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Panagiotis Dimitrios Zervopoulos

Personal Details

First Name:Panagiotis
Middle Name:D.
Last Name:Zervopoulos
Suffix:
RePEc Short-ID:pze76
[This author has chosen not to make the email address public]

Affiliation

Department of Economic and Regional Development
Panteion University of Social and Political Sciences

Athens, Greece
http://topa.gr/
RePEc:edi:depangr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters Books

Working papers

  1. Zervopoulos, Panagiotis & Emrouznejad, Ali & Sklavos, Sokratis, 2019. "A Bayesian approach for correcting bias of data envelopment analysis estimators," MPRA Paper 91886, University Library of Munich, Germany.
  2. Kounetas, Kostas & Zervopoulos, Panagiotis, 2017. "Annex I and non-Annex I countries’productive performance revisited using a generalized directional distance function under a metafrontier framework: Is there any convergence-divergence pattern for tec," MPRA Paper 80904, University Library of Munich, Germany.
  3. Makrydemetres, Anthony & Zervopoulos, Panagiotis D. & Pravita, Maria-Eliana, 2016. "Reform of public administration in Greece: evaluating structural reform of central government departmentsin Greece: application of the DEA methodology," LSE Research Online Documents on Economics 65567, London School of Economics and Political Science, LSE Library.
  4. Fafaliou, Irene & Zervopoulos, Panagiotis, 2014. "Strategy in practice: a quantitative approach to target setting," MPRA Paper 54054, University Library of Munich, Germany.
  5. Xu, Jin & Zervopoulos, Panagiotis & Qian, Zhenhua & Cheng, Gang, 2012. "A universal solution for units-invariance in data envelopment analysis," MPRA Paper 41633, University Library of Munich, Germany.
  6. Zervopoulos, Panagiotis, 2012. "Dealing with small samples and dimensionality issues in data envelopment analysis," MPRA Paper 39226, University Library of Munich, Germany.
  7. Cheng, Gang & Zervopoulos, Panagiotis, 2012. "A proxy approach to dealing with the infeasibility problem in super-efficiency data envelopment analysis," MPRA Paper 42064, University Library of Munich, Germany.
  8. Cheng, Gang & Zervopoulos, Panagiotis, 2012. "A generalized directional distance function in data envelopment analysis and its application to a cross-country measurement of health efficiency," MPRA Paper 42068, University Library of Munich, Germany.
  9. Zervopoulos, Panagiotis & Vargas, Francisco & Cheng, Gang, 2011. "A rational road to effectiveness attainment," MPRA Paper 31202, University Library of Munich, Germany.
  10. Filippou, Miltiades & Zervopoulos, Panagiotis, 2011. "Developing a short-term comparative optimization forecasting model for operational units’ strategic planning," MPRA Paper 30766, University Library of Munich, Germany.
  11. Cheng, Gang & Qian, Zhenhua & Zervopoulos, Panagiotis, 2011. "Overcoming the infeasibility of super-efficiency DEA model: a model with generalized orientation," MPRA Paper 31991, University Library of Munich, Germany.
  12. Filippou, Miltiades & Zervopoulos, Panagiotis, 2011. "Developing a hybrid comparative optimization model for short-term forecasting: an ‘idle time interval’ roadmap for operational units’ strategic planning," MPRA Paper 41573, University Library of Munich, Germany.
  13. Brissimis, Sophocles & Zervopoulos, Panagiotis, 2011. "Developing a step-by-step effectiveness assessment model for customer-oriented service organizations," MPRA Paper 30765, University Library of Munich, Germany.
  14. Cheng, Gang & Zervopoulos, Panagiotis & Qian, Zhenhua, 2011. "A variant of radial measure capable of dealing with negative inputs and outputs in data envelopment analysis," MPRA Paper 30951, University Library of Munich, Germany.
  15. Zervopoulos, Panagiotis & Palaskas, Theodosios, 2010. "Εφαρμογή Μετρήσεων Απόδοσης – Αποτελεσματικότητας - Αποδοτικότητας Στη Δημόσια Διοίκηση: Διεθνής Και Ελληνική Εμπειρία [Performance – effectiveness – efficiency measurement methods in public sector," MPRA Paper 30936, University Library of Munich, Germany.

Articles

  1. Ahmad Majid Ahmad Nasser Lootah & Hussein A. Hassan Al Tamimi & Panagiotis D. Zervopoulos, 2024. "Assessing the Impact of M&As’ Motives Influencing the M&A Decision Making Process in the UAE Banking Sector," International Journal of Economics and Financial Issues, Econjournals, vol. 14(3), pages 192-205, May.
  2. Ilias Vlachos & Panagiotis D. Zervopoulos & Gang Cheng, 2024. "Supply chain performance evaluation using a network data envelopment analysis model with bias-corrected estimates," Annals of Operations Research, Springer, vol. 337(1), pages 343-395, June.
  3. Alyaa Hamed Alyammahi & Abu Elias Sarker & Panagiotis Zervopoulos, 2024. "Linking Entrepreneurial Orientation, Learning Orientation, Organization Structure and the Growth of Government," Administrative Sciences, MDPI, vol. 14(10), pages 1-16, October.
  4. Nedal Assad & Aziz Jaafar & Panagiotis D. Zervopoulos, 2023. "The interplay of real earnings management and investment efficiency: Evidence from the U.S," Cogent Business & Management, Taylor & Francis Journals, vol. 10(2), pages 2237174-223, December.
  5. Kanas, Angelos & Molyneux, Philip & Zervopoulos, Panagiotis D., 2023. "Systemic risk and CO2 emissions in the U.S," Journal of Financial Stability, Elsevier, vol. 64(C).
  6. Panagiotis D. Zervopoulos & Konstantinos Triantis & Sokratis Sklavos & Angelos Kanas, 2023. "An alternative Bayesian data envelopment analysis approach for correcting bias of efficiency estimators," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 74(4), pages 1021-1041, April.
  7. Angelos Kanas & Panagiotis D. Zervopoulos, 2022. "Federal home loan bank advances and systemic risk," Review of Quantitative Finance and Accounting, Springer, vol. 59(4), pages 1525-1557, November.
  8. Hussein A. Hassan Al Tamimi & Andi Duqi & Angelos Kanas & Panagiotis D. Zervopoulos, 2022. "Directional distance function DEA estimators for evaluating efficiency gains from possible mergers and acquisitions," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 73(6), pages 1240-1257, June.
  9. Angelos Kanas & Panagiotis D. Zervopoulos, 2021. "Systemic risk, real GDP growth, and sentiment," Review of Quantitative Finance and Accounting, Springer, vol. 57(2), pages 461-485, August.
  10. Panagiotis Mitropoulos & Panagiotis D. Zervopoulos & Ioannis Mitropoulos, 2020. "Measuring performance in the presence of noisy data with targeted desirable levels: evidence from healthcare units," Annals of Operations Research, Springer, vol. 294(1), pages 537-566, November.
  11. Angelos Kanas & Panagiotis D. Zervopoulos, 2020. "Systemic risk-shifting in U.S. commercial banking," Review of Quantitative Finance and Accounting, Springer, vol. 54(2), pages 517-539, February.
  12. Angelos Kanas & Angelos Kotios & Panagiotis D. Zervopoulos, 2019. "Semi-parametric real exchange rates dynamics," Review of Quantitative Finance and Accounting, Springer, vol. 52(2), pages 643-656, February.
  13. Panagiotis D. Zervopoulos & Sokratis Sklavos & Angelos Kanas & Gang Cheng, 2019. "A multi-parametric method for bias correction of DEA efficiency estimators," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(4), pages 655-674, April.
  14. Kounetas, Konstantinos & Zervopoulos, Panagiotis D., 2019. "A cross-country evaluation of environmental performance: Is there a convergence-divergence pattern in technology gaps?," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1136-1148.
  15. Zervopoulos, Panagiotis D. & Brisimi, Theodora S. & Emrouznejad, Ali & Cheng, Gang, 2016. "Performance measurement with multiple interrelated variables and threshold target levels: Evidence from retail firms in the US," European Journal of Operational Research, Elsevier, vol. 250(1), pages 262-272.
  16. Cheng, Gang & Zervopoulos, Panagiotis D., 2014. "Estimating the technical efficiency of health care systems: A cross-country comparison using the directional distance function," European Journal of Operational Research, Elsevier, vol. 238(3), pages 899-910.
  17. Cheng, Gang & Zervopoulos, Panagiotis & Qian, Zhenhua, 2013. "A variant of radial measure capable of dealing with negative inputs and outputs in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 225(1), pages 100-105.
  18. Brissimis, Sophocles N. & Zervopoulos, Panagiotis D., 2012. "Developing a step-by-step effectiveness assessment model for customer-oriented service organizations," European Journal of Operational Research, Elsevier, vol. 223(1), pages 226-233.
  19. Jin XU & Panagiotis ZERVOPOULOS & Zhenhua QIAN & Gang CHENG, 2012. "A Universal Solution For Units - Invariance In Data Envelopment Analysis," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 3(2), pages 121-128.
  20. Irene Fafaliou & Panagiotis Zervopoulos, 2005. "The Ambiguity of the Enterprise Resource Planning (ERP): Hit or Doom?," European Research Studies Journal, European Research Studies Journal, vol. 0(3-4), pages 103-103.

Chapters

  1. Jawahir M. Alshehhi & Panagiotis D. Zervopoulos, 2024. "The Role of Institutional Factors in Shaping Environmental Performance: Evidence from Developed and Developing Countries," Lecture Notes in Operations Research, in: Ali Emrouznejad & Panagiotis D. Zervopoulos & Ilhan Ozturk & Dima Jamali & John Rice (ed.), Business Analytics and Decision Making in Practice, chapter 0, pages 97-108, Springer.
  2. Panagiotis D. Zervopoulos & Angelos Kanas & Ali Emrouznejad & Philip Molyneux, 2024. "Can Super-Efficiencies Improve Bias Correction? A Bayesian Data Envelopment Analysis Approach," Lecture Notes in Operations Research, in: Ali Emrouznejad & Emmanuel Thanassoulis & Mehdi Toloo (ed.), Advances in the Theory and Applications of Performance Measurement and Management, pages 21-31, Springer.
  3. Constantinos Zacharias & Panagiotis D. Zervopoulos & Ali Emrouznejad & Konstantinos Triantis & Gang Cheng, 2024. "A Kernel Bayesian Data Envelopment Analysis Approach for Bias Correction of Efficiencies," Lecture Notes in Operations Research, in: Ali Emrouznejad & Panagiotis D. Zervopoulos & Ilhan Ozturk & Dima Jamali & John Rice (ed.), Business Analytics and Decision Making in Practice, chapter 0, pages 175-185, Springer.
  4. Panagiotis D. Zervopoulos, 2014. "Measuring the Performance of Service Organizations and the Effects of Downsizing on Performance: Evidence from the Greek Citizen Service Centers," International Series in Operations Research & Management Science, in: Ali Emrouznejad & Emilyn Cabanda (ed.), Managing Service Productivity, edition 127, pages 127-154, Springer.

Books

  1. Ali Emrouznejad & Panagiotis D. Zervopoulos & Ilhan Ozturk & Dima Jamali & John Rice (ed.), 2024. "Business Analytics and Decision Making in Practice," Lecture Notes in Operations Research, Springer, number 978-3-031-61589-4, October.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Makrydemetres, Anthony & Zervopoulos, Panagiotis D. & Pravita, Maria-Eliana, 2016. "Reform of public administration in Greece: evaluating structural reform of central government departmentsin Greece: application of the DEA methodology," LSE Research Online Documents on Economics 65567, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Daniela ANTONESCU & Florina POPA, 2016. "Criteria of Economic and Social Efficiency of Public Administration in Romania," Romanian Journal of Economics, Institute of National Economy, vol. 43(2(52)), pages 156-184, december.
    2. Athanasia Chalari & Clive Sealey & Mike Webb, 2016. "A Comparison of Subjective Experiences and Responses to Austerity of UK and Greek Youth," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 102, Hellenic Observatory, LSE.
    3. Platon Monokroussos & Dimitrios D. Thomakos & Thomas A. Alexopoulos, 2016. "The Determinants of Loan Loss Provisions: An Analysis of the Greek Banking System in Light of the Sovereign Debt Crisis," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 104, Hellenic Observatory, LSE.
    4. Dimitris Apostolakos & Theodore Metaxas, 2021. "Executive Selection Process and Job Satisfaction: The Case of the Independent Authority for Public Revenue (IAPR) in Greece," Administrative Sciences, MDPI, vol. 11(3), pages 1-15, September.
    5. Konstantinos Kougias, 2017. "‘Real’ Flexicurity Worlds in action: Evidence from Denmark and Greece," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 106, Hellenic Observatory, LSE.
    6. Jacob A. Jordaan & Vassilis Monastiriotis, 2016. "The domestic productivity effects of FDI in Greece: loca(lisa)tion matters!," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 105, Hellenic Observatory, LSE.
    7. Rosa VAsilaki, 2016. "Policing the crisis in Greece: The others' side of the story," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 98, Hellenic Observatory, LSE.
    8. Chalari, Athanasia & Sealey, Clive & Webb, Mike, 2016. "A comparison of subjective experiencesand responses to austerity of UK andGreek youth," LSE Research Online Documents on Economics 68585, London School of Economics and Political Science, LSE Library.
    9. Antonescu, Daniela, 2016. "Eficienţa Economică A Administraţiei Publice Din Uniunea Europeană Și România [Economic Efficiency Of Public Administration In European Union And Romania]," MPRA Paper 75291, University Library of Munich, Germany.
    10. Kougias, Konstantinos, 2017. "‘Real’ flexicurity worlds in action: evidence from Denmark and Greece," LSE Research Online Documents on Economics 69576, London School of Economics and Political Science, LSE Library.

  2. Cheng, Gang & Qian, Zhenhua & Zervopoulos, Panagiotis, 2011. "Overcoming the infeasibility of super-efficiency DEA model: a model with generalized orientation," MPRA Paper 31991, University Library of Munich, Germany.

    Cited by:

    1. Corrado lo Storto, 2021. "Eco-Productivity Analysis of the Municipal Solid Waste Service in the Apulia Region from 2010 to 2017," Sustainability, MDPI, vol. 13(21), pages 1-21, October.
    2. Grazyna Kozun-Cieslak, 2022. "How Does Ukraine Deal with the Efficiency of Public Spending on Education Compared to European Union Countries?," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 1008-1024.
    3. Grazyna Kozun-Cieslak & Pavel Zdrazil, 2021. "Efficiency of Healthcare Systems in the European Union States – Who Performs Better – Bismarckians or Beveridgeans?," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 4), pages 397-411.

  3. Brissimis, Sophocles & Zervopoulos, Panagiotis, 2011. "Developing a step-by-step effectiveness assessment model for customer-oriented service organizations," MPRA Paper 30765, University Library of Munich, Germany.

    Cited by:

    1. Fang, Lei, 2015. "Centralized resource allocation based on efficiency analysis for step-by-step improvement paths," Omega, Elsevier, vol. 51(C), pages 24-28.

  4. Cheng, Gang & Zervopoulos, Panagiotis & Qian, Zhenhua, 2011. "A variant of radial measure capable of dealing with negative inputs and outputs in data envelopment analysis," MPRA Paper 30951, University Library of Munich, Germany.

    Cited by:

    1. Kao, Chiang, 2022. "Measuring efficiency in a general production possibility set allowing for negative data: An extension and a focus on returns to scale," European Journal of Operational Research, Elsevier, vol. 296(1), pages 267-276.
    2. Cordero Ferrera, Jose Manuel & Alonso Morán, Edurne & Nuño Solís, Roberto & Orueta, Juan F. & Souto Arce, Regina, 2013. "Efficiency assessment of primary care providers: A conditional nonparametric approach," MPRA Paper 51926, University Library of Munich, Germany.
    3. Björn Blöndal & Tinna Laufey Ásgeirsdóttir, 2019. "Costs and efficiency of gatekeeping under varying numbers of general practitioners," International Journal of Health Planning and Management, Wiley Blackwell, vol. 34(1), pages 140-156, January.
    4. Mastromarco, Camilla & Simar, Leopold, 2018. "Globalization and productivity: A robust nonparametric world frontier analysis," LIDAM Reprints ISBA 2018008, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    5. Li, Tao & Yang, Wenyue & Zhang, Haoran & Cao, Xiaoshu, 2016. "Evaluating the impact of transport investment on the efficiency of regional integrated transport systems in China," Transport Policy, Elsevier, vol. 45(C), pages 66-76.
    6. Liu, Yong-Jun & Yang, Guo-Sen & Zhang, Wei-Guo, 2024. "A novel regret-rejoice cross-efficiency approach for energy stock portfolio optimization," Omega, Elsevier, vol. 126(C).
    7. Mohammad Izadikhah & Reza Farzipoor Saen & Razieh Roostaee, 2018. "How to assess sustainability of suppliers in the presence of volume discount and negative data in data envelopment analysis?," Annals of Operations Research, Springer, vol. 269(1), pages 241-267, October.
    8. Tone, Kaoru & Chang, Tsung-Sheng & Wu, Chen-Hui, 2020. "Handling negative data in slacks-based measure data envelopment analysis models," European Journal of Operational Research, Elsevier, vol. 282(3), pages 926-935.
    9. Sepideh Kaffash & Reza Kazemi Matin & Mohammad Tajik, 2018. "A directional semi-oriented radial DEA measure: an application on financial stability and the efficiency of banks," Annals of Operations Research, Springer, vol. 264(1), pages 213-234, May.
    10. Halická, Margaréta & Trnovská, Mária & Černý, Aleš, 2024. "A unified approach to radial, hyperbolic, and directional efficiency measurement in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 312(1), pages 298-314.
    11. Tan, Kim Hua & Zhan, YuanZhu & Ji, Guojun & Ye, Fei & Chang, Chingter, 2015. "Harvesting big data to enhance supply chain innovation capabilities: An analytic infrastructure based on deduction graph," International Journal of Production Economics, Elsevier, vol. 165(C), pages 223-233.
    12. Tavana, Madjid & Izadikhah, Mohammad & Toloo, Mehdi & Roostaee, Razieh, 2021. "A new non-radial directional distance model for data envelopment analysis problems with negative and flexible measures," Omega, Elsevier, vol. 102(C).
    13. Lin, Ruiyue & Liu, Yue, 2019. "Super-efficiency based on the directional distance function in the presence of negative data," Omega, Elsevier, vol. 85(C), pages 26-34.
    14. Lin, Shuguang & Shi, Hai-Liu & Wang, Ying-Ming, 2022. "An integrated slacks-based super-efficiency measure in the presence of nonpositive data," Omega, Elsevier, vol. 111(C).
    15. Ruiyue Lin & Zhiping Chen, 2017. "A directional distance based super-efficiency DEA model handling negative data," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(11), pages 1312-1322, November.
    16. Majid Azadi & Zohreh Moghaddas & Reza Farzipoor Saen & Angappa Gunasekaran & Sachin Kumar Mangla & Alessio Ishizaka, 2023. "Using network data envelopment analysis to assess the sustainability and resilience of healthcare supply chains in response to the COVID-19 pandemic," Annals of Operations Research, Springer, vol. 328(1), pages 107-150, September.
    17. Mehdi Soltanifar & Hamid Sharafi, 2022. "A modified DEA cross efficiency method with negative data and its application in supplier selection," Journal of Combinatorial Optimization, Springer, vol. 43(1), pages 265-296, January.
    18. Amineh Ghazi & Farhad Hosseinzadeh Lotfi & Masoud Sanei, 2020. "Hybrid efficiency measurement and target setting based on identifying defining hyperplanes of the PPS with negative data," Operational Research, Springer, vol. 20(2), pages 1055-1092, June.
    19. Aparicio, Juan & Pastor, Jesus T. & Vidal, Fernando, 2016. "The directional distance function and the translation invariance property," Omega, Elsevier, vol. 58(C), pages 1-3.
    20. K. Kerstens & I. van de Woestyne, 2014. "A note on a variant of radial measure capable of dealing with negative inputs and outputs in DEA," Post-Print hal-00918291, HAL.
    21. Cordero, José Manuel & Alonso-Morán, Edurne & Nuño-Solinis, Roberto & Orueta, Juan F. & Arce, Regina Sauto, 2015. "Efficiency assessment of primary care providers: A conditional nonparametric approach," European Journal of Operational Research, Elsevier, vol. 240(1), pages 235-244.
    22. Ebenezer Fiifi Emire Atta Mills & Siegfried Anyomi & Mavis Agyapomah Baafi & Prasad Siba Borah, 2022. "A dynamic SBM‐DEA and portfolio formation test approach to the operating efficiency‐stock returns nexus," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(7), pages 3095-3106, October.
    23. Cui, Qiang & Jin, Zi-yin, 2020. "Airline environmental efficiency measures considering negative data: An application of a modified network Modified Slacks-based measure model," Energy, Elsevier, vol. 207(C).
    24. Ebenezer Fiifi Emire Atta Mills & Mavis Agyapomah Baafi & Fangbiao Liu & Kailin Zeng, 2021. "Dynamic operating efficiency and its determining factors of listed real‐estate companies in China: A hierarchical slack‐based DEA‐OLS approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3352-3376, July.
    25. Victoria Wojcik & Harald Dyckhoff & Sebastian Gutgesell, 2017. "The desirable input of undesirable factors in data envelopment analysis," Annals of Operations Research, Springer, vol. 259(1), pages 461-484, December.
    26. Cova-Alonso, David José & Díaz-Hernández, Juan José & Martínez-Budría, Eduardo, 2021. "A strong efficiency measure for CCR/BCC models," European Journal of Operational Research, Elsevier, vol. 291(1), pages 284-295.
    27. Banker, Rajiv & Chen, Janice Y.S. & Klumpes, Paul, 2016. "A trade-level DEA model to evaluate relative performance of investment fund managers," European Journal of Operational Research, Elsevier, vol. 255(3), pages 903-910.
    28. Lin, Ruiyue & Liu, Qian, 2021. "Multiplier dynamic data envelopment analysis based on directional distance function: An application to mutual funds," European Journal of Operational Research, Elsevier, vol. 293(3), pages 1043-1057.
    29. Lin, Ruiyue & Li, Zongxin, 2020. "Directional distance based diversification super-efficiency DEA models for mutual funds," Omega, Elsevier, vol. 97(C).
    30. Louhichi, Awatef & Boujelbene, Younes, 2020. "Credit risk pricing and the rationality of lending decision-making within dual banking systems: A parametric approach," Economic Systems, Elsevier, vol. 44(1).
    31. Kao, Chiang, 2020. "Measuring efficiency in a general production possibility set allowing for negative data," European Journal of Operational Research, Elsevier, vol. 282(3), pages 980-988.

Articles

  1. Kanas, Angelos & Molyneux, Philip & Zervopoulos, Panagiotis D., 2023. "Systemic risk and CO2 emissions in the U.S," Journal of Financial Stability, Elsevier, vol. 64(C).

    Cited by:

    1. Krishnamurthy Baskar Keerthana & Shih-Wei Wu & Mu-En Wu & Thangavelu Kokulnathan, 2023. "The United States Energy Consumption and Carbon Dioxide Emissions: A Comprehensive Forecast Using a Regression Model," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    2. Mangla, Sachin Kumar & Srivastava, Praveen Ranjan & Eachempati, Prajwal & Tiwari, Aviral Kumar, 2024. "Exploring the impact of key performance factors on energy markets: From energy risk management perspectives," Energy Economics, Elsevier, vol. 131(C).
    3. Angelidis, Timotheos & Sakkas, Athanasios & Spiliotopoulos, George, 2023. "Climate uncertainty and marginal climate capital needs," Finance Research Letters, Elsevier, vol. 56(C).
    4. Li, Xingwei & Huang, Yicheng, 2024. "Exploring the mechanisms affecting energy consumption in the construction industry using an integrated theoretical framework: Evidence from the Yangtze River economic Belt," Energy, Elsevier, vol. 299(C).

  2. Hussein A. Hassan Al Tamimi & Andi Duqi & Angelos Kanas & Panagiotis D. Zervopoulos, 2022. "Directional distance function DEA estimators for evaluating efficiency gains from possible mergers and acquisitions," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 73(6), pages 1240-1257, June.

    Cited by:

    1. Li, Hui & Wu, Dongdong, 2024. "Online investor attention and firm restructuring performance: Insights from an event-based DEA-Tobit model," Omega, Elsevier, vol. 122(C).

  3. Angelos Kanas & Panagiotis D. Zervopoulos, 2021. "Systemic risk, real GDP growth, and sentiment," Review of Quantitative Finance and Accounting, Springer, vol. 57(2), pages 461-485, August.

    Cited by:

    1. Rizwan, Muhammad Suhail, 2021. "Macroprudential regulations and systemic risk: Does the one-size-fits-all approach work?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    2. Pacelli, Vincenzo & Miglietta, Federica & Foglia, Matteo, 2022. "The extreme risk connectedness of the new financial system: European evidence," International Review of Financial Analysis, Elsevier, vol. 84(C).

  4. Panagiotis Mitropoulos & Panagiotis D. Zervopoulos & Ioannis Mitropoulos, 2020. "Measuring performance in the presence of noisy data with targeted desirable levels: evidence from healthcare units," Annals of Operations Research, Springer, vol. 294(1), pages 537-566, November.

    Cited by:

    1. Panagiotis Mitropoulos & Alexandros Mitropoulos, 2023. "Evaluating efficiency and technology gaps of the national systems of entrepreneurship using stochastic DEA and club convergence," Operational Research, Springer, vol. 23(1), pages 1-28, March.
    2. Mohit Goswami & Yash Daultani & Sanjoy Kumar Paul & Saurabh Pratap, 2023. "A framework for the estimation of treatment costs of cardiovascular conditions in the presence of disease transition," Annals of Operations Research, Springer, vol. 328(1), pages 577-616, September.

  5. Angelos Kanas & Panagiotis D. Zervopoulos, 2020. "Systemic risk-shifting in U.S. commercial banking," Review of Quantitative Finance and Accounting, Springer, vol. 54(2), pages 517-539, February.

    Cited by:

    1. Yuhao Liu & Petar M. Djurić & Young Shin Kim & Svetlozar T. Rachev & James Glimm, 2021. "Systemic Risk Modeling with Lévy Copulas," JRFM, MDPI, vol. 14(6), pages 1-20, June.
    2. Angelos Kanas & Panagiotis D. Zervopoulos, 2021. "Systemic risk, real GDP growth, and sentiment," Review of Quantitative Finance and Accounting, Springer, vol. 57(2), pages 461-485, August.

  6. Panagiotis D. Zervopoulos & Sokratis Sklavos & Angelos Kanas & Gang Cheng, 2019. "A multi-parametric method for bias correction of DEA efficiency estimators," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(4), pages 655-674, April.

    Cited by:

    1. Chiang Kao & Shiang-Tai Liu, 2022. "Stochastic efficiencies of network production systems with correlated stochastic data: the case of Taiwanese commercial banks," Annals of Operations Research, Springer, vol. 315(2), pages 1151-1174, August.
    2. Pankaj Dutta & Aayush Jain & Asish Gupta, 2020. "Performance analysis of non-banking finance companies using two-stage data envelopment analysis," Annals of Operations Research, Springer, vol. 295(1), pages 91-116, December.

  7. Kounetas, Konstantinos & Zervopoulos, Panagiotis D., 2019. "A cross-country evaluation of environmental performance: Is there a convergence-divergence pattern in technology gaps?," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1136-1148.

    Cited by:

    1. Nikos Chatzistamoulou & Phoebe Koundouri, 2020. "Environmental Efficiency, Productive Performance and Spillover Effects under heterogeneous Environmental Awareness Regimes," DEOS Working Papers 2013, Athens University of Economics and Business.
    2. Kounetas, Konstantinos & Stergiou, Eirini, 2019. "Examining eco-efficiency convergence of European Industries.The existence of technological spillovers within a metafrontier framework," MPRA Paper 94286, University Library of Munich, Germany.
    3. Bonasia, Mariangela & Kounetas, Konstantinos & Oreste, Napolitano, 2020. "Assessment of regional productive performance of European health systems under a metatechnology framework," Economic Modelling, Elsevier, vol. 84(C), pages 234-248.
    4. Napolitano, Oreste & Foresti, Pasquale & Kounetas, Konstantinos & Spagnolo, Nicola, 2023. "The impact of energy, renewable and CO2 emissions efficiency on countries’ productivity," Energy Economics, Elsevier, vol. 125(C).
    5. Nikolaos, Chatzistamoulou & Theodoros, Antonakis & Konstantinos, Kounetas, 2020. "Salary cap and National Basketball Association teams' productive performance. A two stage Data Envelopment Analysis approach under a metatechnology framework," MPRA Paper 98811, University Library of Munich, Germany.
    6. Nikos Chatzistamoulou & Kounetas Kostas & Antonakis Theodor, 2022. "Salary Cap, Organizational Gap, and Catch-up in the Performance of NBA Teams: A Two-Stage DEA Model Under Heterogeneity," Journal of Sports Economics, , vol. 23(2), pages 123-155, February.
    7. Tsionas, Mike G., 2023. "Clustering and meta-envelopment in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 304(2), pages 763-778.
    8. Kounetas, Konstantinos & Polemis, Michael & Tzeremes, Nickolaos, 2019. "An alternative probabilistic frontier analysis to the measurement of eco-efficiency," MPRA Paper 93686, University Library of Munich, Germany.
    9. Tsionas, Mike G., 2019. "Transition and limiting distributions when covariates are available," Economics Letters, Elsevier, vol. 183(C), pages 1-1.
    10. Michael L. Polemis & Mike G. Tsionas, 2022. "Endogenous productivity: a new Bayesian perspective," Annals of Operations Research, Springer, vol. 318(1), pages 425-451, November.
    11. Ryo Ishida & Mika Goto, 2024. "Integrated Efficiency of Japan’s 47 Prefectures Incorporating Sustainability Factors," Energies, MDPI, vol. 17(8), pages 1-21, April.
    12. Tsionas, Mike G., 2020. "On a model of environmental performance and technology gaps," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1141-1152.
    13. Kounetas, Konstantinos E. & Polemis, Michael L. & Tzeremes, Nickolaos G., 2021. "Measurement of eco-efficiency and convergence: Evidence from a non-parametric frontier analysis," European Journal of Operational Research, Elsevier, vol. 291(1), pages 365-378.

  8. Zervopoulos, Panagiotis D. & Brisimi, Theodora S. & Emrouznejad, Ali & Cheng, Gang, 2016. "Performance measurement with multiple interrelated variables and threshold target levels: Evidence from retail firms in the US," European Journal of Operational Research, Elsevier, vol. 250(1), pages 262-272.

    Cited by:

    1. Costa Melo, Isotilia & Alves Junior, Paulo Nocera & Callefi, Jéssica Syrio & da Silva, Karoline Arguelho & Nagano, Marcelo Seido & Rebelatto, Daisy Aparecida do Nascimento & Rentizelas, Athanasios, 2023. "Measuring the performance of retailers during the COVID-19 pandemic: Embedding optimal control theory principles in a dynamic data envelopment analysis approach," Operations Research Perspectives, Elsevier, vol. 10(C).
    2. Tao Du, 2017. "Performance Measurement of Healthcare Service and Association Discussion between Quality and Efficiency: Evidence from 31 Provinces of Mainland China," Sustainability, MDPI, vol. 10(1), pages 1-19, December.
    3. Panagiotis Mitropoulos & Panagiotis D. Zervopoulos & Ioannis Mitropoulos, 2020. "Measuring performance in the presence of noisy data with targeted desirable levels: evidence from healthcare units," Annals of Operations Research, Springer, vol. 294(1), pages 537-566, November.
    4. Youchao Tan & Yang Zhang & Roohollah Khodaverdi, 2017. "Service performance evaluation using data envelopment analysis and balance scorecard approach: an application to automotive industry," Annals of Operations Research, Springer, vol. 248(1), pages 449-470, January.

  9. Cheng, Gang & Zervopoulos, Panagiotis D., 2014. "Estimating the technical efficiency of health care systems: A cross-country comparison using the directional distance function," European Journal of Operational Research, Elsevier, vol. 238(3), pages 899-910.

    Cited by:

    1. Zaim, Osman & Uygurtürk Gazel, Tuğçe & Akkemik, K. Ali, 2017. "Measuring energy intensity in Japan: A new method," European Journal of Operational Research, Elsevier, vol. 258(2), pages 778-789.
    2. D’Inverno, Giovanna & Carosi, Laura & Romano, Giulia & Guerrini, Andrea, 2018. "Water pollution in wastewater treatment plants: An efficiency analysis with undesirable output," European Journal of Operational Research, Elsevier, vol. 269(1), pages 24-34.
    3. Yaisawarng, Suthathip & Ng, Ying Chu, 2014. "The impact of higher education reform on research performance of Chinese universities," China Economic Review, Elsevier, vol. 31(C), pages 94-105.
    4. Robert John Kolesar & Peter Bogetoft & Vanara Chea & Guido Erreygers & Sambo Pheakdey, 2022. "Advancing universal health coverage in the COVID-19 era: an assessment of public health services technical efficiency and applied cost allocation in Cambodia," Health Economics Review, Springer, vol. 12(1), pages 1-20, December.
    5. Ozbugday, Fatih Cemil & Tirgil, Abdullah & Kose, Elif Gul, 2020. "Efficiency changes in long-term care in OECD countries: A non-parametric Malmquist Index approach," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    6. Streimikis, Justas & Yu, Zhiqian & Zhu, Ning & Baležentis, Tomas, 2022. "Achievements of the European Union member states toward the development of sustainable agriculture: A contribution to the structural efficiency approach," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    7. Chong Peng & Jingjing Zhang & Zhenyu Xu, 2022. "Does Price Distortion Affect Energy Efficiency? Evidence from Dynamic Spatial Analytics of China," Energies, MDPI, vol. 15(24), pages 1-15, December.
    8. Marinko Škare & Danijela Rabar, 2016. "Measuring Economic Growth Using Data Envelopment Analysis," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 18(42), pages 386-386, May.
    9. Arabmaldar, A. & Sahoo, B.K. & Ghiyasi, M., 2023. "A generalized robust data envelopment analysis model based on directional distance function," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 138962, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    10. Monica Giancotti & Annamaria Guglielmo & Marianna Mauro, 2017. "Efficiency and optimal size of hospitals: Results of a systematic search," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-40, March.
    11. Calogero Guccio & Domenico Lisi & Marco Ferdinando Martorana & Giacomo Pignataro, 2020. "Incorporating quality in the efficiency assessment of hospitals using a generalized directional distance function approach," Working papers 96, Società Italiana di Economia Pubblica.
    12. Wang, Derek D. & Ren, Yaoyao, 2024. "Accuracy of Deterministic Nonparametric Frontier Models with Undesirable Outputs," European Journal of Operational Research, Elsevier, vol. 315(2), pages 596-612.
    13. Justyna Kujawska, 2021. "Health System Efficiency in European Countries: Network Data Envelopment Analysis Approach," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 1095-1117.
    14. Bonasia, Mariangela & Kounetas, Konstantinos & Oreste, Napolitano, 2020. "Assessment of regional productive performance of European health systems under a metatechnology framework," Economic Modelling, Elsevier, vol. 84(C), pages 234-248.
    15. Panagiotis Mitropoulos, 2021. "Production and quality performance of healthcare services in EU countries during the economic crisis," Operational Research, Springer, vol. 21(2), pages 857-873, June.
    16. Kounetas, Kostas & Zervopoulos, Panagiotis, 2017. "Annex I and non-Annex I countries’productive performance revisited using a generalized directional distance function under a metafrontier framework: Is there any convergence-divergence pattern for tec," MPRA Paper 80904, University Library of Munich, Germany.
    17. Gulati, Rachita, 2022. "Global and local banking crises and risk-adjusted efficiency of Indian banks: Are the impacts really perspective-dependent?," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 23-39.
    18. Vardanyan, Michael & Valdmanis, Vivian G. & Leleu, Hervé & Ferrier, Gary D., 2022. "Estimating technology characteristics of the U.S. hospital industry using directional distance functions with optimal directions," Omega, Elsevier, vol. 113(C).
    19. Bampatsou, Christina & Halkos, George, 2019. "Economic growth, efficiency and environmental elasticity for the G7 countries," Energy Policy, Elsevier, vol. 130(C), pages 355-360.
    20. Halkos, George & Petrou, Kleoniki Natalia, 2018. "A critical review of the main methods to treat undesirable outputs in DEA," MPRA Paper 90374, University Library of Munich, Germany.
    21. Jin-Li Hu & Min-Yueh Chuang & Shang-Ho Yeh, 2023. "A Dynamic DEA Analysis of Health Output Efficiencies of Cities and Counties in Taiwan," IJERPH, MDPI, vol. 20(6), pages 1-12, March.
    22. Stéphane Mussard & María Noel Pi Alperin, 2020. "Accounting for risk factors on health outcomes: The case of Luxembourg," Post-Print hal-02963368, HAL.
    23. Tao, Xueping & Wang, Ping & Zhu, Bangzhu, 2016. "Provincial green economic efficiency of China: A non-separable input–output SBM approach," Applied Energy, Elsevier, vol. 171(C), pages 58-66.
    24. Zervopoulos, Panagiotis D. & Brisimi, Theodora S. & Emrouznejad, Ali & Cheng, Gang, 2016. "Performance measurement with multiple interrelated variables and threshold target levels: Evidence from retail firms in the US," European Journal of Operational Research, Elsevier, vol. 250(1), pages 262-272.
    25. Tsionas, Mike G., 2020. "On a model of environmental performance and technology gaps," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1141-1152.
    26. Muñuzuri, Jesús & Muñoz-Díaz, María-Luisa, 2019. "Use of DEA to identify urban geographical zones with special difficulty for freight deliveries," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    27. Pan, Yinghao & Zhang, Chao-Chao & Lee, Chien-Chiang & Lv, Suxiang, 2024. "Environmental performance evaluation of electric enterprises during a power crisis: Evidence from DEA methods and AI prediction algorithms," Energy Economics, Elsevier, vol. 130(C).
    28. García-Alonso, Carlos R. & Salvador-Carulla, Luis & Fernández-Rodríguez, Vicente, 2015. "Evaluation of system efficiency using the Monte Carlo DEA: The case of small health areasAuthor-Name: Torres-Jiménez, Mercedes," European Journal of Operational Research, Elsevier, vol. 242(2), pages 525-535.
    29. Zhou, Yi & Zhou, Wenji & Wei, Chu, 2023. "Environmental performance of the Chinese cement enterprise: An empirical analysis using a text-based directional vector," Energy Economics, Elsevier, vol. 125(C).
    30. Panagiotis Mitropoulos & Panagiotis D. Zervopoulos & Ioannis Mitropoulos, 2020. "Measuring performance in the presence of noisy data with targeted desirable levels: evidence from healthcare units," Annals of Operations Research, Springer, vol. 294(1), pages 537-566, November.
    31. Falavigna, G. & Ippoliti, R., 2020. "The socio-economic planning of a community nurses programme in mountain areas: A Directional Distance Function approach," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    32. Halkos, George & Petrou, Kleoniki Natalia, 2019. "Treating undesirable outputs in DEA: A critical review," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 97-104.
    33. lo Storto, Corrado, 2024. "Measuring the eco-efficiency of municipal solid waste service: A fuzzy DEA model for handling missing data," Utilities Policy, Elsevier, vol. 86(C).
    34. Jia-Pei Yue & Fu-Qin Zhang, 2022. "Evaluation of Industrial Green Transformation in the Process of Urbanization: Regional Difference Analysis in China," Sustainability, MDPI, vol. 14(7), pages 1-15, April.
    35. Amado, Carla A.F. & São José, José M.S. & Santos, Sérgio P., 2016. "Measuring active ageing: A Data Envelopment Analysis approach," European Journal of Operational Research, Elsevier, vol. 255(1), pages 207-223.
    36. Zhang, Bin & Lu, Danting & He, Yan & Chiu, Yung-ho, 2018. "The efficiencies of resource-saving and environment: A case study based on Chinese cities," Energy, Elsevier, vol. 150(C), pages 493-507.
    37. Timo Kuosmanen & Yong Tan & Sheng Dai, 2023. "Performance analysis of English hospitals during the first and second waves of the coronavirus pandemic," Health Care Management Science, Springer, vol. 26(3), pages 447-460, September.
    38. Kounetas, Konstantinos & Zervopoulos, Panagiotis D., 2019. "A cross-country evaluation of environmental performance: Is there a convergence-divergence pattern in technology gaps?," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1136-1148.

  10. Cheng, Gang & Zervopoulos, Panagiotis & Qian, Zhenhua, 2013. "A variant of radial measure capable of dealing with negative inputs and outputs in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 225(1), pages 100-105.
    See citations under working paper version above.
  11. Brissimis, Sophocles N. & Zervopoulos, Panagiotis D., 2012. "Developing a step-by-step effectiveness assessment model for customer-oriented service organizations," European Journal of Operational Research, Elsevier, vol. 223(1), pages 226-233.
    See citations under working paper version above.

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 15 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-EFF: Efficiency and Productivity (14) 2011-05-14 2011-05-14 2011-05-30 2011-06-11 2011-07-13 2012-06-13 2012-10-13 2012-10-27 2012-10-27 2014-03-15 2016-03-10 2016-03-17 2017-08-27 2019-02-11. Author is listed
  2. NEP-ECM: Econometrics (4) 2011-05-30 2012-06-13 2012-10-27 2019-02-11
  3. NEP-MIC: Microeconomics (2) 2011-05-14 2011-05-30
  4. NEP-ENE: Energy Economics (1) 2017-08-27
  5. NEP-ENV: Environmental Economics (1) 2017-08-27
  6. NEP-FOR: Forecasting (1) 2011-05-14
  7. NEP-HRM: Human Capital and Human Resource Management (1) 2014-03-15

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