构建了衡量城市公共服务供给水平与空间格局的指标体系,并借助空间杜宾模型,分析城市公共服务供给水平的空间效应以及影响因素。研究发现:(1)在时间维度上,城市公共服务供给水平总体上呈现出稳定增长态势;在空间格局上,多数城市公共服务供给水平的区间都处于较低和最低水平,且存在差异性。(2)城市公共服务供给水平呈现出明显的全局与局部空间自相关,且空间俱乐部的趋同特征明显。(3)空间杜宾模型回归结果表明,城市公共服务供给水平在空间上存在正向溢出效应;城市政府治理、人口密度、人口城镇化率、经济发展水平和产业结构对本地区城市公共服务供给水平产生正向作用,其中人口密度产生的影响最大,可以使本地区城市公共服务供给水平上升11.5%。而人口密度和人口城镇化率对周围城市公共服务供给水平具有显著的负向作用,会造成周围城市公共服务供给水平分别下降25.1%和9.44%。
The level of urban public service supply is an important factor affecting the healthy and stable development of a city, and its good spatial pattern helps to rationally allocate public resources and promote win-win development of urban cooperation. However, at present, the research on the spatial pattern and influencing factors of China's urban public service supply level is still insufficient. Therefore, this paper attempts to construct an index system to measure the level and spatial pattern of urban public service supply, and analyzes the spatial effect and influencing factors of urban public service supply level with the help of the spatial Durbin model. The research shows that: (1) From the perspective of time, the level of public service supply in Chinese cities generally shows a steady growth trend; from the perspective of spatial pattern, the level range of public service supply in most cities is at the lower and lowest levels, and there are differences. (2) The level of public service supply in Chinese cities shows obvious global and local spatial autocorrelation, and the convergence characteristics of spatial clubs are obvious. (3) The regression results of the spatial Durbin model show that the level of urban public service supply has a positive spillover effect in space; urban government governance capacity, population density, population urbanization rate, economic development level and industrial structure have a positive effect on cities in the region The level of public service supply, of which population density has the greatest impact, can increase the level of urban public service supply in the region by 11.5%. The population density and population urbanization rate have a significant negative effect on the supply level of public services in surrounding cities, which will cause the supply level of public services in surrounding cities to drop by 25.1% and 9.44%, respectively.
[1] 张学良. 中国交通基础设施促进了区域经济增长吗——兼论交通基础设施的空间溢出效应[J]. 中国社会科学, 2012(3): 60-77, 206.
[2] 刘寒波, 李晶, 柒江艺.公共服务空间溢出及其对要素流动的影响[J]. 财政研究, 2014(4): 22-25.
[3] 杨光 . 省际间基本公共服务供给均等化绩效评价[J]. 财经问题研究, 2015(1): 111-116.
[4] 成华, 尹金承 . 省域农村基本公共服务水平的测度及区域差异分析[J]. 统计与决策, 2019, 35(19): 100-103.
[5] 王东, 李金叶 . 中国基本公共服务效率区域差异及空间收敛性[J/OL]. [2023-01-16]. http://kns.cnki.net/kcms/detail/51.1268.g3.20220720.1537.013.html.
[6] 韩增林, 李彬, 张坤领 . 中国城乡基本公共服务均等化及其空间格局分析[J]. 地理研究, 2015, 34(11): 2035-2048.
[7] Domingues A R, Pires S M, Caeiro S, et al. Defining criteria and indicators for a sustainability label of local public services [J]. Ecological Indicators, 2015, 57: 452-464.
[8] 汪凡, 白永平, 周亮, 等. 中国基础教育公共服务均等化空间格局及其影响因素[J]. 地理研究, 2019, 38(2): 285-296.
[9] 钟少颖, 杨鑫, 陈锐 . 层级性公共服务设施空间可达性研究——以北京市综合性医疗设施为例[J]. 地理研究, 2016, 35(4): 731-744.
[10] 殷悦, 陆玉麒 . 城市地铁的空间结构与站点停车场所的布局优化——以南京市为例[J]. 经济地理, 2020, 40(7): 73-80.
[11] 钮心毅, 陈晨 . 郊区城镇基本公共服务空间均等和公正的测度[J]. 城市规划, 2018, 42(10): 42-50.
[12] 马慧强, 廉倩文, 韩增林, 等 . 基本公共服务-城镇化-区域经济耦合协调发展时空演化[J]. 经济地理, 2020, 40(5): 19-28.
[13] 常飞, 王录仓, 马玥, 等 . 城市公共服务设施与人口是否匹配?——基于社区生活圈的评估[J]. 地理科学进展, 2021, 40(4): 607-619.
[14] 兰峰, 肖琴, 达卉莉. 公共服务供给与人口结构特征的时空耦合分析[J]. 城市问题, 2021(2): 54-65.
[15] Talm S,Maarten H. Neighbourhood change and spatial polarization: the roles of increasing inequality and divergent urban development[J]. Cities,2018,82(12): 108-118.
[16] Nahrin K.Urban development policies for the provision of utility infrastructure: A case study of dhaka,bangla⁃desh[J].Utilities Policy, 2018, 54 (10): 107-114.
[17] 杨晨, 韩庆潇, 冯振 . 竞争行为、土地财政与地方公共服务提供——来自政府内、外部视角的空间面板数据分析[J]. 山西财经大学学报, 2017, 39(8): 1-14.
[18] Que W, Zhang W B, Liu S B. The spatial spillover effect of fiscal decentralization on local public provision: Mathematical application and empirical estimation[J]. Applied Mathematics and Computation, 2018, 331: 416-429.
[19] 宋美喆, 刘寒波 . 地方政府策略互动行为下的区域基本公共服务收敛性研究[J]. 中南大学学报(社会科学版), 2018, 24(1): 86-94.
[20] 陈昌盛, 蔡跃洲 . 中国政府公共服务:基本价值取向与综合绩效评估[J]. 财政研究, 2007(6): 20-24.
[21] 安体富, 任强 . 中国公共服务均等化水平指标体系的构建——基于地区差别视角的量化分析[J]. 财贸经济, 2008(6): 79-82.
[22] 李斌, 李拓, 朱业 . 公共服务均等化、民生财政支出与城市化——基于中国 286个城市面板数据的动态空间计量检验[J]. 中国软科学, 2015(6): 79-90.
[23] 俞可平 . 推进国家治理体系和治理能力现代化[J]. 前线, 2014(1): 5-8+13.
[24] 世界银行 . 1997 年世界发展报告:变革世界中的政府[M]. 北京: 中国财政经济出版社, 1997.
[25] 邱志强. 多元治理+机制创新: 地方政府治理能力提升的路径选择[J]. 江海学刊, 2015(6): 212-216.
[26] 宁骚 . 公共政策学[M]. 北京: 高等教育出版社, 2011: 13-15.
[27] 吴若冰, 马念谊. 政府质量: 国家治理现代化评价的结构性替代指标[J]. 社会科学家, 2015(1): 35-41.
[28] Zhuravskaya E V. Incentives to provide local public goods: Fiscal federalism. Russian Style[J]. Journal of Public Economics, 2000, 76(3): 337-368.
[29] 熊兴, 余兴厚, 蒲坤明. 长江经济带基本公共服务综合评价及其空间分析[J]. 华东经济理, 2019, 33(1): 51-61.
[30] 岳彦利, 罗明良, 张斌. 干热河谷冲沟DEM插值误差的空间分布研究[J]. 武汉大学学报(信息科学版), 2018, 43(7): 1122-1128.
[31] Getis A, Ord J K. The analysis of spatial association by use of distance statistics[J]. Geographical Analysis, 1992, 23(3): 189-206.
[32] Ord J K, Getis A. Local spatial autocorrelation statistics-distributional issues and an application[J]. Geographical Analysis, 1995, 27(4): 286-306.
[33] Anselin L. Spatial econometrics: Methods and models[M]. Boston: Kluwer Academic Publishers, 1988.
[34] Elhorst J P. Matlab software for spatial panels[J]. International Regional Science Review, 2014, 37(3): 389-405.
[35] Elhorst J P. Dynamic spatial panels: Models, methods and inferences[J]. Journal of Geographical System, 2012, 14(1) : 5-18.
[36] LeSage J, Pace R K. Introduction to spatial econometrics[M]. New York: CRC Press, 2009: 27-41.
[37] Mishra J, Attri V. Governance, public service delivery and trust in government[J]. Studies in Indian Politics, 2020, 8(2): 186-202.
[38] Tiebout C M. A pure theory of local expenditures[J]. Journal of political economy, 1956, 64(5): 416-424