Econometric Modelling and Forecasting of Tourism Demand: Methods and Applications
暫譯: 旅遊需求的計量經濟模型與預測:方法與應用

Chenguang Wu, Doris, Li, Gang, Song, Haiyan

  • 出版商: Routledge
  • 出版日期: 2022-10-27
  • 售價: $1,860
  • 貴賓價: 9.5$1,767
  • 語言: 英文
  • 頁數: 310
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032216417
  • ISBN-13: 9781032216416
  • 海外代購書籍(需單獨結帳)

商品描述

This insightful and timely volume provides a succinct, expert-led introduction to the latest developments in advanced econometric methodologies in the context of tourism demand modelling and forecasting.

Written by a plethora of worldwide experts on this topic, this book offers a comprehensive approach to tourism econometrics. Accurate demand forecasts are crucial to decision-making in the tourism industry and this book provides real-life tourism applications and the corresponding R code alongside theoretical foundations, in order to enhance understanding and practice amongst its readers. The methodologies introduced include general to specific modelling, cointegration, vector autoregression, time-varying parameter modelling, spatiotemporal econometric models, mixed-frequency forecasting, hybrid forecasting models, forecasting combination techniques, density forecasting, judgemental forecasting, scenario forecasting under crisis, and web-based tourism forecasting.

Embellished with insightful figures and tables throughout, this book is an invaluable resource for those using advanced econometric methodologies in their studies and research, including both undergraduate and postgraduate students, researchers, and practitioners.

商品描述(中文翻譯)

這本具有洞察力且及時的著作,提供了對於旅遊需求建模和預測中最新進展的簡明專家導讀。

本書由多位全球專家撰寫,提供了旅遊計量經濟學的全面方法。準確的需求預測對於旅遊產業的決策至關重要,本書提供了實際的旅遊應用及相應的 R 代碼,並結合理論基礎,以增強讀者的理解和實踐。所介紹的方法論包括從一般到特定的建模、協整、向量自回歸、時間變數參數建模、時空計量經濟模型、混合頻率預測、混合預測模型、預測組合技術、密度預測、判斷性預測、危機下的情境預測,以及基於網路的旅遊預測。

本書中配有深入的圖表,對於那些在研究和學習中使用先進計量經濟學方法的人來說,無疑是一本寶貴的資源,包括本科生和研究生、研究人員及實務工作者。

作者簡介

Doris Chenguang Wu, Ph.D., is a Professor in the School of Business at Sun Yat-sen University, China. Her research interests include tourism demand forecasting and tourism big data analytics.

Gang Li, Ph.D., is a Professor of Tourism Economics at the University of Surrey. His research interests include economic analysis and forecasting of tourism demand.

Haiyan Song, Ph.D., is Chan Chak Fu Professor of International Tourism in the School of Hotel and Tourism Management at the Hong Kong Polytechnic University. His research interests are in tourism demand modelling and forecasting, tourism supply chain management, and wine economics.

作者簡介(中文翻譯)

吳晨光 (Doris Chenguang Wu),博士,為中山大學商學院教授。她的研究興趣包括旅遊需求預測及旅遊大數據分析。

李剛 (Gang Li),博士,為薩里大學旅遊經濟學教授。他的研究興趣包括旅遊需求的經濟分析與預測。

宋海燕 (Haiyan Song),博士,為香港理工大學酒店及旅遊管理學院的陳澤富國際旅遊教授。他的研究興趣包括旅遊需求建模與預測、旅遊供應鏈管理及葡萄酒經濟學。