, V., Reeves, D.C., Margolis, R., Overcoming barriers and uncertainties in the adoption of residential solar PV. Renew. Energy 89 (2016), 498–505, 10.1016/j.renene.2015.11.080.
30. [30] Granovetter, M.S., The strength of weak ties. Am. J. Sociol. 78 (1973), 1360–1380.
31. [31] Johnson, R.B., Onwuegbuzie, A.J., Mixed methods research: a research paradigm whose time has come. Educ. Res. 33 (2004), 14–26, 10.3102/0013189X033007014.
32. [32] Onwuegbuzie, A.J., Collins, K.M.T., A typology of mixed methods sampling designs in social science research. Qual. Rep. 12 (2007), 281–316.
33. [33] Palm, J., Tengvard, M., Motives for and barriers to household adoption of small-scale production of electricity: examples from Sweden. Sustain. Sci. Pract. Policy 7 (2011), 6–15.
34. [34] V. Rai, K. McAndrews, Decision-Making and Behavior Change in Residential Adopters of Solar PV, 2012.
35. [35] Krosnick, J.A., Fabrigar, L.R., Designing rating scales for effective measurement in surveys. Lyberg, L., Biemer, P., Collins, M., Leeuw, E.D., Dippo, C., Schwarz, N., Trewin, D., (eds.) Surv. Meas. Process Qual., 1997, John Wiley & Sons, Inc., 141–164 (Accessed 18 September 2015) http://onlinelibrary.wiley.com/doi/10.1002/9781118490013.ch6/summary.
36. [36] Nolan, J.M., Schultz, P.W., Cialdini, R.B., Goldstein, N.J., Griskevicius, V., Normative social influence is underdetected. Pers. Soc. Psychol. Bull. 34 (2008), 913–923, 10.1177/0146167208316691.