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论文作者:www.51lunwen.org论文属性:本科毕业论文 Thesis登出时间:2014-06-23编辑:felicia点击率:29937
论文字数:15460论文编号:org201406212306314741语种:中文 Chinese地区:中国价格:免费论文
关键词:sprung upsophisticatedtaken deep rootChinese banking industryprofound influence
摘要:自中国加入世贸组织,越来越多的外资银行如雨后春笋般在中国发展起来。大量的外资银行有能力在中国市场提供一个广泛的、完美的和复杂的和银行客户服务。,因此,他们已经深深扎根在中国银行业,对银行效率影响深远。此外,外资银行进入中国银行给中国市场带来了威胁,使当地银行面临巨大挑战。外资银行的进入刺激并促进了当地银行业的体制改革,推动了业务创新和银行效率的提高。
It can be assumed that a regional or national bank receives in a city through any one of the branches is the foreign exposure overall level. Therefore, there exist two formulas to decide FEI for different kinds of banks.To determine the benchmark, it is not very good to use cross-sectional maximums because of the various time t, so it would use the panel maximum to capture the changes of foreign banks number at the local levels, which is the foreign banking entities’ maximum number over the observation period.So the index would fall in the range of 0 to 1.
It defines the first formula for city banks.City bank bases and it often influence the cities’ banking activities where they are located. So the foreign banks’ influence is determined by the foreign banking entities’ numbers in the city. Therefore, FEI operating at city m for a city bank I in year t is:
It is the percentage of foreign banking entities’ number in year t existing in city m to the panel maximum N. It can be noted that branches of foreign bank are seen equally and treated to impose the same influence level on Chinese banks over time and across cities. For the reason explained above, the different formula can be used to express FEIs for regional and national banks. A regional or national bank i in year t with a lots of branches in cities m which belongs to M, M=(1,2…,k) owns the overall foreign exposure index of :
It can represent the percentage of the foreign banking entities’ maximum number in year t among k cities to the panel maximum.The maximum can be noted as Nt, which across M cities to express the foreign exposure’s overall degree in year t. That is based on the assumption that the foreign exposure’s highest level that through any one of their branches has influenced equally to the bank’s branches and headquarters’ performance.Compared to the previous formula, this method does not rely more on the assumption of homogeneity those branches of foreign bank across cities, and by increasing the numbers across cities, which loses the natural weights.It releases the priori assumption that foreign bank influence equally in the branches of domestic banks.It is a serious defect, which would lead this research to the method’s dismissal.When comparing and considering the influence of foreign bank, the city boundaries’ importance is highlighted. In this case, the foreign bank presence’ actual effect would be larger than is suggested according to the coefficients.
CHAPTER 4
EMPIRCAL MODEL
Chapter 4 – Empirical model
4.1Empirical model
Through using the improved foreign bank presence measure, this research aims to obtain a more accurate measureto express the foreign direct investment’ influence on Chinese banking’s performance. At first, it can construct the empirical model as follows:
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