Does research and development capital affect total factor productivity? Evidence from Greece

Voutsinas, Ioannis; Tsamadias, Constantinos

doi:10.1080/10438599.2013.871169

Cited by 27 publications

(12 citation statements)

References 42 publications

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“…Although the literature on the estimation of productivity is quite developed (see Balakrishnan & Pushpangadan, 1998; Beveren, 2012; Bontemps, Robin & Berg, 2000; Good, Nadiri & Sickles, 1996), studies on firm-specific determinants of productivity are scarce. Some of the studies have tried to find out the determinants of TFP in a single-variable framework (Hasan, 2002; Voutsinas & Tsamadias, 2014), but none has taken a multivariate approach. The single-variable framework emphasises a single variable as the sole determinant of productivity.…”

Section: Introductionmentioning

confidence: 99%

Firm Characteristics and Total Factor Productivity: Evidence from Indian Manufacturing Firms

Satpathy

Chatterjee

Mahakud

2017

Margin: The Journal of Applied Economic Research

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Measurement of the productivity of firms is an important research issue in productivity literature. Over the years, various methods have been developed to measure firm productivity across the globe. But there is no unanimity on the use of methods, and research on the identification of factors which determine productivity has been neglected. In view of these gaps, this study aims to measure total factor productivity (TFP) and tries to identify firm-specific factors which determine productivity of Indian manufacturing companies. The study is based on data of 616 firms from 1998–99 to 2012–13. To measure TFP, the Levinsohn–Petrin (L-P) method has been employed, and the fully modified ordinary least squares (FMOLS) method has been used to identify factors that affect TFP. The results reveal that embodied and disembodied technology plays a crucial role in the determination of productivity overall in manufacturing and other sub-industries. Similarly, the size of firms and intensity of raw material imports are also important for the determination of productivity across the sub-industries. JEL Classification: C14, C33, D24, L60

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Section: Introductionmentioning

confidence: 99%

Firm Characteristics and Total Factor Productivity: Evidence from Indian Manufacturing Firms

Satpathy

Chatterjee

Mahakud

2017

Margin: The Journal of Applied Economic Research

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“…Besides, although the influence of R&D investment in GTFP is unclear [40,41], it is an important indicator of the level of science and technology investment in a region. Therefore, this paper adopts the intensity of R&D investment (RD) as one of the driving factors.…”

Section: Driving Factorsmentioning

confidence: 99%

Spatial-Temporal Distribution Characteristics and Driving Mechanism of Green Total Factor Productivity in China’s Logistics Industry

Li¹,

Jian²

2020

Pol. J. Environ. Stud.

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The rapid development of China's logistics industry is accompanied by the deterioration of the ecological environment and excessive energy consumption. Therefore, how to effectively measure and improve the green total factor productivity (GTFP) of the logistics industry is an important guarantee for achieving the coordination of the logistics industry development and the ecological environment protection in the high-quality development stage. This study evaluated the logistics industry's GTFP of 30 provinces in China from 2004 to 2017 using the Epsilon-based measure model (EBM) and global Malmquist-Luenberger index (GML). Then, this paper applied the geographically and temporally weighted regression (GTWR) to analyze the spatiotemporal non-stationarity of influences of driving factors on GTFP. There are three main conclusions drawn in this paper. Firstly, the GTFP of the logistics industry has significant spatial and temporal differences. From a temporal perspective, the GTFP has undergone a process of alternating changes in ascent and descent. From a spatial perspective, the GTFP has an obvious "east-central-west" gradient decreasing trend. Secondly, compared with the ordinary least squares (OLS) and the geographically weighted regression (GWR), GTWR performs best in terms of goodness of fit. Thirdly, the regression results of GTWR indicate that the influences of factors have different directions and intensities on GTFP in the logistics industry at different times and regions, showing obvious characteristics of spatiotemporal non-stationarity. Finally, some practical recommendations are put forward in this paper.

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“…To do all this, investing in research and development must be a long-term strategy. According to the conclusions of the Voutsinas & Tsamadias [3] study, the productivity of the Greek economy can increase significantly if R & D expenditure is increased and at the same time institutional restructuring is carried out in order to improve the effectiveness of research and diffusion faster innovation.…”

Section: Research and Developmentmentioning

confidence: 99%

Factors Affecting the Relationship between Research and Development (R&D) and Economic Development in EU

Athina¹,

Αναστασίου²,

Panagiotis³

et al. 2018

aeb

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This paper explores the relation between R&D and economic growth using data from the EU-28 countries for the period 2001-2014. We consider panel data econometric techniques and control variables commonly used in the literature are analyzed together with a number of other variables to which existing studies often give little attention. Our results suggest that R&D expenditure and the patents (European Patent Office-EPO) have a positive and significant effect on economic growth for all countries.

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Does research and development capital affect total factor productivity? Evidence from Greece

Cited by 27 publications

References 42 publications

Firm Characteristics and Total Factor Productivity: Evidence from Indian Manufacturing Firms

Firm Characteristics and Total Factor Productivity: Evidence from Indian Manufacturing Firms

Spatial-Temporal Distribution Characteristics and Driving Mechanism of Green Total Factor Productivity in China’s Logistics Industry

Factors Affecting the Relationship between Research and Development (R&D) and Economic Development in EU

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