Spatial and temporal patterns of agricultural low-carbon productivity and its influence effects in the counties of Tarim River Basin, Xinjiang
Received date: 2022-07-16
Revised date: 2022-08-18
Online published: 2023-07-24
Improving low-carbon productivity in agriculture is an effective path to ensure ecological priority and food security in arid areas. In this study, a super-efficient SBM model based on nonexpected output is used to measure the agricultural low-carbon productivity of 42 counties (cities) in the Tarim River Basin of Xinjiang, China from 2000 to 2020. The model uses trend surface analysis and spatial autocorrelation to portray the spatial and temporal characteristics of agricultural low-carbon productivity at the county scale, and constructs a spatial Durbin model and a geographic detector to reveal the spillover effects of influencing variables and spatial heterogeneity. The results show that: (1) The low-carbon productivity of agriculture in the Tarim River Basin shows a “W-shaped” stage, with a concave decreasing pattern of “downstream-upstream-midstream” between counties, and a spatial clustering. (2) Mechanization intensity and farmers’ income level have significant positive spillover effects on low-carbon productivity in county agriculture; population urbanization has significant negative spillover effects on low-carbon productivity in county agriculture; industrialization level and financial support to agriculture have significant negative direct effects on low-carbon productivity in agriculture; and the spillover effects of economic development level and per capita production scale are not significant. (3) The interaction type of the low-carbon productivity impact variables in county agricultural shows an enhanced type in general, implying the trend that low-carbon productivity in county agriculture is increasingly influenced by multiple variables. Therefore, it is important to explore the spatial and temporal patterns of low-carbon productivity in county agriculture and the influencing factors to achieve a coordinated development of low-carbon agriculture in the Tarim River Basin and even in Xinjiang.
Jiawei MU , Baorong QIAO , Guoxin YU . Spatial and temporal patterns of agricultural low-carbon productivity and its influence effects in the counties of Tarim River Basin, Xinjiang[J]. Arid Land Geography, 2023 , 46(6) : 968 -981 . DOI: 10.12118/j.issn.1000-6060.2022.358
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