In this paper, the authors study the association between firms＇ specific characteristics and performances for a sample of 320 American firms using a governance efficiency index, calculated by the stochastic frontier ...In this paper, the authors study the association between firms＇ specific characteristics and performances for a sample of 320 American firms using a governance efficiency index, calculated by the stochastic frontier analysis. The use of a latent class in the specification of the model, allowed detecting two groups of firms according to their specific characteristics： the firm size, the leverage, the dividend yield, and the return on equity （ROE）. The results of affectation equation show that the probability to be in the second group （the most efficient） is more important when the firm size, the dividend yield, and the ROE are high, while a high leverage level decreases the chance to be in the first group （the less efficient）.展开更多
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
文摘In this paper, the authors study the association between firms＇ specific characteristics and performances for a sample of 320 American firms using a governance efficiency index, calculated by the stochastic frontier analysis. The use of a latent class in the specification of the model, allowed detecting two groups of firms according to their specific characteristics： the firm size, the leverage, the dividend yield, and the return on equity （ROE）. The results of affectation equation show that the probability to be in the second group （the most efficient） is more important when the firm size, the dividend yield, and the ROE are high, while a high leverage level decreases the chance to be in the first group （the less efficient）.
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.
