摘要
在“后扶贫时代”,促进农民收入持续较快增长,对巩固脱贫攻坚成果和推进其与乡村振兴有效衔接具有重要意义。文章以2001—2020年我国时间序列数据为基础,结合乡村振兴的四大路径,利用因子分析法提取公因子和因子载荷,并构建SVAR模型进行实证分析。结果表明:信息化的长期增收效应大于城市化的长期增收效应;在短期内,农村产业结构改革与农产品贸易市场化有助于农民增收;农业生产科技投入和农业信息化的长期增收效应高于短期增收效应。
In the post-poverty alleviation era, promoting sustained and rapid growth of rural incomes is of great significance for consolidating the achievements of poverty alleviation and effectively linking it with rural vitalization. Based on China’s time series data from 2001 to 2020 and combined with the four paths of rural revitalization, this paper uses factor analysis method to extract common factors and factor loads, and constructs SVAR model for empirical analysis. The results show that the long-term income growth effect of informatization is greater than that of urbanization, that the reform of rural industrial structure and the marketization of agricultural trade help increase farmers’ income in the short run, and that the long-term income growth effect of agricultural production technology investment and agricultural informatization is greater than the short-term income growth effect.
作者
常文涛
杜宾彬
Chang Wentao;Du Binbin(Institute of Contemporary Marxism,Xinyang Normal University,Xinyang Henan 464000,China;School of Statistics and Mathematics,Zhongnan University of Economics and Law,Wuhan 430200,China)
出处
《统计与决策》
CSSCI
北大核心
2022年第8期27-31,共5页
Statistics & Decision
基金
教育部人文社会科学研究规划基金项目(17YJAZH119)
河南省哲学社会科学规划项目(2020BJJ054)
河南省高等学校青年骨干教师培养计划(2019GGJS155)。
关键词
后扶贫时代
农民增收
因子分析
SVAR模型
post-poverty alleviation era
farmers’income growth
factor analysis
SVAR model