IDEAS home Printed from https://ideas.repec.org/r/eee/ejores/v226y2013i3p507-515.html
   My bibliography  Save this item

Network DEA pitfalls: Divisional efficiency and frontier projection under general network structures

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Mirdehghan, S. Morteza & Fukuyama, Hirofumi, 2016. "Pareto–Koopmans efficiency and network DEA," Omega, Elsevier, vol. 61(C), pages 78-88.
  2. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
  3. Qingyou Yan & Fei Zhao & Xu Wang & Guoliang Yang & Tomas Baležentis & Dalia Streimikiene, 2019. "The network data envelopment analysis models for non-homogenous decision making units based on the sun network structure," 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. 27(4), pages 1221-1244, December.
  4. Lim, Sungmook & Zhu, Joe, 2016. "A note on two-stage network DEA model: Frontier projection and duality," European Journal of Operational Research, Elsevier, vol. 248(1), pages 342-346.
  5. Toloo, Mehdi & Mensah, Emmanuel Kwasi & Salahi, Maziar, 2022. "Robust optimization and its duality in data envelopment analysis," Omega, Elsevier, vol. 108(C).
  6. Liu, Yong & Liu, Zhi-yang & Li, Jian, 2020. "Research on efficiency and differences of regional industry-university-research synergetic innovation in China," Technology in Society, Elsevier, vol. 63(C).
  7. Chu, Junfei & Zhu, Joe, 2021. "Production scale-based two-stage network data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 294(1), pages 283-294.
  8. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min, 2016. "Research fronts in data envelopment analysis," Omega, Elsevier, vol. 58(C), pages 33-45.
  9. Linyan Zhang & Chunhao Xu & Jian Zhang & Bingyin Lei & Anke Xie & Ning Shen & Yujie Li & Kaiye Gao, 2024. "An Innovative Double-Frontier Approach to Measure Sustainability Efficiency Based on an Energy Use and Operations Management Perspective," Energies, MDPI, vol. 17(16), pages 1-21, August.
  10. Lee, Hsuan-Shih, 2021. "Efficiency decomposition of the network DEA in variable returns to scale: An additive dissection in losses," Omega, Elsevier, vol. 100(C).
  11. Chen, Chih Cheng, 2017. "Measuring departmental and overall regional performance: applying the multi-activity DEA model to Taiwan׳s cities/counties," Omega, Elsevier, vol. 67(C), pages 60-80.
  12. Reza Feizabadi & Mehri Bagherian, 2023. "Identifying the Influential Factors in Increasing the Efficiency of Network Systems: A Mixed Binary Linear Programming," SN Operations Research Forum, Springer, vol. 4(4), pages 1-14, December.
  13. Li, Xiang, 2017. "A fair evaluation of certain stage in a two-stage structure: revisiting the typical two-stage DEA approaches," Omega, Elsevier, vol. 68(C), pages 155-167.
  14. Antonio Peyrache & Maria C. A. Silva, 2022. "Efficiency and Productivity Analysis from a System Perspective: Historical Overview," Springer Books, in: Duangkamon Chotikapanich & Alicia N. Rambaldi & Nicholas Rohde (ed.), Advances in Economic Measurement, chapter 0, pages 173-230, Springer.
  15. Xia, Dan & Zhang, Ling, 2022. "Coupling coordination degree between coal production reduction and CO2 emission reduction in coal industry," Energy, Elsevier, vol. 258(C).
  16. Wey, Wann-Ming & Kang, Chao-Chung & Khan, Haider A., 2020. "Evaluating the effects of environmental factors and a transfer fare discount policy on the performance of an urban metro system," Transport Policy, Elsevier, vol. 97(C), pages 172-185.
  17. Wang, Ya & Pan, Jiao-feng & Pei, Rui-min & Yi, Bo-Wen & Yang, Guo-liang, 2020. "Assessing the technological innovation efficiency of China's high-tech industries with a two-stage network DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
  18. Kao, Chiang, 2017. "Efficiency measurement and frontier projection identification for general two-stage systems in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 261(2), pages 679-689.
  19. Michali, Maria & Emrouznejad, Ali & Dehnokhalaji, Akram & Clegg, Ben, 2023. "Subsampling bootstrap in network DEA," European Journal of Operational Research, Elsevier, vol. 305(2), pages 766-780.
  20. Markéta Matulová & Hana Fitzová, 2018. "Transformation of urban public transport financing and its effect on operators’ efficiency: evidence from the Czech Republic," 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. 26(4), pages 967-983, December.
  21. Eugenia Nissi & Massimiliano Giacalone & Carlo Cusatelli, 2019. "The Efficiency of the Italian Judicial System: A Two Stage Data Envelopment Analysis Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 395-407, November.
  22. Lim, Sungmook & Zhu, Joe, 2019. "Primal-dual correspondence and frontier projections in two-stage network DEA models," Omega, Elsevier, vol. 83(C), pages 236-248.
  23. An, Qingxian & Chen, Haoxun & Xiong, Beibei & Wu, Jie & Liang, Liang, 2017. "Target intermediate products setting in a two-stage system with fairness concern," Omega, Elsevier, vol. 73(C), pages 49-59.
  24. Fatemeh Boloori & Jafar Pourmahmoud, 2016. "A modified SBM-NDEA approach for the efficiency measurement in bank branches," Operational Research, Springer, vol. 16(2), pages 301-326, July.
  25. Victor John M. Cantor & Kim Leng Poh, 2020. "Efficiency measurement for general network systems: a slacks-based measure model," Journal of Productivity Analysis, Springer, vol. 54(1), pages 43-57, August.
  26. Dan Li & Yanfeng Li & Yeming Gong & Jiawei Yang, 2021. "Estimation of bank performance from multiple perspectives: an alternative solution to the deposit dilemma," Journal of Productivity Analysis, Springer, vol. 56(2), pages 151-170, December.
  27. Svetlana V. Ratner & Artem M. Shaposhnikov & Andrey V. Lychev, 2023. "Network DEA and Its Applications (2017–2022): A Systematic Literature Review," Mathematics, MDPI, vol. 11(9), pages 1-24, May.
  28. Wu, Huaqing & Lv, Kui & Liang, Liang & Hu, Hanhui, 2017. "Measuring performance of sustainable manufacturing with recyclable wastes: A case from China’s iron and steel industry," Omega, Elsevier, vol. 66(PA), pages 38-47.
  29. Lotfi, Farhad Hosseinzadeh & Saen, Reza Farzipoor & Moghaddas, Zohreh & Vaez-Ghasemi, Mohsen, 2023. "Using an SBM-NDEA model to assess the desirable and undesirable outputs of sustainable supply chain: A case study in wheat industry," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
  30. Bai, Xuejie & Sun, Xianzhen & Chiu, Yung-Ho, 2020. "Does China's higher education investment play a role in industrial growth?," Technology in Society, Elsevier, vol. 63(C).
  31. Sahoo, Biresh K. & Zhu, Joe & Tone, Kaoru & Klemen, Bernhard M., 2014. "Decomposing technical efficiency and scale elasticity in two-stage network DEA," European Journal of Operational Research, Elsevier, vol. 233(3), pages 584-594.
  32. Arif Muhammad Tali & Tirupathi Rao Padi & Qaiser Farooq Dar, 2016. "Slack- based Measures of Efficiency in Two-stage Process: An Approach Based on Data Envelopment Analysis with Double Frontiers," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 6(3), pages 1194-1194.
  33. Antonio Peyrache & Maria C. A. Silva, 2019. "The Inefficiency of Production Systems and its decomposition," CEPA Working Papers Series WP052019, School of Economics, University of Queensland, Australia.
  34. Agovino, Massimiliano & Ferraro, Aniello & Garofalo, Antonio, 2023. "Are green cars an optimal and efficient choice for motorists? Evidence from Italy," Transport Policy, Elsevier, vol. 141(C), pages 140-151.
  35. Qingyou Yan & Youwei Wan & Jingye Yuan & Jieting Yin & Tomas Baležentis & Dalia Streimikiene, 2017. "Economic and Technical Efficiency of the Biomass Industry in China: A Network Data Envelopment Analysis Model Involving Externalities," Energies, MDPI, vol. 10(9), pages 1-19, September.
  36. Yanmin Shao & Song Han, 2019. "The Synergy in the Economic Production System: An Empirical Study with Chinese Industry," Sustainability, MDPI, vol. 11(4), pages 1-12, February.
  37. Chen, Ya & Li, Yongjun & Liang, Liang & Salo, Ahti & Wu, Huaqing, 2016. "Frontier projection and efficiency decomposition in two-stage processes with slacks-based measures," European Journal of Operational Research, Elsevier, vol. 250(2), pages 543-554.
  38. Kao, Chiang, 2015. "Efficiency measurement for hierarchical network systems," Omega, Elsevier, vol. 51(C), pages 121-127.
  39. Antonio Peyrache & Maria C. A. Silva, 2023. "Efficiency decomposition for multi-level multi-components production technologies," Journal of Productivity Analysis, Springer, vol. 60(3), pages 273-294, December.
  40. Gao, Xin & Ye, Yunxia & Su, Wenxin & Chen, Linyan, 2023. "Assessing the comprehensive importance of power grid nodes based on DEA," International Journal of Critical Infrastructure Protection, Elsevier, vol. 42(C).
  41. Liu, Wenbin & Zhou, Zhongbao & Ma, Chaoqun & Liu, Debin & Shen, Wanfang, 2015. "Two-stage DEA models with undesirable input-intermediate-outputs," Omega, Elsevier, vol. 56(C), pages 74-87.
  42. 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.
  43. Hirofumi Fukuyama & Atsuo Hashimoto & Kaoru Tone & William L. Weber, 2018. "Does human capital or physical capital constrain output in Japanese prefectures?," Empirical Economics, Springer, vol. 54(2), pages 379-393, March.
  44. Kao, Chiang, 2018. "Multiplicative aggregation of division efficiencies in network data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 270(1), pages 328-336.
  45. Siran Fang & Xiaoshan Xue & Ge Yin & Hong Fang & Jialin Li & Yongnian Zhang, 2020. "Evaluation and Improvement of Technological Innovation Efficiency of New Energy Vehicle Enterprises in China Based on DEA-Tobit Model," Sustainability, MDPI, vol. 12(18), pages 1-22, September.
  46. Patrizii, Vincenzo, 2020. "On network two stages variable returns to scale Dea models," Omega, Elsevier, vol. 97(C).
  47. Koronakos, Gregory & Sotiros, Dimitris & Despotis, Dimitris K. & Kritikos, Manolis N., 2022. "Fair efficiency decomposition in network DEA: A compromise programming approach," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
  48. Joe Zhu, 2022. "DEA under big data: data enabled analytics and network data envelopment analysis," Annals of Operations Research, Springer, vol. 309(2), pages 761-783, February.
  49. Walheer, Barnabe & Hudik, Marek, 2019. "Reallocation of resources in multidivisional firms: A nonparametric approach," International Journal of Production Economics, Elsevier, vol. 214(C), pages 196-205.
  50. Mahdiloo, Mahdi & Toloo, Mehdi & Duong, Thach-Thao & Farzipoor Saen, Reza & Tatham, Peter, 2018. "Integrated data envelopment analysis: Linear vs. nonlinear model," European Journal of Operational Research, Elsevier, vol. 268(1), pages 255-267.
  51. Wanke, Peter F., 2013. "Physical infrastructure and shipment consolidation efficiency drivers in Brazilian ports: A two-stage network-DEA approach," Transport Policy, Elsevier, vol. 29(C), pages 145-153.
  52. Villa, G. & Lozano, S., 2016. "Assessing the scoring efficiency of a football match," European Journal of Operational Research, Elsevier, vol. 255(2), pages 559-569.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.