基于脱钩理论,选取工业SO2和工业烟粉尘,对2003—2014年间吉林省9个地市州工业增长与工业大气污染关系展开研究,分析大气污染脱钩状态的时空演变、影响因素及未来变化趋势。结果表明:吉林省两种工业大气污染物均以绝对脱钩为主。根据大气污染脱钩状态变化情况,将9个地市州划分为4种类型。两种工业大气污染脱钩状态空间演变趋势并不一致,研究期内工业SO2扩张性负脱钩状态经历中部集聚—周边扩散—中部集聚—扩散的变化,工业烟粉尘扩张性负脱钩状态逐渐由中部向东部扩展。工业大气污染脱钩弹性系数分解结果显示不同城市制约工业大气污染脱钩状态的提升的因素有所差异。Hurst指数计算结果表明,未来吉林省大部分地区工业SO2脱钩弹性系数呈下降态势,工业烟粉尘脱钩弹性系数变化分异较为明显。
In this study, the industrial SO2 emission and soot (dust) emission were selected as two indicators of atmospheric pollution, and the space and time patterns of the decoupling relationship between industrial growth and atmospheric pollution from 2003 to 2014 in Jilin Province were evaluated based on decoupling theory. Then, a new decoupling causality chain was established to analyze the change of decoupling indexes. Finally, the evolutionary characteristic of decoupling indexes was analyzed by adopting R/S method. Conclusions are drawn as follows. During the period from 2003 to 2014, decoupling of the emission of SO2 and soot (dust) from industrial growth mainly belonged to absolute decoupling, and the proportion of absolute decoupling of industrial soot (dust) was higher than that of industrial SO2. Based on the changes of decoupling level, we divided the 9 (prefectural) cities in Jilin Province into 4 groups. The spatial evolutions of decoupling state for the two kinds of industrial pollution were different. The decoupling state in the middle of Jilin Province changed more. For soot (dust), the state of expansive negative decoupling graduately expanded toward the east from the middle, and the stress of atmospheric pollution caused by soot (dust) mainly concentrated in cities around Changchun and Songyuan. Decomposition results of decoupling indexes showed that the constraints on decoupling level improvement were different in different cities. Hurst components showed that the decoupling elasticities of industrial SO2 would decrease and the decoupling elasticities of industrial soot (dust) in different cities showed different variation trends in the meantime.
[1] Sun D Q, Zhang J X, Hu Y, et al. Spatial analysis of China's eco-environmental quality:1990-2010[J]. Journal of Geographical Sciences, 2013, 23(4):695-709.
[2] 蓝庆新, 陈超凡. 制度软化、公众认同对大气污染治理效率的影响[J]. 中国人口·资源与环境, 2015, 25(9):145-152.
[3] Wang Y, Lai N, Mao G Z, et al. Air pollutant emissions from economic sectors in China:A linkage analysis[J]. Ecological Indicators, 2017, 77:250-260.
[4] 张淑平, 韩立建, 周伟奇, 等. 城市规模对大气污染物和NO2和PM2.5浓度的影响[J]. 生态学报, 2016, 36(16):5049-5057.
[5] 韩明霞, 过孝民, 张衍燊. 城市大气污染的人力资本损失研究[J]. 中国环境科学, 2006, 26(4):509-512.
[6] 赵其国, 黄国勤, 马艳芹. 中国生态环境状况与生态文明建设[J]. 生态学报, 2016, 36(19):6328-6335.
[7] 张同斌, 宫婷. 中国工业化阶段变迁、技术进步与能源效率提升:基于时变参数状态空间模型的实证分析[J]. 资源科学, 2013, 35(9):1772-1781.
[8] Grossman G M, Krueger A B. Environmental impacts of a North American free trade agreement[R]. Cambridge:National Bureau Economic Research, 1991.
[9] Panayotou T. Empirical tests and policy analysis of environmental degradation at different stages of economic development[R]. Geneva, International Labor Office, 1993.
[10] 周静, 杨桂山, 戴胡爽. 经济发展与环境退化的动态演进:环境库兹涅茨曲线研究进展[J]. 长江流域资源与环境, 2007, 16(4):414-419.
[11] Yu Y D, Zhou L, Zhou W J, et al. Decoupling environmental pressure from economic growth on city level:the case study of Chongqing in China[J]. Ecological Indicators, 2017, 75:27-35.
[12] 刘艳军, 张婧. 城市拓展对资源消耗的影响程度分析:以长春市为例[J]. 地理科学, 2012, 32(9):1093-1098.
[13] 易平, 方世明, 马春艳. 地质公园旅游经济增长与生态环境压力脱钩评价:以嵩山世界地质公园为例[J]. 自然资源学报, 2014, 29(8):1282-1296.
[14] OECD. Indicators to measure decoupling of environmental pressure from economic growth[EB/OL]. (2002-05-16)[2017-08-29].http://www.oecd.org/officialdocuments/publicdisplaydocumentpdf/?doclanguage=en&cote=sg/sd(2002)1/final.
[15] 夏勇, 钟茂初. 经济发展与环境污染脱钩理论及EKC假说的关系:兼论中国地级城市的脱钩划分[J]. 中国人口·资源与环境, 2016, 26(10):8-16.
[16] 马丽, 张博, 杨宇. 东北地区产业发展与工业SO2排放的时空耦合效应研究[J]. 地理科学, 2016, 36(9):1310-1319.
[17] 程钰, 徐成龙, 刘雷, 等. 1991-2011年山东省工业经济增长的大气污染效应及其时空格局:以SO2和粉尘为例[J]. 地理科学进展, 2013, 32(11):1703-1711.
[18] 于忠华, 谢放尖, 李婉嫕, 等. 南京市大气污染减排多维度环境绩效评估[J]. 环境科学与技术, 2016, 39(7):174-178.
[19] 王敏, 张晓平. 基于PCA-DEA模型的中国省际生态效率研究[J]. 中国科学院大学学报, 2015, 32(4):520-527.
[20] 周侃, 樊杰. 中国环境污染源的区域差异及其社会经济影响因素:基于339个地级行政单元截面数据的实证分析[J]. 地理学报, 2016, 71(11):1911-1925.
[21] 许清涛, 高标, 房骄. 吉林省经济增长与环境污染水平演进关系的实证研究[J]. 水土保持研究, 2013, 20(4):258-267.
[22] 梁彩懿. 吉林省工业"三废"污染与经济发展的关系:基于EKC曲线[J]. 中国石油大学学报(社会科学版), 2014, 30(6):26-30.
[23] 唐志鹏, 刘红光, 刘志高, 等. 经济地理学中的数量方法[M]. 北京:气象出版社, 2012.
[24] Tapio P. Towards a theory of decoupling:degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001[J]. Transport Policy, 2005, 12(2):137-151.
[25] Gao C K, Wang D, Cai J J, et al. Scenario analysis on economic growth and environmental load in China[J]. Procedia Environmental Sciences, 2010, 2(6):1335-1343.
[26] 盖美,胡杭爱,柯丽娜. 长江三角洲地区资源环境与经济增长脱钩分析[J]. 自然资源学报, 2013, 28(2):185-198.
[27] 齐静,陈彬. 城市工业部门脱钩分析[J]. 中国人口·资源与环境, 2012, 22(8):102-106.
[28] 郭付友, 佟连军, 魏强, 等.松花江流域(吉林省段)产业系统生态效率时空分异特征与影响因素[J]. 地理研究, 2016, 35(8):1483-1494.
[29] 卢强, 吴清华, 周永章, 等. 广东省工业绿色转型升级评价的研究[J]. 中国人口·资源与环境, 2013, 23(7):34-41.
[30] 李忠民, 韩翠翠, 姚宇. 产业低碳化弹性脱钩因素影响力分析:以山西省建筑业为例[J]. 经济与管理, 2010, 24(9):41-44.
[31] 陈彦光. 基于Matlab的地理数据分析[M]. 北京:高等教育出版社, 2012.
[32] 贺灿飞, 周沂. 环境经济地理研究[M]. 北京:科学出版社, 2016.