디지털융복합연구 (Journal of Digital Convergence)

  • 제16권5호
  • /
  • Pages.213-220
  • /
  • 2018
  • /
  • 2713-6434(pISSN)
  • /
  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
권호 표지
DOI QR코드

DOI QR Code

선택 모형을 통한 소비자에 대한 전기자동차 수용성 및 선호도 연구

A Study on the Acceptability and Preference of Electric Car for Consumers through the Selective Model

  • 김은주 (이화여자대학교 소비자학)
  • Kim, Eun-Joo (Dept. of Consumer Studies, Ewha Womans University)
  • 투고 : 2018.02.19
  • 심사 : 2018.05.20
  • 발행 : 2018.05.28
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

우리나라의 자동차 산업은 국가 경제에 미치는 비중이 매우 큰 산업분야이다. 현재는 전 세계적으로 저탄소 녹색성장에 대한 관심이 날로 커지면서 자동차 산업의 미래경쟁력에 적극적인 확보를 해야 할 시대가 도래 하였다. 따라서, 기술적 사회적 변화가 예상되는 시점에서 전기 자동차에 대한 소비자의 구매 태도 및 의도에 관한 연구는 반드시 필요하다. 본 논문은 250명을 대상으로 전기자동차에 대한 수용성 및 선호도를 조사하였으며 결과는 다음과 같다. 월소득이 적을수록, 거주자 수가 많을수록 전기자동차를 수용하겠다고 결정하였으며, 전기자동차가 소비자에게 미치는 영향이 클수록, 전기자동차는 소비자가 전기자동차에 대한 관심이 클수록 전기자동차를 수용하겠다고 결정하였다. 그리고, 인구통계학적 특성 중 세 가지(월소득, 거주수, 거주형태)는 전기자동차의 만족도에 대한 차이는 있는 것으로 나타났다. 전기자동차의 만족도를 분석한 결과, 전기자동차는 소비자에게 미치는 영향이 크면 클수록 전기자동차에 약 3.5배 만족하며, 전기자동차에 대한 소비자의 관심이 크면 클수록 전기자동차에 약 2.1배 만족하는 것으로 나타났다.

The automobile industry in Korea is a very large industrial sector. Nowadays, as the interest in low carbon green growth grows all over the world, it is time to actively secure future competitiveness of the automobile industry. Therefore, it is essential to study consumer attitudes and intentions for electric vehicles at the time when technological and social changes are expected. This study was conducted to investigate the acceptability and preference of electric vehicle for 250 people. The results are as follows. As the monthly income and the number of residents increased, the decision was made to accommodate the electric vehicle. The larger the effect of the electric vehicle on the consumers, the more the electric car decided to accommodate the electric car. In addition, three demographic characteristics (monthly income, number of residents, residence type) showed that there was a difference in satisfaction of electric vehicles. As a result of analyzing the satisfaction level of the electric vehicle, it was found that the electric vehicle has a satisfactory effect on the consumer, the electric vehicle is about 3.5 times more satisfying, and the larger the interest of the electric car is, the more the electric car is about 2.1 times.

키워드

참고문헌

  1. Ajzen I. (1991). The theory of planned behavior. Organ Behav Hum Dec Process, 50, 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
  2. Asplund, M., Jinkins, D., Lutz, C., & Paizs, G. (2018). Winners and Losers from an Announced Excise Tax Hike: Tesla in Denmark.
  3. Australia's Surprising Falling Load And Clean Push. (2013). EEnergy Informer.
  4. Bonne M & Bonaiuto M. (2002). Environmental psychology: from spatial-.physical environment to sustainable development. In: Bechtel RG, Churchman A, editors. Handbook of environmental psychology.
  5. Borenstein S. (2011). Equity (and some efficiency) effects of increasing-block electricity pricing,
  6. C. K, Park, D. Y. Choi & H. J. Kim. (2013). Analysis of the Impact of Smart Grids on Managing EVs' Electrical Loads. Journal of Digital Convergence, 11(11), 767-774 https://doi.org/10.14400/JDPM.2013.11.11.767
  7. D. S. Parker, & Hoak, D. Cummings, J (2008). Pilot Evaluation of Energy Savings from Residential Energy Demand Feedback Devices. FSEC-CR-1742-08. Cocoa: Florida Solar Energy Center
  8. Haustein, S. & Jensen, A. F. (2018). Factors of electric vehicle adoption: A comparison of conventional and electric car users based on an extended theory of planned behavior. International Journal of Sustainable Transportation, 1-13.
  9. Helmers, E., Dietz, J. & Hartard, S. (2017). Electric car life cycle assessment based on real-world mileage and the electric conversion scenario. The International Journal of Life Cycle Assessment, 22(1), 15-30. https://doi.org/10.1007/s11367-015-0934-3
  10. Hua, Y., Zhao, D., Wang, X., & Li, X. (2018). Scenario-based Multistage Stochastic Model for Infrastructure Planning for One-way Electric Car Sharing
  11. J. W. Gu, J. H. Lee, M. S. Chung & J. Y. Lee. (2017). Electric Vehicle Technology Trends Forecast Research Using the Paper and Patent Data. Journal of Digital Convergence, 15(2), 165-172. https://doi.org/10.14400/JDC.2017.15.2.165
  12. Kong, Y. S., Abdullah, S., Omar, M. Z., Haris, S. M., Schramm, D., Bruckmann, T. & Kracht, F. E. (2018). Observing the Durability Effects of a Formula Student Electric Car using Acceleration and Strain Signals. In Mobilitat und digitale Transformation, 259-280.
  13. Moons, I., & De Pelsmacker, P. (2012). Emotions as determinants of electric car usage intention. Journal of Marketing Management, 28(3-4), 195-237. https://doi.org/10.1080/0267257X.2012.659007
  14. Paine, C. & Confidential, E. V. (2006). Who killed the electric car?.
  15. Pelsmacker, D. (2017). Personal Values, Green Self-identity and Electric Car Adoption. Ecological economics.
  16. Sardianou E (2007). Estimating energy conservation patterns of Greek households. Energy Policy; 25, 3778-3791
  17. S. Y. Jung, J. Kwak. (2013). Smart Card and Dynamic ID Based Electric Vehicle User Authentication Scheme. Journal of Digital Convergence, 11(7), 141-148. https://doi.org/10.14400/JDPM.2013.11.7.141
  18. Truchot, B., Fouillen, F., & Collet, S. (2018). An experimental evaluation of toxic gas emissions from vehicle fires. Fire Safety Journal.