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<p>Agricultural technology innovation serves as a pivotal driver in facilitating the advancement of high-quality agriculture. Analyzing the spatial distribution of China’s agricultural technology innovation capacities (ATICs) facilitates the identification of regional innovation strengths and weaknesses, thereby enabling precise policy responses. Utilizing panel data spanning 2004 and 2019 across 30 provincial-level divisions in China, this study employs grey relational analysis to select indicators, evaluates ATICs using the entropy weight method, examines α-convergence of ATICs, and decomposes spatial disparities in ATICs using Dagum Gini coefficient. The findings indicate that ATICs in China are generally low and unevenly developed. Moreover, the disparities in ATICs between less developed and more advanced provincial-level divisions is widening. From a regional perspective, ATICs exhibits disparities both within and between regions. Inter-regional disparities are the primary contributors to national inequality in ATICs. Notably, the largest disparity exists between the east China and west China. Therefore, it is necessary to develop region-specific ATICs growth strategies and promote the coordinated development of agricultural technology innovation nationwide in China.</p>

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Provincial agricultural technology innovation capacity and regional disparities in China: a comprehensive evaluation

  • 期刊论文

  • 发表日期：

    2025年8月22日

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  • Xuan Wang,
  • Junbiao Zhang

摘要

Agricultural technology innovation serves as a pivotal driver in facilitating the advancement of high-quality agriculture. Analyzing the spatial distribution of China’s agricultural technology innovation capacities (ATICs) facilitates the identification of regional innovation strengths and weaknesses, thereby enabling precise policy responses. Utilizing panel data spanning 2004 and 2019 across 30 provincial-level divisions in China, this study employs grey relational analysis to select indicators, evaluates ATICs using the entropy weight method, examines α-convergence of ATICs, and decomposes spatial disparities in ATICs using Dagum Gini coefficient. The findings indicate that ATICs in China are generally low and unevenly developed. Moreover, the disparities in ATICs between less developed and more advanced provincial-level divisions is widening. From a regional perspective, ATICs exhibits disparities both within and between regions. Inter-regional disparities are the primary contributors to national inequality in ATICs. Notably, the largest disparity exists between the east China and west China. Therefore, it is necessary to develop region-specific ATICs growth strategies and promote the coordinated development of agricultural technology innovation nationwide in China.