| If a company is seen as a whole production-operation system, the conventional DEA models generally only consider inputs supplied to the system and the outputs produced from the system. However, there are more complex structures than simple single-stage systems in reality. Ignoring the operations of the internal processes will mislead the results. While some processes are inefficient, the system is still evaluated as efficient. So this study aims at building a modified multi-period two-stage DEA model. As far as the structure of the “black box†is concerned, the dynamic structure, where the operation of a DMU repeats form period to period linked by carryover activities, is also worth studying. Firstly, this paper combines network structure with dynamic efficiency measurement based on Kao’s parallel model. Second, considering the diversity of decomposition methods between system and stage efficiencies, this paper adapts above model with Novel’s model. Finally, this paper decomposes system and stage efficiencies into technical efficiency changes, frontier-shift changes and scale efficiency changes with Malmquist Index.Take China’s telecom industry as an example, this paper divided the whole system into two stages: the operation phase and the service phase, based on the provincial panel data of 31 provinces and regions in China during 2005 and 2011. The results showed that the development level of the eastern region was in a leading position, but the catching rate of western regions was speeding up. The overall productive and operation efficiency turned out DEA effective both in 2008 and 2010, but the development trends during prophase and anaphase were not impressive. The second-stage efficiencies tended to be decreasing and were lower that the first-stage efficiencies for most provinces and regions. Last but not least, the changes in technology advancement brought more important influences on productivity-operation efficiency of China’s telecom industry. |
PDF Full Text Request