School of Business, Jiangsu Normal University, Xuzhou, 221116, China.
Environ Sci Pollut Res Int. 2018 Jan;25(3):2457-2465. doi: 10.1007/s11356-017-0662-2. Epub 2017 Nov 10.
Towns and cities are not only the focus of attention for their consumption of energy and resources; they are also scrutinized closely for their emissions of greenhouse gases. China's urbanization level now exceeds 50%, but there is still much disparity compared with the level of urbanization in developed countries. This study selects China's urban population and carbon emissions data for the years 1980-2014 and discusses the timing and cause effect of urbanization and the corresponding carbon emissions using the Granger causality test and an error correction model (ECM) then uses STIRPAT models to extract six indicators to measure the quality of urbanization, namely, the level of urbanization, area of built-up regions, added value of tertiary industries, disposable income per capita, green areas per capita, and energy intensity. These six indicators represent population agglomeration, the expansion of urban areas, industrial agglomeration, quality of life improvements, ecological conservation, and technological improvements, respectively. The study divides 29 provinces in China into three groups based on the quality of urbanization and analyzes the impacts of the six indicators of urbanization quality on carbon emissions. The findings show that the impacts of different factors on carbon emissions vary substantially among the provinces. Finally, the study uses the findings to give suggestions on how to develop low-carbon urbanization.
城镇不仅是能源和资源消耗的焦点,也是温室气体排放的重点审查对象。中国的城市化水平现已超过 50%,但与发达国家的城市化水平相比仍存在较大差距。本研究选取了中国 1980-2014 年的城市人口和碳排放数据,利用格兰杰因果检验和误差修正模型(ECM)讨论了城市化和相应碳排放的时间顺序和因果关系,然后利用 STIRPAT 模型提取了六个指标来衡量城市化质量,即城市化水平、建成区面积、第三产业增加值、人均可支配收入、人均绿地面积和能源强度。这六个指标分别代表人口聚集、城市面积扩大、产业聚集、生活质量提高、生态保护和技术进步。本研究根据城市化质量将中国的 29 个省份分为三组,并分析了城市化质量的六个指标对碳排放的影响。研究结果表明,不同因素对碳排放的影响在各省之间存在很大差异。最后,本研究利用研究结果为如何发展低碳城市化提供了建议。