本文采用超效率DEA方法对我国2001-2008年各省市的金融机构投入产出效率进行评价,分别考察了技术效率、纯技术效率和规模效率,进而采用面板数据分析方法考察各地区的金融机构效率与经济水平的相关性。研究表明:我国大部分省市的金融机构处于规模报酬递增区域,仅较为发达的东部部分省市已处于规模报酬递减区域;协整检验未发现金融机构效率与其所在地区经济水平具有长期协整关系;Granger因果检验表明经济水平是金融机构效率的Granger原因,反之不然;面板模型估计结果显示我国经济水平的提高总体上带动了所在地区金融机构技术效率和纯技术效率的提高;经济水平过高或过低都可能提高金融机构的技术效率和纯技术效率,但都不利于金融机构规模效率的提高。
Abstract
The super-efficiency DEA methods are employed to evaluate the efficiency of financial institutions in every province of China from 2001 to 2008. The technical efficiency, pure technical efficiency, and scale efficiency of financial institutions are investigated, respectively and then the relationship between the efficiency and economic level of regions is examined using panel data analysis methods. The results show that financial institutions of the majority of provinces are increasing returns to scale and only some of provinces in the eastern China are decreasing returns to scale. The cointegration test results do not imply that there is a long-term cointegration relationship between the efficiency of financial institutions and economic level of regions. Granger causality tests show that economic level is the Granger cause of the efficiency of financial institutions. The results of panel data estimation show that increasing the economic level of a region in China improves the technical efficiency and pure technical efficiency of financial institutions of the region. The higher or lower economic level may be in favor of improving the technical efficiency and pure technical efficiency of financial institutions of a region, but it is harmful to the scale efficiency.
关键词
金融机构 /
效率 /
经济水平 /
面板数据 /
DEA
Key words
financial institution /
efficiency /
economic level /
panel data /
DEA
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基金
教育部哲学社会科学研究重大课题攻关项目(08JZD0016, 2009-2011);国家自然科学基金创新群体科学基金项目(70921001/G0104, 2010-2012);国家自然科学基金青年基金项目 (71001108/G0114, 2011-2013)。
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