首页|边境县域产业高质量发展水平测度及影响因素研究——基于西藏县域面板数据的实证分析

边境县域产业高质量发展水平测度及影响因素研究——基于西藏县域面板数据的实证分析

Research on the Measurement and Influencing Factors of High-quality Industrial Development Level in Border Counties——An Empirical Analysis based on the Panel Data of Xizang Counties

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第五次西藏工作座谈会后,中央、西藏自治区党委和政府在边境县域实施了系列重要行动和举措,以推动边境县域产业高质量发展.本研究使用2005-2020年西藏边境县域面板数据,以产业高质量发展水平为研究对象.首先,使用熵权法对边境县域产业高质量发展水平进行测度;其次,采用嵌入熵权法的灰色关联度模型分析各因素与边境县域产业高质量发展水平之间的关联性;再次,使用固定效应面板模型进一步分析边境县域产业高质量发展的影响因素;最后,得出相关结论并提出促进西藏边境县域产业高质量发展的政策建议,以期为加快构建我国边境县域产业高质量发展新格局提供参考.
After the Fifth Xizang Work Forum,the Central Committee,the Party Committee and the Government of the Xizang Autonomous Region have implemented a series of important actions and initiatives in border counties to promote the high-quality industrial development in border counties.This study uses the panel data from 2005 to 2020 in Xizang border counties,and takes the high-quality industrial development level as the research object.Firstly,the entropy weight method is used to measure the high-quality development level of industries in border counties.Sec-ondly,the grey correlation model of the embedded entropy weight method is used to analyze the correlation between each factor and the high-quality development level of industries in border counties.Thirdly,the fixed-effect panel model is used to further analyze the influencing factors of high-quality industrial development in border counties.Fi-nally,relevant conclusions are drawn and policy suggestions are put forward to promote the high-quality development of industries in border counties in Xizang,in order to provide reference for accelerating the construction of a new pat-tern of high-quality development of industries in China's border counties.

Development LevelInfluencing FactorsBorder CountyEntropy Weight-gray Correlation Degree

徐爱燕、李娜、刘丹阳

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西藏大学经济与管理学院,拉萨 850000

发展水平 影响因素 边境县域 熵权-灰色关联度

西藏自治区科技计划西藏自治区哲学社会科学专项中央财政支持地方高校改革发展专项(2022)

XZ202301ZY0001F22CJL0200060859

2024

西藏科技
西藏科技信息研究所

西藏科技

影响因子:0.202
ISSN:1004-3403
年,卷(期):2024.46(3)
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