This paper examines the privatization, implemented by the effects of state-owned enterprises （SOE） Chinese government in the 1990s, on enterprise efficiency for a sample of non-privatized SOEs and privatized ex-SOEs...This paper examines the privatization, implemented by the effects of state-owned enterprises （SOE） Chinese government in the 1990s, on enterprise efficiency for a sample of non-privatized SOEs and privatized ex-SOEs. The study calculates input-oriented DEA meta-frontier efficiency scores, after accounting for heterogeneity in technology across groups. These scores are used to test whether or not one group＇s technology dominates the other. A measure of additional input saving is also provided if these enterprises have access to unrestricted rneta-technology. The analysis of the Chinese pharmaceutical industry reveals that privatization has not improved enterprise efficiency, at least in the short run. Almost 56% of inputs could be proportionally saved if these privatized ex-SOEs had been efficient, relative to the recta-production technology while non-privatized SOEs could proportionally save only 51%. Privatized ex-SOEs had less ability to access to meta-technology. This finding could be explained by subsequent observations that China, at the time of our analysis, did not have well-established intellectual property rights and formal drug approval procedures; these two factors are important driving forces for developing joint ventures with foreign investors to gain additional capital funding and technology transfer. Broadly speaking, our results are consistent with the subsequent shakeup in the Chinese pharmaceutical industry.展开更多
A challenge in the convergence of heterogeneous networks is how to combine the ubiquitous resources and provide the diversified individual services. This paper designs a market model for aggregating reconfiguration in...A challenge in the convergence of heterogeneous networks is how to combine the ubiquitous resources and provide the diversified individual services. This paper designs a market model for aggregating reconfiguration in heterogeneous networks based on the tradeoff between resource allocation and consumers＇ requirement. To unify the benefits of operators and consumers, a novel Stackelberg-based dynamic incentive pricing algorithm is proposed. The results of the theoretical analysis and simulation demonstrate that the proposed strategy provides incentive for cooperation by means of appropriate resource allocation, and improves the utilization of network resources, thereby effectively realizing the optimization of the whole network performance.展开更多
文摘This paper examines the privatization, implemented by the effects of state-owned enterprises （SOE） Chinese government in the 1990s, on enterprise efficiency for a sample of non-privatized SOEs and privatized ex-SOEs. The study calculates input-oriented DEA meta-frontier efficiency scores, after accounting for heterogeneity in technology across groups. These scores are used to test whether or not one group＇s technology dominates the other. A measure of additional input saving is also provided if these enterprises have access to unrestricted rneta-technology. The analysis of the Chinese pharmaceutical industry reveals that privatization has not improved enterprise efficiency, at least in the short run. Almost 56% of inputs could be proportionally saved if these privatized ex-SOEs had been efficient, relative to the recta-production technology while non-privatized SOEs could proportionally save only 51%. Privatized ex-SOEs had less ability to access to meta-technology. This finding could be explained by subsequent observations that China, at the time of our analysis, did not have well-established intellectual property rights and formal drug approval procedures; these two factors are important driving forces for developing joint ventures with foreign investors to gain additional capital funding and technology transfer. Broadly speaking, our results are consistent with the subsequent shakeup in the Chinese pharmaceutical industry.
基金Supported by the National High-Tech Research & Development Program of China (Grant No. 2009AA01Z262)the National Basic Research Program of China (Grant No. 2009CB320400)+1 种基金the National Natural Science Foundation of China (Grant No. 60971125) Beijing Municipal Education Commission (Grant No. 050900407)
文摘A challenge in the convergence of heterogeneous networks is how to combine the ubiquitous resources and provide the diversified individual services. This paper designs a market model for aggregating reconfiguration in heterogeneous networks based on the tradeoff between resource allocation and consumers＇ requirement. To unify the benefits of operators and consumers, a novel Stackelberg-based dynamic incentive pricing algorithm is proposed. The results of the theoretical analysis and simulation demonstrate that the proposed strategy provides incentive for cooperation by means of appropriate resource allocation, and improves the utilization of network resources, thereby effectively realizing the optimization of the whole network performance.
