Estimation and decomposition of productivity change when production is not efficient: a paneldata approach

By Subal C. Kumbhakar, M. Denny, M. Fuss. 2000

210 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/3431ca139e572948f9312bed7e711f194abe0c7e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Philip G. Pardey
2. J. Alston
3. B. Babcock
4. Futoshi Yamauchi
5. Chuanwang Sun
6. Jikun Huang
7. K. Fuglie
8. Cheryl R. Doss

In Management Science and Operations Research

1. B. Babcock
2. Philip G. Pardey
3. Futoshi Yamauchi
4. J. Alston
5. Chuanwang Sun
6. Cheryl R. Doss

Citations in the corpus

• The Shifting Patterns of Agricultural Production and Productivity Worldwide (2010, methodology): “(3) Time is included as a regressor in the frontier production function and used to capture trends in productivity change—popularly known as exogenous technical change—and is measured by the log derivative of the stochastic frontier production function with respect to time (Kumbhakar 2000).”
• Rising wages, mechanization, and the substitution between capital and labor: evidence from small scale farm system in China (2016, background): “Kumbhakar et al. (2000) decomposed TFP into scale effect, technical change, technical efficiency change, and the input price allocative effect.”
• Can China’s Energy Intensity Constraint Policy Promote Total Factor Energy Efficiency? Evidence from the Industrial Sector (2019, unknown): “…ratio of the expectation of actual output and the expectation of the stochastic production frontier as follows: According to Battese and Coelli (1992), exp According to Kumbhakar (2000), the TFEE growth rate can be calculated through the following equation: = + + it it it TFEG TC TEC SE (5) In Eq.”
• Factor market distortion correction, resource reallocation and potential productivity gains: An empirical study on China's heavy industry sector (2018, background): “Given that efficient allocation of resources is a key source of productivity growth (Kumbhakar et al., 2000; Zhang et al., 2009; Song et al., 2011), the misallocation of productive inputs will inevitably lead to the loss of TFP (Restuccia and Rogerson, 2008; Banerjee and Moll, 2010; Syverson, 2011;…”