城乡发展及其工业要素对区域经济增长的影响:基于中国省级小组数据的分析
Yulin Zhao1, Junke Li2, Kai Liu2,3
1Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, 430079, China.
Heliyon
|September 10, 2024
概括
大数据通过影响信息流和资源分配而显著影响城乡经济增长,而不是直接. 运输和工业等传统因素也推动了疫情后的经济复苏.
科学领域:
- 经济学 经济学 经济学
- 区域科学 地区科学
- 数据科学数据科学数据科学
背景情况:
- 城乡发展对于经济增长至关重要,但现有的研究忽略了大数据的作用.
- 大数据是一个新兴的因素,对于疫情后的经济复苏和新业务发展至关重要.
研究的目的:
- 调查大数据对后疫情时代城乡经济增长的影响机制.
- 用多维方法分析传统因素和大数据对经济增长的影响.
主要方法:
- 构建了一个多维的因子指标系统,将大数据纳入传统模型.
- 建立并验证了使用单位根,豪斯曼和精度测试的面板回归模型.
- 在中国各省和城市进行了基准回归和异质性分析.
主要成果:
- 面板模型通过了所有测试,回归误差稳定 (<5%).
- 运输,技术和三个主要行业对经济增长产生积极影响 (1%的意义).
- 森林覆盖面增加1%会推动经济增长0.215%;大数据通过信息流和资源分配间接影响增长.
结论:
- 大数据的经济影响是间接的,通过真实行业的信息流和资源配置进行调解.
- 区域异质性存在,在中国东部,中部和西部都有不同的因素影响.
- 调查结果为中国区域经济的合理规划和工业布局提供了政策建议.
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