期刊文献+

江苏省农业科技进步贡献率的时空动态评价

Spatiotemporal dynamic evaluation of the agricultural science and technology progress contribution rate in Jiangsu Province
在线阅读 下载PDF
导出
摘要 通过构建柯布-道格拉斯(C-D)生产函数估算投入要素对农业产出的弹性系数,再根据索洛余值法测算农业科技进步率和科技进步贡献率。结果表明,江苏省在“八五”至“十三五”期间,农业总产值、资本投入均呈增长趋势,但其年均增长率变缓;除“九五”外,其他时期劳动力数量均呈减少趋势,向二三产业转移;农业科技进步贡献率在“八五”和“九五”时期较低,“十五”至“十三五”时期农业科技进步贡献率均超过50.00%。除无锡、苏州外,江苏省各市的农业科技进步率为1.45%~3.13%,由高到低依次为南京、徐州、常州、盐城、泰州、南通、扬州、连云港、镇江、淮安、宿迁;江苏省各市的农业科技进步贡献率为44.41%~121.32%,由高到低依次为常州、盐城、南通、南京、泰州、扬州、徐州、镇江、宿迁、连云港、淮安;使用SPSS 20.0软件对各市进行系统聚类,第一类城市包括镇江、泰州、徐州、连云港、淮安、宿迁;第二类城市包括南京、常州和南通;第三类城市包括扬州和盐城;苏南作为江苏省农业科技创新资源的集聚区域,其农业科技进步贡献率远超苏中和苏北。 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.
作者 徐梦洁 胡雅君 周洪英 焦凌佳 王丽娟 XU Meng-jie;HU Ya-jun;ZHOU Hong-ying;JIAO Ling-jia;WANG Li-juan(College of Public Administration,Nanjing Agricultural University,Nanjing 210095,China;College of Earth Sciences,Jilin University,Changchun 130061,China;School of Geography and Planning,Huaiyin Normal University,Huai’an 223300,Jiangsu,China;Institute of Rural Development,Zhejiang Academy of Agricultural Sciences,Hangzhou 310021,China)
出处 《湖北农业科学》 2025年第5期178-184,共7页 Hubei Agricultural Sciences
关键词 农业 科技进步贡献率 时空动态评价 江苏省 agriculture agricultural science and technology progress contribution rate spatiotemporal dynamic evaluation Jiangsu Province
  • 相关文献

参考文献35

二级参考文献335

共引文献353

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部