Spatiotemporal heterogeneity and its influencing factors of agricultural carbon emission efficiency in Xinjiang
Received date: 2024-06-03
Revised date: 2024-07-22
Online published: 2025-05-13
The promotion of low-carbon agricultural development necessitates in-depth research into the spatiotemporal heterogeneity of agricultural carbon emission efficiency and its influencing factors. This will facilitate the acceleration of Xinjiang’s agricultural economic development while driving the green transformation of agricultural production. This study focused on 14 prefectures and cities in Xinjiang from 2000 to 2020 to assess agricultural carbon emission efficiency. The analysis was conducted using the SBM model of nonexpected output and the Malmquist index. The spatial characteristics of agricultural carbon emission efficiency were further examined using the spatial autocorrelation model, and the Tobit model was applied to explore factors influencing efficiency. The findings suggested the following. (1) From 2000 to 2020, the agricultural carbon emission efficiency in Xinjiang followed a “slow-fast-slow” development pattern, with significant inter-regional disparities. (2) In 2000, the Tacheng Prefecture exhibited a low-high agglomeration pattern in case of agricultural carbon emission efficiency. By 2007, the Changji Hui Autonomous Prefecture transitioned to a high-high agglomeration pattern. Further, by 2014, Turpan City and the Changji Hui Autonomous Prefecture were both exhibited high-high agglomeration. In 2020, the Bayingol Mongolian Autonomous Prefecture, Hami City, and Changji Hui Autonomous Prefecture were situated in a low-high agglomeration. Thus, a general decline in regions exhibiting high-high agglomeration and an increase in those with low-high agglomeration was observed. (3) The extent of arable land scale and the overall advancement of the agricultural economy positively affected the agricultural carbon emission efficiency. Further, the agricultural industry structure, crop cultivation structure, and effective irrigation rate negatively affected the agricultural carbon emission efficiency. Thus, this study highlights the spatial and temporal heterogeneity of agricultural carbon emission efficiency and its influencing factors in Xinjiang. The findings are expected to provide theoretical support and empirical evidence for the sustainable development of agriculture in arid areas.
LIU Haijun , ZHANG Haihong , YAN Junjie , LI Xiang , LI Gaofeng . Spatiotemporal heterogeneity and its influencing factors of agricultural carbon emission efficiency in Xinjiang[J]. Arid Land Geography, 2025 , 48(5) : 866 -878 . DOI: 10.12118/j.issn.1000-6060.2024.345
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