[
[1] European Commission. (2022). Internal Market, Industry, Entrepreneurship and SMEs. Automotive Industry. 2022
]Search in Google Scholar
[
[2] Fei, Z. & Li, L.Z. (2018). The Analysis for the Scale and Efficiency of China’s Major Automotive Enterprises Based on DEA Model. Journal of Mathematics Research 10(2), 129-139. DOI: 10.5539/jmr.v10n2p129.
]Open DOISearch in Google Scholar
[
[3] Stefanoni, S. & Voltes-Dorta, A. (2021). Technical efficiency of car manufacturers under environmental and sustainability pressures: A Data Envelopment Analysis approach. Journal of Cleaner Production 311, 127589. DOI: 10.1016/j.jclepro.2021.127589.
]Open DOISearch in Google Scholar
[
[4] Papouskova, K., Telecky, M. & Cejka, J. (2020). Process efficiency analysis of selected automotive companies in Europe. Communications-Scientific letters of the University of Zilina 22(4), 20-27. DOI: 10.26552/com.C.2020.4.20-27.
]Open DOISearch in Google Scholar
[
[5] Shaobing, C. & Xixian, C. (1996). The application of data envelopment analysis (DEA) on measuring the effect of technological innovation on scale-economies of the automobile. In 1996 IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems, Cat. No. 96CH35929 (vol. 3, pp. 2354-2358). IEEE.
]Search in Google Scholar
[
[6] Xie, B.C. & Wang, J.X. (2009). DEA Malmquist productivity measure with an application to special automobile industry. In 2009 6th International Conference on Service Systems and Service Management (pp. 25-30). IEEE.
]Search in Google Scholar
[
[7] Nandy, D. (2011). Efficiency Study of Indian Automobile Companies Using DEA Technique: A Case Study of Select Companies. IUP Journal of Operations Management 10(4).
]Search in Google Scholar
[
[8] Maritz, A. & Shieh, C.J. (2013). Performance Analysis of Automobile Industry in Taiwan with Data Envelopment Analysis. International Journal of Applied Mathematics and Statistics 38(8), 84-95.
]Search in Google Scholar
[
[9] Guan, S.P. & Pan, Y.Y. (2014). A study on innovation investing effectiveness of automobile listed companies. In 2014 International Conference on Management Science & Engineering 21th Annual Conference Proceedings (pp. 1778-1782). IEEE.
]Search in Google Scholar
[
[10] Çalmaşur, G. (2016). Technical efficiency analysis in the automotive industry: A stochastic frontier approach. International Journal of Economics, Commerce and Management 4(4), 120-137.
]Search in Google Scholar
[
[11] Otani, S. & Yamada, S. (2019). An analysis of automobile companies’ intensity targets for CO2 reduction: implications for managing performance related to carbon dioxide emissions. Total Quality Management & Business Excellence 30(3-4), 335-354. DOI: 10.1080/14783363.2017.1304818.
]Open DOISearch in Google Scholar
[
[12] Choi, K., Kim, C. & Kim, H.J. (2017). Multi-Period efficiency and productivity changes in global Automobile: A VRS–VRM and SML productivity index approach. Expert Systems with Applications 86, 77-86. DOI: 10.1016/j.eswa.2017.05.022.
]Open DOISearch in Google Scholar
[
[13] Du, J., Chen, Y. & Huang, Y. (2018). A Modified Malmquist-Luenberger Productivity Index: Assessing Environmental Productivity Performance in China. European Journal of Operational Research 269(1), 171-187. DOI: 10.1016/j.ejor.2017.01.006.
]Open DOISearch in Google Scholar
[
[14] Jiang, H., Han, L., Ding, Y. & He, Y. (2018). Operating efficiency evaluation of China listed automotive firms: 2012–2016. Sustainability 10(1), 184. DOI: 10.3390/su10010184.
]Open DOISearch in Google Scholar
[
[15] Panigrahi, R. (2021). Evaluating level efficiency versus growth efficiency in the Indian automobile industry in a non-parametric DEA approach. Global Business Review 22(4), 963-976. DOI: 10.1177/0972150918817386.
]Open DOISearch in Google Scholar
[
[16] Deloitte Touche Tohmatsu Limited. (2022). Understanding Covid-19’s impact on the automotive sector. Retrieved July 15, 2022, from https://www.deloitte.com/global/en/issues/resilience/understanding-covid-19-s-impact-on-the-automotive-sector.html
]Search in Google Scholar
[
[17] Statista. (2020, March). Estimated trade impact of the coronavirus (Covid-19) epidemic on the automotive sector as of February 2020. Retrieved July 15, 2022, from https://www.statista.com/statistics/1103657/economic-trade-impact-of-covid-19-on-the-auto-industry-by-market/
]Search in Google Scholar
[
[18] Kovárník, R. & Staňková, M. (2021). Determinants of Electric Car Sales in Europe. LOGI– Scientific Journal on Transport and Logistics 12(1), 214-225. DOI: 10.2478/logi-2021-0020.
]Open DOISearch in Google Scholar
[
[19] Dižo, J., Blatnický, M., Semenov, S., Mikhailov, E., Kostrzewski, M., Droździel, P. & Šťastniak, P. (2021). Electric and plug-in hybrid vehicles and their infrastructure in a particular European region. Transportation Research Procedia 55, 629-636. DOI: 10.1016/j.trpro.2021.07.029.
]Open DOISearch in Google Scholar
[
[20] KPMG. (2019, March). Technological changes in the automotive industry will be decided by politicians, car bosses think. Retrieved July 15, 2022, fromhttps://home.kpmg/cz/cs/home/pro-media/tiskove-zpravy/2019/03/o-technologickychzmenach-v-automobilovem-prumyslu-rozhodnou-politici.html
]Search in Google Scholar
[
[21] Dudziak, A., Stoma, M., Kuranc, A. & Caban, J. (2021). Assessment of Social Acceptance for Autonomous Vehicles in Southeastern Poland. Energies 14(18), 5778. DOI: 10.3390/en14185778.
]Open DOISearch in Google Scholar
[
[22] Dudziak, A., Droździel, P., Stoma, M. & Caban, J. (2022). Market Electrification for BEV and PHEV in Relation to the Level of Vehicle Autonomy. Energies 15(9), 3120. DOI: 10.3390/en15093120.
]Open DOISearch in Google Scholar
[
[23] Tucki, K., Orynycz, O., Świć, A. & Mitoraj-Wojtanek, M. (2019). The development of electromobility in Poland and EU states as a tool for management of CO2 emissions. Energies 12(15), 2942. DOI: 10.3390/en12152942.
]Open DOISearch in Google Scholar
[
[24] Staňková, M. (2020). Efficiency comparison and efficiency development of the metallurgical industry in the EU: Parametric and non-parametric approaches. Acta Univ. Agric. et Silvic. Mendel. Brun. 68(4), 765-774. DOI: 10.11118/actaun202068040765.
]Open DOISearch in Google Scholar
[
[25] Greene, W. (2005). Reconsidering heterogeneity in panel data estimators of the stochastic frontier model. Journal of econometrics 126(2), 269-303. DOI: 10.1016/j.jeconom.2004.05.003.
]Open DOISearch in Google Scholar
[
[26] Jondrow, J., Lovell, C.K., Materov, I.S. & Schmidt, P. (1982). On the estimation of technical inefficiency in the stochastic frontier production function model. Journal of econometrics 19(2-3), 233-238. DOI: 10.1016/0304-4076(82)90004-5.
]Open DOISearch in Google Scholar
[
[27] Battese, G.E. & Coelli, T.J. (1988). Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data. Journal of econometrics 38(3), 387-399. DOI: 10.1016/0304-4076(88)90053-X.
]Open DOISearch in Google Scholar
[
[28] Kabát, L., Hampel, D., Grochová, L., Janová, J. & Střelec, L. (2014). Alternative approaches for assessing the European countries economic and social results. Procedia Economics and Finance (12), 273-282. DOI: 10.1016/S2212-5671(14)00345-1.
]Open DOISearch in Google Scholar
[
[29] Belotti, F., Daidone, S., Ilardi, G. & Atella, V. (2013). Stochastic frontier analysis using Stata. The Stata Journal 13(4), 719-758. DOI: 10.2139/ssrn.2145803.
]Open DOISearch in Google Scholar
[
[30] Zámková, M., Střelec, L. Prokop, M. & Stolín, R. (2021). Flight Delay Causes at Selected Visegrad Group International Airports. European journal of business science and technology 7(1), 91-108. DOI: 10.11118/ejobsat.2021.003.
]Open DOISearch in Google Scholar
[
[31] Bohušová, H. & Blašková, V. (2012). In what ways are countries which have already adopted IFRS for SMEs different. Acta Univ. Agric. et Silvic. Mendel. Brun. 60(2), 37-44. DOI: 10.11118/actaun201260020037.
]Open DOISearch in Google Scholar
[
[32] Halkos, G.E. & Tzeremes, N.G. (2007). Productivity efficiency and firm size: An empirical analysis of foreign owned companies. International Business Review 16(6), 713-731. DOI: 10.1016/j.ibusrev.2007.06.002.
]Open DOISearch in Google Scholar
