Journals / Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi / 2019 / Cilt: 7 - Sayı: 1

The Impact of Socio-Economic Factors on the Sales of Electric Vehicles: A Panel Data Analysis

Elektrikli Araçların Satışı Üzerinde Sosyo-Ekonomik Faktörlerin Etkisi: Bir Panel Veri Analizi

Pages
17–21
Publication Date
2022-10-11
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Moreover, it was determined that the variable out of statistically significant variables is the urbanization which has the highest impact level impact on electric vehicle sales.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The aim of this study is to investigate whether there is an effect of socio-economic factors on the sales of electric vehicles from a macro perspective.
📊
Key Findings & Data:Therefore, electric vehicle sales figures of 12 countries between 2012 and 2015 and the per capita income, population density, education level, urbanization rates, oil prices, electric vehicle market share and renewable energy production variables were used.
💡
Conclusion & Impact:Moreover, it was determined that the variable out of statistically significant variables is the urbanization which has the highest impact level impact on electric vehicle sales.
🔬Design:Research Article
📍Scope:2012 Verileri
⚙️Variables:Domain Parameters

Abstract

The aim of this study is to investigate whether there is an effect of socio-economic factors on the sales of electric vehicles from a macro perspective. Therefore, electric vehicle sales figures of 12 countries between 2012 and 2015 and the per capita income, population density, education level, urbanization rates, oil prices, electric vehicle market share and renewable energy production variables were used. As a result of the work done with Unbalanced Panel Data Analysis, it has been determined that sales of electric vehicles significantly impact the educational level of the country, urbanization, renewable energy production and oil prices. Moreover, it was determined that the variable out of statistically significant variables is the urbanization which has the highest impact level impact on electric vehicle sales.

Özet

Bu çalışmanın amacı, elektrikli araç satışlarında sosyo ekonomik faktörlerin etkisinin bulunupbulunmadığının makro açıdan incelenmesidir. Dolayısıyla 12 ülkenin 2012-2015 yılları arasındakielektrikli araç satış rakamları ve bu ülkelere ait kişi başına düşen gelir, nüfus yoğunluğu, eğitimdüzeyi, kentleşme oranları, petrol fiyatları, elektrikli araç pazar payı ve yenilenebilir enerji üretimideğişkenleri kullanılmıştır. Dengesiz Panel Veri Analizi ile yapılan çalışmanın sonucunda elektrikliaraç satışlarını ülkenin eğitim düzeyinin, kentleşmenin, yenilenebilir enerji üretiminin ve petrolfiyatlarının istatistiki açıdan anlamlı olarak etkilediği tespit edilmiştir. Ayrıca istatistiksel açıdananlamlı çıkan değişkenlerden elektrikli araç satışları üzerinde en yüksek etki düzeyine sahip olandeğişkenin kentleşme değişkeni olduğu belirlenmiştir.

🔖

Cite This Article

ÖNDER, H., KAYA, O. C. (2022). The Impact of Socio-Economic Factors on the Sales of Electric Vehicles: A Panel Data Analysis. Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi, Cilt: 7 - Sayı: 1, 17–21. https://ajindex.com/articles/439987

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (10)

  1. Beggs, S., Cardell, S., & Hausman, J. (1981). Assessing the potential demand for electric cars. Journal of Econometrics, 17(1), 1-19.
  2. Bunch, D. S., Bradley, M., Golob, T. F., Kitamura, R., & Occhiuzzo, G. P. (1993). Demand for clean-fuel vehicles in California: A discrete-choice stated preference pilot project. Transportation Research Part A: Policy and Practice, 27(3), 237-253. https://doi.org/10.1016/0965- 8564(93)90062-P Ertuğral, S. M. (2011). Otomotiv Sektörü ve Gümrük Birliği Sonrası Gelişmeler. İstanbul Üniversitesi Sosyal Bilimler Meslek Yüksekokulu Sosyal Bilimler Dergisi, 2011(2), 75-83.
  3. Hidrue, M. K., Parsons, G. R., Kempton, W., & Gardner, M. P. (2011). Willingness to pay for electric vehicles and their attributes. Resource and Energy Economics, 33(3), 686-705. 10.1016/j.reseneeco.2011.02.002 IEA. (2017). Global EV Outlook 2017. Retrieved from France: İTO (2011). Otomotiv Sektör Raporu. (Erişim: 10.12.2011), http://www.ito.org.tr/Dokuman/Sektor/1-69.pdf
  4. Kerem, A. (2014). Elektrikli Araç Teknolojisinin Gelişimi ve Gelecek Beklentileri. Mehmet Akif Ersoy Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 5(1), 1-13.
  5. Kochhan, R., & Hörner, M. (2015). Costs and Willingnessto-Pay for Electric Vehicles. In: Sustainable Automotive Technologies 2014 (pp. 13-21).
  6. Korkmaz, T., Yıldız, B., & Gökbulut, İ. R. (2010). FVFM’nin İMKB ulusal 100 endeksindeki geçerliliğinin panel veri analizi ile test edilmesi. İstanbul Üniversitesi İşletme Fakültesi Dergisi, 39(1), 95-105.
  7. Li, Q., Long, R., Chen, H., & Geng, J. (2017). Low Purchase Willingness for Battery Electric Vehicles: Analysis and Simulation Based on the Fault Tree Model. Sustainability, 9(5). https://doi.org/10.3390/su9050809
  8. Li, X., Chen, P., & Wang, X. (2017). Impacts of renewables and socioeconomic factors on electric vehicle demands – Panel data studies across 14 countries. Energy Policy, 109, 473-478. https://doi.org/10.1016/j.enpol.2017.07.021
  9. Li, Y., Davis, C., Lukszo, Z., & Weijnen, M. (2016). Electric vehicle charging in China’s power system: Energy, economic and environmental trade-offs and policy implications. Applied Energy, 173, 535-554. https://doi.org/10.1016/j.apenergy.2016.04.040 OECD (2018a). Crude Oil Import Price. (Accessed January 5, 2018), https://data.oecd.org/energy/crude-oil-importprices.htm OECD (2018b). Renewable energy (indicator). (Accessed January 5, 2018), https://data.oecd.org/energy/renewable-energy.htm
  10. Sandalow, D. (2008). Ending Oil Dependence Protecting National Securityi t