Technical efficiency analysis of oil companies in the Republic of Serbia

References

• Al-Mana, A. A., Nawaz, W., Kamal, A., & Koҫ, M. (2020). Financial and operational efficiencies of national and international oil companies: An empirical investigation. Resources Policy, 68, 101701. https://doi.org/10.1016/j.resourpol.2020.101701
   Web of Science ®Google Scholar
• Andries, M. A., & Cocris, V. (2010). A comparative analysis of the efficiency of Romanian Banks. Romanian Journal of Economic Forecasting, 13(4), 54–75. Retrieved from http://www.ipe.ro/rjef/rjef4_10/rjef4_10_5.pdf
   Web of Science ®Google Scholar
• Asmild, M., Paradi, J. C., Reese, D. N., & Tam, F. (2007). Measuring overall efficiency and effectiveness using DEA. European Journal of Operational Research, 178(1), 305–321. https://doi.org/10.1016/j.ejor.2006.01.014
   Web of Science ®Google Scholar
• Atris, A. M. (2020). Assessment of oil refinery performance: Application of data envelopment analysis-discriminant analysis. Resources Policy, 65, 101543. https://doi.org/10.1016/j.resourpol.2019.101543
   Web of Science ®Google Scholar
• Atris, A. M., & Goto, M. (2019). Vertical structure and efficiency assessment of the US oil and gas companies. Resources Policy, 63(C), 1. https://doi.org/10.1016/j.resourpol.2019.101437
   Google Scholar
• Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078–1092. https://doi.org/10.1287/mnsc.30.9.1078
   Web of Science ®Google Scholar
• Borges, F. M., Rampasso, I. S., Quelhas, O. L., Leal Filho, W., & Anholon, R. (2022). Addressing the UN SDGs in sustainability reports: An analysis of Latin American oil and gas companies. Environmental Challenges, 7, 100515. https://doi.org/10.1016/j.envc.2022.100515
   Google Scholar
• Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. https://doi.org/10.1016/0377-2217(78)90138-8
   Web of Science ®Google Scholar
• Charnes, A., Cooper, W. W., Lewin, A. Y., & Seiford, L. M. (1994). Data envelopment analysis: Theory, methodology and application. Kluwer Academic Publishers. https://doi.org/10.1007/978-94-011-0637-5
   Google Scholar
• Competition Commission. (2016). Analysis of the state of competition in the wholesale and retail markets of oil derivatives in the Republic of Serbia in 2014. Report. http://www.kzk.gov.rs/analiza-stanja-konkurencije-na-trzistu-trgovine-na-veliko-i-trzistu-trgovine-na-malo-naftnim-derivatima-u-republici-srbiji-u-2014
   Google Scholar
• Competition Commission. (2019). Report on Sectoral Analysis of the Retail Trade Market in 2018. Retrieved from http://www.kzk.gov.rs/kzk/wp-content/uploads/2019/12/12-2019-Sectoral-analysis-NAFTA-2018.pdf
   Google Scholar
• Cooper, W. W., Seiford, L. M., & Tone, K. (2000). Data envelopment analysis: A comprehensive text with models, applications, references and DEA-solver software. Kluwer Academic Publishers.
   Google Scholar
• Cooper, W. W., Seiford, L. M., & Zhu, J. (2004). Handbook of DEA. Kluwer Academic Publishers. https://doi.org/10.1007/b105307
   Google Scholar
• Cooper, W. W., Seiford, L. M., Zhu, J., et al. (2011). Data envelopment analysis: History, models, and interpretations. In: W. Cooper eds. Handbook on data envelopment analysis. Springer, pp. 1–39. https://doi.org/10.1007/978-1-4419-6151-8_1
   Google Scholar
• Craig, J. D., & Savage, S. J. (2013). (1996 to 2006). Market restructuring, competition and the efficiency of electricity generation: Plant-level evidence from the United States. The Energy Journal, 34(1), 1–31. https://doi.org/10.5547/01956574.34.1.1
   Web of Science ®Google Scholar
• Dalei, N. N., & Joshi, J. M. (2020). Estimating technical efficiency of petroleum refineries using DEA and Tobit model: An India perspective. Computers & Chemical Engineering, 142, 107047. https://doi.org/10.1016/j.compchemeng.2020.107047
   Web of Science ®Google Scholar
• Dlouhý, M. (2009). Efficiency and productivity analysis in health services. Prague Economic Papers, 18(2), 176–184. https://doi.org/10.18267/j.pep.348
   Web of Science ®Google Scholar
• Eller, S. L., Hartley, P. R., & Medlock, K. B. (2011). Empirical evidence on the operational efficiency of national oil companies. Empirical Economics, 40(3), 623–643. https://doi.org/10.1007/s00181-010-0349-8
   Web of Science ®Google Scholar
• Energy Law. (2011). Retrieved from http://www.aers.rs/files/Zakoni/Zakon%20o%20energetici_57-11.pdf
   Google Scholar
• Filimonova, I. V., Komarova, A. V., Provornaya, I. V., Dzyuba, Y. A., & Link, A. E. (2020). Efficiency of oil companies in Russia in the context of energy and sustainable development. Energy Reports, 6, 498–504. https://doi.org/10.1016/j.egyr.2020.09.027
   Web of Science ®Google Scholar
• Gong, B. (2018). Different behaviors in natural gas production between national and private oil companies: Economics-driven or environment-driven? Energy Policy, 114, 145–152. https://doi.org/10.1016/j.enpol.2017.12.004
   Web of Science ®Google Scholar
• Halkos, G. E., & Salamouris, D. S. (2004). Efficiency measurement of the Greek commercial banks with the use of financial ratios: A data envelopment analysis approach. Management Accounting Research, 15(2), 201–224. https://doi.org/10.1016/s1044-5005(04)00013-7
   Google Scholar
• Hatami-Marbini, A., Arabmaldar, A., & Asu, J. O. (2022). Robust productivity growth and efficiency measurement with undesirable outputs: Evidence from the oil industry. Or Spectrum, 1-42, 10–1007. https://doi.org/10.1007/s00291-022-00683-y
   Google Scholar
• Haykir, O., Yagli, I., Gok, E. D. A., & Budak, H. (2022). Oil price explosivity and stock return: Do sector and firm size matter? Resources Policy, 78, 102892. https://doi.org/10.2139/ssrn.4060882
   Web of Science ®Google Scholar
• Hosseini, K., & Stefaniec, A. (2019). Efficiency assessment of iran’s petroleum refining industry in the presence of unprofitable output: A dynamic two-stage slacks-based measure. Energy, 189, 116112. https://doi.org/10.1016/j.energy.2019.116112
   Web of Science ®Google Scholar
• Ike, C. B., & Lee, H. (2014). Measurement of the efficiency and productivity of national oil companies and its determinants. Geosystem Engineering, 17(1), 1–10. https://doi.org/10.1080/12269328.2014.887045
   Google Scholar
• Ismail, Z., Tai, J. C., Kong, K. K., Law, K. H., Shirazi, S. M., & Karim, R. (2013). Using data envelopment analysis in comparing the environmental performance and technical efficiency of selected companies in their global petroleum operations. Measurement, 46(9), 3401–3413. https://doi.org/10.1016/j.measurement.2013.04.076
   Web of Science ®Google Scholar
• Jablonský, J. A. (2007). Spreadsheet-based system for DEA models. Multiple Criteria Decision Making, 3, 51–64.
   Google Scholar
• Jarboui, S. (2021). Renewable energies and operational and environmental efficiencies of the US oil and gas companies: A true fixed effect model. Energy Reports, 7, 8667–8676. https://doi.org/10.1016/j.egyr.2021.04.032
   Web of Science ®Google Scholar
• Joly, M. (2012). Refinery production planning and scheduling: The refining core business. Brazilian Journal of Chemical Engineering, 29, 371–384. https://doi.org/10.1590/s0104-66322012000200017
   Web of Science ®Google Scholar
• Lagos, V. (2019). Effectiveness of Merger remedies: Evidence from the retail gasoline industry. Journal of Industrial Economics, 66(4), 942–979. https://doi.org/10.1111/joie.12188
   Web of Science ®Google Scholar
• Lukić, R. (2018). Analiza efikasnosti naftnih kompanija u Srbiji [Efficiency analysis of oil companies in Serbia]. Nafta i Plin, 38(154), 79–90. https://hrcak.srce.hr/204595
   Google Scholar
• Lukić, R. (2020). Analysis of the efficiency of trade in oil derivates in Serbia by applying the FUZZI AHP-TOPSIS method. Business Excellence and Management, September, 10(3), 80–98. https://doi.org/10.24818/beman/2020.10.3-06
   Google Scholar
• Ministry of Mining and Energy. (2022). Energy balance of the Republic of Serbia for the year 2022. https://www.mre.gov.rs/sites/default/files/2022/03/energetski_bilans_rs_za_2022__0.pdf
   Google Scholar
• Pappa, E. (2019). Efficiency and Innovation. In G. Ritzer (Ed.), The Blackwell Encyclopedia of Sociology. https://doi.org/10.1002/9781405165518.wbeose101.pub2
   Google Scholar
• Pai, P., Khan, B. M., & Kachwala, T. (2020). Data envelopment analysis – is BCC model better than CCR model? Case of indian life insurance companies. NMIMS Management Review, 38(1), 17–35.
   Web of Science ®Google Scholar
• Regulation on the Conditions and Manner of Oil Import and Processing. (2020). Retrieved from https://www.carina.rs/upload/media/2020/10/20/47053/NAFTA_RASPIS_LAT.pdf
   Google Scholar
• Řepková, I. (2014). Efficiency of the Czech banking sector employing the DEA window analysis approach. Procedia Economics and Finance, 12, 587–596. https://doi.org/10.1016/s2212-5671(14)00383-9
   Google Scholar
• Sarkis, J. (2007). Preparing your data for DEA. In J. Zhu, & W. D. Cook (Eds.) Modeling data irregularities and structural complexities in data envelopment analysis (pp. 305–320). Springer US. https://doi.org/10.1007/978-0-387-71607-7_17
   Google Scholar
• Savić, G., Radosavljević, M., & Ilijevski, D. (2012). DEA window analysis approach for measuring the efficiency of Serbian banks based on panel data. Management - Journal for Theory and Practice of Management, 17(65), 5–14. https://doi.org/10.7595/management.fon.2012.0028
   Google Scholar
• Savić, G. (2016). Implementacija analize obavijanja podataka [Application of DEA Method]. Retrieved from http://pa.fon.bg.ac.rs/wp-content/uploads/2016/02/Primena-DEA-metode.pdf
   Google Scholar
• Serbian Business Registers Agency. (2020). Financial statements. Retrieved from https://www.apr.gov.rs/home.1435.html
   Google Scholar
• Shahsavari, A., & Akbari, M. (2018). Potential of solar energy in developing countries for reducing energy-related emissions. Renewable and Sustainable Energy Reviews, 90, 275–291. https://doi.org/10.1016/j.rser.2018.03.065
   Web of Science ®Google Scholar
• Škuflić, L., Rabar, D., & Šokčević, S. (2015). Assessment of the efficiency of Croatian counties using data envelopment analysis. Economic Research-Ekonomska Istraživanja, 23(2010-2), 88–101. https://doi.org/10.1080/1331677x.2010.11517414
   Google Scholar
• Sueyoshi, T., & Wang, D. (2018). DEA environmental assessment on US petroleum industry: Non-radial approach with translation invariance in time horizon. Energy Economics, 72, 276–289. https://doi.org/10.1016/j.eneco.2018.02.003
   Web of Science ®Google Scholar
• Tavana, M., Khalili-Damghani, K., Arteaga, F. J. S., & Hosseini, A. (2019). A fuzzy multi-objective multi-period network DEA model for efficiency measurement in oil refineries. Computers & Industrial Engineering, 135, 143–155. https://doi.org/10.1016/j.cie.2019.05.033
   Web of Science ®Google Scholar
• Wang, D., & Li, T. (2018). Carbon emission performance of independent oil and natural gas producers in the United States. Sustainability, 10(1), 110. https://doi.org/10.3390/su10010110
   Web of Science ®Google Scholar
• Wolf, C. (2009). Does ownership matter? The performance and efficiency of State Oil vs. Private Oil (1987–2006). Energy Policy, 37(7), 2642–2652. https://doi.org/10.1016/j.enpol.2009.02.041
   Web of Science ®Google Scholar