This paper applies a stochastic translog production function to examine the underlying causes of technical inefficiency for 28 provinces in the Chinese mainland over the period 1970-2011.We find that inefficiency was ...This paper applies a stochastic translog production function to examine the underlying causes of technical inefficiency for 28 provinces in the Chinese mainland over the period 1970-2011.We find that inefficiency was present in production and several relevant explanatory variables contributed to it.Specifically,we find that the provinces with higher level of human capital,higher engagement in international trade,a further relaxation of the household registration(hukou)system and a smaller government size tended to lie closer to the national frontier.In addition,public infrastructure was not productive and we find no evidence to support the general view that state-owned enterprises(SOEs)were operating relatively inefficiently when compared to non-SOEs.展开更多
This paper analyzes the relationship between transportation infrastructure and total factor productivity (TFP)growth in China with the spatial econometrics of panel data.The results of the empirical study show that th...This paper analyzes the relationship between transportation infrastructure and total factor productivity (TFP)growth in China with the spatial econometrics of panel data.The results of the empirical study show that there is anobvious spatial autocorrelation among China’s interlocal TFP from 1997 to 2007.Transportation infrastructure hasa positive impact on TFP in China; the addition of railway and road infrastructure caused China’s TFP to increase11.075 percentage points from 2001-07, making up 59.10% of TFP’s amplification.Freeways and first-class roadinfrastructure’s positive impacts are more obvious; direct effects are only 25.7% while indirect effects are 74.3%.Railinfrastructure had persistent positive impacts on China’s TFP from 2001-07; freeway infrastructure had persistentpositive impacts on China’s TFP from 1997-2007, but other road infrastructure has not shown these persistent effects.展开更多
本文基于Battese and Coelli(1995)提出的随机前沿生产函数模型,构建了农业FDI影响下的面板数据随机前沿函数模型,根据1994-2010年的省际面板数据,实证分析了农业FDI对中国农业全要素生产率的影响。研究表明,农业FDI对中国农业技术效率...本文基于Battese and Coelli(1995)提出的随机前沿生产函数模型,构建了农业FDI影响下的面板数据随机前沿函数模型,根据1994-2010年的省际面板数据,实证分析了农业FDI对中国农业全要素生产率的影响。研究表明,农业FDI对中国农业技术效率和农业技术进步均具有显著的正向影响,从而在总体上促进了中国农业全要素生产率的增长;农业资源利用、农业劳动力投入质量、农业资本投入和政府对农业的支持对中国农业技术效率均具有显著的正向影响,农业劳动力投入数量和自然灾害则对中国农业技术效率均具有显著的负向影响;中国农业在总体上出现了技术进步与技术效率下降并存的局面。最后,根据研究结论提出了相应的政策启示。展开更多
基金supported by the Fundamental Research Funds for the Central Universitiesthe Research Funds of Renmin University of China(Project No.:13XNJ017)
文摘This paper applies a stochastic translog production function to examine the underlying causes of technical inefficiency for 28 provinces in the Chinese mainland over the period 1970-2011.We find that inefficiency was present in production and several relevant explanatory variables contributed to it.Specifically,we find that the provinces with higher level of human capital,higher engagement in international trade,a further relaxation of the household registration(hukou)system and a smaller government size tended to lie closer to the national frontier.In addition,public infrastructure was not productive and we find no evidence to support the general view that state-owned enterprises(SOEs)were operating relatively inefficiently when compared to non-SOEs.
文摘This paper analyzes the relationship between transportation infrastructure and total factor productivity (TFP)growth in China with the spatial econometrics of panel data.The results of the empirical study show that there is anobvious spatial autocorrelation among China’s interlocal TFP from 1997 to 2007.Transportation infrastructure hasa positive impact on TFP in China; the addition of railway and road infrastructure caused China’s TFP to increase11.075 percentage points from 2001-07, making up 59.10% of TFP’s amplification.Freeways and first-class roadinfrastructure’s positive impacts are more obvious; direct effects are only 25.7% while indirect effects are 74.3%.Railinfrastructure had persistent positive impacts on China’s TFP from 2001-07; freeway infrastructure had persistentpositive impacts on China’s TFP from 1997-2007, but other road infrastructure has not shown these persistent effects.
文摘本文基于Battese and Coelli(1995)提出的随机前沿生产函数模型,构建了农业FDI影响下的面板数据随机前沿函数模型,根据1994-2010年的省际面板数据,实证分析了农业FDI对中国农业全要素生产率的影响。研究表明,农业FDI对中国农业技术效率和农业技术进步均具有显著的正向影响,从而在总体上促进了中国农业全要素生产率的增长;农业资源利用、农业劳动力投入质量、农业资本投入和政府对农业的支持对中国农业技术效率均具有显著的正向影响,农业劳动力投入数量和自然灾害则对中国农业技术效率均具有显著的负向影响;中国农业在总体上出现了技术进步与技术效率下降并存的局面。最后,根据研究结论提出了相应的政策启示。
