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Zheng Chris Cao

Personal Details

First Name:Zheng
Middle Name:Chris
Last Name:Cao
Suffix:
RePEc Short-ID:pca1378
[This author has chosen not to make the email address public]

Affiliation

Aston Business School
Aston University

Birmingham, United Kingdom
http://www.abs.aston.ac.uk/
RePEc:edi:bsastuk (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Cao, Zheng & Li, Gang & Song, Haiyan, 2017. "Modelling the interdependence of tourism demand: The global vector autoregressive approach," Annals of Tourism Research, Elsevier, vol. 67(C), pages 1-13.
  2. Li, Gang & Song, Haiyan & Cao, Zheng & Wu, Doris Chenguang, 2013. "How competitive is Hong Kong against its competitors? An econometric study," Tourism Management, Elsevier, vol. 36(C), pages 247-256.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Cao, Zheng & Li, Gang & Song, Haiyan, 2017. "Modelling the interdependence of tourism demand: The global vector autoregressive approach," Annals of Tourism Research, Elsevier, vol. 67(C), pages 1-13.

    Cited by:

    1. Mitra, Subrata Kumar & Chattopadhyay, Manojit & Jana, R.K., 2019. "Spillover analysis of tourist movements within Europe," Annals of Tourism Research, Elsevier, vol. 79(C).
    2. Bi, Jian-Wu & Liu, Yang & Li, Hui, 2020. "Daily tourism volume forecasting for tourist attractions," Annals of Tourism Research, Elsevier, vol. 83(C).
    3. Islam, Mohammad Monirul & Fatema, Farha, 2020. "Covid-19 and Sustainable Tourism: Macroeconomic Effect and Policy Comparison among Europe, the USA and China," Asian Business Review, Asian Business Consortium, vol. 10(1), pages 53-60.
    4. Zhou, Bo & Zhang, Ying & Zhou, Peng, 2021. "Multilateral Political Effects on Outbound Tourism," Cardiff Economics Working Papers E2021/2, Cardiff University, Cardiff Business School, Economics Section.
    5. Jiao, Xiaoying & Chen, Jason Li & Li, Gang, 2021. "Forecasting tourism demand: Developing a general nesting spatiotemporal model," Annals of Tourism Research, Elsevier, vol. 90(C).
    6. Francis Baidoo & Elikplimi Komla Agbloyor & Vera Ogeh Lassey Fiador & Nana Amaniampong Marfo, 2022. "Do countries’ geographical locations moderate the tourism-led economic growth nexus in sub-Saharan Africa?," Tourism Economics, , vol. 28(4), pages 1009-1039, June.
    7. Jiao, Xiaoying & Li, Gang & Chen, Jason Li, 2020. "Forecasting international tourism demand: a local spatiotemporal model," Annals of Tourism Research, Elsevier, vol. 83(C).
    8. Jian-Wu Bi & Tian-Yu Han & Hui Li, 2022. "International tourism demand forecasting with machine learning models: The power of the number of lagged inputs," Tourism Economics, , vol. 28(3), pages 621-645, May.
    9. Li, Cheng & Zheng, Weimin & Ge, Peng, 2022. "Tourism demand forecasting with spatiotemporal features," Annals of Tourism Research, Elsevier, vol. 94(C).
    10. Vatsa, Puneet, 2020. "Comovement amongst the demand for New Zealand tourism," Annals of Tourism Research, Elsevier, vol. 83(C).
    11. Zheng, Weimin & Huang, Liyao & Lin, Zhibin, 2021. "Multi-attraction, hourly tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 90(C).
    12. A Fronzetti Colladon & B Guardabascio & R Innarella, 2021. "Using social network and semantic analysis to analyze online travel forums and forecast tourism demand," Papers 2105.07727, arXiv.org.
    13. Silva, Emmanuel Sirimal & Hassani, Hossein, 2022. "‘Modelling’ UK tourism demand using fashion retail sales," Annals of Tourism Research, Elsevier, vol. 95(C).
    14. Yang, Yang & Zhang, Honglei, 2019. "Spatial-temporal forecasting of tourism demand," Annals of Tourism Research, Elsevier, vol. 75(C), pages 106-119.
    15. Anastasiou, Dimitris & Drakos, Konstantinos & Kapopoulos, Panayotis, 2022. "Predicting international tourist arrivals in Greece with a novel sector-specific business leading indicator," MPRA Paper 113860, University Library of Munich, Germany.
    16. Gunter, Ulrich & Zekan, Bozana, 2021. "Forecasting air passenger numbers with a GVAR model," Annals of Tourism Research, Elsevier, vol. 89(C).
    17. Shaolong Suna & Dan Bi & Ju-e Guo & Shouyang Wang, 2020. "Seasonal and Trend Forecasting of Tourist Arrivals: An Adaptive Multiscale Ensemble Learning Approach," Papers 2002.08021, arXiv.org, revised Mar 2020.

  2. Li, Gang & Song, Haiyan & Cao, Zheng & Wu, Doris Chenguang, 2013. "How competitive is Hong Kong against its competitors? An econometric study," Tourism Management, Elsevier, vol. 36(C), pages 247-256.

    Cited by:

    1. Yoo Ri Kim & Anyu Liu & Allan M Williams, 2022. "Competitiveness in the visitor economy: A systematic literature review," Tourism Economics, , vol. 28(3), pages 817-842, May.
    2. Carayannis, Elias G. & Ferreira, Fernando A.F. & Bento, Paulo & Ferreira, João J.M. & Jalali, Marjan S. & Fernandes, Bernardo M.Q., 2018. "Developing a socio-technical evaluation index for tourist destination competitiveness using cognitive mapping and MCDA," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 147-158.
    3. Oscar Claveria, 2017. "“What really matters is the economic performance: Positioning tourist destinations by means of perceptual maps," IREA Working Papers 201713, University of Barcelona, Research Institute of Applied Economics, revised Jun 2017.
    4. Paulo H A Feitosa & Amanda B A Silva, 2022. "Length of stay and satisfaction shaping the competitiveness of international business tourism in São Paulo city, Brazil," Tourism Economics, , vol. 28(3), pages 728-747, May.
    5. Croes, Robertico & Ridderstaat, Jorge & Shapoval, Valeriya, 2020. "Extending tourism competitiveness to human development," Annals of Tourism Research, Elsevier, vol. 80(C).
    6. Abreu Novais, Margarida & Ruhanen, Lisa & Arcodia, Charles, 2018. "Destination competitiveness: A phenomenographic study," Tourism Management, Elsevier, vol. 64(C), pages 324-334.
    7. Andrea Saayman & Isabel Cortés-Jiménez, 2013. "Modelling Intercontinental Tourism Consumption in South Africa: A Systems-of-Equations Approach," South African Journal of Economics, Economic Society of South Africa, vol. 81(4), pages 538-560, December.
    8. Marrocu, Emanuela & Paci, Raffaele & Zara, Andrea, 2015. "Micro-economic determinants of tourist expenditure: A quantile regression approach," Tourism Management, Elsevier, vol. 50(C), pages 13-30.
    9. Ayikoru, Maureen, 2015. "Destination competitiveness challenges: A Ugandan perspective," Tourism Management, Elsevier, vol. 50(C), pages 142-158.
    10. Luo, Xinjian & Sun, Changyou & Jiang, Hongfei & Zhang, Ying & Meng, Qian, 2015. "International trade after intervention: The case of bedroom furniture," Forest Policy and Economics, Elsevier, vol. 50(C), pages 180-191.
    11. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "“A regional perspective on the accuracy of machine learning forecasts of tourism demand based on data characteristics”," AQR Working Papers 201802, University of Barcelona, Regional Quantitative Analysis Group, revised Apr 2018.
    12. Han Liu & Ying Liu & Yonglian Wang, 2021. "Exploring the influence of economic policy uncertainty on the relationship between tourism and economic growth with an MF-VAR model," Tourism Economics, , vol. 27(5), pages 1081-1100, August.
    13. Pham, Tien Duc & Nghiem, Son & Dwyer, Larry, 2017. "The determinants of Chinese visitors to Australia: A dynamic demand analysis," Tourism Management, Elsevier, vol. 63(C), pages 268-276.

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