The low and slowly increasing soybean yield restricts the development of soybean production. Accurate measures of total factor productivity (TFP) for soybean production can be helpful in identifying conditions, instit...The low and slowly increasing soybean yield restricts the development of soybean production. Accurate measures of total factor productivity (TFP) for soybean production can be helpful in identifying conditions, institutions or policies that promote soybean production development in China. In this paper, TFP growth for soybean production was estimated for a panel data of 10 major soybean producing provinces from 2005 to 2017. Results reveal that TFP grew at an average rate of 1.3% over the whole period, with technical progress contributing 2.3% and efficiency change providing the other -1.0%. The change of TFP for soybean production over that time, whether increase or decline, was mainly derived by technical change except in three years (2005-2007). Positive TFP growth in the provinces of Liaoning and Inner Mongolia, and negative TFP growth in Hebei and Anhui were mainly driven by efficiency change, specifically scale efficiency change except pure technical efficiency in Liaoning.展开更多
Background:The pursuit of efficiency and productivity is one of the goals of health systems.In the era of Sustainable Development Goals and particularly the move towards universal health coverage,it is imperative to c...Background:The pursuit of efficiency and productivity is one of the goals of health systems.In the era of Sustainable Development Goals and particularly the move towards universal health coverage,it is imperative to curb wastage of resources to ensure sustainable access of the population to needed and effective health services without enduring financial hardship.This study aims to assess total factor productivity change of national health systems of 20 countries in the WHO’s Eastern Mediterranean Region.Methods:Data Envelopment Analysis(DEA)-based Malmquist index is used to assess total factor productivity change and its components-efficiency change and technical change.To assess the robustness of the Malmquist index estimates,bootstrapping was performed.Outputs used are life expectancy at birth for both sexes and infant mortality;while total expenditure on health per capita in international dollars(PPP)is used as a measure of input.Panel data for the period 2003-2014 was extracted from databases of the WHO and the World Bank.Results:In all but five countries covered in the study,a decline in the mean total factor productivity is observed during the period 2003-2014.The decline is driven by technical regress.In all countries,the technical change component of the Malmquist TFP index is less than unity(range:0.896 to 0.945).All countries exhibited growth in efficiency(efficiency change exceeding one)except two countries(Djibouti and Iraq).The growth in efficiency was mainly due to change in scale efficiency.Overall,total factor productivity in the region declined by 3.8%.This was due to a 9.1%decline in technical change,which overshadowed the 5.8%increase in efficiency.Three countries-Libya,Qatar and Yemen-showed a marginal growth in total factor productivity.There was no change in total factor productivity in Kuwait and Lebanon.Conclusion:The decline in total factor productivity over the study period is likely to hamper achieving the targets of Sustainable Development Goal 3 of ensuring healthy lives and promoting well-being for all at all ages.It is recommended that country-level studies on efficiency and productivity of health systems be conducted in order to intensively examine the determinants of inefficiency and productivity decline and implement appropriate interventions that could enhance efficiency and productivity.展开更多
Taking the relevant data of 27 provinces in China during 2013 and 2017 as samples,this paper firstly measured the agricultural total factor productivity( TFP) using Malmquist index method. Then,it built the panel data...Taking the relevant data of 27 provinces in China during 2013 and 2017 as samples,this paper firstly measured the agricultural total factor productivity( TFP) using Malmquist index method. Then,it built the panel data model,and empirically tested the impacts of agricultural TFP on the income gap between urban and rural residents. The results show that the improvement in agricultural TFP can promote the narrowing of the income gap between urban and rural residents,and the factors such as urbanization level and industrial structure also have significant impacts on the income gap between urban and rural residents. On the basis of these,it came up with recommendations,including increasing agricultural human capital investment and establishing agricultural production research institutions.展开更多
文摘The low and slowly increasing soybean yield restricts the development of soybean production. Accurate measures of total factor productivity (TFP) for soybean production can be helpful in identifying conditions, institutions or policies that promote soybean production development in China. In this paper, TFP growth for soybean production was estimated for a panel data of 10 major soybean producing provinces from 2005 to 2017. Results reveal that TFP grew at an average rate of 1.3% over the whole period, with technical progress contributing 2.3% and efficiency change providing the other -1.0%. The change of TFP for soybean production over that time, whether increase or decline, was mainly derived by technical change except in three years (2005-2007). Positive TFP growth in the provinces of Liaoning and Inner Mongolia, and negative TFP growth in Hebei and Anhui were mainly driven by efficiency change, specifically scale efficiency change except pure technical efficiency in Liaoning.
文摘Background:The pursuit of efficiency and productivity is one of the goals of health systems.In the era of Sustainable Development Goals and particularly the move towards universal health coverage,it is imperative to curb wastage of resources to ensure sustainable access of the population to needed and effective health services without enduring financial hardship.This study aims to assess total factor productivity change of national health systems of 20 countries in the WHO’s Eastern Mediterranean Region.Methods:Data Envelopment Analysis(DEA)-based Malmquist index is used to assess total factor productivity change and its components-efficiency change and technical change.To assess the robustness of the Malmquist index estimates,bootstrapping was performed.Outputs used are life expectancy at birth for both sexes and infant mortality;while total expenditure on health per capita in international dollars(PPP)is used as a measure of input.Panel data for the period 2003-2014 was extracted from databases of the WHO and the World Bank.Results:In all but five countries covered in the study,a decline in the mean total factor productivity is observed during the period 2003-2014.The decline is driven by technical regress.In all countries,the technical change component of the Malmquist TFP index is less than unity(range:0.896 to 0.945).All countries exhibited growth in efficiency(efficiency change exceeding one)except two countries(Djibouti and Iraq).The growth in efficiency was mainly due to change in scale efficiency.Overall,total factor productivity in the region declined by 3.8%.This was due to a 9.1%decline in technical change,which overshadowed the 5.8%increase in efficiency.Three countries-Libya,Qatar and Yemen-showed a marginal growth in total factor productivity.There was no change in total factor productivity in Kuwait and Lebanon.Conclusion:The decline in total factor productivity over the study period is likely to hamper achieving the targets of Sustainable Development Goal 3 of ensuring healthy lives and promoting well-being for all at all ages.It is recommended that country-level studies on efficiency and productivity of health systems be conducted in order to intensively examine the determinants of inefficiency and productivity decline and implement appropriate interventions that could enhance efficiency and productivity.
文摘Taking the relevant data of 27 provinces in China during 2013 and 2017 as samples,this paper firstly measured the agricultural total factor productivity( TFP) using Malmquist index method. Then,it built the panel data model,and empirically tested the impacts of agricultural TFP on the income gap between urban and rural residents. The results show that the improvement in agricultural TFP can promote the narrowing of the income gap between urban and rural residents,and the factors such as urbanization level and industrial structure also have significant impacts on the income gap between urban and rural residents. On the basis of these,it came up with recommendations,including increasing agricultural human capital investment and establishing agricultural production research institutions.
