Decomposing TFP Growth in the Presence of Cost Inefficiency, Nonconstant Returns to Scale, and Technological Progress

Bauer, Paul W.

doi:10.26509/frbc-wp-198813

Cited by 44 publications

(79 citation statements)

References 8 publications

(9 reference statements)

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“…Both Bauer (1990) and Kumbhakar and Lovell (2000) have shown that TFP growth composes of technical progress, technical efficiency change and a scale economies effect. In theory, technical progress is an outward shift of the production frontier and technical efficiency change shows the movement from a position within towards a position on the production frontier, while the scale economies effect reflects an increase in return to scale.…”

Section: Introductionmentioning

confidence: 99%

An analysis on technical efficiency in post-reform China

Zhou¹,

2011

China Economic Review

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Abstract:This paper employs a fully nonparametric stochastic frontier model with time and individual effects to study technical efficiency in China's post-reform economy. The panel data cover China's thirty provinces for the period of 1985-2008. The empirical results show that the average output elasticity of labor is larger than the other two inputs of capital and human capital. Based on the specified inefficiency Tobit model, the factor analysis on technical efficiency shows that the time effects of technical efficiency in China's post-reform economy are significantly contingent on the factors. There exists significant regional differences in technical efficiency in China's economic development, and a number of policy implications can be drawn.

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Section: Introductionmentioning

confidence: 99%

An analysis on technical efficiency in post-reform China

Zhou¹,

2011

China Economic Review

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“…In the case of a logarithmic production function, following Denny et al (1981) and Bauer (1990), the Divisia index of total factor productivity (TFP) growth can be defined as the growth in scalar output (y = f(x,t;α)), which cannot be explained by the growth in the input quantity index (vector X) over time (t):…”

Section: Modelling Productivity Changementioning

confidence: 99%

Productivity growth on Finnish grain farms from 1976 2006: a parametric approach

Myyrä¹,

Pihamaa²,

Sipiläinen³

2009

AFSci

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In the long term, productivity and especially productivity growth are necessary conditions for the survival of farms and the food industry in Finland. The natural handicap and small farm size are challenges, but farmers are further challenged by the decoupling of supports and their transformation into direct income payments. Additionally, farmers' actions are limited by some institutional settings that substantially reduce incentives to improve productivity. Technical progress was found to drive the increase in productivity on grain farms in Finland. The scale had only a moderate effect and for the whole study period ) the effect was close to zero. Total factor productivity (TFP) increased, depending on the model, by 0.6-1.7% per year. The results demonstrated that the increase in productivity was hindered by the policy changes introduced in 1995. The cumulative increase in TFP over the study period was at the same level as the measured yearly changes in TFP. The results highlight the nature of grain farming in Finland as well as the challenges in simultaneously taking into account the general trend and yearly variation in TFP.

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“…The author decomposes total factor productivity growth into scale economies, technical change, and efficiency change, based on longitudinal data from 34 U.S. investor-owned electric utilities and using the Bauer (1990) method combined with techniques developed by Denny, Fuss, and Waverman (1981) and Granderson (1997). He identifies the productive contribution of the bad output using methods developed by Ball, Fare, Grosskopf, and Zaim (2005) and Chapple, Morrison Paul, and Harris (2005).…”

Section: The Authors Estimate a Data Envelopment Analysis (Dea) Cost mentioning

confidence: 99%

Corporate social responsibility and economic performance

Paul

Siegel

2006

J Prod Anal

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We describe some perspectives on corporate social responsibility (CSR), in order to provide a context for considering the strategic motivations and implications of CSR. Based on this framework, which is based on characterizing optimal firm decision making and underlies most existing work on CSR, we propose an agenda for further theoretical and empirical research on CSR. We then summarize and relate the articles in this special issue to the proposed agenda.

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Decomposing TFP Growth in the Presence of Cost Inefficiency, Nonconstant Returns to Scale, and Technological Progress

Cited by 44 publications

References 8 publications

An analysis on technical efficiency in post-reform China

An analysis on technical efficiency in post-reform China

Productivity growth on Finnish grain farms from 1976 2006: a parametric approach

Corporate social responsibility and economic performance

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