中国旅游产业集聚对经济增长的非线性效应研究——基于省际面板数据

4区 医学
Lin Li
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引用次数: 0

摘要

目的:旅游产业集聚对经济增长的非线性影响研究较少。在此基础上,本文利用2007-2017年各省面板数据分析了中国旅游产业集聚的空间特征,并运用阈值回归模型分析了我国旅游产业集聚对经济增长的促进作用。研究结果表明:中国旅游业呈现出明显的空间集聚特征。产业集聚程度较高的省份主要是北京、上海、云南、广东、贵州、四川和山西;中国旅游产业集聚对经济增长的非线性效应显著。当经济发展水平低于10.552的阈值时,旅游产业集聚促进经济增长。当经济发展水平大于10.552的阈值时,旅游产业集聚对经济增长的影响为负。建立了中国旅游产业集聚的威廉姆森假说。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on the Non-linear Effect of Tourism Industry Agglomeration on Economic Growth in China——Based on Inter-provincial Panel Data
Objectives: There are few studies on the non-linear effect of tourism industry agglomeration on economic growth. Based on this, this paper uses the panel data of provinces in 2007-2017 to analyze the spatial characteristics of China's tourism industry agglomeration, and uses the threshold regression model to analyze the role of China's tourism industry agglomeration in promoting economic growth. The results show that: China's tourism industry shows obvious characteristics of spatial agglomeration. The provinces with high degree of industrial agglomeration are mainly Beijing, Shanghai, Yunnan, Guangdong, Guizhou, Sichuan and Shanxi; The non-linear effect of China's tourism industry agglomeration on economic growth is significant. When the level of economic development is less than the threshold value of 10.552, tourism industry agglomeration promotes economic growth. When the level of economic development is greater than the threshold value of 10.552, the impact of tourism industry agglomeration on economic growth is negative. Williamson hypothesis of China's tourism industry agglomeration is established.
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