Biased Technical Change and the Malmquist Productivity Index

Färe, Rolf; Grifell‐Tatjé, Emili; Grosskopf, Shawna; Lovell, C. A. Knox

doi:10.1111/1467-9442.00051

Cited by 185 publications

(111 citation statements)

References 18 publications

(12 reference statements)

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“…This paper extends the decomposition of the Malmquist productivity index suggested by [3,4] by using an outputoriented parametric approach. The Malmquist index is decomposed into several assembling components, which allows us to examine the ray expansion of technology, input-and output-induced shifts of technology frontier, technical change, scale efficiency change and the change of productivity caused by output-mix.…”

Section: Discussionmentioning

confidence: 98%

“…Reference [3] suggested the technical change component can be further decomposed to allow determining the contribution that technical change neutrality in productivity change. …”

Section: Tfp Tc Ec Sec Omementioning

confidence: 99%

“…It compares the magnitude of technical change along a ray through The bias indexes OB and IB are greater than one if the magnitude of technical change measured along a ray through period t + 1 data exceeds the magnitude of technical change measured along a ray through period t data, and vice versa. Reference [3] proved that OB (IB) equal to one if the technology is said to exhibit implicit Hicks output-neutral (input-neutral) technical change. In other words, the output (input) set shifts in or out by the same proportion along a ray through period t + 1 data as it does along the ray through period t data.…”

Section: Tfp Tc Ec Sec Omementioning

confidence: 99%

“…They also developed the decomposition of the Malmquist index into two mutually exclusive and exhaustive components: technical change and efficiency change. Afterwards, many researchers have extended this decomposition to develop a more detailed analysis of the Malmquist index, including several alternative approaches to understand technical change and scale efficiency ( [3][4][5][6]). …”

Section: Introductionmentioning

confidence: 99%

“…This paper extends the methodology of [3,4] to decompose the Malmquist index into different components while taking into account of technology bias and scale efficiency change simultaneously. We test some hypotheses regarding the production technology, functional specification, and returns to scale by imposing parametric restrictions in the estimation.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Parametric Decomposition of the Malmquist Index in Output-Oriented Distance Function: Productivity in Chinese Agriculture

Yu¹,

Liao²,

Hongfang³

2014

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This paper decomposes the Malmquist productivity index into several assembling components: technical change (further break down into technical change magnitude, input bias and output bias), technical efficiency change, scale efficiency change, and output-mix effect. A translog output distance function is chosen to represent the production technology and each component of the Malmquist index is computed using the estimated parameters. This parametric approach allows us to statistically test the hypothesis regarding different components of the Malmquist index and the natural of production technology. The empirical application in Chinese agriculture shows that the average productivity grows at 2 percent per year during 1978-2010. This growth is mostly driven by technical change, which is found to be neutral.

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Section: Discussionmentioning

confidence: 98%

“…Reference [3] suggested the technical change component can be further decomposed to allow determining the contribution that technical change neutrality in productivity change. …”

Section: Tfp Tc Ec Sec Omementioning

confidence: 99%

Section: Tfp Tc Ec Sec Omementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Parametric Decomposition of the Malmquist Index in Output-Oriented Distance Function: Productivity in Chinese Agriculture

Yu¹,

Liao²,

Hongfang³

2014

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Measuring dynamic biased technical change in Lithuanian cereal farms

Baležentis

2019

Agribusiness

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Changes in substitutability among inputs and outputs can help farms adapt to economic, technological, or societal changes. However, measurement of technical bias has only been carried out in a static framework, ignoring the confounding effects of technical bias due to adjustment costs. This paper integrates two streams of literature, that is one measuring dynamic inefficiency and the other measuring technical bias, thereby offering non‐parametric measures of technical bias for dynamic production technology. The dynamic framework explains the changes in the extent of output foregone to enable investments. The proposed framework is applied to a panel of data of Lithuanian cereal farms over the period 2004–2014. The results show technical change was, on average, more biased toward increasing output rather than investment. Technical change has been more focused on labor‐usage, relative to land and intermediate consumption in the same period.

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Explore the key factors of sustainable development: A bibliometric and visual analysis of technological progress

Ren

Jiao

et al. 2022

Sustainable Development

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Technological progress is an important way to realize the coordinated and stable development of economy and environment, and it is also a key factor to promote sustainable development. In the face of a large amount of literature data, traditional qualitative literature analysis methods have certain limitations and cannot objectively show the frontier trends of the research. Therefore, this article uses knowledge graph quantification and bibliometric analysis as research methods to quantitatively analyze technological progress. With the help of CiteSpace bibliometric tool and Web of Science database, this article draws the knowledge map, showing the basic characteristics, evolution logic, and hot frontiers of technological progress in the past 30 years, in order to grasp the new trend of technological progress research. The results show that: the number of studies on technological progress is increasing year by year, and China is the country with the largest number of publications. Research on technological progress mainly focuses on resource labor-intensive industries on land, while less attention on ocean. The evolution of technological progress is characterized by three stages: theoretical exploration (1997-2005), empirical analysis (2006-2016), and application exploration (2017-2021), and the path analysis and the impact mechanism of technological progress in the field of energy conservation and emission reduction are the focus of scholars at this stage. Finally, this article makes prospects from the aspects of research perspective, theme and content, so as to provide a reference basis for promoting scientific decision-making of sustainable development.

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Biased Technical Change and the Malmquist Productivity Index

Cited by 185 publications

References 18 publications

Parametric Decomposition of the Malmquist Index in Output-Oriented Distance Function: Productivity in Chinese Agriculture

Parametric Decomposition of the Malmquist Index in Output-Oriented Distance Function: Productivity in Chinese Agriculture

Measuring dynamic biased technical change in Lithuanian cereal farms

Explore the key factors of sustainable development: A bibliometric and visual analysis of technological progress

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