Performance analytics in incentive regulation: A literature review of DEA publications

Dyson, 2001, Pitfalls and protocols in DEA, European J. Oper. Res., 132, 245, 10.1016/S0377-2217(00)00149-1 Olesen, 2016, Stochastic Data Envelopment Analysis – A review, European J. Oper. Res., 251, 2, 10.1016/j.ejor.2015.07.058 Afsharian, 2017, Metafrontier efficiency analysis with convex and non-convex metatechnologies by stochastic nonparametric envelopment of data, Econom. Lett., 160, 1, 10.1016/j.econlet.2017.08.006 Thanassoulis, 2001 Cooper, 2007 Farrell, 1957, The measurement of productivity efficiency, J. Roy. Statist. Soc., 120, 253, 10.2307/2343100 Charnes, 1978, Measuring the efficiency of the decision making units, European J. Oper. Res., 2, 429, 10.1016/0377-2217(78)90138-8 Banker, 1984, Some models for estimating technical and scale inefficiencies in Data Envelopment Analysis, Manage. Sci., 30, 1078, 10.1287/mnsc.30.9.1078 Bogetoft, 2013 Boloori, 2016, Equivalent multiplier and envelopment DEA models for measuring efficiency under general network structures, Measurement, 80, 259, 10.1016/j.measurement.2015.11.012 Afsharian, 2014, The luenberger indicator and directions of measurement: A bottoms-up approach with an empirical illustration to german savings banks, Int. J. Prod. Res., 52, 6216, 10.1080/00207543.2014.922712 Le, 2021, Inverse frontier-based benchmarking for investigating the efficiency and achieving the targets in the Vietnamese education system, Omega, 103, 10.1016/j.omega.2021.102427 Atici, 2015, Using Data Envelopment Analysis for the assessment of technical efficiency of units with different specialisations: an application to agriculture, Omega, 54, 72, 10.1016/j.omega.2015.01.015 Avkiran, 2015, An illustration of dynamic network DEA in commercial banking including robustness tests, Omega, 55, 141, 10.1016/j.omega.2014.07.002 Thanassoulis, 2011, Costs and efficiency of higher education institutions in England: A DEA analysis, J. Oper. Res. Soc., 62, 1282, 10.1057/jors.2010.68 Agrell, 2005, DEA and dynamic yardstick competition in scandinavian electricity distribution, J. Prod. Anal., 23, 173, 10.1007/s11123-005-1327-6 Giokas, 2008, Efficiency ranking of the OECD member states in the area of telecommunications: A composite AHP/DEA study, Telecommun. Policy, 32, 672, 10.1016/j.telpol.2008.07.007 Assaf, 2011, Modelling the performance of Australian hotels: a DEA double bootstrap approach, Tourism Economics, 17, 73, 10.5367/te.2011.0027 Chang, 2013, Environmental efficiency analysis of transportation system in China: a non-radial DEA approach, Energy Policy, 58, 277, 10.1016/j.enpol.2013.03.011 Zhu, 2022, DEA under big data: data enabled analytics and network Data Envelopment Analysis, Ann. Oper. Res., 309, 761, 10.1007/s10479-020-03668-8 Liu, 2013, A survey of DEA applications, Omega, 41, 893, 10.1016/j.omega.2012.11.004 Emrouznejad, 2018, A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016, Socio-Econ. Plan. Sci., 61, 4, 10.1016/j.seps.2017.01.008 Ahn, 2018, Recent developments on the use of DEA in the public sector, Socio-Econ. Plan. Sci., 61, 1, 10.1016/j.seps.2017.06.001 Thanassoulis, 2020, International conference on Data Envelopment Analysis – DEA40, 16-18 2018, Ann. Oper. Res., 288, 1, 10.1007/s10479-020-03564-1 Agrell, 2002, Incentive plans for productive efficiency, innovation and learning, Int. J. Prod. Econ., 78, 1, 10.1016/S0925-5273(00)00097-9 Afsharian, 2020, Identifying production units with outstanding performance, European J. Oper. Res., 287, 1191, 10.1016/j.ejor.2020.04.027 Bogetoft, 1997, Dea-based yardstick competition: the optimality of best practice regulation, Ann. Oper. Res., 73, 277, 10.1023/A:1018985313272 Afsharian, 2017, A DEA-based incentives system for centrally managed multi-unit organisations, European J. Oper. Res., 259, 587, 10.1016/j.ejor.2016.10.040 Førsund, 1998, Productivity development of norwegian electricity distribution utilities, Resour. Energy Econ., 20, 207, 10.1016/S0928-7655(97)00028-6 Thanassoulis, 2000, The use of Data Envelopment Analysis in the regulation of UK water utilities: water distribution, European J. Oper. Res., 126, 436, 10.1016/S0377-2217(99)00303-3 Thanassoulis, 2000, DEA and its use in the regulation of water companies, European J. Oper. Res., 127, 1, 10.1016/S0377-2217(99)00436-1 Agrell, 2001, Should health regulators use DEA? Coordinacion e incentivos en sanidad, Asociasion Economia Salud, Barcelona, 13, 3 Hawdon, 2003, Efficiency, performance and regulation of the international gas industry: A bootstrap DEA approach, Energy Policy, 31, 1167, 10.1016/S0301-4215(02)00218-5 Varmaz, 2013, Centralized resource planning and yardstick competition, Omega, 41, 112, 10.1016/j.omega.2011.10.005 Afsharian, 2019, A frontier-based system of incentives for units in organisations with varying degrees of decentralisation, European J. Oper. Res., 275, 224, 10.1016/j.ejor.2018.11.036 Afsharian, 2020, A metafrontier-based yardstick competition mechanism for incentivising units in centrally managed multi-group organisations, Ann. Oper. Res., 288, 681, 10.1007/s10479-019-03201-6 Bogetoft, 1994, Incentive efficient production frontiers: An agency perspective on DEA, Manage. Sci., 40, 959, 10.1287/mnsc.40.8.959 Bogetoft, 1995, Incentives and productivity measurements, Int. J. Prod. Econ., 39, 67, 10.1016/0925-5273(94)00062-F Jamasb, 2000, Benchmarking and regulation: international electricity experience, Util. Policy, 9, 107, 10.1016/S0957-1787(01)00010-8 Jamasb, 2003, International benchmarking and regulation: An application to European electricity distribution utilities, Energy Policy, 31, 1609, 10.1016/S0301-4215(02)00226-4 Giannakis, 2005, Benchmarking and incentive regulation of quality of service: An application to the UK electricity distribution networks, Energy Policy, 33, 2256, 10.1016/j.enpol.2004.04.021 Tupper, 2004, Efficiency and regulatory issues in the Brazilian water and sewage sector: An empirical study, Util. Policy, 12, 29, 10.1016/j.jup.2003.11.001 Kuosmanen, 2012, Stochastic semi-nonparametric frontier estimation of electricity distribution networks: Application of the StoNED method in the Finnish regulatory model, Energy Econ., 34, 2189, 10.1016/j.eneco.2012.03.005 Estache, 2004, The case for international coordination of electricity regulation: evidence from the measurement of efficiency in South America, J. Regul. Econ., 25, 271, 10.1023/B:REGE.0000017750.21982.36 Kuosmanen, 2013, What is the best practice for benchmark regulation of electricity distribution? Comparison of DEA, SFA and StoNED methods, Energy Policy, 61, 740, 10.1016/j.enpol.2013.05.091 Resende, 2002, Relative efficiency measurement and prospects for yardstick competition in Brazilian electricity distribution, Energy Policy, 30, 637, 10.1016/S0301-4215(01)00132-X Afsharian, 2022