應用隨機共同邊界分析法探討兩岸銀行業之分項投入效率

A Comparative Study of Disaggregate Input Efficiency of Banks in Taiwan and Mainland China: A Stochastic Metafrontier Analysis Application

自從MOU與ECFA生效後，兩岸銀行業的合作與競爭不斷加深。本文利用新的兩階段隨機共同邊界法來估計在不同國家的技術效率值，並將依組別而異的環境變數納入考量來評估兩岸56家銀行，分析2007-2011年總共五年的投入經營效率。本文將員工人數、總固定資產與總資金作為投入，總放款與總投資作為產出。實證結果發現：在勞動力投入方面，臺灣銀行業的平均效率值高於中國大陸。在總固定資產投入方面，中國大陸銀行的平均效率值高於臺灣地區。最後在總資金投入方面，臺灣銀行業的平均效率值普遍高於中國大陸。

After MOU and ECFA got effective, cooperation as well as competition in banking industry across Taiwan and China became deeper. This paper applies a new two-step stochastic frontier approach extended from Zhou et al. (2012) and Huang et al. (2014) to estimate technical efficiency scores for firms in different groups adopting distinct technologies. We estimate disaggregate input efficiency scores of the 56 banking companies from 2007 to 2011. The number of employees, total fixed asset and total funding are inputs, while the total loans and total investments are outputs. Our major empirical findings are as follows: The average labor efficiency score of banks in Taiwan is higher than that in mainland China. Banks in mainland China get a higher average fixed assets efficiency score. However, banks in Taiwan obtained a higher average total funding efficiency score.