HUBEI AGRICULTURAL SCIENCES ›› 2025, Vol. 64 ›› Issue (5): 178-184.doi: 10.14088/j.cnki.issn0439-8114.2025.05.028

• Economy & Management • Previous Articles     Next Articles

Spatiotemporal dynamic evaluation of the agricultural science and technology progress contribution rate in Jiangsu Province

XU Meng-jie1, HU Ya-jun2, ZHOU Hong-ying3, JIAO Ling-jia1, WANG Li-juan4   

  1. 1. College of Public Administration, Nanjing Agricultural University, Nanjing 210095, China;
    2. College of Earth Sciences, Jilin University, Changchun 130061, China;
    3. School of Geography and Planning, Huaiyin Normal University, Huai& #x02019;an 223300, Jiangsu, China;
    4. Institute of Rural Development, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
  • Received:2024-02-23 Online:2025-05-25 Published:2025-06-11

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Abstract: The Cobb-Douglas (C-D) production function was constructed to estimate the elasticity coefficients of input factors on agricultural output, and the Solow residual method was then applied to calculate the agricultural science and technology progress rate and agricultural science and technology progress contribution rate. The results showed that from the 8th Five-Year Plan to the 13th Five-Year Plan period in Jiangsu province, both the total agricultural output value and capital investment demonstrated growth trends, but their average annual growth rates slowed down.Except for the 9th Five-Year Plan period, the labor force showed a decreasing trend in other periods, shifting to secondary and tertiary industries. The agricultural science and technology progress contribution rate was relatively low during the 8th Five-Year Plan and 9th Five-Year Plan periods, but exceeded 50.00% from the 10th Five-Year Plan to the 13th Five-Year Plan periods. Except for Wuxi and Suzhou, the agricultural science and technology progress rate in Jiangsu Province ranged from 1.45% to 3.13%, descending in the order of Nanjing, Xuzhou, Changzhou, Yancheng, Taizhou, Nantong, Yangzhou, Lianyungang, Zhenjiang, Huai’an, and Suqian;the agricultural science and technology progress contribution rate across cities in Jiangsu Province ranged from 44.41% to 121.32%, descending in the order of Changzhou, Yancheng, Nantong, Nanjing, Taizhou, Yangzhou, Xuzhou, Zhenjiang, Suqian, Lianyungang, and Huai'an.Systematic clustering was performed using SPSS 20.0 software, with the first cluster including Zhenjiang, Taizhou, Xuzhou, Lianyungang, Huai’an, and Suqian;the second cluster included Nanjing, Changzhou, and Nantong;the third cluster consisted of Yangzhou and Yancheng. As the concentration area of agricultural science and technology innovation resources in Jiangsu Province, southern Jiangsu exhibited a significantly higher agricultural science and technology progress contribution rate than central and northern Jiangsu.

Key words: agriculture, agricultural science and technology progress contribution rate, spatiotemporal dynamic evaluation, Jiangsu Province

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