تاثیر هوش مصنوعی بر ارزش افزوده رشته فعالیت‌های منتخب صنعتی در ایران

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار موسسه مطالعات و پژوهش‌های بازرگانی

2 هیات علمی/موسسه مطالعات و پژوهش‌های بازرگانی

10.22075/jem.2025.36740.1987

چکیده

هدف مطالعه حاضر، بررسی تأثیرات هوش مصنوعی بر ارزش افزوده 10 رشته فعالیت صنعتی منتخب در ایران (با محوریت نیروی کار)، به تفکیک کدهای دو رقمی ISIC ویرایش چهارم در طی دوره 1400-1397، با استفاده از رویکرد پانل دیتا است. برای تحقق این هدف، چهار مدل با نیروی کارهای مختلف تخمین زده شد. نتایج نشان داد که کمترین کشش ارزش افزوده صنایع منتخب نسبت به هوش مصنوعی (مدل با نیروی کار ساده) 19/0 و بیشترین کشش ارزش افزوده این صنایع نسبت به هوش مصنوعی (مدل با نیروی کار تکنسین) 25/0 است. در نتیجه اثرگذاری هوش مصنوعی بر ارزش افزوده صنایعی که از نیروی کار ماهرتر استفاده می‌کند، بیشتر از سایر صنایع است. از این رو، تدوین سیاست‌ها و استراتژی‌های مؤثر برای بهره‌مندی صحیح از مزایای پیشرفت‌های مبتنی بر هوش مصنوعی در صنایع کشور و همچنین استفاده از نیروی کار ماهرتر و آشنا به فناوری­های به­روز توصیه می­شود.

کلیدواژه‌ها

عنوان مقاله [English]

The impact of artificial intelligence on the added value ‎of selected industrial activities in Iran

نویسندگان [English]

  • Seyed Saleh Akbar Mousavi 1
  • Mansour Asgari 2
1 Assistant Professor at Institute for Trade Studies and Research
2 Associate Professor at Institute for Trade Studies and Research
چکیده [English]

This study aims to investigate the impact of artificial intelligence on value added in 10 selected industrial sectors in Iran (focusing on labor), disaggregated by the two-digit ISIC codes (Revision 4), over the period 2017-2021 using a panel data approach. To do this, four models with different labor inputs were estimated. The results showed that the lowest elasticity of value added in the selected industries towards artificial intelligence (model with simple labor) was 0.19, and the highest elasticity of value added in these industries towards artificial intelligence (model with technician labor) was 0.25. Consequently, industries utilizing a more skilled workforce experience a greater impact of artificial intelligence on value-added. Therefore, developing effective policies and strategies to benefit from the advantages of AI-based advancements in the country's industries and using more skilled labor familiar with up-to-date technologies is recommended.

کلیدواژه‌ها [English]

  • Artificial Intelligence
  • Industrial Activities
  • Value-added‎

مراجع

Acemoglu, D., & Restrepo, P. (2018). The race between man and machine: Implications of technology for growth, factor shares, and employment. American economic review, 108(6), 1488-1542.
Aghion, P., Jones, B. F., & Jones, C. I. (2018). Artificial intelligence and economic growth. In The economics of artificial intelligence: An agenda (pp. 237–282). University of Chicago Press.
Aldasoro, I., Doerr, S., Gambacorta, L., & Rees, D. (2024). The impact of artificial intelligence on output and inflation (No. 1179). Bank for International Settlements.
Bandari, V. (2019). The impact of artificial intelligence on the revenue growth of small businesses in developing countries: an empirical study. Reviews of Contemporary Business Analytics, 2(1), 33-44.
Graetz, G., & Michaels, G. (2018). Robots at work. Review of Economics and Statistics, 100(5), 753-768.
Haghighat, J., & Akbar Mousavi, S. S. (2019). Applied econometrics with JMulTi, EViews 10 and Stata 15.1 softwares, Nooreelm publications, Tehran, Iran. (In Persian)
Krishnan, L. R. K. (2022). Impact of Using AI in Manufacturing Industries. Journal of the International Academy for Case Studies, 28.
Liu, J., Jiang, X., Shi, M., & Yang, Y. (2024). Impact of artificial intelligence on manufacturing industry global value chain position. Sustainability, 16(3), 1341.
Lu, C. H. (2021). The impact of artificial intelligence on economic growth and welfare. Journal of Macroeconomics, 69, 103342.
Makridakis, S. (2017). The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms. Futures, 90, 46-60.
Oxford Insights (2019). Government AI Readiness Index. Canada.
Oxford Insights (2020). Government AI Readiness Index. Canada.
Oxford Insights (2021). Government AI Readiness Index. Canada.
Oxford Insights (2022). Government AI Readiness Index. Canada.
Oxford Insights (2023). Government AI Readiness Index. Canada.
Saba, C. S., & Ngepah, N. (2024). The impact of artificial intelligence (AI) on employment and economic growth in BRICS: Does the moderating role of governance Matter?. Research in Globalization, 8, 100213.
Saba, C. S., & Pretorius, M. (2024). The impact of artificial intelligence (AI) investment on human well-being in G-7 countries: Does the moderating role of governance matter?. Sustainable Futures, 7, 100156.
Shiri, M. & Fotros, M. H. (2024). Application of artificial intelligence in predicting GDP and unemployment rate, and their mutual impact on the economy of Iran. Journal of Applied Economics Studies in Iran, 12(48), 107-132.
Smith, A., & Anderson, J. (2014). AI, Robotics, and the Future of Jobs. Pew Research Center, 6.
Statistical Centre of Iran. (2024). Definitions and Concepts: Fixed Capital Formation, Tehran, Iran. (In Persian)
Statistical Centre of Iran. (2024). Statistical tables of industrial firms with 50 or more employees by province and activity, Tehran, Iran (In Persian).
The World Bank, World Development Indicators, Available: https://databank.worldbank.org/indicator/NY.GDP.MKTP.KD.ZG/1ff4a498/Popular-Indicators (Accessed, August 2024).
Zhao, P., Gao, Y., & Sun, X. (2022). How does artificial intelligence affect green economic growth?—Evidence from China. Science of The Total Environment, 834, 155306.
مدلسازی اقتصادسنجی
دوره 10، شماره 1 - شماره پیاپی 37
اردیبهشت 1404
صفحه 101-122

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