当代财经 ›› 2019, Vol. 0 ›› Issue (10): 1887-.

• • 上一篇    

中国旅游产业效率区域评价及其解构分析———基于SFA的实证研究

胡亚光   

  1. (江西经济管理干部学院 财贸管理系,江西 南昌 330088)
  • 收稿日期:2019-03-19 发布日期:2021-01-21
  • 作者简介:胡亚光,江西经济管理干部学院副教授,博士,主要从事旅游产业经济研究,联系方式 25095424@qq.com。

Regional Evaluation of China’s Tourism Industry Efficiency and Its Deconstruction Analysis: An Empirical Study Based on SFA

HU Ya-guang   

  1. (Jiangxi Institute of Economic Administrators, Nanchang 330088, China)
  • Received:2019-03-19 Published:2021-01-21

摘要: 围绕旅游经济发展效率,采用随机前沿法(SFA)对2005—2014年间中国31个省级行政区(港澳台地区除外)的旅游经济效率水平进行实证分析,同时综合Kumbhakar和Lovell(2000)的效率增长解构法,对全要素生产率(TFP)增长率进行解构研究。研究表明,我国旅游产业效率存在明显的“东强西弱”区域异质性特征。技术进步率以及规模效率是制约我国东部地区全要素生产率增长的主要短板;技术进步率与配置效率的低下是阻碍西部地区旅游效率提升的关键因素;提高生产前沿技术水平、优化产业规模结构将是推动我国中部地区旅游产业向效率转型的关键要务。

关键词: 旅游经济,效率解构,全要素生产率,随机前沿分析

Abstract: Centering around the efficiency of tourism economic development, this paper adopts the stochastic frontier method (SFA) to conduct an empirical analysis of the tourism economic efficiency level of China’s 31 provincial-level administrative regions (excluding Hong Kong, Macao and Taiwan) from 2005 to 2014, and at the same time, it integrates the efficiency growth deconstruction method of Kumbhakar and Lovell (2000) to conduct a deconstruction study of the growth rate of TFP. The research findings show that the efficiency of China’s tourism industry has obvious regional heterogeneity characteristics of“Stronger East and Weaker West”. The rate of technological progress and the scale efficiency are the main shortcomings that constrain the growth of total factor productivity in the eastern region of China; the lower rate of technological progress and allocation efficiency are the key factors hindering the improvement of tourism efficiency in the western region. To improve the level of technological production frontier and to optimize the scale structure of the industry will be the key tasks to promote the transformation of the tourism industry towards efficiency in the central region of China.

Key words: tourism economy; efficiency deconstruction; total factor productivity; stochastic frontier analysis