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Congestion and returns to scale in data envelopment analysis

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  1. Nasierowski Wojciech & Arcelus Francisco J., 2012. "What is Innovativeness: Literature Review," Foundations of Management, Sciendo, vol. 4(1), pages 63-74, June.
  2. Chen, Ci & Yan, Hong, 2011. "Network DEA model for supply chain performance evaluation," European Journal of Operational Research, Elsevier, vol. 213(1), pages 147-155, August.
  3. Daohan Huang & Zihao Shen & Chengshuang Sun & Guijun Li, 2021. "Shifting from Production-Based to Consumption-Based Nexus Governance: Evidence from an Input–Output Analysis of the Local Water-Energy-Food Nexus," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(6), pages 1673-1688, April.
  4. Wei, Quanling & Yan, Hong, 2009. "Weak congestion in output additive data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 43(1), pages 40-54, March.
  5. Xian-tong Ren & Chen Jiang & Yuan Cui & Guo-liang Yang & Jean-Michel Sahut, 2025. "Measuring congestion with undesirable outputs in China’s banking industry," Review of Quantitative Finance and Accounting, Springer, vol. 65(1), pages 401-436, July.
  6. Noor Ramli & Susila Munisamy & Behrouz Arabi, 2013. "Scale directional distance function and its application to the measurement of eco-efficiency in the manufacturing sector," Annals of Operations Research, Springer, vol. 211(1), pages 381-398, December.
  7. Maryam Shadab & Saber Saati & Reza Farzipoor Saen & Mohammad Khoveyni & Amin Mostafaee, 2021. "Detecting congestion in DEA by solving one model," Operations Research and Decisions, Wroclaw University of Science Technology, Faculty of Management, vol. 31(1), pages 77-96.
  8. Peixin Duan, 2022. "How large of a grant size is appropriate? Evidence from the National Natural Science Foundation of China," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-14, February.
  9. Yang, Zhuofan & Shi, Yong & Yan, Hong, 2017. "Analysis on pure e-commerce congestion effect, productivity effect and profitability in China," Socio-Economic Planning Sciences, Elsevier, vol. 57(C), pages 35-49.
  10. Antonio Peyrache & Angelo Zago, 2024. "The inefficiency of courts of justice: industry structure, capacity and misallocation," Journal of Productivity Analysis, Springer, vol. 62(2), pages 217-238, October.
  11. Xian-tong Ren & Guo-liang Yang, 2024. "Eliminating congestion in China’s papermaking and paper products industry: From both the perspective of increasing and decreasing inputs," Journal of Productivity Analysis, Springer, vol. 61(1), pages 63-82, February.
  12. Gong, Shixin & Shao, Cheng & Zhu, Li, 2017. "Energy efficiency evaluation in ethylene production process with respect to operation classification," Energy, Elsevier, vol. 118(C), pages 1370-1379.
  13. Pang, Qinghua & Qiu, Man & Zhang, Lina & Chiu, Yung-ho, 2023. "Congestion effects of energy and capital in China's carbon emission reduction: Evidence from provincial levels," Energy, Elsevier, vol. 274(C).
  14. Wojciech Nasierowski, 2019. "Assessing Technical Efficiency Of Innovations In Canada: The Global Snapshot," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 23(03), pages 1-25, April.
  15. F. Wu & P. Zhou & D. Zhou, 2015. "Measuring Energy Congestion in Chinese Industrial Sectors: A Slacks-Based DEA Approach," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 479-494, October.
  16. Fukuyama, Hirofumi & Tan, Yong & Wanke, Peter, 2025. "Global inefficiencies in labour, patents, energy, capital, environment, and economics: The role of corruption, democracy, and income distribution," Socio-Economic Planning Sciences, Elsevier, vol. 100(C).
  17. Mehdiloozad, Mahmood & Zhu, Joe & Sahoo, Biresh K., 2018. "Identification of congestion in data envelopment analysis under the occurrence of multiple projections: A reliable method capable of dealing with negative data," European Journal of Operational Research, Elsevier, vol. 265(2), pages 644-654.
  18. Fang, Lei, 2015. "Congestion measurement in nonparametric analysis under the weakly disposable technology," European Journal of Operational Research, Elsevier, vol. 245(1), pages 203-208.
  19. Saber Saati & Maryam Shadab, 2023. "Exploring congestion in intermediate products by DEA: an application on Iranian cement supply chain," Operational Research, Springer, vol. 23(4), pages 1-32, December.
  20. Hu, Jin-Li & Chang, Ming-Chung & Tsay, Hui-Wen, 2017. "The congestion total-factor energy efficiency of regions in Taiwan," Energy Policy, Elsevier, vol. 110(C), pages 710-718.
  21. Yang, Guo-liang & Rousseau, Ronald & Yang, Li-ying & Liu, Wen-bin, 2014. "A study on directional returns to scale," Journal of Informetrics, Elsevier, vol. 8(3), pages 628-641.
  22. Jing Huang & Dongqian Xue, 2019. "Study on Temporal and Spatial Variation Characteristics and Influencing Factors of Land Use Efficiency in Xi’an, China," Sustainability, MDPI, vol. 11(23), pages 1-16, November.
  23. Zhang, Yue-Jun & Liu, Jing-Yue & Su, Bin, 2020. "Carbon congestion effects in China's industry: Evidence from provincial and sectoral levels," Energy Economics, Elsevier, vol. 86(C).
  24. Wu, Jie & An, Qingxian & Xiong, Beibei & Chen, Ya, 2013. "Congestion measurement for regional industries in China: A data envelopment analysis approach with undesirable outputs," Energy Policy, Elsevier, vol. 57(C), pages 7-13.
  25. Qiang Hou & Meiou Wang & Xue Zhou, 2018. "Improved DEA Cross Efficiency Evaluation Method Based on Ideal and Anti-Ideal Points," Discrete Dynamics in Nature and Society, Hindawi, vol. 2018, pages 1-9, April.
  26. Maryam Shadab & Saber Saati & Reza Farzipoor Saen & Mohammad Khoveyni & Amin Mostafaee, 2021. "Detecting congestion in DEA by solving one model," Operations Research and Decisions, Wroclaw University of Science Technology, Faculty of Management, vol. 31, pages 77-96.
  27. Ren, Xian-tong & Fukuyama, Hirofumi & Yang, Guo-liang, 2022. "Eliminating congestion by increasing inputs in R&D activities of Chinese universities," Omega, Elsevier, vol. 110(C).
  28. Alfonso Mendoza-Velázquez & Francisco Benita, 2019. "Efficiency, Productivity, and Congestion Performance: Analysis of the Automotive Cluster in Mexico," Journal of Industry, Competition and Trade, Springer, vol. 19(4), pages 661-678, December.
  29. František STŘELEČEK & Radek ZDENĚK & Jana LOSOSOVÁ, 2011. "Influence of production change on return to scale," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 57(4), pages 159-168.
  30. Fang, Zhong & Luo, Na & Xiao, Qiqi & Chiu, Yung-ho, 2025. "The performance and input congestion of 19 listed port companies in China," Transport Policy, Elsevier, vol. 164(C), pages 178-195.
  31. Chen, Zhenling & Li, Jinkai & Zhao, Weigang & Yuan, Xiao-Chen & Yang, Guo-liang, 2019. "Undesirable and desirable energy congestion measurements for regional coal-fired power generation industry in China," Energy Policy, Elsevier, vol. 125(C), pages 122-134.
  32. Yajun Guo & Zhuo Cao, 2024. "A study on the tourism efficiency of tourism destination based on DEA model: A case of ten cities in Shaanxi province," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-14, January.
  33. Ali Azadeh & Mansoureh Hasannia Kolaee & Vahid Salehi, 2016. "The impact of redundancy on resilience engineering in a petrochemical plant by data envelopment analysis," Journal of Risk and Reliability, , vol. 230(3), pages 285-296, June.
  34. Maryam Shadab & Saber Saati & Reza Farzipoor Saen & Mohammad Khoveyni & Amin Mostafaee, 2021. "Detecting congestion in DEA by solving one model," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(1), pages 61-76.
  35. František Střeleček & Jana Lososová & Radek Zdeněk, 2010. "Size and structure of return to scale in revenue function and cost function [Velikost a struktura efektu z rozsahu ve výnosové a nákladové funkci]," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 58(6), pages 491-502.
  36. Junli Gao & Chaofeng Shao & Sihan Chen, 2022. "Evolution and Driving Factors of the Spatiotemporal Pattern of Tourism Efficiency at the Provincial Level in China Based on SBM–DEA Model," IJERPH, MDPI, vol. 19(16), pages 1-17, August.
  37. Kao, Chiang, 2010. "Congestion measurement and elimination under the framework of data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 123(2), pages 257-265, February.
  38. Jun Wang & Yong Zha, 2014. "Distinguishing Technical Inefficiency from Desirable and Undesirable Congestion with an Application to Regional Industries in China," Sustainability, MDPI, vol. 6(12), pages 1-19, December.
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