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中国陕西省县域土地利用碳排放的时空变化决定因素。

Determinants of spatiotemporal changes of land use carbon emissions for counties in Shaanxi Province, China.

机构信息

College of Landscape Architecture and Arts, Northwest A&F University, Yangling, Shaanxi, China.

School of Planning, University of Cincinnati, Cincinnati, OH, USA.

出版信息

Environ Sci Pollut Res Int. 2024 Sep;31(44):56350-56362. doi: 10.1007/s11356-024-34835-0. Epub 2024 Sep 13.

DOI:10.1007/s11356-024-34835-0
PMID:39269524
Abstract

In China, urban sprawl and developed land expansion challenge the country's "carbon peak" and "carbon neutrality" goals. Counties as the basic governance units are crucial for effective carbon reduction policies. This study examines land use carbon emissions (LUCE) in Shaanxi Province at the county level, essential for China's low-carbon strategy. Analyzing data from 107 counties between 2000 and 2020, we found that developed land, though increasing, is the primary carbon source with a slowing growth rate. The Conversion of Cropland to Forests and Grasslands national policy mitigated the impact on carbon absorption. Carbon emissions displayed positive autocorrelation and spatial heterogeneity, varying across the region. Using the Spatial Durbin Error Model, we linked county-level emissions to GDP per capita, population, urbanization rate, and research and development expenditure for direct and indirect influence. These factors correlate with fossil fuel use and high-quality industrial development. Promoting public transits and reducing private car use are vital for achieving local and regional low-carbon goals.

摘要

在中国,城市扩张和土地开发扩张对国家的“碳达峰”和“碳中和”目标构成挑战。县作为基本治理单位,对于有效的减碳政策至关重要。本研究以陕西省各县为单位,对土地利用碳排放(LUCE)进行了考察,这对于中国的低碳战略至关重要。通过分析 2000 年至 2020 年的 107 个县的数据,我们发现,尽管建设用地在不断增加,但它仍是主要的碳排放源,且增长速度正在放缓。退耕还林还草的国家政策缓解了其对碳吸收的影响。碳排放呈现出正自相关性和空间异质性,在区域间存在差异。我们利用空间杜宾误差模型,将县级碳排放与人均国内生产总值、人口、城市化率以及研发支出联系起来,考察其对直接和间接影响。这些因素与化石燃料的使用和高质量工业发展密切相关。推广公共交通和减少私人汽车使用对于实现地方和区域低碳目标至关重要。

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