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Evaluation of the efficiency of the local tax administration in Taiwan: Application of a dynamic network data envelopment analysis

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  • Huang, Shwu-Huei
  • Yu, Ming-Miin
  • Huang, Ya-Ling

Abstract

•A modified SBM-DNDEA model for measuring technical efficiency of local tax offices in Taiwan.•The overall efficiency is an endogenously weighted average of period-specific divisional efficiencies.•The results of the dynamic NDEA model differed significantly from the static NDEA model.•The tax offices in remote or rural counties are the ones most in need of efficiency improvements.

Suggested Citation

  • Huang, Shwu-Huei & Yu, Ming-Miin & Huang, Ya-Ling, 2022. "Evaluation of the efficiency of the local tax administration in Taiwan: Application of a dynamic network data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
  • Handle: RePEc:eee:soceps:v:83:y:2022:i:c:s0038012122001276
    DOI: 10.1016/j.seps.2022.101337
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    References listed on IDEAS

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    1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    2. Chen, Kaihua & Kou, Mingting & Fu, Xiaolan, 2018. "Evaluation of multi-period regional R&D efficiency: An application of dynamic DEA to China's regional R&D systems," Omega, Elsevier, vol. 74(C), pages 103-114.
    3. Kaoru Tone & Miki Tsutsui, 2014. "Slacks-Based Network DEA," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 231-259, Springer.
    4. Lorenzo Castelli & Raffaele Pesenti & Walter Ukovich, 2010. "A classification of DEA models when the internal structure of the Decision Making Units is considered," Annals of Operations Research, Springer, vol. 173(1), pages 207-235, January.
    5. Boaz Golany & Steven Hackman & Ury Passy, 2006. "An efficiency measurement framework for multi-stage production systems," Annals of Operations Research, Springer, vol. 145(1), pages 51-68, July.
    6. James Alm & Denvil Duncan, 2014. "Estimating Tax Agency Efficiency," Public Budgeting & Finance, Wiley Blackwell, vol. 34(3), pages 92-110, September.
    7. Avkiran, Necmi Kemal, 2015. "An illustration of dynamic network DEA in commercial banking including robustness tests," Omega, Elsevier, vol. 55(C), pages 141-150.
    8. Yasar A. Ozcan & Jaya Khushalani, 2017. "Assessing efficiency of public health and medical care provision in OECD countries after a decade of reform," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(2), pages 325-343, June.
    9. Elena Villar Rubio & Pedro Enrique Barrilao González & Juan Delgado Alaminos, 2017. "Relative efficiency within a tax administration: The effects of result improvement," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 9(1), pages 135-149, February.
    10. Hirofumi Fukuyama & William Weber, 2015. "Measuring Japanese bank performance: a dynamic network DEA approach," Journal of Productivity Analysis, Springer, vol. 44(3), pages 249-264, December.
    11. Førsund, Finn R & Kittelsen, Sverre A.C. & Lindseth, Fode & Fjeld Edvaedsen, Dag, 2006. "The Tax Man Cometh - but is he Efficient?," National Institute Economic Review, National Institute of Economic and Social Research, vol. 197, pages 106-119, July.
    12. José Manuel Cordero & Carlos Díaz Caro & Francisco Pedraja Chaparro & Cristina Polo Fernández, 2020. "Tributos cedidos y eficiencia en la gestión tributaria de las Comunidades Autónomas," Hacienda Pública Española / Review of Public Economics, IEF, vol. 232(1), pages 75-112, March.
    13. Xiong, Xi & Yang, Guo-liang & Guan, Zhong-cheng, 2018. "Assessing R&D efficiency using a two-stage dynamic DEA model: A case study of research institutes in the Chinese Academy of Sciences," Journal of Informetrics, Elsevier, vol. 12(3), pages 784-805.
    14. Wanke, Peter & Azad, Md. Abul Kalam & Barros, Carlos Pestana, 2016. "Financial distress and the Malaysian dual baking system: A dynamic slacks approach," Journal of Banking & Finance, Elsevier, vol. 66(C), pages 1-18.
    15. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    16. Colin Thirtle & Bhavani Shankar & Puneet Chitkara & Somnath Chatterjee & Madhu S. Mohanty, 2000. "Size Does Matter: Technical and Scale Efficiency in Indian State Tax Jurisdictions," Review of Development Economics, Wiley Blackwell, vol. 4(3), pages 340-352, October.
    17. C.P. Barros, 2006. "Measuring Total Productivity in Lisbon Tax Offices with a Malmquist Index," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(1), pages 25-46.
    18. A. Charnes & W. W. Cooper, 1962. "Programming with linear fractional functionals," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 9(3‐4), pages 181-186, September.
    19. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    20. Belmonte-Martin, Irene & Ortiz, Lidia & Polo, Cristina, 2021. "Local tax management in Spain: A study of the conditional efficiency of provincial tax agencies," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    21. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    22. Shwu-Huei Huang & Ming-Miin Yu & Ming-Shenq Hwang & Yu-Shan Wei & Ming-Huei Chen, 2017. "Efficiency of Tax Collection and Tax Management in Taiwan's Local Tax Offices," Pacific Economic Review, Wiley Blackwell, vol. 22(4), pages 620-648, October.
    23. Yu, Ming-Miin & Chen, Li-Hsueh & Chiang, Hui, 2017. "The effects of alliances and size on airlines’ dynamic operational performance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 197-214.
    24. Thirtle, Colin, et al, 2000. "Size Does Matter: Technical and Scale Efficiency in Indian State Tax Jurisdictions," Review of Development Economics, Wiley Blackwell, vol. 4(3), pages 340-352, October.
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