Spatial correlations and driving mechanisms of low-carbon agricultural development in china

被引:6
|
作者
Fang, Fang [1 ,2 ]
Zhao, Jun [1 ,2 ]
Di, Jie [1 ]
Zhang, Lijie [1 ,2 ]
机构
[1] Xinjiang Univ, Sch Econ & Management, Urumqi, Xinjiang, Peoples R China
[2] Base Macroecon Early Warning Res Xinjiang, Urumqi, Xinjiang, Peoples R China
关键词
agriculture; low-carbon total factor productivity; spatially linked networks; social network analysis; super-efficiency ray slacks-based model; ENERGY-CONSUMPTION; CO2; EMISSIONS; TECHNOLOGY; PRODUCTIVITY; ADOPTION; EFFICIENCIES; INDUSTRY; SECTOR; GROWTH; LAND;
D O I
10.3389/fenvs.2022.1014652
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Low-carbon agricultural development in China is a prerequisite for rural revitalization and a key to achieving socio-economic green transformation. This paper used agricultural data from 30 Chinese provinces from 2001 to 2020, considering both carbon emissions from farming and livestock, agricultural low-carbon total factor productivity (ALTFP) was measured using the RSBM-GML index. Based on this, the network characteristics and driving mechanisms of low-carbon synergistic development in agriculture were explored with the help of an improved gravity model and social network analysis, and the dominant provinces in low-carbon synergistic development in agriculture are identified. The study revealed that the spatially linked network of ALTFP in China exhibits multi-threaded characteristics of spillover to non-adjacent provinces, and the whole network has a sparse structure and hierarchy. The eastern regions such as Beijing, Tianjin, Shanghai, Jiangsu, and Zhejiang are at the core of the network, with closer ties to other regions and a stronger role in allocating resources. While the western regions such as Xinjiang, Qinghai, and Gansu are located at the periphery of the network, with weaker access to the resources. Meanwhile, the spatial proximity of provinces, the widening of differences in urbanization levels and differences in financial support for agriculture, and the narrowing of differences in the educational attainment of rural labor have significantly contributed to the formation of provincial spatial linkages. This study reveals that China's government needs to give full play to the role of core regions as "leaders ", and promote the balanced and coordinated regional development of low-carbon agriculture in China. In addition, policy makers should further optimize the spatial allocation of agricultural resource elements between provinces. The findings of the study provide reference suggestions for the development of regionally differentiated agricultural low-carbon development plans.
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页数:23
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