Spatiotemporal variation trends and convergence analysis of agricultural carbon emission intensity in Xinjiang
Received date: 2022-09-13
Revised date: 2022-11-15
Online published: 2023-08-03
The spatiotemporal differences and dynamic changes of total agricultural carbon emissions and intensity in Xinjiang, China, were investigated by analyzing agricultural materials, rice cultivation, livestock breeding, and straw burning. The convergence trends of agricultural carbon emissions intensity in 13 prefectures and cities were examined by performing spatial convergence analysis. The results revealed the following: (1) Although the total agricultural carbon emissions in Xinjiang from 2007 to 2019 increased steadily, the intensity of agricultural carbon emissions exhibited a decreasing trend. (2) In 2019, the total agricultural carbon emission was the highest in counties and cities of Ili Kazak Autonomous Prefecture and lowest in Turpan City. A declining trend of total agricultural carbon emissions was observed only in the counties and cities of Ili Kazak Autonomous Prefecture and Hotan region, whereas the rest of the regions exhibited an increasing trend. Generally, a “low in the north and high in the south” trend was observed in the intensity of agricultural carbon emissions in Xinjiang. (3) The dynamic evolutionary characteristics of agricultural carbon emission intensity varied widely across Xinjiang prefectures and cities. The kernel density curve showed an overall small leftward shift over time. Furthermore, the concentration of agricultural carbon emission intensity was increasing. (4) The agricultural carbon emission intensities of various prefectures and cities in Xinjiang exhibited significant β-convergence characteristics, which indicated that the gap in agricultural carbon emission intensities between prefectures and cities was narrowing. Moreover, the conditional β convergence rate was considerably higher than absolute β convergence, and the further incorporation of the spatial factor increased the convergence rate. The results of the study can be used for the development of low-carbon agriculture in Xinjiang to achieve “dual carbon” goals.
Wenhao XIA , Mingyang WANG , Lei JIANG . Spatiotemporal variation trends and convergence analysis of agricultural carbon emission intensity in Xinjiang[J]. Arid Land Geography, 2023 , 46(7) : 1145 -1154 . DOI: 10.12118/j.issn.1000-6060.2022.455
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