朱亮，管理学博士，博士毕业于新加坡南洋理工大学，十大正规外围买球网站国际经济与贸易系副教授。

共享经济，旅游经济，消费者行为

发表论文：

1. Liang Zhu, Lingxue Zhan, & Shaobo Li. (2021). Is sustainable development reasonable for tourism destinations? An empirical study of the relationship between environmental competitiveness and tourism growth. Sustainable Development, 29: 66-78.

2. Liang Zhu, Christine Lim, & Jianlun Zhang. (2021). Prediction of Risk: Decoding the Serial Dependence of Stock Return Volatility with Copula. Journal of Hospitality & Tourism Research, 45(1): 6-27.

3. Liang Zhu, Yan Lin, & Mingming Cheng. (2020). Sentiment and guest satisfaction with peer-to-peer accommodation: When are online ratings more trustworthy? International Journal of Hospitality Management, 86: 102369.

4. Liang Zhu, Mingming Cheng, & Anthony Wong. (2019), Determinants of peer-to-peer rental rating scores: the case of Airbnb. International Journal of Contemporary Hospitality Management, 31(9), 3702-3721.

5. Christine Lim, Liang Zhu, & Tay Koo. (2018). Urban redevelopment and tourism growth: Relationship between tourism infrastructure and international visitor flows. International Journal of Tourism Research, 21(2), 187-196.

6. Liang Zhu*, Christine Lim, Wenjun Xie, & Yuan Wu. (2018). Modelling Tourist Flow Association for Tourism Demand Forecasting. Current Issues in Tourism, 21(8), 902-916.

7. Christine Lim, & Liang Zhu*. (2018). Examining the link between meetings, incentive, exhibitions, and conventions (MICE) and tourism demand using generalized methods of moments (GMM): the case of Singapore. Journal of Travel & Tourism Marketing, 35(7), 846-855.

8. Liang Zhu, Christine Lim, Wenjun Xie, & Yuan Wu. (2017). Analysis of tourism demand serial dependence structure for forecasting. Tourism Economics, 23(7), 1419-1436.

9. Christine Lim, & Liang Zhu*. (2017). Dynamic heterogeneous panel data analysis of tourism demand for Singapore. Journal of Travel & Tourism Marketing, 34(9), 1224-1234.

10. 朱亮, 张建萍. (2017). 基于Bernstein Copula 函数的中国入境旅游需求预测. 旅游学刊, (11), 41-48.

主持课题：

国家自然科学基金青年项目《中国共享单车系统设计中的企业最优服务策略》（2019.1 – 2021.12）