浙江农业学报 ›› 2022, Vol. 34 ›› Issue (8): 1784-1795.DOI: 10.3969/j.issn.1004-1524.2022.08.22

• 农业经济与发展 • 上一篇    下一篇

浙江省农业科技进步贡献率测算——基于随机前沿函数的分析

毛晓红(), 傅琳琳, 张柳, 王瑾, 毛小报*()   

  1. 浙江省农业科学院 农村发展研究所,浙江 杭州 310021
  • 收稿日期:2022-03-14 出版日期:2022-08-25 发布日期:2022-08-26
  • 通讯作者: 毛小报
  • 作者简介:*毛小报,E-mail: m1362571@163.com
    毛晓红(1965—),女,浙江江山人,学士,副研究员,研究方向为农业经济。E-mail: mxh6602@163.com
  • 基金资助:
    浙江省“三农六方”科技协作项目(2019SNL030)

Calculation and analysis of contribution rate of technological progress of agriculture in Zhejiang Province, China: based on stochastic frontier analysis

MAO Xiaohong(), FU Linlin, ZHANG Liu, WANG Jin, MAO Xiaobao*()   

  1. Institute of Rural Development, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
  • Received:2022-03-14 Online:2022-08-25 Published:2022-08-26
  • Contact: MAO Xiaobao

摘要:

采用超越对数随机前沿生产函数模型,基于浙江省县级单元的面板数据,测算浙江省2014—2019年农业科技进步贡献率。结果表明:2014—2019年浙江农业产出的增长主要来源于科技进步率的提升,至2019年,浙江农业科技进步贡献率达到64.30%。2014—2019年,浙江农业的狭义科技进步率呈现稳步增长趋势,主要依靠中性技术进步。农业产业结构的变动在一定程度上影响了相关技术的应用和生产经营规模,从而对农业科技进步贡献率产生影响。将浙江农业划分为平原型、沿海型、山地型3种农业发展类型,资本和土地对山地型农业发展的影响较大,劳动力对平原型农业发展的影响最大,沿海型农业的技术效率变化率最大。

关键词: 农业科技, 全要素生产率, 农业科技进步贡献率

Abstract:

In the present study, based on the county-level panel data, stochastic frontier analysis was introduced to calculate the contribution rate of technological progress of agriculture in Zhejiang in 2014-2019. It was shown that the growth of agricultural output in Zhejiang in 2014-2019 was mainly driven by the improvement of technological progress rate. In 2019, the contribution rate of technological progress of agriculture in Zhejiang reached 64.30%. In 2014-2019, the narrow technological progress rate showed a steady increasing trend, which was mainly driven by neutral technological progress. Changes in the agricultural industry structure affected the contribution rate of technological progress of agriculture via its influence on the application of related technologies and the scale of production and operation. Three agricultural development types were divided in Zhejiang as plain type, coastal type and mountain type. Among them capital and land had bigger impact on the mountain type, while labor had bigger impact on the plain type. Costal type showed the highest change rate of technological efficiency.

Key words: agricultural science and technology, total factor productivity, contribution rate of technological progress of agriculture

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