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<p>Agricultural digital intelligence (ADI) and agricultural greening (AG) serve as two crucial drivers of agricultural modernization, and their coupling coordination is essential for agricultural transformation. Based on provincial panel data from China between 2014 and 2023, this study examines the coupling coordination relationship between ADI and AG. The main findings are as follows: (1) Both ADI and AG exhibit sustained growth over time. Their coupling coordination also shows continuous improvement, reaching an initial coordination stage by 2023; (2) disparities in coupling coordination among provinces have continued to widen, with inter-regional differences being the primary contributing factor. The disparities also exhibit spatial clustering, characterized by coexisting high–high and low–low aggregations; (3) marked differences are observed in the spatiotemporal evolutionary paths across China’s four major regions. The eastern region displays noticeable fluctuations and large path movements. The central region shows steady and stable development. The western region exhibits short but volatile paths. And the northeastern region remains relatively stable but shows a tendency toward lagging behind. Based on these findings, corresponding policy recommendations are proposed at both the national and regional levels.</p>

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Convergence or divergence? Spatiotemporal coupling coordination analysis between digital intelligence and greening in Chinese agriculture

  • 期刊论文

  • 发表日期：

    2026年5月13日

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  • Chulin Pan,
  • Shiyi Shen,
  • Hongpeng Guo,
  • Yufeng Jiang,
  • Shuang Xu

摘要

Agricultural digital intelligence (ADI) and agricultural greening (AG) serve as two crucial drivers of agricultural modernization, and their coupling coordination is essential for agricultural transformation. Based on provincial panel data from China between 2014 and 2023, this study examines the coupling coordination relationship between ADI and AG. The main findings are as follows: (1) Both ADI and AG exhibit sustained growth over time. Their coupling coordination also shows continuous improvement, reaching an initial coordination stage by 2023; (2) disparities in coupling coordination among provinces have continued to widen, with inter-regional differences being the primary contributing factor. The disparities also exhibit spatial clustering, characterized by coexisting high–high and low–low aggregations; (3) marked differences are observed in the spatiotemporal evolutionary paths across China’s four major regions. The eastern region displays noticeable fluctuations and large path movements. The central region shows steady and stable development. The western region exhibits short but volatile paths. And the northeastern region remains relatively stable but shows a tendency toward lagging behind. Based on these findings, corresponding policy recommendations are proposed at both the national and regional levels.