The Impact of Artificial Intelligence on High-Quality Economic Development in the Yangtze River Delta Region
DOI: https://doi.org/10.62381/E244802
Author(s)
Jing Yang, Qianyu Shen, Yaru Liu
Affiliation(s)
College of Finance and Economics, Jiangxi Normal University, Nanchang, Jiangxi, China
Abstract
This paper employs panel data from 41 cities in the Yangtze River Delta (YRD) region from 2010 to 2019 to investigate the impact of artificial intelligence (AI) on the high-quality development of the economy in terms of innovation, greenness and coordination. The findings demonstrate that AI has a considerable impact on the advancement of economic innovation, green development and coordinated development in the YRD region. This has a notable positive effect on the quality of economic development, with the region at the forefront of the country in this regard. Further analysis shows that the Yangtze River Delta region is a follower of the eastern region in terms of economic innovation and development, but a leader in the central and western regions, and a leader in coordinated economic development.
Keywords
Artificial Intelligence; High-Quality Economic Development; Yangtze River Delta Region; Innovative Development; Coordinated Development
References
[1]Li Wenyong. Measurement on high-quality development level of regional economy in China-Taking the Yangtze River Delta region as an example. Statistics and Decision Making, 2022, (13): 21-25.
[2]Li Ping, Fu Yifu, Zhang Yanfang. Can the productive service industry become new momentum for China's economic growth. China Industrial Economy, 2017, (12): 5-21.
[3]Liu Zhibiao, Han Yonghui. Structural transformation, TFP and high-quality development. Management World, 2020, (07): 15-29.
[4]Feng Xiaohua, Qiu Siyuan. Measurement and convergence of high-quality economic development in the Yangtze River Delta cities. East China Economic Management, 2022, (11): 28-43.
[5]Huang Ping, Xuan Changyong. Financial agglomeration, spatial spillover and high-quality economic development. Journal of Jiangsu University (Social Science Edition), 2021, (06): 49-65.
[6]Nie Changfei, Chen Zhi, Feng Yuan. Urban digital infrastructure construction and high-quality economic development. Economic Issues, 2023, (10): 26-35.
[7]Wang Han. Services liberalisation, environmental regulation and high-quality economic development. Statistics and Decision Making, 2023, (16): 121-125.
[8]McCarthy J, Minsky M L, Rochester N, et al. A proposal for the dartmouth summer research project on artificial intelligence, august 31, 1955. AI magazine, 2006(4):12-12.
[9]Cockburn I M, Henderson R, Stern S. The impact of artificial intelligence on innovation. Cambridge, MA, USA: National Bureau of Economic Research, 2018.
[10]Zou Tieding, Xu Yingqin. Artificial intelligence, industrial advancement and economic growth. Western China, 2022(05): 24-36.
[11]Chen Nan, Cai Yuezhou. AI, accommodating capacity and economic growth in China-The new “Solow Paradox” and an empirical analysis using the AI patent data. Economic Perspectives, 2022(11): 39-57.
[12]Chen Nan, Cai Yuezhou. AI innovation and coordinated development of regional economy-Analysis of technological development and regional impact using patent data. Research on Economics and Management, 2023, 44(03): 16-40.
[13]Cheng Chengping, Chen Zhi. Theoretical and empirical research on the mechanism of artificial intelligence promoting China's economic growth. On Economic Problems, 2021(10): 8-17.
[14]Gao Zhigang, Tian Feng, Han Yanling, et al. Theoretical mechanism and empirical analysis of the impact of artificial intelligence on the high-quality development of China's regional economy: Taking industrial robots as an example. Science and Technology Management Research, 2023, 43(07): 182-192.
[15]Chen Fang, Liu Songtao. Can artificial intelligence technology become a new engine of urban green development. Journal of Nanjing University of Finance and Economics, 2022(03): 78-86.
[16]Zhou Jieqi, Chen Da, Xia Nanxin. Artificial intelligence, industrial structure optimization and green development efficiency: Theoretical analysis and empirical evidence. Modern Finance and Economics (Journal of Tianjin University of Finance and Economics), 2023, 43(04): 96-113.
[17]Wei Dongming, Gu Naihua, Han Yonghui. Does the artificial intelligence promote the upgrading of industrial structure-Empirical research based on industrial robot data of China. Finance & Economics, 2021(10): 70-83.
[18]Shi Dan, Ye Yunling. Artificial intelligence, employment structure and high-quality development. Contemporary Finance & Economics, 2023(05): 3-14.
[19]Zhang Junkuo, Hou Yongzhi, Liu Peilin, et al. The goals and strategy path of high-quality development. Management World, 2019, (07): 1-7.
[20]Zhang Yinghao, Wang Mingfeng, Kuang Aiping, et al. Multidimensional mechanisms and spatial effects of digital economy enabling urban innovation and development in China. Progress in Geography, 2023, 42(12): 2283-2295.
[21]Wang Wei. A study on the measurement and evaluation of the high-quality development of China's economy. East China Economic Management, 2020, (06): 1-9.
[22]Kong Lingying, Dong Yiting, Zhao Xian. Digital economy, resource mismatch and high-quality economic development: Empirical analysis based on data from 261 cities in China. China Science and Technology Forum, 2023, (05): 123-133.
[23]Gao Zhigang, Ke Han. A comparative study on the high-quality development of economy in the border areas of China. Economy, 2020, (02): 23-35, 2.
[24]Ma Shuyan, Zhao Zuoxiang, Xu Xin, et al. Research on the innovation efficiency and its influencing factors of national high-tech zones in three major urban agglomerations in Eastern China. Science and Technology Management Research, 2021, 41(21): 1-9.
[25]He Xionglang, Chen Xianqing. The impact of population mobility on regional innovation capacities and its spatial effect: A case study of 70 cities in three urban agglomerations of the Yangtze River Economic Belt. West Forum, 2023, 33(04): 109-124.
[26]Sun Tieshan, Liu Yuqi. Explanation on characteristics of Beijing-Tianjin-Hebei urban network and its implications to regional coordinated development: Based on the comparisons among three major urban agglomerations in China. Hebei Academic Journal, 2023, 43(03): 153-161.
[27]Tang Xiaochao. Can urban agglomeration integration policies alleviate agglomeration shadow? Based on county-level data of the three major urban agglomerations in the Yangtze River Economic Belt. World Regional Studies:1-12.