Direct effect and spatial spillover effect of rural human capital on agricultural non-point source pollution

被引:1
作者
Hu, H. [1 ]
Dai, J. [2 ]
Zhang, L. [3 ]
Wang, X. [4 ]
Ma, Y. [4 ]
机构
[1] Beijing Informat Sci & Technol Univ, Sch Econ & Management, Beijing 100192, Peoples R China
[2] China Univ Polit Sci & Law, Business Sch, Beijing 100088, Peoples R China
[3] Beijing Coll Social Adm, Dept Life Culture, Beijing 101601, Peoples R China
[4] North China Univ Technol, Sch Econ & Management, Beijing 100144, Peoples R China
来源
GLOBAL NEST JOURNAL | 2020年 / 22卷 / 04期
关键词
Agricultural non-point source pollution; spatial spillover; spatial panel measurement; rural human capital;
D O I
10.30955/gnj.003402
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
With the increasingly prominent problem of agricultural non-point source pollution, the process of Rural Revitalization Strategy has been seriously affected. Studying the relationship between rural human capital and agricultural non-point source pollution is helpful to form talent bonus, improve rural ecological environment and realize the green development of agriculture. This paper takes 30 provinces and cities of China as the research object and uses Spatial Durbin model for empirical analysis. According to the research results, it is found that agricultural non-point source pollution has significant spatial correlation and the correlation presents a fluctuating trend; Rural human capital has obvious direct effect (-0.678) and spatial spillover effect (-0.707), which helps to alleviate agricultural non-point source pollution. After considering different forms of space matrix, the result is considered to be robust. The conclusion of this paper provides policy enlightenment for promoting the construction of rural human capital and improving the continuous development of rural ecological environment curriculum.
引用
收藏
页码:642 / 648
页数:7
相关论文
共 50 条
[41]   Construction of an integrated technology system for control agricultural non-point source pollution in the Three Gorges Reservoir Areas [J].
Zhang, Tong ;
Yang, Yuheng ;
Ni, Jiupai ;
Xie, Deti .
AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2020, 295
[42]   Long-term agricultural non-point source pollution loading dynamics and correlation with outlet sediment geochemistry [J].
Ouyang, Wei ;
Jiao, Wei ;
Li, Xiaoming ;
Giubilato, Elisa ;
Critto, Andrea .
JOURNAL OF HYDROLOGY, 2016, 540 :379-385
[43]   Evolutionary Trend Analysis of Agricultural Non-Point Source Pollution Load in Chongqing Based on Land Use Simulation [J].
Zhu, Kangwen ;
Zhang, Yan ;
Tian, Xiaosong ;
Guan, Dongjie ;
Zhang, Sheng ;
He, Yong ;
Zhou, Lilei .
AGRONOMY-BASEL, 2024, 14 (04)
[44]   The role of green finance in reducing agricultural non-point source pollution-an empirical analysis from China [J].
Lv, Wen ;
Zhang, Zheng ;
Zhang, Xiaran .
FRONTIERS IN SUSTAINABLE FOOD SYSTEMS, 2023, 7
[45]   Control division of agricultural non-point source pollution at medium-sized watershed scale in Southeast China [J].
Huang J. ;
Hong H. ;
Zhang L. .
Frontiers of Environmental Science & Engineering in China, 2008, 2 (3) :333-339
[46]   Spatiotemporal drivers of agricultural non-point source pollution: A case study of the Huang-Huai-Hai Plain, China [J].
Wang, Mengcheng ;
Huang, Xianjin ;
Dong, Youming ;
Song, Yaya ;
Wang, Danyang ;
Li, Long ;
Qi, Xinxian ;
Lin, Nana .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2024, 370
[47]   Finance-driven sustainable development: the impact of green finance on agricultural non-point source pollution and its pathways [J].
Shen, Yang ;
Zhang, Xiuwu .
FRONTIERS IN SUSTAINABLE FOOD SYSTEMS, 2024, 8
[48]   Determination of spatiotemporal characteristics of agricultural non-point source pollution of river basins using the dynamic time warping distance [J].
Wang, Kang ;
Wang, Pengxiang ;
Zhang, Renduo ;
Lin, Zhongbing .
JOURNAL OF HYDROLOGY, 2020, 583
[49]   Agricultural non-point source pollution management in a reservoir watershed based on ecological network analysis of soil nitrogen cycling [J].
Wen Xu ;
Yanpeng Cai ;
Qiangqiang Rong ;
Zhifeng Yang ;
Chunhui Li ;
Xuan Wang .
Environmental Science and Pollution Research, 2018, 25 :9071-9084
[50]   Can digital financial inclusion help reduce agricultural non-point source pollution?-An empirical analysis from China [J].
Lin, Qiaohua ;
Cheng, Qiuwangh ;
Zhong, Jinfa ;
Lin, Wenhe .
FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10