Does digitalisation affect the adoption of electric vehicles? New regional-level evidence from Google Trends data

REFERENCES

• Abotalebi, E., Scott, D., & Ferguson, M. (2019). Why is electric vehicle uptake low in Atlantic Canada? A comparison to leading adoption provinces. Journal of Transport Geography, 74, 289–298. https://doi.org/10.1016/j.jtrangeo.2018.12.001
   Web of Science ®Google Scholar
• Algan, Y., Murtin, F., Beasley, E., Higa, K., & Senik, C. (2019). Well-being through the lens of the internet. PLoS ONE, 14(1), e0211586.
   PubMed Web of Science ®Google Scholar
• Askitas, N., & Zimmermann, K. (2009). Google econometrics and unemployment forecasting. Applied Economics Quarterly, 55(2), 107–120. https://doi.org/10.3790/aeq.55.2.107
   Google Scholar
• Bernard, M., Hall, D., & Lutsey, N. (2021). Update on electric vehicle uptake in European cities (Working Paper No. 2021-37). International Council on Clean Transportation.
   Google Scholar
• Braun, T., Cajias, M., & Hohenstatt, R. (2017). Societal influence on diffusion of green buildings: A count regression approach. Journal of Real Estate Research, 39(1), 1–38. https://doi.org/10.1080/10835547.2017.12091461
   Web of Science ®Google Scholar
• Castellacci, F., Consoli, D., & Santoalha, A. (2019). The role of e-skills in technological diversification in European regions. Regional Studies, 1123–1135.
   Google Scholar
• Castellacci, F., & Natera, J. M. (2013). The dynamics of national innovation systems: A panel cointegration analysis of the coevolution between innovative capability and absorptive capacity. Research Policy, 42(3), 579–594. https://doi.org/10.1016/j.respol.2012.10.006
   Web of Science ®Google Scholar
• Castellacci, F., & Schwabe, H. (2020). internet, unmet aspirations and the U-shape of life. PLoS ONE, 15(6), e0233099. https://doi.org/10.1371/journal.pone.0233099
   PubMed Web of Science ®Google Scholar
• Castellacci, F., & Tveito, V. (2018). internet use and well-being: A survey and a theoretical framework. Research Policy, 47(1), 308–325. https://doi.org/10.1016/j.respol.2017.11.007
   Web of Science ®Google Scholar
• D’Amuri, F., & Marcucci, J. (2009). ‘Google it!’ Forecasting the US unemployment rate with a Google job search index (MPRA Paper No. 18248). University Library of Munich.
   Google Scholar
• Falchetta, G., & Noussan, M. (2021). Electric vehicle charging in Europe: An accessibility and deployment trends analysis. Transportation Research Part D: Transport and Environment, 94, 102813. https://www.sciencedirect.com/science/article/pii/S1361920921001164
   Google Scholar
• Hilty, L., & Aebischer, B. (2014). ICT for sustainability: An emerging research field. In L. Hilty & B. Aebischer (Eds.), ICT innovations for sustainability (pp. 3–36).
   Google Scholar
• Iselin, D., & Siliverstovs, B. (2016). Using newspapers for tracking the business cycle: A comparative study for Germany and Switzerland. Applied Economics, 48(12), 1103–1118. https://doi.org/10.1080/00036846.2015.1093085
   Web of Science ®Google Scholar
• Johansen, S. (1991). Estimation and hypothesis testing of cointegration vectors in Gaussian vector autoregressive models. Econometrica, 59(6), 1551–1580. https://doi.org/10.2307/2938278
   Web of Science ®Google Scholar
• Jun, S., Yoo, H., & Choi, S. (2018). Ten years of research change using Google Trends: From the perspective of big data utilizations and applications. Technological Forecasting and Social Change, 130, 69–87. https://doi.org/10.1016/j.techfore.2017.11.009
   Web of Science ®Google Scholar
• Kholodilin, K., Podstawski, M., & Siliverstovs, B. (2010). Do Google searches help in nowcasting private consumption? A real-time evidence for the US (KOF Working Papers No. 256). ETH Zurich, KOF Swiss Economic Institute.
   Google Scholar
• Kumar, R., & Alok, K. (2020). Adoption of electric vehicle: A literature review and prospects for sustainability. Journal of Cleaner Production, 253, 119911. https://doi.org/10.1016/j.jclepro.2019.119911
   Web of Science ®Google Scholar
• Mihet-Popa, L., & Saponara, S. (2018). Toward green vehicles digitalization for the next generation of connected and electrified transport systems. Energies, 11(11), 3124. https://doi.org/10.3390/en11113124
   Web of Science ®Google Scholar
• Montresor, S., & Quatraro, F. (2020). Green technologies and Smart Specialisation strategies: A European patent-based analysis of the intertwining of technological relatedness and key enabling technologies. Regional Studies, 54(10), 1354–1365. https://doi.org/10.1080/00343404.2019.1648784
   Web of Science ®Google Scholar
• Natera, J. M., & Castellacci, F. (2021). Transformational complexity, systemic complexity and economic development. Research Policy, 50(7), 104275. https://doi.org/10.1016/j.respol.2021.104275
   Web of Science ®Google Scholar
• Noel, L., Sovacool, B., Kester, J., & Zarazua de Rubens, G. (2019). Conspicuous diffusion: Theorizing how status drives innovation in electric mobility. Environmental Innovation and Societal Transitions, 31, 154–169. https://doi.org/10.1016/j.eist.2018.11.007
   Web of Science ®Google Scholar
• Olson, E. (2018). Lead market learning in the development and diffusion of electric vehicles. Journal of Cleaner Production, 172, 3279–3288. https://doi.org/10.1016/j.jclepro.2017.10.318
   Web of Science ®Google Scholar
• Priessner, A., Sposato, R., & Hampl, N. (2018). Predictors of electric vehicle adoption: An analysis of potential electric vehicle drivers in Austria. Energy Policy, 122, 701–714. https://doi.org/10.1016/j.enpol.2018.07.058
   Web of Science ®Google Scholar
• Qiao, Y., & Rafer, R. (2022). Electric truck deployment in Chinese cities: Promotion policies and implications for future policymaking. Energy and Environment, 1, e433.
   Google Scholar
• Santoalha, A., Consoli, D., & Castellacci, F. (2021). Digital skills, relatedness and green diversification: A study of European regions. Research Policy, 50(9), 104340. https://doi.org/10.1016/j.respol.2021.104340
   Web of Science ®Google Scholar
• Singh, V., Singh, V., & Vaibhav, S. (2020). A review and simple meta-analysis of factors influencing adoption of electric vehicles. Transportation Research Part D: Transport and Environment, 86, 102436. https://doi.org/10.1016/j.trd.2020.102436
   Web of Science ®Google Scholar
• Sovacool, B. (2020). Governance and legitimation in the transition to Nordic electric mobility. In S. Sareen (Ed.), Enabling sustainable energy transitions practices of legitimation and accountable governance (pp. 73–88).
   Google Scholar
• Sovacool, B., Kester, J., Noel, L., & Zarazua de Rubens, G. (2018). The demographics of decarbonizing transport: The influence of gender, education, occupation, age, and household size on electric mobility preferences in the Nordic region. Global Environmental Change, 52, 86–100. https://doi.org/10.1016/j.gloenvcha.2018.06.008
   Web of Science ®Google Scholar
• Townsend, J., & Coroama, V. (2018). Digital acceleration of sustainability transition: The paradox of push impacts. Sustainability, 10(8), 2816. https://doi.org/10.3390/su10082816
   Web of Science ®Google Scholar
• Wang, Z., Zhao, C., Yin, J., & Zhang, B. (2017). Purchasing intentions of Chinese citizens on new energy vehicles: How should one respond to current preferential policy? Journal of Cleaner Production, 161, 1000–1010. https://doi.org/10.1016/j.jclepro.2017.05.154
   Web of Science ®Google Scholar
• Wappelhorst, S. (2021). Beyond major cities: Analysis of electric passenger car uptake in European rural regions (Working Paper No. 2021-10). International Council on Clean Transportation.
   Google Scholar