Can Rural Human Capital Improve Agricultural Ecological Efficiency? Empirical Evidence from China

被引:0
|
作者
Hu, Yankang [1 ]
Yu, Hongchao [2 ]
Yang, Xinglong [1 ]
机构
[1] Jilin Agr Univ, Coll Econ & Management, Changchun 130118, Peoples R China
[2] Qingdao Changyang Grp Co Ltd, Qingdao 266600, Peoples R China
关键词
rural human capital; agricultural ecological efficiency; Internet popularization; moderating effect; MIGRATION; EDUCATION;
D O I
10.3390/su151612317
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Agricultural ecological efficiency (AEE) is an important index to measure the coordinated development of agricultural production, resources, and the environment. This study tries to explore the impact of rural human capital (RHC) on AEE, hoping to provide a reference for promoting the green development of agriculture. Data sets (2006-2021) used in this study were gathered from Official Statistics Panel data in 30 provinces in China. Firstly, the super-efficient slacks-based measure model (SBM) with non-expected output is employed to effectively measure AEE. Secondly, the entropy method is used to measure RHC in three dimensions: education, health, and migration. Finally, this study discusses the impact of RHC on AEE using the panel Tobit model and further verifies the moderating effect of Internet popularization on the effect of RHC on AEE using the moderating effect model. The results show that RHC has a significant positive impact on the promotion of AEE, and this positive impact has obvious regional heterogeneity. Specifically, RHC has a greater promoting role on AEE in the eastern and northeastern regions, while it has a smaller promoting role on AEE in the central and western regions. In addition, Internet penetration plays a positive moderating role in the mechanism of the effect of RHC on the AEE. This study may serve as a reference for improving AEE by providing theoretical guidance and policy suggestions for promoting agricultural green development.
引用
收藏
页数:18
相关论文
共 50 条
  • [21] Environmental regulations and agricultural carbon emissions efficiency: Evidence from rural China
    Xia, Yujie
    Guo, Hongpeng
    Xu, Shuang
    Pan, Chulin
    HELIYON, 2024, 10 (04)
  • [22] What Affects Rural Ecological Environment Governance Efficiency? Evidence from China
    Qian, Min
    Cheng, Zhenpeng
    Wang, Zhengwen
    Qi, Dingyi
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (10)
  • [23] Human capital externalities and rural-urban migration: Evidence from rural China
    Liu, Zhiqiang
    CHINA ECONOMIC REVIEW, 2008, 19 (03) : 521 - 535
  • [24] Can farmers' digital literacy improve income? Empirical evidence from China
    Liu, Tian
    Liao, Lan
    PLOS ONE, 2024, 19 (12):
  • [25] Human Capital, Efficiency and Productivity: Empirical Evidence from Taiwanese Banking Industry
    Ouyang, Lishu
    Lee, Hwey-chyi
    2008 IEEE INTERNATIONAL CONFERENCE ON MANAGEMENT OF INNOVATION AND TECHNOLOGY, VOLS 1-3, 2008, : 216 - +
  • [26] Can rural outmigration improve household food security? Empirical evidence from Ethiopia
    Abebaw, Degnet
    Admassie, Assefa
    Kassa, Habtemariam
    Padoch, Christine
    WORLD DEVELOPMENT, 2020, 129
  • [27] Can financial capability improve entrepreneurial performance? Evidence from rural China
    Yi, Hong
    Meng, Xue
    Linghu, Yuting
    Zhang, Ziyu
    ECONOMIC RESEARCH-EKONOMSKA ISTRAZIVANJA, 2023, 36 (01): : 1631 - 1650
  • [28] Does agricultural mechanization improve agricultural environment efficiency? Evidence from China's planting industry
    Zhu, Yingyu
    Zhang, Yan
    Piao, Huilan
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (35) : 53673 - 53690
  • [29] Can digital economy truly improve agricultural ecological transformation? New insights from China
    Jian Hou
    Mengyao Zhang
    Ye Li
    Humanities and Social Sciences Communications, 11
  • [30] Does agricultural mechanization improve agricultural environment efficiency? Evidence from China’s planting industry
    Yingyu Zhu
    Yan Zhang
    Huilan Piao
    Environmental Science and Pollution Research, 2022, 29 : 53673 - 53690