农业现代化进程中的生产函数估计*

doi:10.13733/j.jcam.issn.20955553.2021.11.17

中国农机化学报 ›› 2021, Vol. 42 ›› Issue (11): 110-115.DOI: 10.13733/j.jcam.issn.20955553.2021.11.17

农业现代化进程中的生产函数估计^*

郭承龙^1,2, 陈镜如¹

1.南京林业大学经济管理学院/南林智库南京林业大学生态文明与乡村振兴研究中心,南京市,210037;
2.阿里研究院新乡村研究中心,北京市,100102

收稿日期:2021-02-07 修回日期:2021-04-19 出版日期:2021-11-15 发布日期:2021-11-15
作者简介:郭承龙,男,1976年生,安徽合肥人,硕士,副教授;研究方向为农林经济。E-mail: 158548920@qq.com
基金资助:
*江苏高校哲学社会科学一般研究项目(2020SJA0156);2020年度江苏省社科应用研究精品工程课题(20SYB—104);2020江苏省大学生创新训练项目(2020NFUSPITP0210)

Estimation of production function in the process of agricultural modernization

Guo Chenglong^1,2, Chen Jingru¹

1. College of Economics and Management Nanjing Forestry University/Research Center for Ecological Civilization and Rural Revitalization, Nanjing, 210037, China;
2. New Village Research Center of Ali Research Institute, Beijing, 100102, China

Received:2021-02-07 Revised:2021-04-19 Online:2021-11-15 Published:2021-11-15

摘要/Abstract

摘要： 农林牧渔业投资、农业机械化水平、化肥、塑料薄膜和农业科技水平是农业生产中重要的投入要素,将这些要素纳入扩展型C-D生产函数模型,并对2000—2019年我国农业生产经济数据进行岭回归计算,得到我国同期的农业生产函数,经变量替换和研究期调整等证实该农业生产函数具有稳健性。在我国农业现代化进程中,农林牧渔业投资、化肥施用量、塑料薄膜使用量、农业机械化水平和农业科技水平对农业总产值的产出弹性系数依次降低,分别为0.383、0.269、0.213、0.161和0.051;农业科技水平、农林牧渔业投资、塑料薄膜使用量、农业机械化水平和化肥施用量对农业总产值贡献率依次为21.392%、20.681%、15.444%、13.295%和8.684%。因此,应加大农业科技水平投入和转化、农林牧渔业投资力度和新型机械动力使用补贴等,推进农业现代化建设进程。

关键词: 农业生产函数, 岭回归, 稳健性, 农业现代化, 农业生产资料, 要素贡献率

Abstract: Investment in agriculture, forestry, animal husbandry and fishery, mechanization level, fertilizer, plastic sheeting, and agricultural science and technology in agricultural production are important input elements. These elements are put into the extended C-D production function model. It gets the function of agricultural production in China by ridge regression calculation based on agricultural production data from 2000 to 2019. It confirms that the function of agricultural production is robust with variable substitution and adjustment research period. In the process of agricultural modernization in China, the output elasticity of the investment in agriculture, forestry, animal husbandry and fishery, application amount of fertilizer, usage of plastic film, total mechanical power, and agricultural science and technology level to total agricultural output value were reduced. The coefficients were 0.383, 0.269, 0.213, 0.161, and 0.051, respectively. The agricultural output contributions of agricultural science and technology level, investment on agriculture, forestry, animal husbandry and fishery, usage of plastic film, total mechanical power, and application amount of fertilizer on total agricultural output value are 21.392%, 20.681%, 15.444%, 13.295%, and 8.684%, respectively. Therefore, it is necessary to increase investment in agricultural science and technology, increase investment in agriculture, forestry, animal husbandry and fisheries, and increase subsidies for the use of new machinery and power in order to promote the process of agricultural modernization.

Key words: agricultural production function, ridge regression, robustness, agricultural modernization, agricultural means of production, factor contribution rate

中图分类号:

F064.1

郭承龙, 陈镜如. 农业现代化进程中的生产函数估计^*[J]. 中国农机化学报, 2021, 42(11): 110-115.

Guo Chenglong, Chen Jingru. Estimation of production function in the process of agricultural modernization[J]. Journal of Chinese Agricultural Mechanization, 2021, 42(11): 110-115.

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农业现代化进程中的生产函数估计^*

Estimation of production function in the process of agricultural modernization

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