This paper utilises the non-parametric frontier approach, data envelopment analysis, to analyse the technical and scale efficiency in Japanese banking using a recent cross-section sample. Efficiency analysis is conducted across individual banks, bank types and bank size groups. Following Berger and Humphrey [Eur. J. Oper. Res. 98 (1997) 175], problem loans are controlled for as an exogenous influence on bank efficiency. Powerful size-efficiency relationships are established with respect to both technical and scale efficiency. Furthermore, the logic of the recent large-scale merger wave in Japan is questioned as the larger (City) banks are generally found to be operating above the minimum efficient scale and to have limited opportunity to gain from eliminating X-inefficiencies. The opposite result is found for the smaller banks. Finally, the results suggest that controlling for the exogenous impact of problem loans is important in Japanese banking, especially for the smaller regional banks.

This paper assesses the relative technical efficiency of institutions operating in a market that has been significantly affected by environmental and market factors in recent years, the Hong Kong banking system. These environmental factors are specifically incorporated into the efficiency analysis using the innovative slacks-based, second stage Tobit regression approach advocated by Fried et al. [Fried, H.O., Schmidt, S.S., Yaisawarng, S., 1999. Incorporating the operating environment into a nonparametric measure of technical efficiency. Journal of Productivity Analysis 12, 249–267]. A further innovation is that we also employ Tone’s [Tone, K., 2001. A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research 130, 498–509] slacks-based model (SBM) to conduct the data envelopment analysis (DEA), in addition to the more traditional approach attributable to Banker, Charnes and Cooper (BCC) [Banker, R.D., Charnes, A., Cooper, W.W., 1984. Some models for estimating technical and scale efficiencies in data envelopment analysis. Management Science 30, 1078–1092]. The results indicate: high levels of technical inefficiency for many institutions; considerable variations in efficiency levels and trends across size groups and banking sectors; and also differential impacts of environmental factors on different size groups and financial sectors. Surprisingly, the accession of Hong Kong to the People’s Republic of China, episodes of financial deregulation, and the 1997/1998 South East Asian crisis do not seem to have had a significant independent impact on relative efficiency. However, the results suggest that the impact of the last-mentioned may have come via the adverse developments in the macroeconomy and in the housing market.