Content of Green and Low-carbon Development in our journal

Published in last 1 year |  In last 2 years |  In last 3 years |  All Please wait a minute... For Selected: Download Citations EndNote Reference Manager ProCite BibTeX RefWorks Toggle Thumbnails Select Spatiotemporal pattern evolution and influencing factors of carbon emissions from arable land in the Yangtze River Economic Belt LIU Xuan, SUN Yan, MA Jing, ZHANG Tian-wang, CHEN Fu HUBEI AGRICULTURAL SCIENCES    2024, 63 (2): 1-7.   DOI: 10.14088/j.cnki.issn0439-8114.2024.02.001 Abstract （127）      PDF （5745KB）（140）       Knowledge map    Save To clarify the green utilization of arable land, the IPCC carbon emission coefficient method was used to calculate the carbon emissions of arable land in 129 prefecture-level cities of the Yangtze River Economic Belt from 2000 to 2020. Spatial autocorrelation analysis was used to reveal the spatiotemporal evolution of arable land carbon emissions, and the LMDI model was used to decompose the contributions of various influencing factors. The results showed that from 2000 to 2020, the carbon emissions from arable land in the Yangtze River Economic Belt showed a downward trend over time, showing four stages, such as “maintaining stability—rapid growth—slow growth—slow decline”. In terms of space, there was a trend of high in the middle and east and low in the west, with significant global spatial autocorrelation. Local high-high clustering areas were distributed in the middle and lower reaches of the Yangtze River, low-high clustering areas were distributed in the middle reaches, and low-low clustering areas were mainly distributed in the upstream area. The promoting factor for agricultural carbon emissions within the region was the level of agricultural economy, while the inhibiting factor was mainly agricultural production efficiency, followed by agricultural production structure, and finally the scale of agricultural labor force. Therefore, there was a significant spatiotemporal difference in carbon emissions from arable land in the Yangtze River Economic Belt. Each region should develop carbon reduction strategies and land use control plans according to local conditions, improve agricultural production efficiency, optimize agricultural planting structure, strengthen regional linkage, and promote the coordinated development of low-carbon agriculture. Reference | Related Articles | Metrics Select Spatial and temporal difference of carbon emission efficiency in Jiangsu Province based on super-efficiency SBM model WANG Xiao-yue, DENG Jian-gao HUBEI AGRICULTURAL SCIENCES    2024, 63 (2): 8-12，18.   DOI: 10.14088/j.cnki.issn0439-8114.2024.02.002 Abstract （98）      PDF （1832KB）（37）       Knowledge map    Save Through the super-efficient SBM model with non-expected output and Malmquist productivity index, the carbon emission efficiency of each city in Jiangsu Province from 2011 to 2020 was calculated and the spatial and temporal differences were analyzed. Results showed that there was a significant difference in carbon emission efficiency among the prefecture-level cities in Jiangsu Province, with the overall characteristics of higher carbon emission efficiency in central Jiangsu than in southern Jiangsu and higher carbon emission efficiency in southern Jiangsu than in northern Jiangsu. The innovation of technology was the core driving factor for the improvement of carbon emission efficiency in Jiangsu Province. Unreasonable resource allocation and low scale efficiency were the main reasons why the carbon emission efficiency in Jiangsu Province had not reached the production frontier. Reference | Related Articles | Metrics page Page 1 of 2 Total 4 records First page Prev page Next page Last page