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Social influence in the global diffusion of alternative fuel vehicles – A meta-analysis

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  • Pettifor, H.
  • Wilson, C.
  • Axsen, J.
  • Abrahamse, W.
  • Anable, J.

Abstract

Alternative fuel vehicle technologies are needed to mitigate rising greenhouse gas emissions from transport. Social influence is integral to the diffusion of private vehicles which are highly visible and fulfil practical as well as social functions. This paper provides the first meta-analysis of empirical studies which measure the strength of social influence on consumer vehicle choice. A systematic literature review identified 21 studies that examined three types of social influence: interpersonal communication; neighbourhood effect; and conformity with social norms. A random effects meta-analysis found a significant and small to moderate effect of social influence on vehicle choices (r=0.241, p<0.001). The overall effect size did not vary significantly between types of social influence nor between types of vehicle (conventional or alternative fuel). However, further analysis using meta-regression found that heterogeneity in social influence effect size across studies was explained by differences in countries' cultural receptiveness to normative influence. These findings have important implications for policy and modelling analysis of alternative fuel vehicle adoption, for which diffusion is both a socially and culturally-mediated process.

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  • Pettifor, H. & Wilson, C. & Axsen, J. & Abrahamse, W. & Anable, J., 2017. "Social influence in the global diffusion of alternative fuel vehicles – A meta-analysis," Journal of Transport Geography, Elsevier, vol. 62(C), pages 247-261.
  • Handle: RePEc:eee:jotrge:v:62:y:2017:i:c:p:247-261
    DOI: 10.1016/j.jtrangeo.2017.06.009
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    as
    1. Andrea Beltramello, 2012. "Market Development for Green Cars," OECD Green Growth Papers 2012/3, OECD Publishing.
    2. 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.
    3. Zhang, Yong & Yu, Yifeng & Zou, Bai, 2011. "Analyzing public awareness and acceptance of alternative fuel vehicles in China: The case of EV," Energy Policy, Elsevier, vol. 39(11), pages 7015-7024.
    4. Jonn Axsen & Kenneth S Kurani, 2012. "Interpersonal Influence within Car Buyers' Social Networks: Applying Five Perspectives to Plug-in Hybrid Vehicle Drivers," Environment and Planning A, , vol. 44(5), pages 1047-1065, May.
    5. Frank Goetzke & Rachel Weinberger, 2012. "Separating Contextual from Endogenous Effects in Automobile Ownership Models," Environment and Planning A, , vol. 44(5), pages 1032-1046, May.
    6. Helveston, John Paul & Liu, Yimin & Feit, Elea McDonnell & Fuchs, Erica & Klampfl, Erica & Michalek, Jeremy J., 2015. "Will subsidies drive electric vehicle adoption? Measuring consumer preferences in the U.S. and China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 73(C), pages 96-112.
    7. Lee, Duk Hee & Park, Sang Yong & Kim, Jong Wook & Lee, Seong Kon, 2013. "Analysis on the feedback effect for the diffusion of innovative technologies focusing on the green car," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 498-509.
    8. Sha Yang & Mantian (Mandy) Hu & Russell S. Winer & Henry Assael & Xiaohong Chen, 2012. "An Empirical Study of Word-of-Mouth Generation and Consumption," Marketing Science, INFORMS, vol. 31(6), pages 952-963, November.
    9. Moreno-Munoz, A. & Bellido-Outeirino, F.J. & Siano, P. & Gomez-Nieto, M.A., 2016. "Mobile social media for smart grids customer engagement: Emerging trends and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1611-1616.
    10. Shafiei, Ehsan & Thorkelsson, Hedinn & Ásgeirsson, Eyjólfur Ingi & Davidsdottir, Brynhildur & Raberto, Marco & Stefansson, Hlynur, 2012. "An agent-based modeling approach to predict the evolution of market share of electric vehicles: A case study from Iceland," Technological Forecasting and Social Change, Elsevier, vol. 79(9), pages 1638-1653.
    11. Kulkarni, Gauri & Ratchford, Brian T. & Kannan, P.K., 2012. "The Impact of Online and Offline Information Sources on Automobile Choice Behavior," Journal of Interactive Marketing, Elsevier, vol. 26(3), pages 167-175.
    12. Axsen, Jonn & Mountain, Dean C. & Jaccard, Mark, 2009. "Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles," Institute of Transportation Studies, Working Paper Series qt02n9j6cv, Institute of Transportation Studies, UC Davis.
    13. Christophe Van den Bulte & Stefan Stremersch, 2004. "Social Contagion and Income Heterogeneity in New Product Diffusion: A Meta-Analytic Test," Marketing Science, INFORMS, vol. 23(4), pages 530-544, July.
    14. Sue Duval & Richard Tweedie, 2000. "Trim and Fill: A Simple Funnel-Plot–Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis," Biometrics, The International Biometric Society, vol. 56(2), pages 455-463, June.
    15. Wiedmann, Klaus-Peter & Hennigs, Nadine & Pankalla, Lars & Kassubek, Martin & Seegebarth, Barbara, 2011. "Adoption barriers and resistance to sustainable solutions in the automotive sector," Journal of Business Research, Elsevier, vol. 64(11), pages 1201-1206.
    16. Adjemian, Michael K. & Cynthia Lin, C.-Y. & Williams, Jeffrey, 2010. "Estimating spatial interdependence in automobile type choice with survey data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(9), pages 661-675, November.
    17. H. Peyton Young, 2009. "Innovation Diffusion in Heterogeneous Populations: Contagion, Social Influence, and Social Learning," American Economic Review, American Economic Association, vol. 99(5), pages 1899-1924, December.
    18. Axsen, Jonn & Mountain, Dean C. & Jaccard, Mark, 2009. "Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles," Resource and Energy Economics, Elsevier, vol. 31(3), pages 221-238, August.
    19. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    20. Gaker, David & Zheng, Yanding & Walker, Joan, 2010. "Experimental Economics in Transportation: A Focus on Social Influences and the Provision of Information," University of California Transportation Center, Working Papers qt7vg9m3r1, University of California Transportation Center.
    21. Mark Grinblatt & Matti Keloharju & Seppo Ikäheimo, 2008. "Social Influence and Consumption: Evidence from the Automobile Purchases of Neighbors," The Review of Economics and Statistics, MIT Press, vol. 90(4), pages 735-753, November.
    22. Peres, Renana & Muller, Eitan & Mahajan, Vijay, 2010. "Innovation diffusion and new product growth models: A critical review and research directions," International Journal of Research in Marketing, Elsevier, vol. 27(2), pages 91-106.
    23. Sharmeen, Fariya & Arentze, Theo & Timmermans, Harry, 2014. "Dynamics of face-to-face social interaction frequency: role of accessibility, urbanization, changes in geographical distance and path dependence," Journal of Transport Geography, Elsevier, vol. 34(C), pages 211-220.
    24. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    25. Park, Sang Yong & Kim, Jong Wook & Lee, Duk Hee, 2011. "Development of a market penetration forecasting model for Hydrogen Fuel Cell Vehicles considering infrastructure and cost reduction effects," Energy Policy, Elsevier, vol. 39(6), pages 3307-3315, June.
    26. Ori Heffetz, 2011. "A Test of Conspicuous Consumption: Visibility and Income Elasticities," The Review of Economics and Statistics, MIT Press, vol. 93(4), pages 1101-1117, November.
    27. Sunitiyoso, Yos & Avineri, Erel & Chatterjee, Kiron, 2013. "Dynamic modelling of travellers’ social interactions and social learning," Journal of Transport Geography, Elsevier, vol. 31(C), pages 258-266.
    28. Maness, Michael & Cirillo, Cinzia & Dugundji, Elenna R., 2015. "Generalized behavioral framework for choice models of social influence: Behavioral and data concerns in travel behavior," Journal of Transport Geography, Elsevier, vol. 46(C), pages 137-150.
    29. Baltas, George & Saridakis, Charalampos, 2013. "An empirical investigation of the impact of behavioural and psychographic consumer characteristics on car preferences: An integrated model of car type choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 54(C), pages 92-110.
    30. Feng, Jie & Papatla, Purushottam, 2012. "Is Online Word of Mouth Higher for New Models or Redesigns? An Investigation of the Automobile Industry," Journal of Interactive Marketing, Elsevier, vol. 26(2), pages 92-101.
    31. Aini, M.S. & Chan, S.C. & Syuhaily, O., 2013. "Predictors of technical adoption and behavioural change to transport energy-saving measures in response to climate change," Energy Policy, Elsevier, vol. 61(C), pages 1055-1062.
    32. Eppstein, Margaret J. & Grover, David K. & Marshall, Jeffrey S. & Rizzo, Donna M., 2011. "An agent-based model to study market penetration of plug-in hybrid electric vehicles," Energy Policy, Elsevier, vol. 39(6), pages 3789-3802, June.
    33. Mau, Paulus & Eyzaguirre, Jimena & Jaccard, Mark & Collins-Dodd, Colleen & Tiedemann, Kenneth, 2008. "The 'neighbor effect': Simulating dynamics in consumer preferences for new vehicle technologies," Ecological Economics, Elsevier, vol. 68(1-2), pages 504-516, December.
    34. Ozaki, Ritsuko & Sevastyanova, Katerina, 2011. "Going hybrid: An analysis of consumer purchase motivations," Energy Policy, Elsevier, vol. 39(5), pages 2217-2227, May.
    35. Marc Dijk & René Kemp & Pieter Valkering, 2013. "Incorporating social context and co-evolution in an innovation diffusion model—with an application to cleaner vehicles," Journal of Evolutionary Economics, Springer, vol. 23(2), pages 295-329, April.
    36. Potoglou, Dimitris & Kanaroglou, Pavlos S., 2008. "Modelling car ownership in urban areas: a case study of Hamilton, Canada," Journal of Transport Geography, Elsevier, vol. 16(1), pages 42-54.
    37. Axsen, Jonn & Orlebar, Caroline & Skippon, Stephen, 2013. "Social influence and consumer preference formation for pro-environmental technology: The case of a U.K. workplace electric-vehicle study," Ecological Economics, Elsevier, vol. 95(C), pages 96-107.
    38. Schuitema, Geertje & Anable, Jillian & Skippon, Stephen & Kinnear, Neale, 2013. "The role of instrumental, hedonic and symbolic attributes in the intention to adopt electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 48(C), pages 39-49.
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