Search

Research on AI and High-Quality Development of Urban Economy

Author(s)

Xiaoran Shen

Affiliation(s)

Franke College of Business, Northern Arizona University, America

Abstract

This research explores the role of artificial intelligence (AI) in promoting high-quality urban economic development. It examines how AI impacts urban economies through innovation and marketization effects, using both theoretical analysis and practical case studies. The study identifies key issues in urban management, such as low enforcement efficiency, insufficient interdepartmental coordination, and inadequate management in non-central urban areas. It also reviews international and domestic experiences in applying AI for urban management, highlighting successful models like Baltimore’s CitiStat program and Beijing’s grid-based management system. The research concludes that AI has a significant and regionally heterogeneous impact on urban development, with urban innovation and marketization levels acting as mediating factors. Policy recommendations include optimizing AI industrial layouts, enhancing regional technological capacity, and increasing R&D investment to boost urban innovation capabilities.

Keywords

Artificial Intelligence; High-Quality Development; Urban Economy; Regional Disparities; Innovation

References

[1] Chen Jin, Yang Zhen, Zhu Ziqin. "Breaking Through 'Choke Point' Technologies During the 14th Five-Year Plan: Identification Framework, Strategic Shift, and Breakthrough Path" [J]. Reform, 2020, (12): 5-15. [2] Xi Jinping. Speech at the Special Seminar for Provincial and Ministerial Leaders on Studying and Implementing the Spirit of the Fifth Plenary Session of the 18th Central Committee of the Communist Party of China [N]. People's Daily, 2016-05-10 (002). [3] Cai Fang. Population Change, Demographic Dividend, and the Lewis Turning Point [J]. Economic Research, 2010, 45(04): 4-13. [4] Zhou Wen, Xu Lingyun. On New Productive Forces: Connotations, Characteristics, and Key Focuses [J]. Reform, 2023, (10): 1-13. [5] Wang Haihan, Wang Lei, Ning Di. Focusing on "New Productive Forces" [N]. China Youth Daily, 2023-12-19 (005). [6] Ji Yushan, Dai Shuoping, Yang Bingyu, et al. Developing New Productive Forces to Promote High-Quality Economic Development in China [J]. Industrial Technology Economy, 2024, 43(02): 3-28. [7] Zou Weiyong, Xiong Yunjun. The Spatiotemporal Evolution Characteristics and Influencing Factors of Artificial Intelligence Development in Chinese Cities [J]. Geographical Science, 2022, 42(07): 1207-1217. [8] Shan Jingjing. Promoting Urban Renewal for High-Quality Development [N]. Economic Daily, 2020-11-27 (011). [9] Marx, Engels. The Social Relations of People Are the Source of Social Consciousness [J]. Petrochemical Political Research, 2012, (05): 5. [10] Wang Huan, Yang Yuling. The Logical Progression of Marx’s Thought on Productive Forces and Its Practical Implications [J]. Journal of Beijing Institute of Technology (Social Science Edition), 2024, 26(01): 1-11. [11] Sun Zao, Hou Yulin. The Impact of Artificial Intelligence Development on Total Factor Productivity in Industry—An Empirical Study Based on China’s Manufacturing Industry [J]. Economist, 2021, (01): 32-42. [12] Du Chuanzhong, Cao Xiaoxi, Ren Junhui. Research on the Mechanism and Effect of Artificial Intelligence on China's Total Factor Productivity [J]. Nankai Economic Research, 2024, (02): 3-24. [13] Gao Hongshen, Wang Bin. Regional Economics [M]. China Renmin University Press, 2022. 59-67. [14] Xi Jinping. Holding High the Great Banner of Socialism with Chinese Characteristics and Uniting to Build a Modern Socialist Nation [N]. People's Daily, 2022-10-26 (001). [15] Autor D H, Levy F, Murnane R J. The Skill Content of Recent Technological Change: An Empirical Exploration [J]. The Quarterly Journal of Economics, 2003, 118(4): 1279-1333. [16] Acemoglu D, Restrepo P. The Race Between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment [J]. American Economic Review, 2018, 108(6): 1488-1542. [17] Cockburn I M, Henderson R, Stern S. The Impact of Artificial Intelligence on Innovation: An Exploratory Analysis [M]//The Economics of Artificial Intelligence: An Agenda. University of Chicago Press, 2018: 115-146. [18] Ren Baoping. Economic Growth Quality: Theoretical Explanation, Basic Propositions, and Ethical Principles [J]. Academic Monthly, 2012, 44(02): 63-70. [19] He Qiang. Factor Endowment, Internal Constraints, and China’s Economic Growth Quality [J]. Statistical Research, 2014, 31(01): 70-77. [20] Jin Te. Economic Research on “High-Quality Development” [J]. China Industrial Economics, 2018, No.361(04): 5-18. [21] Liu Zhibiao. Understanding High-Quality Development: Basic Features, Supporting Elements, and Current Key Issues [J]. Academic Monthly, 2018, 50(07): 39-45. [22] Zhang Longpeng, Zhang Shuangzhi. Technological Empowerment: The Technological Innovation Effect of Artificial Intelligence and Industrial Integration Development [J]. Finance and Economics Science, 2020, (06): 74-88. [23] Raisch S, Krakowski S. Artificial Intelligence and Management: The Automation-Augmentation Paradox [J]. Academy of Management Review, 2021, 46(1): 192-210. [24] Aghion P, Antonin C, Bunel S. Artificial Intelligence, Growth, and Employment: The Role of Policy [J]. Economie et Statistique/Economics and Statistics, 2019 (510-511-512): 150-164. [25] Mellacher P, Scheuer T. Wage Inequality, Labor Market Polarization, and Skill-Biased Technological Change: An Evolutionary (Agent-Based) Approach [J]. Computational Economics, 2021, 58(2): 233-278. [26] Acemoglu D, Restrepo P. Robots and Jobs: Evidence from US Labor Markets [J]. Journal of Political Economy, 2020, 128(6): 2188-2244. [27] Agrawal A, Gans J S, Goldfarb A. Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction [J]. Journal of Economic Perspectives, 2019, 33(2): 31-50. [28] Korinek A, Stiglitz J E. Artificial Intelligence, Globalization, and Strategies for Economic Development [R]. National Bureau of Economic Research, 2021. [29] Li Bianhua. New Growth Theory and Improving China’s Economic Growth Quality [J]. Economic System Reform, 2004 (2): 23-26. [30] Chao Xiaojing, Hui Kang. Measuring China’s Economic Growth Quality [J]. Quantitative Economics and Technical Economics Research, 2009 (6): 75-86. [31] He Wei. Comprehensive Evaluation of Regional Economic High-Quality Development in China [J]. Journal of Zhongnan University of Economics and Law, 2013 (04): 49-56. [32] Li Jinchang, Shi Longmei, Xu Aiting. Discussion on the Evaluation Index System for High-Quality Development [J]. Statistical Research, 2019, 36(01): 4-14. [33] Li Mengxin, Ren Baoping. Comprehensive Evaluation of High-Quality Development in China in the New Era and Path Selection [J]. Finance and Economics Science, 2019, (05): 26-40. [34] Sun Hao, Gui Heqing, Yang Dong. Measuring and Evaluating High-Quality Economic Development in China’s Provincial Regions [J]. Zhejiang Social Sciences, 2020 (08): 4-14. [35] Hanson R. Economic Growth Given Machine Intelligence [R]. Technical Report, University of California, Berkeley, 2001. [36] Zeira J. Workers, Machines, and Economic Growth [J]. The Quarterly Journal of Economics, 1998, 113(4): 1091-1117. [37] Cao Jing, Zhou Yalin. Research Progress on the Impact of Artificial Intelligence on the Economy [J]. Economic Dynamic, 2018, (01): 103-115. [38] Acemoglu D, Restrepo P. The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand [J]. Cambridge Journal of Regions, Economy, and Society, 2020, 13(1): 25-35. [39] Cai Yuezhu, Chen Nan. Artificial Intelligence and High-Quality Growth, High-Quality Employment under the New Technological Revolution [J]. Quantitative Economics and Technical Economics Research, 2019, 36(05): 3-22.