Department of Land Resource Management, School of Public Administration, China University of Geosciences (Wuhan), Wuhan 430074, China.
Int J Environ Res Public Health. 2021 Feb 3;18(4):1403. doi: 10.3390/ijerph18041403.
The urban agglomerations in the middle reaches of the Yangtze River (MYR-UA) are facing a severe challenge in reducing carbon emissions while maintaining stable economic growth and prioritizing ecological protection. The energy consumption related to land urbanization makes an important contribution to the increase in carbon emissions. In this study, an IPAT/Kaya identity model is used to understand how land urbanization affected carbon emissions in Wuhan, Changsha, and Nanchang, the three major cities in the middle reaches of the Yangtze River, from 2000 to 2017. Following the core idea of the Kaya identity model, sources of carbon emissions are decomposed into eight factors: urban expansion, economic level, industrialization, population structure, land use, population density, energy intensity, and carbon emission intensity. Furthermore, using the Logarithmic Mean Divisia Index (LMDI), we analyze how the different time periods and time series driving forces, especially land urbanization, affect regional carbon emissions. The results indicate that the total area of construction land and the total carbon emissions increased from 2000 to 2017, whereas the growth in carbon emissions decreased later in the period. Energy intensity is the biggest factor in restraining carbon emissions, followed by population density. Urban expansion is more significant than economic growth in promoting carbon emissions, especially in Nanchang. In contrast, the carbon emission intensity has little influence on carbon emissions. Changes in population structure, industrial level, and land use vary regionally and temporally over the different time period.
长江中游城市群(MYR-UA)在保持经济稳定增长和优先生态保护的同时,面临着减少碳排放的严峻挑战。土地城镇化所带来的能源消耗,对碳排放的增加有着重要贡献。本研究采用 IPAT/Kaya 恒等式模型,从 2000 年到 2017 年,探讨了土地城镇化对长江中游武汉、长沙和南昌这三大城市的碳排放的影响。基于 Kaya 恒等式模型的核心思想,将碳排放源分解为八个因素:城市扩张、经济水平、工业化、人口结构、土地利用、人口密度、能源强度和碳排放强度。进一步利用对数平均迪氏指数(LMDI)分析了不同时期和时间序列驱动因素,尤其是土地城镇化,对区域碳排放的影响。结果表明,建设用地总面积和总碳排放量从 2000 年到 2017 年呈增长趋势,而碳排放的增长在后期有所下降。能源强度是抑制碳排放的最大因素,其次是人口密度。城市扩张对碳排放的促进作用大于经济增长,特别是在南昌。相比之下,碳排放强度对碳排放的影响较小。人口结构、产业水平和土地利用的变化在不同时期和地区存在差异。