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Does environmental awareness fuel the electric vehicle market? A Twitter keyword analysis

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  • Austmann, Leonhard M.
  • Vigne, Samuel A.

Abstract

Zero emission battery electric vehicles and plug-in hybrid electric vehicles have the ability to reduce CO2 emissions and hence mitigate climate change. Consequently, understanding the macroeconomic drivers of sales has been of increasing interest in the past years. One factor that has frequently been investigated in relation to an individual's electric vehicle purchase intentions is his or her level of environmental awareness (EA). Previous research analysing this question on a macroeconomic level is, however, very limited. Applying a novel method in this field in form of a Twitter keyword analysis, this study aims to analyse the effect of EA on the electric vehicle market in 27 member states of the European Union (EU) as well as two European Free Trade Association (EFTA) states. The results of the investigation show that EA does not significantly influence the electric vehicle market in the investigated time period, and instead indicate why other factors might currently play a more significant role. We contribute to the existing literature by introducing a new measurement method of EA to this research field and by contributing to the understanding of the impact of EA on electric vehicle registrations.

Suggested Citation

  • Austmann, Leonhard M. & Vigne, Samuel A., 2021. "Does environmental awareness fuel the electric vehicle market? A Twitter keyword analysis," Energy Economics, Elsevier, vol. 101(C).
    • Handle: RePEc:eee:eneeco:v:101:y:2021:i:c:s0140988321002437
    DOI: 10.1016/j.eneco.2021.105337
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    More about this item

    Keywords

    Electric vehicles; Energy; Green; Environmental awareness; Twitter;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination
    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
    • L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

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