首页|农村劳动力转移、技术进步与农业碳生产率——基于PVAR模型的实证分析

农村劳动力转移、技术进步与农业碳生产率——基于PVAR模型的实证分析

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在气候变化背景下,提高农业碳生产率是我国农业实现低碳转型的关键.本文以2005-2021年30个省的面板数据为基础,运用PVAR模型,对农村劳动力转移、农业技术进步与农业碳生产率的关系进行深入研究.结果表明:农村劳动力转移对农业技术进步有显著的正向作用;农业技术进步对农业碳生产率表现出显著的正向影响;农业碳生产率对农业技术进步也有一定的正向冲击,农业碳生产率的提升一定程度上倒逼农业技术进步;三者都存在较强的自我强化机制,但对另外两者的贡献度都较低.
Rural Labor Transfer,Technological Progress and Agricultural Carbon Productivity:Empirical Analysis Based on PVAR Model
Under the background of climate change,improving agricultural carbon productivity was the key to realize the low-carbon transformation of China's agriculture.Based on the panel data of 30 prov-inces and cities from 2005 to 2020,the relationship between rural labor transfer,agricultural technology progress and agricultural carbon productivity was deeply studied by using PVAR model.The results showed that:rural labor transfer has a significant positive impact on agricultural technology progress;ag-ricultural technology progress exerts a significant positive impact on agricultural carbon productivity;ag-ricultural carbon productivity also imposes a positive impact on agricultural technology progress,and the improvement of agricultural carbon productivity forces the advancement of technology to a certain ex-tent;there is a self-reinforcing mechanism in all variables,but their contributions to the other two are relatively low.

rural labor transferagricultural technology progressagricultural carbon productivityPVAR model

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安徽工程大学 人文学院,安徽 芜湖 241000

中国农业大学 经济管理学院,北京 100083

农村劳动力转移 农业技术进步 农业碳生产率 PVAR模型

安徽高校协同创新项目安徽工程大学校级科研项目

GXXT-2023-090Xjky112201908

2024

安徽工程大学学报
安徽工程大学

安徽工程大学学报

影响因子:0.289
ISSN:2095-0977
年,卷(期):2024.39(2)
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