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Academic Journal of Business & Management, 2026, 8(1); doi: 10.25236/AJBM.2026.080123.

Operational Efficiency Evaluation of Tourism Listed Firms in China: A Slack-Based Measure DEA Approach

Author(s)

Dengyu Zhu1, Hao Zhang1, Nan Xia1, Lingge Meng1, Shibo Shi1

Corresponding Author:
Nan Xia
Affiliation(s)

1Business School, University of Shanghai for Science and Technology, Shanghai, 200093, China

Abstract

Enhancing operational efficiency serves as a critical foundation for the high-quality development of China’s tourism industry. However, existing studies have shown limited attention to evaluating the operational efficiency at the firm-level. To this end, this study applies the Slack-Based Measure Data Envelopment Analysis (SBM-DEA) method to measure the operational efficiency of 13 tourism listed firms in China from 2017 to 2023. The findings reveal that the overall operational efficiency of tourism firms remains at a low level, suggesting substantial potential for improvement. From the perspective of heterogeneity, firms operating comprehensive cultural tourism perform better than those operating natural scenery tourism, and firms located in the eastern region demonstrate higher efficiency levels than their counterparts in the central and western regions. In addition, the efficiency gap among firms narrows following the pandemic. The input and output improvement analysis reveals a significant excess in employee investment and the deficiency in tourists received. Based on these findings, this study also provides some suggestions for improving operational efficiency.

Keywords

Operational efficiency, Tourism firm, SBM model, Input and output improvement

Cite This Paper

Dengyu Zhu, Hao Zhang, Nan Xia, Lingge Meng, Shibo Shi. Operational Efficiency Evaluation of Tourism Listed Firms in China: A Slack-Based Measure DEA Approach. Academic Journal of Business & Management (2026), Vol. 8, Issue 1: 170-176. https://doi.org/10.25236/AJBM.2026.080123.

References

[1] World Travel & Tourism Council. Travel & Tourism Economic Impact Research (EIR) 2024: Global Trends[R]. World Travel & Tourism Council, 2024. 

[2] Turtureanu A G, Crețu C M, Pripoaie R, et al. Sustainable development through agritourism and rural tourism: Research trends and future perspectives in the pandemic and post-pandemic period[J]. Sustainability, 2025, 17: 3998. 

[3] Zheng J, Liang S, Ma J, et al. Can tourism enhance Chinese subjective well-being? [J]. Annals of Tourism Research, 2022, 93: 103372. 

[4] Derouiche I, Manita R, Muessig A. Risk disclosure and firm operational efficiency[J]. Annals of Operations Research, 2021, 297: 115–145. 

[5] Yang C, Xia Y, Lam J F, et al. Analyzing the tourism efficiency and its influencing factors of China’s coastal provinces[J]. PLOS ONE, 2024, 19: e0299772. 

[6] Zhao S, Huang T, Xi J. Understanding the evolution of regional tourism efficiency: Through the lens of evolutionary economic geography[J]. Sustainability, 2022, 14: 11042. 

[7] Stoiljković A, Marcikić Horvat A, Tomić S. Assessing the tourism efficiency of European countries using data envelopment analysis: A sustainability approach[J]. Sustainability, 2025, 17: 1493. 

[8] Hu X. Research on the operating efficiency of Chinese listed tourism companies based on DEA–Malmquist model[C]. Proc. 2021 4th Int. Conf. E-Business, Information Management and Computer Science, 2021: 390–394. 

[9] Kim C, Kim S. Measuring the operational efficiency of individual theme park attractions[J]. Springer Plus, 2016, 5: 834. 

[10] Charnes A, Cooper W W, Rhodes E. Measuring the efficiency of decision making units[J]. European Journal of Operational Research, 1978, 2: 429–444. 

[11] Banker R D, Charnes A, Cooper W W. Some models for estimating technical and scale inefficiencies in data envelopment analysis[J]. Management Science, 1984, 30: 1078–1092. 

[12] Tone K. A slacks-based measure of efficiency in data envelopment analysis[J]. European Journal of Operational Research, 2001, 130: 498–509. 

[13] Arana-Jiménez M, Lozano-Ramírez J, Sánchez-Gil M C, et al. A novel slacks-based interval DEA model and application[J]. Axioms, 2024, 13: 144. 

[14] OECD. Providing new OECD evidence on tourism trade in value added[R]. OECD Tourism Papers, 2019.

[15] Alberca P, Parte L. Efficiency in the holiday and other short-stay accommodation industry[J]. Sustainability, 2020, 12: 9493. 

[16] Liao Z, Wang L. Spatial differentiation and influencing factors of red tourism resources transformation efficiency in China based on RMP–IO analysis[J]. Scientific Reports, 2024, 14: 10761. 

[17] Martínez C I P, Poveda A C. Efficiency and sustainability of the tourism industry in Latin America[J]. Regional Sustainability, 2024, 5: 100178. 

[18] Liao Z, Liang S. Construction and evolutionary factors of spatial correlation network of China’s provincial tourism resource conversion efficiency[J]. Heliyon, 2024, 10. 

[19] Chaabouni S. China’s regional tourism efficiency: A two-stage double bootstrap data envelopment analysis[J]. Journal of Destination Marketing & Management, 2019, 11: 183–191.