IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v86y2020icp210-226.html
   My bibliography  Save this article

Bidirectional technological spillover in the Chinese star-rated hotel sector: An empirical investigation

Author

Listed:
  • Walheer, Barnabé
  • Zhang, Linjia
  • Luo, Yingchan

Abstract

The star-rated hotel sector has played an increasing role in Chinese economic development. A feature of this sector is the technology-gap between high- and low-end hotels, which may generate spillover through different channels: such as human capital mobility and management systems. High-end hotels are technological leaders with better access to technology, foreign connections, and government policy support, while low-end hotels have better localized knowledge and expertise. Therefore, it is important to see whether there is spillover between high- and low-end hotels. Two contributions of our paper are to model hotels as multi-service decision-makers, and to rely on a nonparametric empirical strategy. The results show that high-end hotels are the major spillover generators moving the star-rated hotel sector to better performance. On the other hand, low-end hotels not only integrate the technological knowledge from high-end hotels, but also share their experience of local knowledge.

Suggested Citation

  • Walheer, Barnabé & Zhang, Linjia & Luo, Yingchan, 2020. "Bidirectional technological spillover in the Chinese star-rated hotel sector: An empirical investigation," Economic Modelling, Elsevier, vol. 86(C), pages 210-226.
  • Handle: RePEc:eee:ecmode:v:86:y:2020:i:c:p:210-226
    DOI: 10.1016/j.econmod.2019.06.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S026499931831407X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econmod.2019.06.013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hirofumi Fukuyama & William L. Weber, 2008. "Profit Inefficiency of Japanese Securities Firms," Journal of Applied Economics, Taylor & Francis Journals, vol. 11(2), pages 281-303, November.
    2. Barros, Carlos Pestana & Botti, Laurent & Peypoch, Nicolas & Robinot, Elisabeth & Solonandrasana, Bernardin & A., George Assaf, 2011. "Performance of French destinations: Tourism attraction perspectives," Tourism Management, Elsevier, vol. 32(1), pages 141-146.
    3. Subramanian, Nachiappan & Gunasekaran, Angappa & Gao, Yanan, 2016. "Innovative service satisfaction and customer promotion behaviour in the Chinese budget hotel: an empirical study," International Journal of Production Economics, Elsevier, vol. 171(P2), pages 201-210.
    4. Hai Dong & Nicolas Peypoch & Linjia Zhang, 2020. "Do contextual factors matter? Evidence from Chinese hotel productivity with heterogeneity," Tourism Economics, , vol. 26(2), pages 257-275, March.
    5. Liviu-George Maha & Elena Daniela Viorică & Mircea Asandului & Andreea Maha, 2018. "Hotel Efficiency Analysis from the Customer’s Point of View in Romania: A Stochastic Production Frontier Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(3), pages 661-676, February.
    6. Hongwei Liu & Henry Tsai, 2018. "Total factor productivity growth and regional competitive analysis of China’s star-rated hotels," Tourism Economics, , vol. 24(6), pages 625-644, September.
    7. Wong, Tommy & French, Linda & Wickham, Mark, 2016. "Knowledge-management issues in China’s hotel industry," Annals of Tourism Research, Elsevier, vol. 57(C), pages 257-259.
    8. Assaf, A. George & Tsionas, Mike, 2018. "The estimation and decomposition of tourism productivity," Tourism Management, Elsevier, vol. 65(C), pages 131-142.
    9. Cliff Huang & Tai-Hsin Huang & Nan-Hung Liu, 2014. "A new approach to estimating the metafrontier production function based on a stochastic frontier framework," Journal of Productivity Analysis, Springer, vol. 42(3), pages 241-254, December.
    10. Wang, Qunwei & Zhao, Zengyao & Zhou, Peng & Zhou, Dequn, 2013. "Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 35(C), pages 283-289.
    11. 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.
    12. A. Georges Assaf & Frank W. Agbola, 2011. "Modelling the Performance of Australian Hotels: A DEA Double Bootstrap Approach," Tourism Economics, , vol. 17(1), pages 73-89, February.
    13. Fu, Tsu-Tan & Juo, Jia-Ching & Chiang, Han-Chin & Yu, Ming-Miin & Huang, Mei-ying, 2016. "Risk-based decompositions of the meta profit efficiency of Taiwanese and Chinese banks," Omega, Elsevier, vol. 62(C), pages 34-46.
    14. Kounetas, Kostas & Napolitano, Oreste, 2018. "Modeling the incidence of international trade on Italian regional productive efficiency using a meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 71(C), pages 45-58.
    15. Mohammad Arzaghi & J. Vernon Henderson, 2008. "Networking off Madison Avenue," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 75(4), pages 1011-1038.
    16. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
    17. John C. Panzar & Robert D. Willig, 1977. "Economies of Scale in Multi-Output Production," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 91(3), pages 481-493.
    18. C-W Huang & C-T Ting & C-H Lin & C-T Lin, 2013. "Measuring non-convex metafrontier efficiency in international tourist hotels," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(2), pages 250-259, February.
    19. Benoît Desmarchelier & Linjia Zhang, 2018. "Innovation networks and cluster dynamics," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(3), pages 553-578, November.
    20. Zhang, Linjia & Botti, Laurent & Petit, Sylvain, 2016. "Destination performance: Introducing the utility function in the mean-variance space," Tourism Management, Elsevier, vol. 52(C), pages 123-132.
    21. Walheer, Barnabé, 2018. "Aggregation of metafrontier technology gap ratios: the case of European sectors in 1995–2015," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1013-1026.
    22. Assaf, A. George & Josiassen, Alexander & Agbola, Frank W., 2015. "Attracting international hotels: Locational factors that matter most," Tourism Management, Elsevier, vol. 47(C), pages 329-340.
    23. Zhang, Ning & Choi, Yongrok, 2013. "Total-factor carbon emission performance of fossil fuel power plants in China: A metafrontier non-radial Malmquist index analysis," Energy Economics, Elsevier, vol. 40(C), pages 549-559.
    24. Walheer, Barnabé & Zhang, Linjia, 2018. "Profit Luenberger and Malmquist-Luenberger indexes for multi-activity decision making units: the case of the star-rated hotel industry in China," RIEI Working Papers 2018-06, Xi'an Jiaotong-Liverpool University, Research Institute for Economic Integration.
    25. Crespo, Nuno & Fontoura, Maria Paula, 2007. "Determinant Factors of FDI Spillovers - What Do We Really Know?," World Development, Elsevier, vol. 35(3), pages 410-425, March.
    26. Yang, Zhenshan & Cai, Jianming, 2016. "Do regional factors matter? Determinants of hotel industry performance in China," Tourism Management, Elsevier, vol. 52(C), pages 242-253.
    27. Tsekouras, Kostas & Chatzistamoulou, Nikos & Kounetas, Kostas & Broadstock, David C., 2016. "Spillovers, path dependence and the productive performance of European transportation sectors in the presence of technology heterogeneity," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 261-274.
    28. Fei-Ching Wang & Wei-Ting Hung & Jui-Kou Shang, 2006. "Measuring the Cost Efficiency of International Tourist Hotels in Taiwan," Tourism Economics, , vol. 12(1), pages 65-85, March.
    29. Santos, Maria & Brochado, Ana & Esperança, José, 2016. "Foreign direct investment patterns of global hotel chains," Journal of Business Research, Elsevier, vol. 69(11), pages 5235-5240.
    30. Klaus E Meyer & Evis Sinani, 2009. "When and where does foreign direct investment generate positive spillovers? A meta-analysis," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 40(7), pages 1075-1094, September.
    31. Hirofumi Fukuyama & William L. Weber, 2008. "Profit inefficiency of Japanese securities firm," Journal of Applied Economics, Universidad del CEMA, vol. 11, pages 281-303, November.
    32. Sahoo, Biresh K. & Mehdiloozad, Mahmood & Tone, Kaoru, 2014. "Cost, revenue and profit efficiency measurement in DEA: A directional distance function approach," European Journal of Operational Research, Elsevier, vol. 237(3), pages 921-931.
    33. George E. Battese & D. S. Prasada Rao, 2002. "Technology Gap, Efficiency, and a Stochastic Metafrontier Function," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 1(2), pages 87-93, August.
    34. Mao, Zhenxing (Eddie) & Yang, Yang, 2016. "FDI spillovers in the Chinese hotel industry: The role of geographic regions, star-rating classifications, ownership types, and foreign capital origins," Tourism Management, Elsevier, vol. 54(C), pages 1-12.
    35. Konstantinos Giannakas & Kien C. Tran & Vangelis Tzouvelekas, 2003. "On the choice of functional form in stochastic frontier modeling," Empirical Economics, Springer, vol. 28(1), pages 75-100, January.
    36. Fernandes, Ana M. & Paunov, Caroline, 2012. "Foreign direct investment in services and manufacturing productivity: Evidence for Chile," Journal of Development Economics, Elsevier, vol. 97(2), pages 305-321.
    37. Feng, Chao & Wang, Miao & Liu, Guan-Chun & Huang, Jian-Bai, 2017. "Sources of economic growth in China from 2000–2013 and its further sustainable growth path: A three-hierarchy meta-frontier data envelopment analysis," Economic Modelling, Elsevier, vol. 64(C), pages 334-348.
    38. Panzar, John C & Willig, Robert D, 1981. "Economies of Scope," American Economic Review, American Economic Association, vol. 71(2), pages 268-272, May.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Chin‐wei Huang & Hsiao‐Yin Chen, 2023. "Using nonradial metafrontier data envelopment analysis to evaluate the metatechnology and metafactor ratios for the Taiwanese hotel industry," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 1904-1919, June.
    2. Hai Dong & Qi-Bin Liang & Nicolas Peypoch, 2023. "Tourist attractions in efficiency analysis," Tourism Economics, , vol. 29(3), pages 835-841, May.
    3. Pan, Xiongfeng & Li, Mengna & Wang, Mengyang & Chu, Junhui & Bo, Hongguang, 2020. "The effects of outward foreign direct investment and reverse technology spillover on China's carbon productivity," Energy Policy, Elsevier, vol. 145(C).
    4. Emmanuel Mamatzakis & Panagiotis Pegkas & Christos Staikouras, 2023. "Labour market regulations and efficiency in tourism industry," Tourism Economics, , vol. 29(4), pages 1032-1054, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hai Dong & Nicolas Peypoch & Linjia Zhang, 2020. "Do contextual factors matter? Evidence from Chinese hotel productivity with heterogeneity," Tourism Economics, , vol. 26(2), pages 257-275, March.
    2. Barnabé Walheer, 2019. "Dynamic directional nonparametric profit efficiency analysis for a single decision-making unit: an aggregation approach," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(4), pages 1123-1149, December.
    3. Walheer, Barnabé, 2023. "Meta-frontier and technology switchers: A nonparametric approach," European Journal of Operational Research, Elsevier, vol. 305(1), pages 463-474.
    4. Walheer, Barnabé & He, Ming, 2020. "Technical efficiency and technology gap of the manufacturing industry in China: Does firm ownership matter?," World Development, Elsevier, vol. 127(C).
    5. 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.
    6. Afsharian, Mohsen & Ahn, Heinz & Harms, Sören Guntram, 2019. "Performance comparison of management groups under centralised management," European Journal of Operational Research, Elsevier, vol. 278(3), pages 845-854.
    7. Walheer, Barnabé, 2018. "Aggregation of metafrontier technology gap ratios: the case of European sectors in 1995–2015," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1013-1026.
    8. Yu, Ming-Miin & Lin, Chung-I & Chen, Kuan-Chen & Chen, Li-Hsueh, 2021. "Measuring Taiwanese bank performance: A two-system dynamic network data envelopment analysis approach," Omega, Elsevier, vol. 98(C).
    9. Barnabé Walheer, 2020. "Output, input, and undesirable output interconnections in data envelopment analysis: convexity and returns-to-scale," Annals of Operations Research, Springer, vol. 284(1), pages 447-467, January.
    10. Tao Ding & Ya Chen & Huaqing Wu & Yuqi Wei, 2018. "Centralized fixed cost and resource allocation considering technology heterogeneity: a DEA approach," Annals of Operations Research, Springer, vol. 268(1), pages 497-511, September.
    11. Fang-Rong Ren & Ze Tian & Yu-Ting Shen & Yung-Ho Chiu & Tai-Yu Lin, 2019. "Energy, CO 2 , and AQI Efficiency and Improvement of the Yangtze River Economic Belt," Energies, MDPI, vol. 12(4), pages 1-17, February.
    12. Yu, Ming-Miin, 2020. "Nerlovian profit inefficiency in non-fully-competitive settings: Definition and decomposition," Omega, Elsevier, vol. 90(C).
    13. Meng, Ming & Pang, Tingting, 2022. "Operational efficiency analysis of China's electric power industry using a dynamic network slack-based measure model," Energy, Elsevier, vol. 251(C).
    14. Claudio Detotto & Manuela Pulina & Juan Brida, 2014. "Assessing the productivity of the Italian hospitality sector: a post-WDEA pooled-truncated and spatial analysis," Journal of Productivity Analysis, Springer, vol. 42(2), pages 103-121, October.
    15. Arbelo-Pérez, Marta & Arbelo, Antonio & Pérez-Gómez, Pilar, 2017. "Impact of quality on estimations of hotel efficiency," Tourism Management, Elsevier, vol. 61(C), pages 200-208.
    16. Economou, Polychronis & Malefaki, Sonia & Kounetas, Konstantinos, 2019. "Productive Performance and Technology Gaps using a Bayesian Metafrontier Production Function: A cross-country comparison," MPRA Paper 94462, University Library of Munich, Germany.
    17. Nakaishi, Tomoaki & Takayabu, Hirotaka & Eguchi, Shogo, 2021. "Environmental efficiency analysis of China's coal-fired power plants considering heterogeneity in power generation company groups," Energy Economics, Elsevier, vol. 102(C).
    18. Fei, Rilong & Lin, Boqiang, 2016. "Energy efficiency and production technology heterogeneity in China's agricultural sector: A meta-frontier approach," Technological Forecasting and Social Change, Elsevier, vol. 109(C), pages 25-34.
    19. Delnava, Haleh & Khosravi, Ali & El Haj Assad, Mamdouh, 2023. "Metafrontier frameworks for estimating solar power efficiency in the United States using stochastic nonparametric envelopment of data (StoNED)," Renewable Energy, Elsevier, vol. 213(C), pages 195-204.
    20. Xiangyu Teng & Danting Lu & Yung-ho Chiu, 2019. "Emission Reduction and Energy Performance Improvement with Different Regional Treatment Intensity in China," Energies, MDPI, vol. 12(2), pages 1-18, January.

    More about this item

    Keywords

    Star-rated hotels; China; Efficiency; Technology gap; Spillovers; Meta-technology;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecmode:v:86:y:2020:i:c:p:210-226. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30411 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.