城市地理与新型城镇化

哈长城市群县(市)高质量发展的时空演变与驱动力研究

展开
  • 1.哈尔滨师范大学 地理科学学院,中国黑龙江 哈尔滨 150025;
    2.东北师范大学 地理科学学院,中国吉林 长春 130024
杜悦(1996—),女,黑龙江望奎人,硕士,研究方向为区域可持续发展。E-mail:2086610136@qq.com

收稿日期: 2022-03-14

  修回日期: 2022-06-23

  网络出版日期: 2023-10-07

基金资助

黑龙江省哲学社会科学研究规划项目(21JLE323)

Dynamic Evolution and Driving Force of High-Quality Development in Harbin-Changchun Urban Agglomeration at the County Level

Expand
  • 1. College of Geographical Science,Harbin Normal University,Harbin 150025,Heilongjiang,China;
    2. College of Geographical Science,Northeast Normal University,Changchun 130024,Jilin,China

Received date: 2022-03-14

  Revised date: 2022-06-23

  Online published: 2023-10-07

摘要

县(市)高质量发展是新型城镇化的重要目标,是全面建设社会主义现代化国家的重要支撑。文章以哈长城市群63个县(市)为研究区域,从创新、协调、绿色、开放、共享五大维度构建指标体系,综合运用高质量发展测度模型、地理探测器等方法对2010—2019年哈长城市群县(市)高质量发展的动态演变与驱动力进行研究,得出如下结论:①2010—2019年哈长城市群县(市)高质量发展水平较低,五大维度均呈现出不同程度的下降态势,其中,创新驱动、协调有序、开放程度与共享繁荣四大维度呈波动下降态势,绿色发展维度呈“U型”发展趋势。在哈长城市群内属于黑龙江省的37个县(市)地区中,创新驱动、协调有序与共享繁荣维度均呈现下降趋势,绿色发展与开放程度维度则呈“U型”发展态势。在哈长城市群内属于吉林省的26个县(市)中,协调有序与共享繁荣维度呈持续下降趋势,创新驱动与绿色发展维度呈“U型”发展态势,开放程度维度呈先升后降的“倒U型”曲线。②哈长城市群县(市)高质量发展空间分异性显著,呈现团块式、圈层式的格局特征,县(市)高质量发展水平较高地区主要以块状形式分布在哈长城市群的西北及东南地区,高质量发展水平较低区域主要呈以东北—西南为走向的条带状分布,大部分县(市)高质量发展呈现集聚不明显、不平衡态势。③哈长城市群县(市)高质量发展的驱动力包括经济开放水平、产业结构、基础设施水平以及集聚能力,根据驱动力排序为经济开放水平>人口密度>产业结构>基础设施水平。各驱动因子对哈长城市群、隶属黑龙江省县(市)及隶属吉林省县(市)的驱动力大小和强度存在一定差异,经济开放水平是促进哈长城市群县(市)高质量发展的主要驱动力,经济开放水平与集聚能力是推动哈长城市群内隶属黑龙江省的县(市)高质量发展的关键驱动力,产业结构和基础设施水平是推进哈长城市群内隶属吉林省的县(市)高质量发展的重要驱动力。

本文引用格式

杜悦, 陈晓红, 刘艳军, 王颖, 朱萱, 刘爽 . 哈长城市群县(市)高质量发展的时空演变与驱动力研究[J]. 经济地理, 2022 , 42(8) : 62 -71 . DOI: 10.15957/j.cnki.jjdl.2022.08.007

Abstract

The high-quality development of counties is an important goal of new urbanization and an important support for building a socialist modern country in an all-round way. Taking 63 counties (county-level cities) of Harbin-Changchun urban agglomeration as the research area, this paper constructs an index system from the five dimensions of innovation, coordination, green, openness and sharing, and studies the dynamic evolution and driving force of the county-level high-quality development of Harbin-Changchun urban agglomeration in 2010-2019 by comprehensively using the high-quality development measurement model and the methods of spatial correlation and geographical detector. The following conclusions are drawn: 1) From 2010 to 2019, the high-quality development level of the counties (cities) of Harbin-Changchun urban agglomeration was relatively low, and the five dimensions all showed a downward trend in varying degrees. Among them, the four dimensions of innovation driven, orderly coordination, the degree of openness and shared prosperity showed a fluctuating downward trend, and the green development dimension showed a "U-shaped" development trend. Among the 37 counties (cities) of the Harbin-Changchun urban agglomeration in Heilongjiang Province, the dimensions of innovation driven, orderly coordination and shared prosperity all showed a downward trend, while the dimensions of green development and the degree of openness showed a "U-shaped" development trend. Among the 26 counties (cities) of the Harbin-Changchun urban agglomeration in Jilin Province, the dimension of orderly coordination and shared prosperity had a continuous downward trend, the dimension of innovation driven and green development had a "U-shaped" development trend, and the degree of openness had an "inverted U-shaped" curve. 2) The county-level high-quality development in Harbin-Changchun urban agglomeration had significant spatial differentiation, showing the pattern characteristics of agglomeration and circle. The areas with high-quality development level of the counties (cities) mainly distributed in the northwest and southeast of the Harbin-Changchun urban agglomeration in the form of blocks. The areas with low-quality development level mainly distributed in the direction of the northeast-southwest by the shape of strip. The high-quality development of most counties (cities) presented a situation of agglomeration and imbalance. 3)The driving forces of the county-level high-quality development in Harbin-Changchun urban agglomeration include the level of economic opening, industrial structure, infrastructure level and agglomeration capacity. The order of the driving forces from high to low is economic opening level, population density, industrial structure and infrastructure level. There are certain differences in the size and intensity of the driving forces of each driving factor in the Harbin-Changchun urban agglomeration and between two provinces. The economic openness level is the main driving force to promote the county-level high-quality development in the Harbin-Changchun urban agglomeration. The economic openness level and agglomeration capacity are the key driving forces to promote the county-level high-quality development in Heilongjiang Province of the Harbin-Changchun urban agglomeration, The industrial structure and infrastructure level are important driving factors to promote the county-level high-quality development in Jilin Province of the Harbin-Changchun urban agglomeration.

参考文献

[1] Gordon Mulligan,John Carruthers,Meagan Cahill.Urban quality of life and public policy:A survey[J]. Contributions to Economic Analysis,2004,266(266):729-802.
[2] Robert W,Marans.Quality of urban life & environmental sustainability studies:Future linkage opportunities[J]. Habitat International,2015,45:47-52.
[3] Muhammed Z,Abubakar I R.Improving the Quality of Life of Urban Communities in Developing Countries[C]//Responsible Consumption and Production:Encyclopedia of the UN Sustainable Development Goals,2019.
[4] Cui Min,Wang Ning.The effects of industry growth and government efficiency on environmental quality:The global perspective[J]. Emerging Markets Finance and Trade,2022,58(12):3516-3525.
[5] Valcárcel-Aguiar Beatriz,Pilar M.Evaluation and management of urban liveability:A goal programming based composite indicator[J].Social Indicators Research,2019,142(2):1-24.
[6] 张引,杨庆媛,李闯,等. 重庆市新型县域化发展质量评价与比较分析[J]. 经济地理,2015,35(7):79-86.
[7] 方创琳,王德利. 中国城市化发展质量的综合测度与提升路径[J]. 地理研究,2011,30(11):1931-1946.
[8] 杨新刚,张守文,强群莉. 安徽省县域城镇化质量的时空演变[J]. 经济地理,2016,36(4):84-91.
[9] 王富喜,毛爱华,李赫龙,等. 基于熵值法的山东省城镇化质量测度及空间差异分析[J]. 地理科学,2013,33(11):1323-1329.
[10] 王新越,宋飏,宋斐红,等. 山东省新型城镇化的测度与空间分异研究[J]. 地理科学,2014,34(9):1069-1076.
[11] 王怡睿,黄煌,石培基. 中国城镇化质量时空演变研究[J]. 经济地理,2017,37(1):90-97.
[12] 方创琳. 中国新型县域化高质量发展的规律性与重点方向[J]. 地理研究,2019,38(1):13-22.
[13] 张胜武,石培基,王祖静. 干旱区内陆河流域县域化与水资源环境系统耦合分析——以石羊河流域为例[J]. 经济地理,2012,32(8):142-148.
[14] 梁振民,陈才,刘继生,等. 东北地区城市化发展质量的综合测度与层级特征研究[J]. 地理科学,2013,33(8):926-934.
[15] 马静,李小帆,张红. 长江中游城市群城市发展质量系统协调性研究[J]. 经济地理,2016,36(7):53-63.
[16] 李磊,张贵祥. 京津冀城市群内城市发展质量[J]. 经济地理,2015(5):63-64.
[17] 徐丽婷,姚士谋,陈爽,等. 高质量发展下的生态城市评价——以长江三角洲城市群为例[J]. 地理科学,2019,39(8):1228-1237.
[18] 陈晓红,娄金男,王颖. 哈长城市群城市韧性的时空格局演变及动态模拟研究[J]. 地理科学,2020,40(12):2000-2009.
[19] 方大春,马为彪. 中国省际高质量发展的测度及时空特征[J]. 区域经济评论,2019(2):63-70.
[20] 宋宇宁,韩增林. 东北老工业地区城镇化质量与规模关系的空间格局——以辽宁省为例[J]. 经济地理,2013,33(11):40-45.
[21] 朱洪祥. 山东省城镇化发展质量测度研究[J]. 城市发展研究,2007(5):37-44.
[22] 欧向军,甄峰,叶磊,等. 江苏省城市化质量的区域差异时空分析[J]. 人文地理,2012,27(5):76-82.
[23] 李涛,廖和平,杨伟,等. 重庆市“土地、人口、产业”城镇化质量的时空分异及耦合协调性[J]. 经济地理,2015,35(5):65-71.
[24] 王雪芹,戚伟,刘盛和. 中国小城镇空间分布特征及其相关因素[J]. 地理研究,2020,39(2):319-336.
[25] 布孜热·甫拉提,张小雷,杜宏茹,等. 近30a来新疆城乡统筹及其与县域化作用关系的定量分析[J]. 干旱区地理,2011,34(4):707-712.
[26] 黄亚平,单卓然. 山区型县市城镇化质量评价模型及其应用研究——以湖北省为例[J]. 城市规划,2015,39(4):27-34.
[27] 郑华伟,刘友兆,王希睿. 中国县域化与土地集约利用关系的动态计量分析[J]. 长江流域资源与环境,2011,20(9):1029-1034.
[28] 陈明星,陆大道,张华. 中国城市化水平的综合测度及其动力因子分析[J]. 地理学报,2009,64(4):387-398.
[29] 尚正永,张小林,卢晓旭,等. 安徽省区域城市化格局时空演变研究[J]. 经济地理,2011,31(4):584-590.
[30] 何孝沛,梁阁,丁志伟,等. 河南省城镇化质量空间格局演变[J]. 地理科学进展,2015,34(2):257-264.
[31] 杨璐璐. 中部六省城镇化质量空间格局演变及驱动因素——基于地级及以上城市的分析[J]. 经济地理,2015,35(1):68-75.
[32] 叶裕民. 中国城市化质量研究[J]. 中国软科学,2001(7):28-32.
[33] 李明秋,郎学彬. 城市化质量的内涵及其评价指标体系的构建[J]. 中国软科学,2010(12):182-186.
[34] 陆大道. 地理学关于城镇化领域的研究内容框架[J].地理科学,2013,33(8):897-901.
[35] 孔凡文,许世卫. 论城镇化速度与质量协调发展[J]. 城市问题,2005(5):58-61.
[36] 杨忍,潘瑜鑫. 中国县域乡村脆弱性空间特征与形成机制及对策[J]. 地理学报,2021,76(6):1438-1454.
[37] 孙玉,程叶青,张平宇. 东北地区乡村性评价及时空分异[J]. 地理研究,2015,34(10):1864-1874.
[38] 马海涛,徐楦钫. 黄河流域城市群高质量发展评估与空间格局分异[J]. 经济地理,2020,40(4):11-18.
[39] 李金昌,史龙梅,徐蔼婷. 高质量发展评价指标体系探讨[J]. 统计研究,2019,36(1):4-14.
[40] 黑龙江省统计局. 黑龙江统计年鉴[M]. 北京:中国统计出版社,2012—2021.
[41] 吉林省统计局. 吉林统计年鉴[M]. 北京:中国统计出版社,2012—2021.
[42] 化祥雨,金祥荣,吕海萍,等. 高质量发展耦合协调时空格局演化及影响因素——以浙江省县域为例[J]. 地理科学,2021,41(2):223-231.
[43] 刘传明,马青山. 黄河流域高质量发展的空间关联网络及驱动因素[J]. 经济地理,2020,40(10):91-99.
[44] 赵宏波,岳丽,刘雅馨,等. 高质量发展目标下黄河流域城市居民生活质量的时空格局及障碍因子[J]. 地理科学,2021,41(8):1303-1313.
文章导航

/