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<p>The intensifying pressure of global population growth on food security necessitates a transition toward more sustainable agricultural systems. Within this context, mechanization is widely regarded as a key factor in enhancing production efficiency and sustainability. However, the existing research on efficiency and sustainability analysis fails to construct an internal structure to analyze the relationship between mechanization and agricultural production. To address this gap, this study introduces a novel efficiency-evaluation framework that integrates the Benefit-of-the-Doubt model with Network Data Envelopment Analysis. Furthermore, it proposes new concepts of a priority-based coupling coordination indicator and a priority-based Gini coefficient to assess systemic coupling coordination and efficiency inequality. Such work cannot be found in the existing research. Empirically, this study applies the framework to a new mechanization-agriculture sustainability system across Chinese provinces from 2010 to 2019. The results reveal that mechanization plays an increasingly prominent role in the overall sustainable system. However, the analysis also uncovers an important challenge: persistent regional imbalances. The findings underscore the significant role of technological innovation in promoting sustainable agricultural development. Our analysis identifies sources of inefficiency and thus provides decision-makers with effective strategies for sustainable agricultural development.</p>

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Understanding the role of mechanization in promoting sustainable development of China’s agriculture: A new framework of Benefit-of-the-Doubt model and strategy network data envelopment analysis models

  • 期刊论文

  • 发表日期：

    2026年1月27日

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  • Anam Saba Akram,
  • Liqi Hu,
  • Ruchuan Zhang,
  • Yaotian Sun,
  • Aijun Li

摘要

The intensifying pressure of global population growth on food security necessitates a transition toward more sustainable agricultural systems. Within this context, mechanization is widely regarded as a key factor in enhancing production efficiency and sustainability. However, the existing research on efficiency and sustainability analysis fails to construct an internal structure to analyze the relationship between mechanization and agricultural production. To address this gap, this study introduces a novel efficiency-evaluation framework that integrates the Benefit-of-the-Doubt model with Network Data Envelopment Analysis. Furthermore, it proposes new concepts of a priority-based coupling coordination indicator and a priority-based Gini coefficient to assess systemic coupling coordination and efficiency inequality. Such work cannot be found in the existing research. Empirically, this study applies the framework to a new mechanization-agriculture sustainability system across Chinese provinces from 2010 to 2019. The results reveal that mechanization plays an increasingly prominent role in the overall sustainable system. However, the analysis also uncovers an important challenge: persistent regional imbalances. The findings underscore the significant role of technological innovation in promoting sustainable agricultural development. Our analysis identifies sources of inefficiency and thus provides decision-makers with effective strategies for sustainable agricultural development.