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<p>Industrial robots (IRS) are a crucial component of current industrial systems, serving as a vital piece of equipment for improving agricultural productivity, transformation, and upgrading. It is also a critical step towards achieving high-quality agricultural development. This study employed regression analysis and the DEA-Malmquist index measurement to investigate the influence mechanism and heterogeneity of IRS application on agricultural total factor productivity (ATFP), using 286 prefecture-level data from China collected between 2003 and 2017. First, empirical studies indicate that the utilization of industrial robots significantly increases agricultural total factor productivity. Second, in developed eastern regions, megacities, and contemporary agricultural demonstration areas, the utilization of industrial robots has a more substantial positive impact on total factor production in agriculture. Ultimately, increased total factor production in agriculture results from the deployment of industrial robots. Lastly, through agricultural mechanization, technological advancements, improved technical efficiency, and equitable financing, the deployment of industrial robots enhances total factor production in agriculture. The article’s findings contribute to a deeper understanding of the role of robots in total factor productivity in agriculture and provide relevant policy recommendations for guiding the advancement of artificial intelligence technology and promoting superior agricultural development.</p>

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Robots and agricultural total factor productivity: evidence from 286 cities in China

  • 期刊论文

  • 发表日期：

    2025年7月19日

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  • Bowen Li,
  • Cai Zhou,
  • Wenhui Su,
  • Yanchun Wang,
  • Zhiran Peng

摘要

Industrial robots (IRS) are a crucial component of current industrial systems, serving as a vital piece of equipment for improving agricultural productivity, transformation, and upgrading. It is also a critical step towards achieving high-quality agricultural development. This study employed regression analysis and the DEA-Malmquist index measurement to investigate the influence mechanism and heterogeneity of IRS application on agricultural total factor productivity (ATFP), using 286 prefecture-level data from China collected between 2003 and 2017. First, empirical studies indicate that the utilization of industrial robots significantly increases agricultural total factor productivity. Second, in developed eastern regions, megacities, and contemporary agricultural demonstration areas, the utilization of industrial robots has a more substantial positive impact on total factor production in agriculture. Ultimately, increased total factor production in agriculture results from the deployment of industrial robots. Lastly, through agricultural mechanization, technological advancements, improved technical efficiency, and equitable financing, the deployment of industrial robots enhances total factor production in agriculture. The article’s findings contribute to a deeper understanding of the role of robots in total factor productivity in agriculture and provide relevant policy recommendations for guiding the advancement of artificial intelligence technology and promoting superior agricultural development.