How to cite this paper
Farantos, G & Koutsoukis, N. (2022). Greek health system efficiency and productivity: A window DEA and Malmquist method measurement.Journal of Future Sustainability, 2(3), 113-124.
Refrences
Aletras, V., Kontodimopoulos, N., Zagouldoudis, A., & Niakas, D. (2007). The short-term effect on technical and scale efficiency of establishing regional health systems and general management in Greek NHS hospitals. Health Policy. 83(2-3), 236-45.
Allen, R., Athanassopoulos, A., Dyson, R. G., & Thanassoulis, E. (1997). Weights restrictions and value judgements in data envelopment analysis: evolution, development and future directions. Annals of operations research, 73, 13-34.
Assaf, A. & Matawie, K. M. (2010) Improving the accuracy of DEA efficiency analysis: a bootstrap application to the health care foodservice industry. Applied Economics, 42(27), 3547-3558.
Athanassopoulos, A. D., Gounaris, C., & Sissouras, A. (1999). A descriptive assessment of the production and cost effi-ciency of general hospitals in Greece. Health Care Management Science, 2(2), 97-106.
Balamatsis, G., & Chondrocoukis, G. (2010). Measuring the Efficiency of Greek Public Hospitals Compared to Private Hospitals Listed on the Athens Stock Exchange Using Data Envelopment Analysis (DEA). Christchurch, New Zea-land, 11-23.
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.
Bosetti, V., Cassinelli, M., & Lanza, A., 2003. Using data envelopment analysis to evaluate environmentally conscious tourism management. In: International Conference on Tourism and Sustainable Development, CRENoS Cagliari, Sassari University and World Bank, September 19–20, Chia, Sardinia.
Caves, D. W., Christensen, L. R., & Diewert, W. E. (1982). Multilateral comparisons of output, input, and productivity using superlative index numbers. The economic journal, 92(365), 73-86.
Charnes, A., Cooper W. W., & Rhodes. E. (1978). Measuring the Efficiency of Decision Making Units. European Jour-nal of Operational Research 2(6), 429–444.
Charnes, A., Cooper, W. W., Lewin, A. Y., & Seiford, L. M. (Eds.). (2013). Data envelopment analysis: Theory, meth-odology, and applications. Springer Science & Business Media.
Charnes, A., Cooper, W. W. & Seiford, L. M. (1994). Extension to DEA Models. In A. Charnes,
W. W. Cooper, A. Y. Lewin & L. M. Seiford (eds.). Data Envelopment Analysis: Theory, Methodology and Applica-tions. Kluwer Academic Publishers.
Cheng, Z., Cai, M., Tao, H., He, Z., Lin, X., Lin, H., & Zuo, Y. (2016). Efficiency and productivity measurement of rural township hospitals in China: a bootstrapping data envelopment analysis. BMJ open, 6(11), e011911.
Coelli, T., J. (1996). A guide to DEAP version 2.1: A Data Envelopment Analysis (Computer) Program, CEPA Working Papers, Armidale: University of New England.
Cooper, W. W., Seiford, L. M., & Tone, K. (2007). Data envelopment analysis: a comprehensive text with models, ap-plications, references and DEA-solver software (Vol. 2). New York: Springer.
Cordero, J. M., Pedraja, F., & Santín, D. (2009). Alternative approaches to include exogenous variables in DEA measures: A comparison using Monte Carlo. Computers & Operations Research, 36(10), 2699-2706.
De Castro Lobo, M. S., Ozcan, Y. A., da Silva, A. C., Lins, M. P. E., & Fiszman, R. (2010). Financing reform and productivity change in Brazilian teaching hospitals: Malmquist approach. Central European Journal of Operations Research, 18(2), 141-152.
Dimas, G., Goula, A., & Soulis, S. (2012). Productive performance and its components in Greek public hospi-tals. Operational Research, 12(1), 15-27.
Du, J., Wang, J., Chen, Y., Chou, S. Y., & Zhu, J. (2014). Incorporating health outcomes in Pennsylvania hospital effi-ciency: an additive super-efficiency DEA approach. Annals of Operations Research, 221(1), 161-172.
Egilmez, G., & McAvoy, D. (2013). Benchmarking road safety of US states: A DEA-based Malmquist productivity in-dex approach. Accident Analysis & Prevention, 53, 55-64.
Färe, R., Grosskopf, S., Lindgren, B., & Roos, P. (1992). Productivity changes in Swedish pharmacies 1980-1989: A non-parametric Malmquist approach. Journal of Productivity Analysis, 3, 85-101.
Fare, R., Grosskopf, S., Norris, M., & Zhang, Z. (1994). Productivity growth, technical progress, and efficiency change in industrialized countries. American Economic Review 84(1), 66–83.
Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society: Series A (General), 120(3), 253-281.
Førsund, F. R., Edvardsen, D. F., & Kittelsen, S. A. (2015). Productivity of tax offices in Norway. Journal of Productivi-ty Analysis, 43(3), 269-279.
Fragkiadakis, G., Doumpos, M., Zopounidis, C., & Germain, C. (2016). Operational and economic efficiency analysis of public hospitals in Greece. Annals of Operations Research, 247(2), 787-806.
Halkos, G. E., & Tzeremes, N. G. (2011). A conditional nonparametric analysis for measuring the efficiency of regional public healthcare delivery: An application to Greek prefectures. Health policy, 103(1), 73-82.
Hoang, V. N., & Coelli, T. (2011). Measurement of agricultural total factor productivity growth incorporating environ-mental factors: a nutrients balance approach. Journal of Environmental Economics and Management, 62(3), 462-474.
Isik, I., & Hassan, M. K. (2002). Technical, scale and allocative efficiencies of Turkish banking industry. Journal of Banking & Finance, 26(4), 719-766.
Kaitelidou, D., Katharaki, M., Kalogeropoulou, M., Economou, C., Siskou, O., Souliotis, K., ... & Liaropoulos, L. (2016). The impact of economic crisis to hospital sector and the efficiency of Greek public hospitals. EJBSS, 4, 111-25.
Katharaki, M. (2008). Approaching the management of hospital units with an operation research technique: The case of 32 Greek obstetric and gynaecology public units. Health Policy, 85(1), 19-31.
Kazley, A. S., & Ozcan, Y. A. (2009). Electronic medical record use and efficiency: A DEA and windows analysis of hospitals. Socio-Economic Planning Sciences, 43(3), 209-216.
Kontodimopoulos, N., Nanos, P., & Niakas, D. (2006). Balancing efficiency of health services and equity of access in remote areas in Greece. Health policy, 76(1), 49-57.
Kooreman, P. (1994). Nursing home care in The Netherlands: a nonparametric efficiency analysis. Journal of health economics, 13(3), 301-316.
Kumar, S., & Gulati, R. (2008). An examination of technical, pure technical, and scale efficiencies in Indian public sec-tor banks using data envelopment analysis. Eurasian Journal of Business and Economics, 1(2), 33-69.
Lee, C. C. (2009). Analysis of overall technical efficiency, pure technical efficiency and scale efficiency in the medium-sized audit firms. Expert Systems with Applications, 36(8), 11156-11171.
Mirmozaffari, M., & Alinezhad, A. (2017, October). Window analysis using two-stage DEA in heart hospitals. In 10th International Conference on Innovations in Science, Engineering, Computers and Technology (ISECT-2017) (pp. 44-51).
Miszczynska, K., & Miszczyński, P. M. (2021). Measuring the efficiency of the healthcare sector in Poland–a window-DEA evaluation. International Journal of Productivity and Performance Management 70(3), https://doi.org/10.1108/IJPPM-06-2020-0276.
Mitropoulos, P., Mitropoulos, I., & Giannikos, I. (2013). Combining DEA with location analysis for the effective con-solidation of services in the health sector. Computers & Operations Research, 40(9), 2241-2250.
Mitropoulos, P., Mitropoulos, I., & Sissouras, A. (2013). Managing for efficiency in health care: the case of Greek pub-lic hospitals. The European Journal of Health Economics, 14(6), 929-938.
Mitropoulos, P., Talias, Μ. A., & Mitropoulos, I. (2015). Combining stochastic DEA with Bayesian analysis to obtain statistical properties of the efficiency scores: An application to Greek public hospitals. European Journal of Opera-tional Research, 243(1), 302-311.
Muhammad, A., Rao, T., & Farooq, Q. (2018). DEA Window Analysis with slack-based measure of Efficiency in Indian Cement Industry. Statistics, Optimization & Information Computing, 6(2), 292-302.
Ohe, Y., & Peypoch, N. (2016). Efficiency analysis of Japanese Ryokans: A window DEA approach. Tourism Econom-ics, 22(6), 1261-1273.
Oikonomou, N., Tountas, Y., Mariolis, A., Souliotis, K., Athanasakis, K., & Kyriopoulos, J. (2016). Measuring the effi-ciency of the Greek rural primary health care using a restricted DEA model; the case of southern and western Greece. Health care management science, 19(4), 313-325.
O' Neill, L. & Rauner, M., Heidenberger, K. & Kraus, M. (2008). A cross-national comparison and taxonomy of DEA-based hospital efficiency studies, Socio-Economic Planning Sciences 42(3), 158-189.
Ozcan, Y. A., & Luke, R. D. (2011). Health care delivery restructuring and productivity change: assessing the Veterans Integrated Service Networks (VISNs) using the Malmquist approach. Medical Care Research and Review, 68(1_suppl), 20S-35S.
Pedraja-Chaparro, F., Salinas-Jimenez, J., & Smith, P. (1997). On the role of weight restrictions in data envelopment analysis. Journal of Productivity Analysis, 8(2), 215-230.
Polyzos, N. (2012). A three-year Performance Evaluation of the NHS Hospitals in Greece. Hippokratia, 16(4), 350-55.
Polyzos, S., Niavis, S., & Pnevmatikos, T. (2012). Longitudinal evaluation of Greek regional policies using window data envelopment analysis. MIBES Transactions, 6(1), 53-65.
Pulina, M., Detotto, C., & Paba, A. (2010). An investigation into the relationship between size and efficiency of the Ital-ian hospitality sector: a window DEA approach. European journal of operational research, 204(3), 613-620.
Ray, S. (2004). Data Envelopment Analysis. Cambridge: Cambridge University Press.
Scheel, H. (2000). EMS: Efficiency Measurement System. User’s Manual, Version 1.3, 2.
Seiford, L. M., & Zhu, J. (2002). Modeling undesirable factors in efficiency evaluation. European journal of operation-al research, 142(1), 16-20.
Stefko, R., Gavurova, B., & Kocisova, K. (2018). Healthcare efficiency assessment using DEA analysis in the Slovak Republic. Health economics review, 8(1), 1-12.
Thanassoulis, E. (2001). Introduction to the Theory and Application of Data Envelopment Analysis, A foundation text with integrated software. Massachusetts: Kluwer Academic publishers, 19-23.
Thanassoulis, E., Dyson, R. G., & Foster, M. J. (1987). Relative efficiency assessments using data envelopment analy-sis: an application to data on rates departments. Journal of the Operational Research Society, 38(5), 397-411.
Thomas, J. W., Guire, K. E., & Horvat, G. G. (1997). Is patient length of stay related to quality of care?. Journal of Healthcare Management, 42(4), 489.
Trakakis, A., Nektarios, M., Tziaferi, S., & Prezerakos, P. (2021). Total productivity change of Health Centers in Greece in 2016–2018: a Malmquist index data envelopment analysis application for the primary health system of Greece. Cost Effectiveness and Resource Allocation, 19(1), 1-11.
Tsekouras, K., Papathanassopoulos, F., Kounetas, K., & Pappous, G. (2010). Does the adoption of new technology boost productive efficiency in the public sector? The case of ICUs system. International Journal of Production Economics, 128(1), 427-433.
Xenos, P., Yfantopoulos, J., Nektarios, M., Polyzos, N., Tinios, P., & Constantopoulos, A. (2017). Efficiency and productivity assessment of public hospitals in Greece during the crisis period 2009–2012. Cost Effectiveness and Re-source Allocation, 15(1), 1-12.
Yakob, R., Yusop, Z., Radam, A., & Ismail, N. (2014). Two-stage DEA method in identifying the exogenous factors of insurers’ risk and investment management efficiency. Sains Malaysiana, 43(9), 1439-1450.
Yue, P. (1992). Data envelopment analysis and commercial bank performance: a primer with applications to Missouri banks. IC² Institute Articles.
Allen, R., Athanassopoulos, A., Dyson, R. G., & Thanassoulis, E. (1997). Weights restrictions and value judgements in data envelopment analysis: evolution, development and future directions. Annals of operations research, 73, 13-34.
Assaf, A. & Matawie, K. M. (2010) Improving the accuracy of DEA efficiency analysis: a bootstrap application to the health care foodservice industry. Applied Economics, 42(27), 3547-3558.
Athanassopoulos, A. D., Gounaris, C., & Sissouras, A. (1999). A descriptive assessment of the production and cost effi-ciency of general hospitals in Greece. Health Care Management Science, 2(2), 97-106.
Balamatsis, G., & Chondrocoukis, G. (2010). Measuring the Efficiency of Greek Public Hospitals Compared to Private Hospitals Listed on the Athens Stock Exchange Using Data Envelopment Analysis (DEA). Christchurch, New Zea-land, 11-23.
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.
Bosetti, V., Cassinelli, M., & Lanza, A., 2003. Using data envelopment analysis to evaluate environmentally conscious tourism management. In: International Conference on Tourism and Sustainable Development, CRENoS Cagliari, Sassari University and World Bank, September 19–20, Chia, Sardinia.
Caves, D. W., Christensen, L. R., & Diewert, W. E. (1982). Multilateral comparisons of output, input, and productivity using superlative index numbers. The economic journal, 92(365), 73-86.
Charnes, A., Cooper W. W., & Rhodes. E. (1978). Measuring the Efficiency of Decision Making Units. European Jour-nal of Operational Research 2(6), 429–444.
Charnes, A., Cooper, W. W., Lewin, A. Y., & Seiford, L. M. (Eds.). (2013). Data envelopment analysis: Theory, meth-odology, and applications. Springer Science & Business Media.
Charnes, A., Cooper, W. W. & Seiford, L. M. (1994). Extension to DEA Models. In A. Charnes,
W. W. Cooper, A. Y. Lewin & L. M. Seiford (eds.). Data Envelopment Analysis: Theory, Methodology and Applica-tions. Kluwer Academic Publishers.
Cheng, Z., Cai, M., Tao, H., He, Z., Lin, X., Lin, H., & Zuo, Y. (2016). Efficiency and productivity measurement of rural township hospitals in China: a bootstrapping data envelopment analysis. BMJ open, 6(11), e011911.
Coelli, T., J. (1996). A guide to DEAP version 2.1: A Data Envelopment Analysis (Computer) Program, CEPA Working Papers, Armidale: University of New England.
Cooper, W. W., Seiford, L. M., & Tone, K. (2007). Data envelopment analysis: a comprehensive text with models, ap-plications, references and DEA-solver software (Vol. 2). New York: Springer.
Cordero, J. M., Pedraja, F., & Santín, D. (2009). Alternative approaches to include exogenous variables in DEA measures: A comparison using Monte Carlo. Computers & Operations Research, 36(10), 2699-2706.
De Castro Lobo, M. S., Ozcan, Y. A., da Silva, A. C., Lins, M. P. E., & Fiszman, R. (2010). Financing reform and productivity change in Brazilian teaching hospitals: Malmquist approach. Central European Journal of Operations Research, 18(2), 141-152.
Dimas, G., Goula, A., & Soulis, S. (2012). Productive performance and its components in Greek public hospi-tals. Operational Research, 12(1), 15-27.
Du, J., Wang, J., Chen, Y., Chou, S. Y., & Zhu, J. (2014). Incorporating health outcomes in Pennsylvania hospital effi-ciency: an additive super-efficiency DEA approach. Annals of Operations Research, 221(1), 161-172.
Egilmez, G., & McAvoy, D. (2013). Benchmarking road safety of US states: A DEA-based Malmquist productivity in-dex approach. Accident Analysis & Prevention, 53, 55-64.
Färe, R., Grosskopf, S., Lindgren, B., & Roos, P. (1992). Productivity changes in Swedish pharmacies 1980-1989: A non-parametric Malmquist approach. Journal of Productivity Analysis, 3, 85-101.
Fare, R., Grosskopf, S., Norris, M., & Zhang, Z. (1994). Productivity growth, technical progress, and efficiency change in industrialized countries. American Economic Review 84(1), 66–83.
Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society: Series A (General), 120(3), 253-281.
Førsund, F. R., Edvardsen, D. F., & Kittelsen, S. A. (2015). Productivity of tax offices in Norway. Journal of Productivi-ty Analysis, 43(3), 269-279.
Fragkiadakis, G., Doumpos, M., Zopounidis, C., & Germain, C. (2016). Operational and economic efficiency analysis of public hospitals in Greece. Annals of Operations Research, 247(2), 787-806.
Halkos, G. E., & Tzeremes, N. G. (2011). A conditional nonparametric analysis for measuring the efficiency of regional public healthcare delivery: An application to Greek prefectures. Health policy, 103(1), 73-82.
Hoang, V. N., & Coelli, T. (2011). Measurement of agricultural total factor productivity growth incorporating environ-mental factors: a nutrients balance approach. Journal of Environmental Economics and Management, 62(3), 462-474.
Isik, I., & Hassan, M. K. (2002). Technical, scale and allocative efficiencies of Turkish banking industry. Journal of Banking & Finance, 26(4), 719-766.
Kaitelidou, D., Katharaki, M., Kalogeropoulou, M., Economou, C., Siskou, O., Souliotis, K., ... & Liaropoulos, L. (2016). The impact of economic crisis to hospital sector and the efficiency of Greek public hospitals. EJBSS, 4, 111-25.
Katharaki, M. (2008). Approaching the management of hospital units with an operation research technique: The case of 32 Greek obstetric and gynaecology public units. Health Policy, 85(1), 19-31.
Kazley, A. S., & Ozcan, Y. A. (2009). Electronic medical record use and efficiency: A DEA and windows analysis of hospitals. Socio-Economic Planning Sciences, 43(3), 209-216.
Kontodimopoulos, N., Nanos, P., & Niakas, D. (2006). Balancing efficiency of health services and equity of access in remote areas in Greece. Health policy, 76(1), 49-57.
Kooreman, P. (1994). Nursing home care in The Netherlands: a nonparametric efficiency analysis. Journal of health economics, 13(3), 301-316.
Kumar, S., & Gulati, R. (2008). An examination of technical, pure technical, and scale efficiencies in Indian public sec-tor banks using data envelopment analysis. Eurasian Journal of Business and Economics, 1(2), 33-69.
Lee, C. C. (2009). Analysis of overall technical efficiency, pure technical efficiency and scale efficiency in the medium-sized audit firms. Expert Systems with Applications, 36(8), 11156-11171.
Mirmozaffari, M., & Alinezhad, A. (2017, October). Window analysis using two-stage DEA in heart hospitals. In 10th International Conference on Innovations in Science, Engineering, Computers and Technology (ISECT-2017) (pp. 44-51).
Miszczynska, K., & Miszczyński, P. M. (2021). Measuring the efficiency of the healthcare sector in Poland–a window-DEA evaluation. International Journal of Productivity and Performance Management 70(3), https://doi.org/10.1108/IJPPM-06-2020-0276.
Mitropoulos, P., Mitropoulos, I., & Giannikos, I. (2013). Combining DEA with location analysis for the effective con-solidation of services in the health sector. Computers & Operations Research, 40(9), 2241-2250.
Mitropoulos, P., Mitropoulos, I., & Sissouras, A. (2013). Managing for efficiency in health care: the case of Greek pub-lic hospitals. The European Journal of Health Economics, 14(6), 929-938.
Mitropoulos, P., Talias, Μ. A., & Mitropoulos, I. (2015). Combining stochastic DEA with Bayesian analysis to obtain statistical properties of the efficiency scores: An application to Greek public hospitals. European Journal of Opera-tional Research, 243(1), 302-311.
Muhammad, A., Rao, T., & Farooq, Q. (2018). DEA Window Analysis with slack-based measure of Efficiency in Indian Cement Industry. Statistics, Optimization & Information Computing, 6(2), 292-302.
Ohe, Y., & Peypoch, N. (2016). Efficiency analysis of Japanese Ryokans: A window DEA approach. Tourism Econom-ics, 22(6), 1261-1273.
Oikonomou, N., Tountas, Y., Mariolis, A., Souliotis, K., Athanasakis, K., & Kyriopoulos, J. (2016). Measuring the effi-ciency of the Greek rural primary health care using a restricted DEA model; the case of southern and western Greece. Health care management science, 19(4), 313-325.
O' Neill, L. & Rauner, M., Heidenberger, K. & Kraus, M. (2008). A cross-national comparison and taxonomy of DEA-based hospital efficiency studies, Socio-Economic Planning Sciences 42(3), 158-189.
Ozcan, Y. A., & Luke, R. D. (2011). Health care delivery restructuring and productivity change: assessing the Veterans Integrated Service Networks (VISNs) using the Malmquist approach. Medical Care Research and Review, 68(1_suppl), 20S-35S.
Pedraja-Chaparro, F., Salinas-Jimenez, J., & Smith, P. (1997). On the role of weight restrictions in data envelopment analysis. Journal of Productivity Analysis, 8(2), 215-230.
Polyzos, N. (2012). A three-year Performance Evaluation of the NHS Hospitals in Greece. Hippokratia, 16(4), 350-55.
Polyzos, S., Niavis, S., & Pnevmatikos, T. (2012). Longitudinal evaluation of Greek regional policies using window data envelopment analysis. MIBES Transactions, 6(1), 53-65.
Pulina, M., Detotto, C., & Paba, A. (2010). An investigation into the relationship between size and efficiency of the Ital-ian hospitality sector: a window DEA approach. European journal of operational research, 204(3), 613-620.
Ray, S. (2004). Data Envelopment Analysis. Cambridge: Cambridge University Press.
Scheel, H. (2000). EMS: Efficiency Measurement System. User’s Manual, Version 1.3, 2.
Seiford, L. M., & Zhu, J. (2002). Modeling undesirable factors in efficiency evaluation. European journal of operation-al research, 142(1), 16-20.
Stefko, R., Gavurova, B., & Kocisova, K. (2018). Healthcare efficiency assessment using DEA analysis in the Slovak Republic. Health economics review, 8(1), 1-12.
Thanassoulis, E. (2001). Introduction to the Theory and Application of Data Envelopment Analysis, A foundation text with integrated software. Massachusetts: Kluwer Academic publishers, 19-23.
Thanassoulis, E., Dyson, R. G., & Foster, M. J. (1987). Relative efficiency assessments using data envelopment analy-sis: an application to data on rates departments. Journal of the Operational Research Society, 38(5), 397-411.
Thomas, J. W., Guire, K. E., & Horvat, G. G. (1997). Is patient length of stay related to quality of care?. Journal of Healthcare Management, 42(4), 489.
Trakakis, A., Nektarios, M., Tziaferi, S., & Prezerakos, P. (2021). Total productivity change of Health Centers in Greece in 2016–2018: a Malmquist index data envelopment analysis application for the primary health system of Greece. Cost Effectiveness and Resource Allocation, 19(1), 1-11.
Tsekouras, K., Papathanassopoulos, F., Kounetas, K., & Pappous, G. (2010). Does the adoption of new technology boost productive efficiency in the public sector? The case of ICUs system. International Journal of Production Economics, 128(1), 427-433.
Xenos, P., Yfantopoulos, J., Nektarios, M., Polyzos, N., Tinios, P., & Constantopoulos, A. (2017). Efficiency and productivity assessment of public hospitals in Greece during the crisis period 2009–2012. Cost Effectiveness and Re-source Allocation, 15(1), 1-12.
Yakob, R., Yusop, Z., Radam, A., & Ismail, N. (2014). Two-stage DEA method in identifying the exogenous factors of insurers’ risk and investment management efficiency. Sains Malaysiana, 43(9), 1439-1450.
Yue, P. (1992). Data envelopment analysis and commercial bank performance: a primer with applications to Missouri banks. IC² Institute Articles.