产业结构优化升级与旅游效率——基于2003—2022年省际面板数据

Industrial Structure Upgrading and Tourism Efficiency:Based on Inter-provincial Panel Data from 2003 to 2022

选取2003—2022年中国内地除西藏以外的30个省份的地区产业结构优化升级和旅游效率的面板数据,采用空间面板杜宾模型(SPDM)对产业结构合理化、高度化与旅游效率进行检验。结果表明:(1)我国四大区域的产业结构优化升级水平从高到低依次是东部地区、中部地区、西部地区、东北地区;旅游效率从高到低依次为东部地区、东北地区、中部地区、西部地区,西部地区的旅游发展仍有十分显著的上升空间及潜力。(2)产业结构优化升级与旅游效率的空间关联特征中,产业结构合理化空间自相关性十分显著,产业结构高度化存在显著的空间依赖性,旅游效率在全国范围内呈现集聚趋势。产业结构优化升级与旅游效率的局部空间关联特征存在显著的空间自相关性,聚类模式以高高或低低为主。(3)旅游效率受到产业结构合理化的显著促进作用及正向空间溢出效应的影响;旅游效率受到产业结构高度化的正向影响,同时也产生了负向空间溢出效应;旅游效率受到经济发展、城市化率、旅游资源禀赋、交通基本条件、旅游要素多寡、信息化程度、市场容量等控制变量的影响,且存在不同程度的差异。

Selects the panel data of regional industrial structure optimization and upgrading and tourism efficiency of 30 provinces in China mainland except Xizang from 2003 to 2022,and tests the rationalization,optimization and tourism efficiency of industrial structure through SPDM model.The results show that:(1)The distribution of industrial structure optimization and upgrading level in China’s four major regions from high to low is the eastern,central,western and northeastern part;the tourism efficiency of the four regions from high to low is the eastern,northeastern,central and western,indicating that the tourism development in the western part still has a very significant upward space and potential.(2)In the spatial correlation characteristics of industrial structure optimization and upgrading and tourism efficiency,the spatial autocorrelation of industrial structure rationalization is very significant,the industrial structure advancement has significant spatial dependence,and the tourism efficiency shows a nationwide agglomeration trend.Local spatial correlation characteristics between industrial structure optimization and upgrading and tourism efficiency has a significant spatial autocorrelation,and the clustering model is mainly high or low.(3)Tourism efficiency is significantly promoted by the rationalization of industrial structure and the positive spatial spillover effect.Tourism efficiency is affected by control variables such as economic development,urbanization rate,tourism resource endowment,basic traffic conditions,number of tourism elements,degree of informatization,and market capacity,and there are differences to varying degrees.