环境约束下山东半岛蓝色经济区城市效率评价研究
发布时间:2018-06-29 00:48
本文选题:山东半岛 + 蓝色经济区 ; 参考:《安徽工业大学》2014年硕士论文
【摘要】:城市效率是衡量城市发展程度和质量的重要指标,提高城市效率才能实现城市又好又快发展。2011年1月,国务院批复《山东半岛蓝色经济区发展规划》,蓝色经济区建设上升为国家战略,区域内城市联系更为紧密,需从全局部署各城市的协调发展,推动半岛城市群一体化进程。本课题在DEA(Data Envelopment Analysis,DEA)基本原理和模型的基础上,以山东半岛蓝色经济区7个城市为样本,对环境约束下的城市效率进行评价研究,分析样本城市发展现状并建立符合其特点的指标体系,分别用经典DEA方法和Malmquist指数测算样本城市效率并进行相关对比分析。从分析结果可以看出,环境约束对于城市效率有很大影响,忽略环境约束得到的城市效率高于实际效率。从计算结果的总体特征来看,2005-2012年7市综合效率均偏离最佳状态;而7市的资源配置和要素利用达到了相对较高的水平;但城市规模同综合效率趋势相同均属无效。从各市比较结果看出,4城市综合效率增长显著;青岛和潍坊的纯技术效率有所提升;而东营市的规模效率相对最高。Malmquist指数计算结果显示,2005-2012年样本城市平均全要素生产率总体呈下降的趋势,主要是由于区域内城市前沿科技的进步与创新不足导致;从各市平均Malmquist指数知,有4个样本城市年平均Malmquist指数增长率均值大于1呈上升趋势。根据对样本城市的横向比较以及对时间序列的纵向比较结果,找出影响因素并进行分析。最后根据上述分析结果和各市实际情况,分别从6个方面提出相应的对策建议,促进蓝色经济区城市效率的提高。
[Abstract]:Urban efficiency is an important index to measure the degree and quality of urban development. Increasing urban efficiency is the only way to achieve good and rapid urban development. The State Council approved the Development Plan of the Blue Economic Zone of Shandong Peninsula. The construction of the Blue Economic Zone has become a national strategy, and the urban links within the region are closer. Therefore, it is necessary to deploy the coordinated development of each city from the overall situation to promote the integration process of the peninsula urban agglomeration. Based on the basic principles and models of DEA (data Envelopment Analysis), this paper takes seven cities in the Blue Economic Zone of Shandong Peninsula as samples to evaluate the urban efficiency under environmental constraints. This paper analyzes the development situation of sample cities and establishes the index system according to their characteristics. The efficiency of sample cities is measured by classical DEA method and Malmquist index, and the correlation analysis is carried out. From the analysis results, it can be seen that environmental constraints have a great impact on urban efficiency, the urban efficiency obtained by ignoring the environmental constraints is higher than the actual efficiency. From the overall characteristics of the calculation results, the overall efficiency of the seven cities deviated from the best state from 2005 to 2012, while the resource allocation and the utilization of the elements reached a relatively high level in the seven cities, but the same trend of the urban scale and the comprehensive efficiency was ineffective. From the comparison of different cities, we can see that the comprehensive efficiency of the four cities has increased significantly, and the pure technical efficiency of Qingdao and Weifang has been improved. The result of the scale efficiency of Dongying city is the highest. Malmquist index shows that the average total factor productivity of the sample cities decreased from 2005 to 2012, which is mainly due to the lack of scientific and technological progress and innovation in the frontier of the cities in the region. According to the average Malmquist index of each city, the average annual average Malmquist index growth rate of four sample cities is higher than 1. According to the results of horizontal comparison of sample cities and longitudinal comparison of time series, the influencing factors are found out and analyzed. Finally, according to the above analysis results and the actual situation of each city, the corresponding countermeasures and suggestions are put forward from six aspects to promote the urban efficiency of the blue economic zone.
【学位授予单位】:安徽工业大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:F299.27
【参考文献】
相关期刊论文 前2条
1 岳书敬;刘朝明;;人力资本与区域全要素生产率分析[J];经济研究;2006年04期
2 万燕鸣;;中国钢铁行业效率研究——基于2002—2008年数据的数据包络分析[J];技术经济;2011年02期
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