Artificial Intelligence and Food Processing Firms Productivity: Evidence from China

Sustainability, Journal Year: 2024, Volume and Issue: 16(14), P. 5928 - 5928

Published: July 11, 2024

Amidst the tremendous evolution of digital economy and expedited establishment a new development paradigm, use artificial intelligence (AI) technologies holds significant importance in achieving superior economic development. While much previous research focused on macroeconomic impact AI, this study examined how AI technology affects food processing firm performance, productivity, labor skill structure at level. This utilized panel data from listed enterprises Shanghai Shenzhen spanning 2010 to 2021, performing textual analysis annual reports companies then creating enterprise-level indicators empirically examine influence applications enterprise performance its underlying mechanisms. The findings indicate substantial improvement business due application intelligence, which is conclusion corroborated through series stability tests. Exploring channels mechanisms, revealed that AI-driven advancements production stimulated requirement for highly skilled labor, thereby inducing shifts force’s structure. Further investigation demonstrated contributed enhancing total factor consequently bolstering overall performance. A heterogeneity showed firm-level factors, such as nature property rights intensity, had an In addition, geographic location time year company also impacts productivity benefits intelligence. deepened cognition understanding role played by process micro-enterprise level provided suggestions promoting level, will facilitate transformation further augment efficiency.

Language: Английский

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Artificial Intelligence, Technological Innovation, and Employment Transformation for Sustainable Development: Evidence from China

Sustainability, Journal Year: 2025, Volume and Issue: 17(9), P. 3842 - 3842

Published: April 24, 2025

With the rapid advancement of artificial intelligence (AI) technology, global employment structure is undergoing profound transformations, significantly impacting social sustainability. This study utilizes panel data from 30 Chinese provinces spanning years 2010 to 2022 and applies a two-way fixed-effects model analyze impact AI development on skills structure. The findings indicate that advancements in technology suppress demand for low-skilled labor while markedly enhancing both middle- high-skilled labor. threshold effect analysis reveals nonlinear relationship between workers. Mediation tests demonstrate technological innovation serves as mediating factor AI’s low- middle-skilled but has no significant heterogeneity further indicates negative female more severe than males, its positive male workers significant. Additionally, effects are mainly observed labor-intensive provinces, with minimal influence capital-intensive areas. suggests harnessing potential promote proactively mitigating disruptive market through enhanced research support, strengthened security, coordinated regional economic development, thereby advancing sustainable progress.

Language: Английский

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Innovating for Sustainability: Employment Impacts of Diverse Environmental Regulations and Incentives

Journal of the Knowledge Economy, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 12, 2024

Language: Английский

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