This research explores the question of how the three production factors, capital, labor, and land may impact the current level of cotton output on the Harran Plain, a major cotton production area in Turkey. The object...This research explores the question of how the three production factors, capital, labor, and land may impact the current level of cotton output on the Harran Plain, a major cotton production area in Turkey. The objective of this paper is to estimate a Translog production function and compare the results to those from a Cobb-Douglas specification. Nested tests we performed resulted in the conclusion that the constant returns to scale, weak separability and Cobb-Douglas hypotheses are all satisfied. Thus the Cobb-Douglas specification is a superior functional form yielding results more robust than those from the translog model. Dwelling on Cobb-Douglas estimation results, farm size is found the most influential variable determining cotton output, followed by the variable representing capital as the second influential. Results also demonstrate that the returns-to-scale parameter calculated for this sample is not statistically different from unity, suggesting that cotton production technology in this region exhibits constant returns to scale. This result is consistent with current literature findings that render support to an inverse relationship between farm size and productivity in developing countries.展开更多
Abstract： The aim of this paper is to investigate the relative contribution of technical efficiency, technological change and increased input use to the output growth of the Tunisian citrus growing farms using a stoc...Abstract： The aim of this paper is to investigate the relative contribution of technical efficiency, technological change and increased input use to the output growth of the Tunisian citrus growing farms using a stochastic frontier production function approach applied to panel data for the period 2003-2005. Knowledge of the relative contribution of factors productivity and input use to output growth and improvements in technical efficiency is crucial to provide a comprehensive view of the state of the citrus producing sector in the country and help farm managers and policy makers draw appropriate policy measures. The proposed methodology is based on the use of a flexible translog functional form. Results indicate that technical efficiency of production in citrus producing farms investigated ranges from a minimum of 11.19% to a maximum of 96.82% with an average technical efficiency estimate of 49.97%. This suggests that citrus producers may increase their production by as much as 50.03% through more efficient use of production inputs. Furthermore, the production is characterized by increasing returns to scale, which on average was 1.057. Finally, investigation of the sources of production growth reveals that the contribution of total factor productivity is found to be the main source of that growth.展开更多
This paper builds a stochastic frontier educational production function model, estimating the primary educational productivity with annual data of 31 provinces from 2007 to 2011. The conclusions are as follows： （1）...This paper builds a stochastic frontier educational production function model, estimating the primary educational productivity with annual data of 31 provinces from 2007 to 2011. The conclusions are as follows： （1） in educational production function, output elasticity of public educational expenditure exceeds private educational expenditure＇s. The degrees of contribution of public and private educational expenditure reflect that China should increase public educational expenditure. （2） regional educational technical efficiency is affected by both structure of educational expenditure and levels of regional economic growth. Primary educational technical efficiency of east, middle and west regions all tended to fall down during 2007 to 2011.展开更多
文摘This research explores the question of how the three production factors, capital, labor, and land may impact the current level of cotton output on the Harran Plain, a major cotton production area in Turkey. The objective of this paper is to estimate a Translog production function and compare the results to those from a Cobb-Douglas specification. Nested tests we performed resulted in the conclusion that the constant returns to scale, weak separability and Cobb-Douglas hypotheses are all satisfied. Thus the Cobb-Douglas specification is a superior functional form yielding results more robust than those from the translog model. Dwelling on Cobb-Douglas estimation results, farm size is found the most influential variable determining cotton output, followed by the variable representing capital as the second influential. Results also demonstrate that the returns-to-scale parameter calculated for this sample is not statistically different from unity, suggesting that cotton production technology in this region exhibits constant returns to scale. This result is consistent with current literature findings that render support to an inverse relationship between farm size and productivity in developing countries.
文摘Abstract： The aim of this paper is to investigate the relative contribution of technical efficiency, technological change and increased input use to the output growth of the Tunisian citrus growing farms using a stochastic frontier production function approach applied to panel data for the period 2003-2005. Knowledge of the relative contribution of factors productivity and input use to output growth and improvements in technical efficiency is crucial to provide a comprehensive view of the state of the citrus producing sector in the country and help farm managers and policy makers draw appropriate policy measures. The proposed methodology is based on the use of a flexible translog functional form. Results indicate that technical efficiency of production in citrus producing farms investigated ranges from a minimum of 11.19% to a maximum of 96.82% with an average technical efficiency estimate of 49.97%. This suggests that citrus producers may increase their production by as much as 50.03% through more efficient use of production inputs. Furthermore, the production is characterized by increasing returns to scale, which on average was 1.057. Finally, investigation of the sources of production growth reveals that the contribution of total factor productivity is found to be the main source of that growth.
文摘This paper builds a stochastic frontier educational production function model, estimating the primary educational productivity with annual data of 31 provinces from 2007 to 2011. The conclusions are as follows： （1） in educational production function, output elasticity of public educational expenditure exceeds private educational expenditure＇s. The degrees of contribution of public and private educational expenditure reflect that China should increase public educational expenditure. （2） regional educational technical efficiency is affected by both structure of educational expenditure and levels of regional economic growth. Primary educational technical efficiency of east, middle and west regions all tended to fall down during 2007 to 2011.
