Projects per year
Personal profile
Research Interests
His major research interests include applied econometrics, demand forecasting, tourism economics and computational finance.
Personal profile
Long Wen joined the School of Economics as an Assistant Professor at the University of Nottingham Ningbo China in February 2020 after working as a post doctor at Hong Kong Polytechnic University. His research interests include Econometrics, Tourism Economics and Computational Finance.
Teaching
ECON1049 Mathematical Economics and Econometrics
ECON4046 Economic Data Analysis
Person Types
- Staff
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Collaborations and top research areas from the last five years
Projects
- 1 Finished
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A novel method in tourism demand modelling and forecasting: The use of structured and unstructured data in the era of big data
Wen, L. (PI)
1/01/21 → 31/12/23
Project: Government Funded Projects › Vertical-National Government Funded Projects
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A holistic model of tourists’ pro-sustainability shopping consumption: The role of tourist heterogeneity
Cai, Y., Qiu, R. T. R. & Wen, L., Dec 2024, In: Tourism Management. 105, 104976.Research output: Journal Publication › Article › peer-review
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Intellectual landscape and emerging trends of big data research in hospitality and tourism: A scientometric analysis
Cai, Y., Li, G., Wen, L. & Liu, C., Feb 2024, In: International Journal of Hospitality Management. 117, 103633.Research output: Journal Publication › Article › peer-review
Open Access -
Modeling and forecasting listed tourism firms’ risk in China using a trend asymmetric GARCH-MIDAS model
Yang, P., Song, H., Wen, L. & Liu, H., Sept 2024, In: Tourism Economics. 30, 6, p. 1404-1422 19 p.Research output: Journal Publication › Article › peer-review
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Predicting tourism recovery from COVID-19: A time-varying perspective
Liu, Y., Wen, L., Liu, H. & Song, H., Jun 2024, In: Economic Modelling. 135, 106706.Research output: Journal Publication › Article › peer-review
Open Access2 Citations (Scopus) -
Tourism Demand Forecasting With Multiple Mixed-Frequency Data: A Reverse Mixed-Data Sampling Method
Wu, P., Li, G., Wen, L. & Liu, H., Nov 2024, In: Journal of Travel Research. 63, 8, p. 2023-2041 19 p.Research output: Journal Publication › Article › peer-review
Open Access3 Citations (Scopus)