Using a heterogeneity stochastic frontier model(HSFM),we empirically investigated the economic efficiency of Beijing-Tianjin-Hebei from 2003 to 2016 and its influencing factors.The key findings of the paper lie in:1)i...Using a heterogeneity stochastic frontier model(HSFM),we empirically investigated the economic efficiency of Beijing-Tianjin-Hebei from 2003 to 2016 and its influencing factors.The key findings of the paper lie in:1)in Beijing-Tianjin-Hebei,the overall economic and technological efficiency tended to increase in a wavelike manner,economic growth slowed down,and there was an obvious imbalance in economic efficiency between the different districts,counties and cities;2)the heterogeneity stochastic frontier production functions(SFPFs)of Beijing,Tianjin and Hebei were different from each other,and investment was still an important impetus of economic growth in Beijing-Tianjin-Hebei;3)economic efficiency was positively correlated with economic agglomeration,human capital,industrial structure,infrastructure,the informatization level,and institutional factors,but negatively correlated with the government role and economic opening.The following policy suggestions are offered:1)to improve regional economic efficiency and reduce the economic gap in Beijing-Tianjin-Hebei,governments must reduce their intervention in economic activities,stimulate the potentials of labor and capital,optimize the structure of human resources,and foster new demographic incentives;2)governments must guide economic factors that are reasonable throughout Beijing-Tianjin-Hebei and strengthen infrastructure construction in underdeveloped regions,thus attaining sustainable economic development;3)governments must plan overall economic growth factors of Beijing-Tianjin-Hebei and promote reasonable economic factors(e.g.,labor,resources,and innovations)across different regions,thus attaining complementary advantages between Beijing,Tianjin,and Hebei.展开更多
Based on micro survey data of 344 rapeseed farmers in 19 rapeseed counties of Hubei Province,with the aid of stochastic frontier production function model and efficiency loss model,this paper analyzed basic production...Based on micro survey data of 344 rapeseed farmers in 19 rapeseed counties of Hubei Province,with the aid of stochastic frontier production function model and efficiency loss model,this paper analyzed basic production situations,demographic characteristics of rapeseed farmers,technical efficiency loss,and main influencing factors. In Hubei Province,there are mainly following problems in rapeseed production: serious aging of rapeseed farmers; relatively scarce labors; the middle-aged and old farmers have higher technical efficiency level; with increase in farmer age,their technical efficiency firstly declines and then rises. In view of these situations,it came up with recommendations including raising educational level of rapeseed farmers to realize large scale economy and effectively reduce technical efficiency loss,and local government,specialized associations and agricultural machinery extension departments should provide proper technical guidance according to demands of farmers to reduce technical efficiency loss.展开更多
China is one of the world’s major exporters of fruit and vegetable products,and the expansion of fruit and vegetable exports is important for increasing agricultural income.Based on time-varying stochastic frontier g...China is one of the world’s major exporters of fruit and vegetable products,and the expansion of fruit and vegetable exports is important for increasing agricultural income.Based on time-varying stochastic frontier gravity model and trade inefficiency model,this paper empirically analyzes the influencing factors and trade efficiency of China’s fruit and vegetable products export to RCEP partners from 2001 to 2019.The results show that China’s GDP per capita,the population of importing countries,and common language conditions have positive effects on China’s fruit and vegetable products export to RCEP partners.GDP per capita of importing countries,the population of China,and geographical distance between trading parties hinder trade in fruit and vegetable products.The presence of trade inefficiencies constrains China’s fruit and vegetable products export to RCEP partners,with liner shipping connectivity and trade freedom having a positive relationship with export efficiency of fruit and vegetable products.Variable trade costs and fixed trade costs have a negative relationship with export efficiency of fruit and vegetable products,which hinder trade in fruit and vegetable products,while financial freedom and free trade agreements have no significant impact on export efficiency of fruit and vegetable products.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
基金Under the auspices of National Natural Science Foundation of China(No.41771131,41301116,41877523)Premium Funding Project for Academic Human Resources Development in Beijing Union University(No.BPHR2017CS13)
文摘Using a heterogeneity stochastic frontier model(HSFM),we empirically investigated the economic efficiency of Beijing-Tianjin-Hebei from 2003 to 2016 and its influencing factors.The key findings of the paper lie in:1)in Beijing-Tianjin-Hebei,the overall economic and technological efficiency tended to increase in a wavelike manner,economic growth slowed down,and there was an obvious imbalance in economic efficiency between the different districts,counties and cities;2)the heterogeneity stochastic frontier production functions(SFPFs)of Beijing,Tianjin and Hebei were different from each other,and investment was still an important impetus of economic growth in Beijing-Tianjin-Hebei;3)economic efficiency was positively correlated with economic agglomeration,human capital,industrial structure,infrastructure,the informatization level,and institutional factors,but negatively correlated with the government role and economic opening.The following policy suggestions are offered:1)to improve regional economic efficiency and reduce the economic gap in Beijing-Tianjin-Hebei,governments must reduce their intervention in economic activities,stimulate the potentials of labor and capital,optimize the structure of human resources,and foster new demographic incentives;2)governments must guide economic factors that are reasonable throughout Beijing-Tianjin-Hebei and strengthen infrastructure construction in underdeveloped regions,thus attaining sustainable economic development;3)governments must plan overall economic growth factors of Beijing-Tianjin-Hebei and promote reasonable economic factors(e.g.,labor,resources,and innovations)across different regions,thus attaining complementary advantages between Beijing,Tianjin,and Hebei.
文摘Based on micro survey data of 344 rapeseed farmers in 19 rapeseed counties of Hubei Province,with the aid of stochastic frontier production function model and efficiency loss model,this paper analyzed basic production situations,demographic characteristics of rapeseed farmers,technical efficiency loss,and main influencing factors. In Hubei Province,there are mainly following problems in rapeseed production: serious aging of rapeseed farmers; relatively scarce labors; the middle-aged and old farmers have higher technical efficiency level; with increase in farmer age,their technical efficiency firstly declines and then rises. In view of these situations,it came up with recommendations including raising educational level of rapeseed farmers to realize large scale economy and effectively reduce technical efficiency loss,and local government,specialized associations and agricultural machinery extension departments should provide proper technical guidance according to demands of farmers to reduce technical efficiency loss.
文摘China is one of the world’s major exporters of fruit and vegetable products,and the expansion of fruit and vegetable exports is important for increasing agricultural income.Based on time-varying stochastic frontier gravity model and trade inefficiency model,this paper empirically analyzes the influencing factors and trade efficiency of China’s fruit and vegetable products export to RCEP partners from 2001 to 2019.The results show that China’s GDP per capita,the population of importing countries,and common language conditions have positive effects on China’s fruit and vegetable products export to RCEP partners.GDP per capita of importing countries,the population of China,and geographical distance between trading parties hinder trade in fruit and vegetable products.The presence of trade inefficiencies constrains China’s fruit and vegetable products export to RCEP partners,with liner shipping connectivity and trade freedom having a positive relationship with export efficiency of fruit and vegetable products.Variable trade costs and fixed trade costs have a negative relationship with export efficiency of fruit and vegetable products,which hinder trade in fruit and vegetable products,while financial freedom and free trade agreements have no significant impact on export efficiency of fruit and vegetable products.
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.
