Alternative Secondary Goals in Multiplicative Two-Stage Data Envelopment Analysis

Table 2

Dataset of 10 bank branches (reproduced from Zhou et al., 2013).

DMU		Inputs (X)			Intermediate (Z)		Outputs (Y)
No.	Branch	EM (10^3)	FA (￥10^8)	EX (￥10^8)	CR (￥10^8)	IL (￥10^8)	LO (￥10^8)	PR (￥10^8)
1	Maanshan	0.526	0.4775	0.3848	49.9174	5.4613	34.9897	0.8430
2	Anqing	0.713	1.2363	0.5547	37.4954	4.0825	20.6013	0.4864
3	Huangshan	0.443	0.4460	0.3419	20.9846	0.6897	8.6332	0.1288
4	Fuyang	0.638	1.2481	0.4574	45.0508	1.7237	9.2354	0.3019
5	Suzhou	0.575	0.7050	0.4036	38.1625	2.2492	12.0171	0.3138
6	Chuzhou	0.432	0.6446	0.4012	30.1676	2.3354	13.813	0.3772
7	Luan	0.510	0.7239	0.3709	26.5391	1.3416	5.0961	0.1453
8	Chizhou	0.322	0.3363	0.2334	16.1235	0.4889	5.9803	0.0928
9	Chaohu	0.423	0.6678	0.3471	22.1848	1.1767	9.2348	0.2002
10	Bozhou	0.256	0.3418	0.1594	13.4364	0.4064	2.5326	0.0057