Spatiotemporal evolutions and reasons of land-use carbon emissions in counties, Shaanxi Province, China

Wei Zhou, Yao Chen, Qi Wang, Weifeng Wang
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Abstract

Global warming caused by factors such as the expansion of construction land poses a major threat to the sustainable development of China. As an important component of China's low-carbon development strategy, there is a relative lack of analysis of the spatial and temporal evolution of land-use carbon emissions and the influencing factors at county-level. In this study, we employed Emission-Factor Approach to estimate carbon emissions from land use in 107 counties, Shaanxi province, China. Our findings revealed construction land were the primary contributors to carbon emissions, showing a substantial increase from 2000 to 2020. There was positive spatial autocorrelation in carbon emissions among counties, forming distinct aggregation patterns around the City of Xi'an and both the southern and northern regions of Shaanxi. By utilizing the Spatial Durbin Error Model (SDEM), demographic factors emerged as key drivers of carbon emissions, indicating the significance of addressing population concentration to curb emissions. Furthermore, promoting coordinated development and adjusting the economic structure in different counties can mitigate both population concentration and carbon emissions. Emphasizing industrial development and investments can also effectively suppress carbon emissions. Additionally, managing transportation-related emissions can be achieved by enhancing public transportation services and regulating private car usage.
中国陕西省县域土地利用碳排放的时空演变及其原因
建设用地扩张等因素导致的全球变暖对中国的可持续发展构成了重大威胁。作为中国低碳发展战略的重要组成部分,县级土地利用碳排放的时空演变及其影响因素的分析相对缺乏。本研究采用排放因子法估算了陕西省 107 个县的土地利用碳排放量。研究结果表明,建设用地是碳排放的主要贡献者,从 2000 年到 2020 年碳排放量大幅增加。各县之间的碳排放量存在正的空间自相关性,在西安市周围以及陕南和陕北地区形成了明显的聚集模式。利用空间杜宾误差模型(SDEM),人口因素成为碳排放的主要驱动因素,表明解决人口聚集问题对抑制碳排放具有重要意义。此外,促进不同县域的协调发展和经济结构调整既能缓解人口集聚,又能减少碳排放。重视产业发展和投资也能有效抑制碳排放。此外,还可以通过加强公共交通服务和规范私家车使用来管理与交通相关的排放。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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