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Regional Economic Development in the AI Era: Methods, Opportunities, and Challenges

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  • Robertas Damaševičius

    (Department of Applied Informatics, Vytautas Magnus University, Kaunas, Lithuania)

Abstract

The dawn of the Artificial Intelligence (AI) era presents a plethora of new possibilities for analyzing regional economic development. The present article provides an in-depth exploration of the methods employed in this field, highlighting the immense opportunities that AI offers while also addressing potential challenges. The role of AI is crucial in complex data handling, enabling efficient analyses of intricate regional economic patterns. This capacity is paramount in shaping economic policies and strategies that are reflective of each region's unique needs and potential. The article firstly explores various AI methods used in economic analysis, including but not limited to machine learning, deep learning, and natural language processing. It delves into the application of these methods in discerning development trends, predicting economic shifts, and identifying strategic economic drivers unique to various regions. Subsequently, the potential of AI to transform regional economic analysis is discussed, encompassing its capability to process large and complex datasets, its power to predict future trends based on past and present data, and its ability to aid in strategic decision-making. However, this new era of AI-driven economic analysis is not without challenges. The latter part of this article thus confronts the issues related to data privacy, ethical use of AI, and the necessity of interdisciplinary skills in AI and economics. This exploration contributes to a broader understanding of how AI is transforming the landscape of regional economic development analysis, illuminating both its present use and future implications. By understanding these dynamics, we can better harness the potential of AI to advance economic prosperity in various regions around the globe.

Suggested Citation

  • Robertas Damaševičius, 2023. "Regional Economic Development in the AI Era: Methods, Opportunities, and Challenges," Journal of Regional Economics, Anser Press, vol. 2(2), pages 1-13, October.
    • Handle: RePEc:bba:j00009:v:2:y:2023:i:2:p:1-13:d:243
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    References listed on IDEAS

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    1. Emmanuel Okewu & Sanjay Misra & Jonathan Okewu & Robertas Damaševičius & Rytis Maskeliūnas, 2019. "An Intelligent Advisory System to Support Managerial Decisions for A Social Safety Net," Administrative Sciences, MDPI, vol. 9(3), pages 1-14, August.
    2. Qingwen Li & Guangxi Yan & Chengming Yu, 2022. "A Novel Multi-Factor Three-Step Feature Selection and Deep Learning Framework for Regional GDP Prediction: Evidence from China," Sustainability, MDPI, vol. 14(8), pages 1-21, April.
    3. Simon Blöthner & Mario Larch, 2022. "Economic determinants of regional trade agreements revisited using machine learning," Empirical Economics, Springer, vol. 63(4), pages 1771-1807, October.
    4. ErLe Du & Meng Ji, 2021. "Analyzing the regional economic changes in a high-tech industrial development zone using machine learning algorithms," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-18, June.
    5. Emmanuel Okewu & Sanjay Misra & Rytis Maskeliūnas & Robertas Damaševičius & Luis Fernandez-Sanz, 2017. "Optimizing Green Computing Awareness for Environmental Sustainability and Economic Security as a Stochastic Optimization Problem," Sustainability, MDPI, vol. 9(10), pages 1-17, October.
    6. Sturla F. Kvamsdal & Ivan Belik & Arnt Ove Hopland & Yuanhao Li, 2021. "A Machine Learning Analysis of the Recent Environmental and Resource Economics Literature," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(1), pages 93-115, May.
    7. Ralph P. Hall & Robert Ashford & Nicholas A. Ashford & Johan Arango-Quiroga, 2019. "Universal Basic Income and Inclusive Capitalism: Consequences for Sustainability," Sustainability, MDPI, vol. 11(16), pages 1-29, August.
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