927 research outputs found
Firm Level Productivity under Imperfect Competition in Output and Labor Markets
This article examines the role of the interaction between product market and labor market imperfections in determining total factor productivity growth (TFPG). Embedding Dobbelaere and Mairesse’s (2009) generalization of Hall’s (1990) approach, allowing for the possibility that wages are determined according to an efficient bargaining process between employers and employees, we correct estimated TFPG for possible biases arising from labor market imperfections. Our analysis contributes to the literature in a number of ways. First, we propose a new empirical measure of TFPG which takes into account possible biases coming from imperfect competition on both labor and output markets, whereas Dobbelaere and Mairesse (2009) focus on the decomposition of the Solow residual. Second, in contrast to most of the literature following Hall’s approach, we estimate market power including the user cost of capital stock. Third, we measure the sensitivity of TFPG to an alternative specification of competition based on relative profits. Using a large Dutch firm-level panel database over the period 1989-2005, we find that workers’ unions power, and in general rigidities of the labor market, affect firms’ marginal cost, and, consequently, the markups. Moreover, taking into account variable returns to scale and imperfect competition in the output market translate into increased TFPG, while accounting for labor market bargaining power leads to lower TFPG. Next, the investigation of our empirical relationship between the price-cost margin and an alternative specification of imperfect competition of the output market (profit elasticity) as a sensitivity analysis of the TFPG shows that adding more structure to the competition measure does not affect the level of productivity change.
Diversity in one dimension alongside greater similarity in others: evidence from FP7 cooperative research teams
Although diversity between team members may bring benefits of new perspectives, nevertheless, what holds a team together is similarity. We theorise that diversity in one dimension is traded off against diversity in another. Our analysis of collaborative research teams that received FP7 funding presents robust results that indicators of diversity in several dimensions (diversity of organizational form (universities, firms, etc.), diversity in nationality, and inequality in project funding share) are negatively correlated with each other
Do Millennials share similar perceptions of brand experience? A clusterization based on brand experience and other brand-related constructs: the case of Netflix
AbstractThis study aims to explore, in the case of the Over-The-Top (OTT) sector, Millennials' perceptions of brand experience in relation to the well-established brand Netflix. In particular, the work addresses a clusterization of Millennials on the basis of their experience with the brand. The study first explores the theoretical background, highlighting current perspectives on Over-The-Top industry and on brand experience as a strategic process for creating holistic customer value, achieving differentiation and sustainable competitive advantage. Second, it offers a quantitative study (using a survey) and highlights the principal results related to the brand. Moreover, this work will attempt to use cluster analysis methodology exploiting brand experience validated scale and other related brand and behavioural constructs to cluster consumers. Both academics and marketing managers should focus on approaches able to deliver strong and memorable brand experiences. A positive and durable brand experience is related to other important consequences for consumer action and behaviour, such as the willingness to place brand trust, consumer loyalty towards the brand, an enduring consumer-brand relationship, repurchase intentions, and lastly, the long-term life of the bran
Productivity, Price- and Wage-Markups: An Empirical Analysis of the Dutch Manufacturing Industry
This paper examines the interaction between productivity growth, firms' monopolistic market power, and workers' wage bargaining power. Our study contributes to several strands of literatures. First, we examine a monopolistic framework which accounts for wage bargaining. In addition to the other studies, along with the parameters characterizing a production function and the price-cost margins, we derive a measure of wage markup without relying on trade union participation data, and we study the correlation of the estimated parameters and markups with the firm-level productivity growth. Second, the paper contributes to literature on the structural identification of production functions in two ways. As a first step, it reviews the different estimation techniques that have been tackling the endogeneity issues concerning the simultaneity, the omitted output price, and the collinearity among input factors of production. Additionally, we propose an identification strategy that relies on the presence of imperfect competition in the flexible input market, namely, the labor market
Marchetti flat dilatometer tests in a virtual calibration chamber
Calibration chambers are frequently used to verify, adapt, or both verify and adapt empirical relations between different state variables and in situ test results. Virtual calibration chambers (VCC) built with 3D discrete element models may be used to extend and partially substitute costly physical testing series. VCC are used here to explore the mechanics of flat dilatometer penetration and expansion. Results obtained for a simulation of physical tests in Ticino sand are presented. Blade tip resistance during penetration is in good agreement with the experiments. A piston-like design is used for the blade so that larger displacements may be applied than it is possible with a membrane. Initial piston pressures in the expansion curves are very low, strongly affected by the scaled-up grain sizes. Despite that difficulty, expansion curves may be easily interpreted to recover dilatometer moduli ED close to those observed in the physical experiments. Particle-scale examination of the results allows a firmer understanding of the current limitations and future potential of the technique. Copyright ASTM International. All rights reserved, 2018/16/07. Downloaded by UPC, pursuant to Author/Copyright Owner Agreement. No further reproduction authorized
Firm level productivity under imperfect competition in output and labor markets
This article examines the role of the interaction between product market and labor market imperfections in determining total factor productivity growth (TFPG). Embedding Dobbelaere and Mairesse's (2009) generalization of Hall's (1990) approach, allowing for the possibility that wages are determined according to an efficient bargaining process between employers and employees, we correct estimated TFPG for possible biases arising from labor market imperfections. Our analysis contributes to the literature in a number of ways. First, we propose a new empirical measure of TFPG which takes into account possible biases coming from imperfect competition on both labor and output markets, whereas Dobbelaere and Mairesse (2009) focus on the decomposition of the Solow residual. Second, in contrast to most of the literature following Hall's approach, we estimate market power including the user cost of capital stock. Third, we measure the sensitivity of TFPG to an alternative specification of competition based on relative profits. Using a large Dutch firm-level panel database over the period 1989-2005, we find that workers' unions power, and in general rigidities of the labor market, affect firms' marginal cost, and, consequently, the markups. Moreover, taking into account variable returns to scale and imperfect competition in the output market translate into increased TFPG, while accounting for labor market bargaining power leads to lower TFPG. Next, the investigation of our empirical relationship between the price-cost margin and an alternative specification of imperfect competition of the output market (profit elasticity) as a sensitivity analysis of the TFPG shows that adding more structure to the competition measure does not affect the level of productivity change
Spatio-temporal constraints for emissivity and surface temperature retrieval: Preliminary results and comparisons for SEVIRI and IASI observation
Infrared instrumentation on geostationary satellites is now rapidly approaching the spectral quality and accuracy of modern sensors flying on polar platforms. Currently, the core of EUMETSAT geostationary meteorological programme is the Meteosat Second Generation (MSG). However, EUMETSAT is preparing for the Meteosat Third Generation (MTG). The capability of geostationary satellites to resolve the diurnal cycle and hence to provide time-resolved sequences or times series of observations is a source of information which could suitably constrain the derivation of geophysical parameters.
Nowadays, also because of lack of time continuity, when dealing with observations from polar platforms, the problem of deriving geophysical parameters is normally solved by considering each single observation as independent of past and future events. For historical reason, the same approach is currently pursued with geostationary observations, which are still being dealt with as they were with polar observations.
In this study we show some preliminary results on emissivity and surface temperature retrieval for SEVIRI observations, using the Kalman filter methodology (KF) and compare the retrievals with those obtained using IASI observations co-localized with SEVIRI ones using the times accumulation approach (Optimal Estimation OE). The Sahara desert was chosen as target area, and both SEVIRI and IASI data (infrared radiances and cloud mask) were acquired. The time period considered is that of July 2010 (the whole month). ECMWF analyses for the same date and target area have also been acquired, which comprise Ts, T(p), O(p), Q(p) for the canonical hours 0:00, 6:00, 12:00 and 18:00. Moreover, for the purpose of developing a suitable background for emissivity, the Global Infrared Land Surface Emissivity database developed at CIMSS, University of Wisconsin, derived by MODIS observations was used and was available from the year 2003 till 2011.
Concerning the performance of the two methodologies, the retrieval of skin temperature is almost equivalent. The agreement between OE and KF is fairly good if compared with ECMWF analysis for sea surface, while for land surface, OE and KF agree fairly well with ECMWF during the night, but at midday ECMWF shows a cold bias of 10 K and more. For emissivity the comparison with the UW/BFEMIS database for the same date and location is fairly good for both methods
The 2019 EU Industrial R&D Investment Scoreboard
The 2019 edition of the EU Industrial R&D Investment Scoreboard (the Scoreboard) comprises the 2500 companies investing the largest sums in R&D in the world in 2018/19. These companies, based in 44 countries, each invested over €30 million in R&D for a total of €823.4bn which is approximately 90% of the world’s business-funded R&D. They include 551 EU companies accounting for 25% of the total, 769 US companies for 38%, 318 Japanese companies for 13%, 507 Chinese for 12% and 355 from the rest-of-the-world (RoW) for 12%. This report analyses the main changes in companies' R&D and economic indicators over the past year and their performance over the past ten years. It also includes patent-based analyses aimed at characterising further the R&D efficiency of the business health sector and the activity of the Scoreboard companies in the field of environmental technologies.JRC.B.3-Territorial Developmen
Liquefaction source layer for sand blows induced by the 2016 megathrust earthquake (Mw 7.8) in Ecuador (Boca de Briceño)
Numerous sand boils were generated in the alluvial plain at the mouth of the Rio BriceËśno valley (Ecuador) during
the Mw 7.8 earthquake of April 2016. The area is characterized by a series of raised marine terraces formed as a
consequence of the rapid tectonic coastal uplift during the Quaternary. Boreholes and geotechnical investigations
were carried during post-earthquake surveys and for the purpose of mitigating the liquefaction effects. Five
lithological units were identified at a site of embankment, which represented continental-marine and transitional
sedimentation since the Last Glacial Maximum. A comprehensive study of texture and petrographic composition
of sand boils has been performed and compared with sandy silts and silty sands of the buried sedimentary
sequence in order to identify the source levels for liquefaction. The petrographic components, in particular the
low content of bioclasts and carbonate fragments of the sand boils, allow to pinpoint a source layer made up of
fine-grained silty sands located between 2 and 4.5 m depth (Unit 2) whereas the deeper marine sands, richer in
bioclasts, were not involved. The results support the idea that earthquake-induced liquefaction phenomena are
not restricted to clean sands and well-sorted deposits, but may affect sand layers with significant amount of nonplastic
silt
The 2013 EU Industrial R&D Investment Scoreboard
The 2013 "EU Industrial R&D Scoreboard" (the Scoreboard) contains economic and financial data of the world's top 2000 companies ranked by their investments in research and development (R&D). The sample contains 527 companies based in the EU and 1474 companies based elsewhere. The Scoreboard data are drawn from the latest available companies' accounts, i.e. the fiscal year 2012.JRC.J.2-Knowledge for Growt
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