A Measure of Technological Change and Returns to Scale

Brown, M.; Popkin, Joel

doi:10.2307/1926657

Cited by 38 publications

(12 citation statements)

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“…that by Gordon (1990)) can be taken as a proxy of embodied technical changes. to scale in accounting for productivity growth (Brown and Popkin, 1962). As is well known, the "switch" from constant to increasing returns to scale has been one of the conceptual leverages through which growth has been endogenised in "new growth theories": not only by considering the R&D sector (Aghion and Howitt, 1992), but also the special nature of some firms' production inputs (Romer, 1990).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

The production function of top R&D investors: Accounting for size and sector heterogeneity with quantile estimations

Montresor

Vezzani

2015

Research Policy

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Please cite this article in press as: Montresor, S., Vezzani, A., The production function of top R&D investors: Accounting for size and sector heterogeneity with quantile estimations. Res. Policy (2014), http://dx.Available online xxx JEL classification: D24 D21 O30 Keywords:Production function R&D Firm and sector heterogeneity a b s t r a c t This paper aims at showing how quantile estimations can make the analysis of the firm's production function better able to deal with the innovation implications of production. In order to do this, we provide evidence of how top world R&D investors differ in the production impact of their inputs and in their rate of technical change. We use the EU Industrial R&D Investment Scoreboard and carry out a quantile estimation of an augmented Cobb-Douglas production function for a panel of more than 1000 companies, covering the 2002-2010 period. The results of the pooled sample are contrasted with those obtained from the estimates for different groups of economic sectors. Returns to scale are bounded by the size of the firm, but to an extent that decreases with the technological intensity of the sector. The output return of knowledge capital is the largest, irrespective of firm size, but in high-tech sectors only. Elsewhere, physical capital is the pivotal factor, although with size variations. The investigated firms also appear different in their technical progress: embodied in mid-high and low/mid-low tech sectors, and disembodied in high-tech sectors.

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Section: Theoretical Backgroundmentioning

confidence: 99%

The production function of top R&D investors: Accounting for size and sector heterogeneity with quantile estimations

Montresor

Vezzani

2015

Research Policy

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“…Solow (1956) sought to attribute output growth to input growth and technical change by distinguishing movements along a production frontier from shifts in the frontier. Economies of scale were added to the explanation by Brown and Popkin (1962). David and van de Klundert (1965) allowed technical change to be biased.…”

Section: Measuring the Change In Technical Efficiencymentioning

confidence: 99%

A Note on the Technical and Allocative Efficiency of Local Exchange Carriers in the United States

Uri

2006

Qual Quant

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“…Solow [18] sought to attribute output growth to input growth and technical change by distinguishing movements along a production frontier from shifts in the frontier. Economies of scale were added to the explanation by Brown and Popkin [19]. David and van de Klundert [20] allowed technical change to be biased.…”

Section: Measuring the Change In Productive Efficiencymentioning

confidence: 99%

Incentive regulation and the change in productive efficiency in telecommunications in the United States

Uri

2001

Appl Stoch Models Bus & Ind

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SUMMARYIncentive regulation has become an important regulatory tool in the telecommunications industry in the United States. The issue explored here is whether incentive regulation has resulted in an increase in productive e$ciency. After providing an overview of the nature of incentive regulation, a methodology for measuring technical ine$ciency and its change is introduced. This is a stochastic frontier production function approach re#ecting technical ine$ciency e!ects. The results of implementing this methodology suggest that in the production of interLATA billed access minutes for interstate calls, there was no change in technical e$ciency, something that incentive regulation was speci"cally designed to enhance. Finally, an assessment of technical e$ciency across individual LECs in the United States indicates considerable variability. Published in

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A Measure of Technological Change and Returns to Scale

Cited by 38 publications

References 0 publications

The production function of top R&D investors: Accounting for size and sector heterogeneity with quantile estimations

The production function of top R&D investors: Accounting for size and sector heterogeneity with quantile estimations

A Note on the Technical and Allocative Efficiency of Local Exchange Carriers in the United States

Incentive regulation and the change in productive efficiency in telecommunications in the United States

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