基于DEA模型的云南省金融资源配置效率评价研究

发布时间：2018-06-08 01:03

  本文选题：金融资源 + 技术效率　； 参考：《云南大学》2016年硕士论文

【摘要】：金融资源是现代经济资源的核心资源之一,金融资源的有效配置不仅对金融业本身的可持续发展,还是对其它经济资源的有效配置而言都具有重要作用。评价金融资源配置效率对地方产业发展、扶贫攻坚等具有现实指导作用。本文基于DEA模型对云南省金融资源配置有效性进行了评价,主要得出以下结论：首先,从云南省金融资源现状统计分析可知,云南省金融资源呈现出逐年递增的态势,但与四川省同期水平相比存在较大差距；此外,从云南省各州市而言,云南省金融资源分布不均衡,昆明地区金融资源规模具有绝对优势,其余州市参差不齐。云南省三大经济圈金融资源规模分布不均衡,滇中地区占据绝大多数,滇西南、滇西北地区金融资源较少。与云南省金融资源分布特征相对应,云南省个州市(区域)的经济发展水平与金融资源分布特征具有正相关性,即金融资源丰富地区经济增长较好,金融资源匮乏地区经济增长较差。其次,基于DEA模型的云南省金融资源配置效率评价可知,在样本期间内云南省省级层次的金融资源配置效率整体有效,云南省金融资源配置效率的提高主要在于技术进步;州市层级而言,云南省各州市金融资源配置效率存在差异,昆明地区金融资源丰富但效率较低,怒江、迪庆等地金融资源匮乏但其配置效率较高,各州市金融资源全要素生产率增长率均为正,生产率的提高主要取决于技术进步；从云南三大经济圈而言,云南省金融资源配置效率存在地区差异,滇中地区金融资源丰富而效率低下,滇西南地区金融资源匮乏但其效率较高,三大经济圈金融资源全要素生产率均为正,生产率的提高主要来自于技术进步。基于此,为提高云南省经济发展水平,优化产业结构,各金融供给主体应从信贷资金使用效率、金融覆盖、信用及技术创新等方面共同发力。
[Abstract]:Financial resources are one of the core resources of modern economic resources. The effective allocation of financial resources plays an important role not only in the sustainable development of the financial industry itself, but also in the effective allocation of other economic resources. Evaluation of the efficiency of financial resources allocation has a practical guiding effect on local industrial development and poverty alleviation. Based on DEA model, this paper evaluates the effectiveness of financial resources allocation in Yunnan Province, and draws the following conclusions: firstly, from the statistical analysis of the present situation of financial resources in Yunnan Province, we can see that the financial resources in Yunnan Province are increasing year by year. In addition, the distribution of financial resources in Yunnan Province is not balanced, the scale of financial resources in Kunming area has absolute advantage, and the other cities are uneven. The distribution of financial resources in the three economic circles of Yunnan Province is not balanced. The majority of financial resources are in central Yunnan, and the financial resources are less in southwest Yunnan and northwest Yunnan. Corresponding to the distribution characteristics of financial resources in Yunnan Province, the level of economic development and the distribution characteristics of financial resources are positively related to the level of economic development in various regions of Yunnan Province, that is, the economic growth in the regions with rich financial resources is better. Economic growth is poor in areas with scarce financial resources. Secondly, the evaluation of Yunnan financial resource allocation efficiency based on DEA model shows that the provincial level financial resource allocation efficiency is effective in the sample period, and the improvement of Yunnan financial resource allocation efficiency mainly lies in the technological progress. At the municipal level, there are differences in the allocation efficiency of financial resources in different cities of Yunnan Province. Kunming is rich in financial resources but low efficiency, Nujiang, Diqing and other places are short of financial resources, but their allocation efficiency is high. The growth rate of total factor productivity of financial resources in every city is positive, and the increase of productivity mainly depends on the technological progress. From the three economic circles of Yunnan, there are regional differences in the allocation efficiency of financial resources in Yunnan Province. The financial resources in central Yunnan are rich and inefficient. The financial resources in southwest Yunnan are scarce but their efficiency is high. The total factor productivity of financial resources in the three economic circles is all positive, and the increase of productivity comes mainly from technological progress. Based on this, in order to improve the level of economic development and optimize the industrial structure of Yunnan Province, all financial supply bodies should work together from the aspects of credit fund utilization efficiency, financial coverage, credit and technological innovation.
【学位授予单位】：云南大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：F832
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本文编号：1993658