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作 者:黄煜宁 尤学敏 温芫姚 宁静[1,2] 许一涵 尤添革 HUANG Yuning;YOU Xuemin;WEN Yuanyao;NING Jing;XU Yihan;YOU Tiange(College of Computer and Information Science of Fujian Agriculture and Forestry University,Fuzhou 350002,Fujian,China;Fujian Statistical Information Research Center,Fuzhou 350002,Fujian,China;State Grid Communication Yili Technology Co.LTD,Fuzhou 350003,Fujian,China)
机构地区:[1]福建农林大学计算机与信息学院,福建福州350002 [2]福建省统计信息研究中心,福建福州350002 [3]国网信通亿力科技有限责任公司,福建福州350003
出 处:《福建林业》2022年第2期37-40,共4页Fujian Forestry
基 金:2018年福建省社科基金资助项目(FJ2018B063)。
摘 要:依据福州市2004-2018年的空气质量因子及居民人均可支配收入(以下简称“PDPI”)研究其之间的关系,经检验仅PM_(10)和SO_(2)这两种空气质量指标与PDPI之间的关系较为显著,对其采用四次项的回归模型建模研究福州市2004-2018年环境空气质量变化趋势,以福州市PDPI作为解释变量,空气综合污染指数作为被解释变量,得出2004-2018年期间,福州环境空气质量与经济增长之间的关系,其曲线拟合效果较好,曲线形状符合环境库兹涅茨曲线的变化规律。进一步对回归模型加入经济、社会、生态环境等因素的控制变量,回归曲线形状基本不变,回归模型较为稳定。A study on the data of Fuzhou air quality factors and the per capita disposable income of residents(PDPI)from 2004 to 2018 suggests that only PM10 and SO2 are significantly related to PDPI.With PDPI as the explanatory variable and air pollution index as the explained variable,a quartic regression model was created to study the trend of ambient air quality in Fuzhou from 2004 to 2018.A good curve fitting was observed for the relationship between ambient air quality and economic development of Fuzhou from 2004 and 2018,and the curve shape accords with the Environmental Kuznets Curve.Furthermore,after more control variables including economy,society and ecological environment being added into the regression model,the shape of the regression curve is basically unchanged and and the regression model remains stable.
分 类 号:F062.2[经济管理—政治经济学]
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