人工智能对民族地区高质量发展的影响研究

Research on the Influence of Artificial Intelligence on High-quality Development in Ethnic Areas

新时代我国经济发展的基本特征表现为由高速增长阶段转向高质量发展阶段。民族地区经济虽已取得了持续向好的发展态势,但同全国其他非民族地区相比还有较大差距,根据东部地区发展经验可知,民族地区经济实现高质量发展需要依赖人工智能进行赋能。从宏观经济、中观产业、微观企业三个视角构建了民族地区高质量发展的评价指标体系,选取7个民族省份2004—2018年的面板数据,运用固定效应模型,对人工智能影响民族地区高质量发展进行了实证分析。结果表明人工智能技术能够显著促进民族地区实现高质量发展,政府干预、基础设施水平、对外开放水平对民族地区高质量发展存在显著正向影响,城市化发展水平对民族地区高质量发展存在显著负向影响。应充分利用人工智能技术从宏观经济、中观产业、微观企业三个角度提出相应的政策建议,促进民族地区实现高质量发展。

The basic characteristics of China’s economic development in the new era are from high-speed growth stage to high-quality development stage.Although the economy of ethnic minority areas has achieved a sustained and good development trend,there is still a large gap compared with other non-ethnic areas in China.According to the development experience of the eastern region,the realization of high-quality economic development in ethnic minority areas needs to rely on artificial intelligence.This paper constructs the evaluation index system of high-quality development in ethnic minority areas from the perspectives of macro economy,meso industry and micro enterprise,selects the panel data of seven ethnic provinces from 2004 to 2018,and uses the fixed effect model to make an empirical analysis on the impact of artificial intelligence on high-quality development in Ethnic Minority Areas.The results show that artificial intelligence technology can significantly promote the high-quality development in ethnic minority areas.Government intervention,infrastructure level and opening-up level have a significant positive impact on the high-quality development in ethnic minority areas,and urbanization development level has a significant negative impact on the high-quality development in ethnic minority areas.Finally,we should make full use of artificial intelligence technology to put forward corresponding policy suggestions from the perspectives of macro economy,meso industry and micro enterprise,in order to promote the high-quality development of ethnic minority areas.