甘肃省基本公共服务与人口城镇化的资源配置效率和协调发展研究

干旱区地理 ›› 2017, Vol. 40 ›› Issue (5): 1118-1126.

• 区域发展 • 上一篇

甘肃省基本公共服务与人口城镇化的资源配置效率和协调发展研究

初雪^1,2, 陈兴鹏^1,2, 贾卓^1,2, 李晨曦^1,2

1 兰州大学资源环境学院, 甘肃兰州 730000;
2 兰州大学西部循环经济研究中心, 甘肃兰州 730000

收稿日期:2017-05-11 修回日期:2017-07-23 出版日期:2017-09-25
通讯作者: 陈兴鹏(1963-),男,甘肃庆阳人,教授,博士生导师,主要研究方向:生态经济、区域开发、资源环境管理Email:chenxp@lzu.edu.com
作者简介:初雪(1992-)女,山东烟台人,硕士研究生,主要研究方向:公共服务、资源环境管理.Email:chuxuelzu@sina.com
基金资助:
国家自然科学基金资助项目（41471462）

Allocative efficiency and coordinated development between basic public service and population urbanization in Gansu Province

CHU Xue^1,2, CHEN Xing-peng^1,2, JIA Zhuo^1,2, LI Chen-xi^1,2

1 College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, Gansu, China;
2 Research Institute for Circular Economy in Western China, Lanzhou University, Lanzhou 730000, Gansu, China

Received:2017-05-11 Revised:2017-07-23 Online:2017-09-25

摘要/Abstract

摘要： 以甘肃省为例，构建了基本公共服务和人口城镇化的互动关系模型，运用网络DEA模型探究基本公共服务子系统、人口城镇化子系统以及总系统的资源配置效率，并对地区差异进行了分析。研究发现：2005-2014年甘肃省各地区基本公共服务的效率值略微下降，人口城镇化的效率值明显提升，而总系统的效率值则较为平稳略有上升，人口城镇化系统的效率优于基本公共服务系统和总系统的效率。甘肃省基本公共服务系统和总系统效率的地区差异先增大后减小，而人口城镇化子系统效率的地区差异不断减小。研究结果对于西部欠发达地区实现新型城镇化建设过程的资源合理配置，以及实现多系统协调发展具有一定的借鉴意义。

关键词: 熵权法, 网络DEA模型, 基本公共服务, 人口城镇化, 甘肃省

Abstract: Urbanization is an important process for redistribution of productive factors in space and optimal resource allocation. The content of urbanization not only means centralization of population, but also means the change of economy, space, land, people's livelihood, public service, ecological environment, and is an important symbol of national modernization degree. The current policy named new type urbanization in China emphasizes on people's livelihood development rather than population urbanization and land urbanization. Development speed and optimal distribution of basic public service resource are significant in improving urbanization quality, especially for western region in China where the urbanization rate and basic public service development are usually very low. Therefore, in this paper, taking Gansu Province as an example, the development level of basic public service was evaluated by entropy method. The major indicators of basic public service evaluation system include infrastructure, educational and medical resources. Then a coupling model between basic public service and population urbanization was proposed. Technical efficiency, pure technical efficiency and scale efficiency of the basic public service system, population urbanization system and the total system in Gansu Province were investigated using network DEA model, and the spatial-temporal differences of technical efficiency were analyzed. The results show as follows:(1)Urbanization level of Gansu Province has been improved, but the development of the infrastructure, the educational and medical resource level in basic public service lagged and the overall system development level was low. The efficiency of basic public service system in different regions decreased slightly, while efficiency of population urbanization increased obviously, and the efficiency of total system increased smoothly and slightly in 2005-2014. The efficiency of population urbanization system was superior to the efficiency of basic public service system and the total system.(2)The regional difference of the efficiency of population urbanization system in Gansu Province decreased, but a remarkable regional difference existed for basic public service efficiency. The regional differences of efficiency of basic public service and the overall system increased at first and then decreased in the past ten years. The same temporal change characteristics of efficiency's standard deviation between basic public service and the overall system reveals that the regional difference of the basic public service system was the major reason for regional difference of the overall system.(3)During the construction process of new type urbanization in Gansu Province, more attention should be paid on the basic public service system. Optimizing the regional fiscal expenditure scale and structure, narrowing the regional differences of technical efficiency and development level of basic public service system are the inevitably choices for achieving harmonious development of basic public service and population urbanization. This paper has a certain referring significance for the undeveloped areas to achieve proper allocation of resources and harmonious development of multi-system in the progress of new type urbanization.

Key words: entropy method, network DEA model, basic public service, population urbanization

中图分类号:

F299.21

初雪, 陈兴鹏, 贾卓, 李晨曦. 甘肃省基本公共服务与人口城镇化的资源配置效率和协调发展研究[J]. 干旱区地理, 2017, 40(5): 1118-1126.

CHU Xue, CHEN Xing-peng, JIA Zhuo, LI Chen-xi. Allocative efficiency and coordinated development between basic public service and population urbanization in Gansu Province[J]. , 2017, 40(5): 1118-1126.

参考文献

[1] WANG X R, HUI E C M, CHOGUILL C, et al. The new urbanization policy in China:Which way forward?[J]. Habitat International, 2015, 47:279-284.

[2] 潘爱民, 刘友金. 湘江流域人口城镇化与土地城镇化失调程度及特征研究[J]. 经济地理, 2014, 34(5):63-68[. PAN Aimin, LIU Youjin. The degree of imbalance between population urbanization and land urbanization of Xiangjiang River Basin[J]. Economic Geography, 2014, 34(5):63-68.]

[3] 庞瑞秋, 腾飞, 魏冶. 基于地理加权回归的吉林省人口城镇化动力机制分析[J]. 地理科学, 2014, 34(10):1210-1217[. PANG Ruiqiu, TENG Fei, WEI Ye. A GWR-based study on dynamic mechanism of population urbanization in Jilin Province[J]. Scientia Geographica Sinica, 2014, 34(10):1210-1217.]

[4] JIA S, WANG C, LI Y, et al. The urbanization efficiency in Chengdu City:An estimation based on a three-stage DEA model[J]. Physics and Chemistry of the Earth, Parts A/B/C, 2017.

[5] 杨晶, 杜宏茹, 楚新正. 基于DEA方法对新疆城镇发展效率的空间差异研究[J]. 干旱区地理, 2015, 38(5):1061-1068.[YANG Jing, DU Hongru, CHU Xinzheng. Spatial difference analysis of urban scale efficiencies in Xinjiang[J]. Arid Land Geography, 2015, 38(5):1061-1068.]

[6] CHEN M, LIU W, LU D. Challenges and the way forward in China's new-type urbanization[J]. Land Use Policy, 2016, 55:334-339.

[7] 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[. HAN Zenglin, LI Bin, ZHANG Kunling. Evaluation and spatial analysis of the equalization of basic public service in urban and rural areas in China[J]. Geographical Research, 2015, 34(11):2035-2048.]

[8] 文斌, 张小雷, 杨兆萍, 等. 欠发达地区旅游公共服务供给演化及驱动机制探讨[J]. 干旱区地理, 2015, 38(6):1282-1289.[WEN bin, ZHANG xiaolei, YANG zhaoping, et al. Discussion on evolution and driving mechanism of tourism public service supply in underdeveloped area[J]. Arid Land Geography, 2015, 38(6):1282-1289.]

[9] 吴根平. 我国城乡一体化发展中基本公共服务均等化的困境与出路[J]. 农业现代化研究, 2014, 35(1):33-37[. WU Genping. Predicament and outlet of basic public services equalization of city and rural synchronous development in China[J]. Research of Agricultural Modernization, 2014, 35(1):33-37.]

[10] 王贺封, 石忆邵, 尹昌应. 基于DEA模型和Malmquist生产率指数的上海市开发区用地效率及其变化[J]. 地理研究, 2014, 33(9):1636-1646.[WANG Hefeng, SHI Yishao, YIN Changying. Land use efficiencies and their changes of Shanghai's development zones employing DEA model and Malmquist productivity index[J]. Geographical Research, 2014, 33(9):1636-1646.]

[11] 杨青山, 张郁, 李雅军. 基于DEA的东北地区城市群环境效率评价[J]. 经济地理, 2012, 32(9):51-55+60[. YANG Qingshan, ZHANG Yu, LI Yajun. Research on environmental efficiency evaluation of urban agglomerations in Northeast China based on DEA model[J]. Economic Geography, 2012, 32(9):51-55+60.]

[12] FARE R, GROSSKOPF S. Intertemporal production frontiers:with dynamic DEA[J]. Journal of the Operational Research Society, 1997, 48(6):656-656.

[13] TONE K, TSUTSUI M. Network DEA:a slacks-based measure approach[J]. European Journal of Operational Research, 2009, 197(1):243-252.

[14] LEE B L, WORTHINGTON A C. A network DEA quantity and quality-orientated production model:An application to Australian university research services[J]. Omega, 2016, 60:26-33.

[15] LI W H, LIANG L, COOK W D. Measuring efficiency with products, by-products and parent-offspring relations:A conditional two-stage DEA model[J]. Omega, 2017, 68:95-104.

[16] 张健, 杨佳伟, 崔海洋. 基于网络DEA模型的我国区域生态效率评价研究[J]. 软科学, 2016, 30(8):15-19[. ZHANG Jian, YANG Jiawei, GUI Haiyang. Research on the regional ecological efficiency evaluation based on the network DEA model in China[J]. Soft Science, 2016, 30(8):15-19.]