综合运用PSR模型、熵权TOPSIS模型、地理探测器等方法,以东北限制开发区为研究对象,分析了2005—2015年东北限制开发区绿色发展时空格局及其影响因素,结果发现:①2005—2015年东北限制开发区绿色发展较高水平与高水平地级市数量稍有增加,但低水平与中水平地级市占比稳定在50%左右,折射出限制开发区绿色发展“嵌入式”与“刚性化”特征相对突出,绿色发展质量提升之路漫长而艰巨;②东北限制开发区绿色发展状态贴近度南北空间分异现象明显,绿色发展压力程度自南向北不断升高,而绿色发展响应水平呈现中部高、两边低的特点;③东北限制开发区绿色发展水平空间呈现中部高、南北两翼低的格局,且绿色发展水平相似地区集聚现象较为明显;④经济发展仍是东北限制开发区绿色发展的重要影响因素,且限制开发区绿色发展模式依赖于政府主导下的投资拉动,相对具有自上而下“指令性”发展特征。
On the basis of the PSR model, the entropy weight TOPSIS model, and the geographical detector method, taking the Northeast Restricted Development Zone as the research area, this paper analyzes the spatio-temporal pattern and the influencing factors of the green development in the Northeast Restricted Development Zone. The results indicate that: 1) The number of the Restricted Development Zone with high green development level rose slightly, but the proportion of the Restricted Development Zone with low green development level is stable around 50%, indicating that the "embedded" and "rigid" characteristics of the green development in the Restricted Development Zone are relatively prominent, and the road of green development quality improvement is long and arduous; 2) The spatial difference between the north area and the south area of green development state in the Northeast Restricted Development Zone is obvious, and the pressure level of green development is rising from the south to the north, and the response level of green development is high in the middle area and low in both side areas; 3) The spatial pattern of the green development level in the Northeast Restricted Development Zone shows high in the middle area and low in the north and the south, and the agglomeration phenomenon among the similar areas’ green development level is obvious; 4) The economic development is still an important factor affecting the green development of the Northeast Restricted Development Area, and the green development mode of the restricted development zone depends on the investment driven by the government, which has relatively top-down "commanding" development characteristics.
[1] 胡鞍钢,周绍杰. 绿色发展:功能界定、机制分析与发展战略[J].中国人口·资源与环境,2014,24(1):14-20.
[2] 吕晓,臧涛,张全景. 土地政策的农户认知及其农地转出响应研究——基于山东省287份农户问卷调查的实证[J].南京农业大学学报:社会科学版,2017,17(5):100-110.
[3] 鲍超. 中国城镇化与经济增长及用水变化的时空耦合关系[J].地理学报,2014,69(12):1 799-1 809.
[4] 徐传谌,王鹏,崔悦,等. 城镇化水平、产业结构与经济增长——基于中国2000—2015年数据的实证研究[J].经济问题,2017(6):26-29.
[5] 穆学英,刘凯,任建兰. 中国绿色生产效率区域差异及空间格局演变[J].地理科学进展,2017,36(8):1 006-1 014.
[6] Kortelainen M.Dynamic environmental performance analysis:A malmquist index approach[J].Ecological Economics,2008,64(4):701-715.
[7] Chardine-Baumann E,Botta-Genoulaz V.A framework for sustainable performance assessment of supply chain management practices[J].Computers & Industrial Engineering,2014,76:138-147.
[8] Johnston D,Lowe R,Bell M.An exploration of the technical feasibility of achieving CO2 emission reductions in excess of 60% within the UK housing stock by the year 2050[J].Energy Policy,2005,33(13):1 643-1 659.
[9] Carfi D,Schiliro D.A coopetitive model for the green economy[J].Economic Modelling,2012,29(4):1 215-1 219.
[10] Barbier E B.A Global Green New Deal:Rethinking the Eco-nomic Recovery[J].Cambridge Books,2010,4(3):1-35.
[11] Maike S,Axel M.Financing a green urban economy:The po-tential of the clean development mechanism(CDM)[J].The Economy of Green Cities,2013,3(9):363-368.
[12] 李晓西,刘一萌,宋涛. 人类绿色发展指数的测算[J].中国社会科学,2014(6):69-95.
[13] 杨志江,文超祥. 中国绿色发展效率的评价与区域差异[J].经济地理,2017,37(3):10-18.
[14] 马勇,黄智洵. 长江中游城市群绿色发展指数测度及时空演变探析——基于GWR模型[J].生态环境学报,2017,26(5):794-807.
[15] 张欢,罗畅,成金华,等. 湖北省绿色发展水平测度及其空间关系[J].经济地理,2016,36(9):158-165.
[16] 黄跃,李琳. 中国城市群绿色发展水平综合测度与时空演化[J].地理研究,2017,36(7):1 309-1 322.
[17] 郭永杰,米文宝,赵莹. 宁夏县域绿色发展时空分异及影响因素[J].经济地理,2015,35(3):45-52.
[18] 黄建欢,吕海龙,王良健. 金融发展影响区域绿色发展的机理——基于生态效率和空间计量的研究[J].地理研究,2014,33(3):532-545.
[19] 岳书敬,邹玉琳,胡姚雨. 产业集聚对中国城市绿色发展效率的影响[J].城市问题,2015(10):49-54.
[20] 赵领娣,张磊,徐乐,等. 人力资本、产业结构调整与绿色发展效率的作用机制[J].中国人口·资源与环境,2016,26(11):106-115.
[21] 于成学,葛仁东. 资源开发利用对地区绿色发展的影响研究[J].中国人口·资源与环境,2015,25(6):121-126.
[22] 朱美青,史文娇,黄宏胜. 江西省绿色发展区划[J].应用生态学报,2017,28(8):2 687-2 696.
[23] 甄霖,杜秉贞,刘纪远,等. 国际经验对中国西部地区绿色发展的启示:政策及实践[J].中国人口·资源与环境,2013,23(10):8-17.
[24] 肖建红,王敏,于庆东,等. 海岛旅游绿色发展生态补偿标准研究——以浙江舟山普陀旅游金三角为例[J].长江流域资源与环境,2016,25(8):1 247-1 255.
[25] 樊杰. 中国主体功能区划方案[J].地理学报,2015,70(2):186-201.
[26] 赵丹阳,佟连军,仇方道,等. 松花江流域城市用地扩张的生态环境效应[J].地理研究,2017,36(1):74-84.
[27] 朱一中,曹裕. 基于PSR模型的广东省城市土地集约利用空间差异分析[J].经济地理,2011,31(8):1 375-1 380.
[28] 高珊,黄贤金. 基于PSR框架的1953~2008 年中国生态建设成效评价[J].自然资源学报,2010,25(2):341-350.
[29] 苏利阳,郑红霞,王毅. 中国省际工业绿色发展评估[J].中国人口·资源与环境,2013,23(8):116-122.
[30] 李汝资,宋玉祥,李雨停,等. 近10a来东北地区生态环境演变及其特征研究[J].地理科学,2013,33(8):935-941.
[31] 郭付友,佟连军,魏强,等. 吉林省松花江流域产业系统环境适应性时空分异与影响因素[J].地理学报,2016,71(3):459-470.
[32] 张明华,郑元文. 近10年来山东省区域经济发展差异时空演变及驱动力分析[J].经济地理,2013,33(1):79-85.
[33] 杜挺,谢贤健,梁海艳,等. 基于熵权TOPSIS和GIS的重庆市县域经济综合评价及空间分析[J].经济地理,2014,34(6):40-47.
[34] Wang J F,Hu Y.Environmental health risk detection with GeogDetector[J].Environmental Modelling and Software,2005,20(10):114-115.
[35] Wang J F,Li X H,Christakos G,et al.Geographical detectors-based health risk assessment and its application in the neural tube defects study of the Heshun Region,China[J].International Journal of Geographical Information Science,2010,24(1):107-127.
[36] 王劲峰,徐成东. 地理探测器:原理与展望[J].地理学报,2017,72(1):116-134.
[37] 吕晨,蓝修婷,孙威. 地理探测器方法下北京市人口空间格局变化与自然因素的关系研究[J].自然资源学报,2017,32(8):1 385-1 397.
[38] 甘静,郭付友,陈才,等. 2000年以来东北地区城市化空间分异的时空演变分析[J].地理科学,2015,35(5):565-575.