scholarly journals The Concentration-Profitability Relationship in Turkish Industry

2015 ◽  
Vol 3 (1) ◽  
pp. 172
Author(s):  
Meral Ozhan
Keyword(s):  
Concentration Ratio ◽  
Manufacturing Industry ◽  
Dominant Role ◽  
Current Data ◽  
Industrial Concentration ◽  
Data Set ◽  
Industrial Firms ◽  
Turkish Economy ◽  
Traditional Structure ◽  
One Step

The concept of industrial concentration refers to the control of a given industry by a small number of leading firms which are exclusively engaged in that industry. In economic theory concentration is an important concept to understand a departure away from competitive market structure which is accepted as a reference point for efficiency. Using the traditional structure-conduct-performance (SCP) paradigm many researchers found that the higher the level of concentration is the higher the level of profitability. In an earlier study I attempted to determine the level of concentration in the Turkish manufacturing industry for 84 sectors. In addition, I conducted a multiple regression analysis in various forms to identify the determinants of concentration and its effects on profitability. In most regression results, the relation between concentration and profitability was found positive and statistically significant. The present paper takes one step further and summarizes two new dimensions of industrial concentration. The first is to understand the current level of concentration for the Turkish manufacturing industry using a larger set of data. The new data set obtained from the TurkStat provides some basic statistics over the period 2009-2012 for 224 four-digit manufacturing industries. A brief analysis of the current data shows a slightly declining trend in the overall concentration ratio. CR4 (four-firm concentration ratio) fell from 51 to 49, CR8 (8-frim concentration ratio) fell from 61 to 60, and HHI (or H for short, Herfindahl-Hirschman index) dropped from 0. 173 (or from 1730) to 0. 153 (or to 1530). However a much bigger drop is observed for a longer period in the data coming from the top 500 industrial firms of ICC (Istanbul Chamber of Commerce). The latter data show a sharp fall in CR8 from 32 percent to 24 percent. These results together reflect a falling tendency in the dominant role of large firms in the Turkish economy which is a sign of increased level of competitive environment.

scholarly journals Spatiotemporal variations of nitrogen isotopic records in the Arabian Sea

2015 ◽  
Vol 12 (1) ◽  
pp. 1-14 ◽  
Author(s):  
S.-J. Kao ◽  
B.-Y. Wang ◽  
L.-W. Zheng ◽  
K. Selvaraj ◽  
S.-C. Hsu ◽  
...  
Keyword(s):  
Dissolved Oxygen ◽  
Arabian Sea ◽  
Euphotic Zone ◽  
Southeastern Part ◽  
Data Set ◽  
Global Coherence ◽  
One Step ◽  
Isotopic Records ◽  
Bottom Depth ◽  
Reported Data

Abstract. Available reports of dissolved oxygen, δ15N of nitrate (δ 15NNO3) and δ15N of total nitrogen (δ15Nbulk) for trap material and surface/downcore sediments from the Arabian Sea (AS) were synthesized to explore the AS' past nitrogen dynamics. Based on 25 μmol kg−1 dissolved oxygen isopleth at a depth of 150 m, we classified all reported data into northern and southern groups. By using δ15Nbulk of the sediments, we obtained geographically distinctive bottom-depth effects for the northern and southern AS at different climate stages. After eliminating the bias caused by bottom depth, the modern-day sedimentary δ15Nbulk values largely reflect the δ15NNO3 supply from the bottom of the euphotic zone. Additionally to the data set, nitrogen and carbon contents vs. their isotopic compositions of a sediment core (SK177/11) collected from the most southeastern part of the AS were measured for comparison. We found a one-step increase in δ15Nbulk starting at the deglaciation with a corresponding decrease in δ13CTOC similar to reports elsewhere revealing a global coherence. By synthesizing and reanalyzing all reported down core δ15Nbulk, we derived bottom-depth correction factors at different climate stages, respectively, for the northern and southern AS. The diffusive sedimentary δ15Nbulk values in compiled cores became confined after bias correction revealing a more consistent pattern except recent 6 ka. Such high similarity to the global temporal pattern indicates that the nitrogen cycle in the entire AS had responded to open-ocean changes until 6 ka BP. Since 6 ka BP, further enhanced denitrification (i.e., increase in δ15Nbulk) in the northern AS had occurred and was likely driven by monsoon, while, in the southern AS, we observed a synchronous reduction in δ15Nbulk, implying that nitrogen fixation was promoted correspondingly as the intensification of local denitrification at the northern AS basin.

scholarly journals The intersectoral linkage effects in Turkish economy: an application of static Leontief model

2009 ◽  
Vol 56 (3) ◽  
pp. 301-326
Author(s):  
Yay Gürkan ◽  
Serkan Keçeli
Keyword(s):  
Extraction Method ◽  
Manufacturing Industry ◽  
Value Added ◽  
The Other ◽  
Input Output ◽  
General Equilibrium Theory ◽  
Traditional Methods ◽  
Turkish Economy ◽  
Leontief Model ◽  
Linkage Effects

In this study, the leading activities of Turkish Economy whose changes in their structure of production, value-added and employment are interrelated with the other activities of the economy, are found by using the input-output model which is presented and called as an 'Application of the General Equilibrium Theory' by Leontief. For this purpose; firstly theoretical foundations of the input-output model are examined. After that, 59 activities of the 2002 Input-Output Table of the Turkish Economy are aggregated at 52 sectors and classified into three categories as Ricardo Sectors, High-Technology Sectors and Heckscher-Ohlin Sectors like Dasgupta and Chakraborty did for the Indian Economy in 2005. Then, the leading, key or strong activities of the economy that are more interrelated with other activities are calculated and found by the Static Leontief Model which is used by the Traditional Methods as the techniques to calculate the linkage effects like Chenery-Watanabe and Rasmussen methods to determine the sectors having the highest priority at investment policies according to the Hirschmanian Unbalanced Growth Model. As a result of the interpretation of Leontief Model, using the traditional methods of Chenery-Watanabe and Rasmussen while calculating the linkage effects rather than the hypothesis extraction methods like Strassert's Original Extraction Method, Cella's Extraction Method, Sonis' Pure Linkage Method and Dietzenbacher and Van der Linden's Method or a SAM (Social Accounting Method) model which does not omit the income generating process (distributing income among primary factors and households as a result of production) of a sector, in Turkey, the Heckscher-Ohlin Sectors mostly seen in the manufacturing industry which Kaldor refers as the engine of growth, are stronger than the other sectors.

scholarly journals Sources of light-absorbing aerosol in arctic snow and their seasonal variation

2010 ◽  
Vol 10 (6) ◽  
pp. 13755-13796 ◽  
Author(s):  
D. A. Hegg ◽  
S. G. Warren ◽  
T. C. Grenfell ◽  
S. J. Doherty ◽  
A. D. Clarke
Keyword(s):  
Seasonal Variation ◽  
Biomass Burning ◽  
Chemical Constituents ◽  
Dominant Role ◽  
Data Sets ◽  
Source Attribution ◽  
Data Set ◽  
Pmf Model ◽  
The North ◽  
Absorbing Aerosols

Abstract. Two data sets consisting of measurements of light absorbing aerosols (LAA) in arctic snow together with suites of other corresponding chemical constituents are presented; the first from Siberia, Greenland and near the North Pole obtained in 2008, and the second from the Canadian arctic obtained in 2009. A preliminary differentiation of the LAA into black carbon (BC) and non-BC LAA is done. Source attribution of the light absorbing aerosols was done using a positive matrix factorization (PMF) model. Four sources were found for each data set (crop and grass burning, boreal biomass burning, pollution and marine). For both data sets, the crops and grass biomass burning was the main source of both LAA species, suggesting the non-BC LAA was brown carbon. Depth profiles at most of the sites allowed assessment of the seasonal variation in the source strengths. The biomass burning sources dominated in the spring but pollution played a more significant (though rarely dominant) role in the fall, winter and, for Greenland, summer. The PMF analysis is consistent with trajectory analysis and satellite fire maps.

scholarly journals Luminous Type II supernovae for their low expansion velocities

2020 ◽  
Vol 494 (4) ◽  
pp. 5882-5901 ◽  
Author(s):  
Ó Rodríguez ◽  
G Pignata ◽  
J P Anderson ◽  
T J Moriya ◽  
A Clocchiatti ◽  
...  
Keyword(s):  
Near Infrared ◽  
Current Data ◽  
Type Ii ◽  
Data Set ◽  
Circumstellar Material ◽  
V Band ◽  
Dominant Component ◽  
Absolute Magnitudes ◽  
Using Data ◽  
Early Interaction

ABSTRACT We present optical and near-infrared data of three Type II supernovae (SNe II), SN 2008bm, SN 2009aj, and SN 2009au. These SNe display the following common characteristics: signs of early interaction of the ejecta with circumstellar material (CSM), blue B − V colours, weakness of metal lines, low expansion velocities, and V-band absolute magnitudes 2–3 mag brighter than those expected for normal SNe II based on their expansion velocities. Two more SNe reported in the literature (SN 1983K and LSQ13fn) share properties similar to our sample. Analysing this set of five SNe II, which are luminous for their low expansion velocities (LLEV), we find that their properties can be reproduced assuming ejecta–CSM interaction that lasts between 4 and 11 weeks post-explosion. The contribution of this interaction to the radiation field seems to be the dominant component determining the observed weakness of metal lines in the spectra rather than the progenitor metallicity. Based on hydrodynamic simulations, we find that the interaction of the ejecta with a CSM of ∼3.6 M⊙ can reproduce the light curves and expansion velocities of SN 2009aj. Using data collected by the Chilean Automatic Supernova Search, we estimate an upper limit for the LLEV SNe II fraction to be 2–4 per cent of all normal SNe II. With the current data set, it is not clear whether the LLEV events are a separated class of SNe II with a different progenitor system, or whether they are the extreme of a continuum mediated by CSM interaction with the rest of the normal SN II population.

An Approach to Develop Shaper Cum Slotter Mechanism: A Reconfigurable Machine Tool

2019 ◽  
Vol 8 (2) ◽  
pp. 195-206 ◽  
Author(s):  
Ashutosh Singh ◽  
Mohammad Asjad ◽  
Piyush Gupta ◽  
Jahangir Quamar
Keyword(s):  
Machine Tool ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Manufacturing System ◽  
Design Tool ◽  
Reconfigurable Manufacturing ◽  
Traditional Structure ◽  
Manufacturing Techniques ◽  
Solid Works ◽  
Reconfigurable Machine Tool

The traditional structure of machines (such as lathe, milling, shaper, slotter, drilling and planer) has become questionable because of the modular concepts (such as modularity, scalability, convertibility, mobility and flexibility) and reconfiguration becomes a promising approach towards modular manufacturing machines, in which manufacturing techniques are independent of changes. In this area, reconfigurable machine tool (RMT) forms a new class of modular machines in current manufacturing scenario where the manufacturing industry put a strong pressure on good quality and price reduction. The capabilities of the machines tool and manufacturing systems in reconfigurable manufacturing system (RMS) change with each reconfiguration (both software and hardware modules). In this case, an approach is presented for reconfiguration of horizontal shaper machine for developing the modular shaper cum slotter machine in a manufacturing system by adding some auxiliary (like Scott Russel mechanism) and some basic modules and the reconfiguration features of traditional shaper and slotter machine are also discussed. The proposed approach is illustrated with a figure, which has been designed on 3-D design tool (solid-works software platform). It is expected that, this work will help designers and practising engineers by making them aware of the reconfiguration mechanisms on traditional shaper machine, which have become a necessity for the very survival of manufacturing by lowering the operational costs.

Comparative analysis of occluded branch characteristics for Fraxinus excelsior and Acer pseudoplatanus with natural and artificial pruning

2007 ◽  
Vol 37 (8) ◽  
pp. 1414-1426 ◽  
Author(s):  
Sebastian Hein ◽  
Heinrich Spiecker
Keyword(s):  
Mixed Models ◽  
Dominant Role ◽  
Fraxinus Excelsior ◽  
Radial Increment ◽  
Acer Pseudoplatanus ◽  
Data Set ◽  
Occlusion Time ◽  
Residual Variation ◽  
Dead Branch ◽  
Species Specific

The aim of this study was to develop models on branch characteristics for Fraxinus excelsior L. (common ash) and Acer pseudoplatanus L. (sycamore maple) based on 44 and 25 sample trees, respectively. A total of 635 ash and 334 maple branches were sampled. The data set on artificial pruning was pooled among the two species with a total of 71 branches from 16 trees. The material was used to predict (i) the time for a complete occlusion, (ii) the total radius of the occluded branch inside the trunk, (iii) the branch insertion angle, and (iv) the dead branch portion of the occluded branch. In addition, the effects of species and natural versus artificial pruning were assessed. Generalized hierarchical mixed models with univariate or multivariate approaches were used in this analysis. The diameter of the occluded branch and the stem radial increment played a dominant role as predictors. Artificial pruning led to a significant reduction in occlusion time and a shorter occluded branch radius. Only few species-specific differences were found. Simulations showed a reasonable overall behaviour of the models. The residual variation was tolerable for integrating the models into a growth simulation system.

Automatic Detection of Manufacturing Equipment Cycles Using Time Series

2020 ◽  
Vol 20 (3) ◽  
Author(s):  
Jan-Peter Seevers ◽  
Kristina Jurczyk ◽  
Henning Meschede ◽  
Jens Hesselbach ◽  
John W. Sutherland
Keyword(s):  
Time Series ◽  
Energy Demand ◽  
Manufacturing Industry ◽  
Electrical Power ◽  
Sampling Rate ◽  
Real Life ◽  
Recognition Algorithm ◽  
Sensor Data ◽  
Data Set ◽  
Manufacturing Equipment

Abstract Manufacturing industry companies are increasingly interested in using less energy in order to enhance competitiveness and reduce environmental impact. To implement technologies and make decisions that lead to less energy demand, energy/power data are required. All too often, however, energy data are either not available, or available but too aggregated to be useful, or in a form that makes information difficult to access. Attention herein is focused on this last point. As a step toward greater energy information transparency and smart energy-monitoring systems, this paper introduces a novel, robust time series-based approach to automatically detect and analyze the electrical power cycles of manufacturing equipment. A new pattern recognition algorithm including a power peak clustering method is applied to a large real-life sensor data set of various machine tools. With the help of synthetic time series, it is shown that the accuracy of the cycle detection of nearly 100% is realistic, depending on the degree of measurement noise and the measurement sampling rate. Moreover, this paper elucidates how statistical load profiling of manufacturing equipment cycles as well as statistical deviation analyses can be of value for automatic sensor and process fault detection.

Three-Dimensional Structures in Experimental Density Currents

2007 ◽  
Author(s):  
B. Firoozabadi ◽  
H. Afshin ◽  
E. Safaaee
Keyword(s):  
Salt Solution ◽  
Chemical Elements ◽  
Three Dimensional ◽  
Lateral Spreading ◽  
Current Data ◽  
Density Current ◽  
Density Currents ◽  
Ambient Water ◽  
Data Set ◽  
Bed Slope

Density currents are continuous currents which move down-slope due to the fact that their density is greater than that of ambient water. The density difference is caused by temperature differences, chemical elements, dissolved materials, or suspended sediment. Many researchers have studied the density current structures, their complexities and uncertainties. However, there is not a detailed 3-D turbulent density current data set perfectly. In this work, the structure of 3-dimensional salt solution density currents is investigated. A laboratory channel was used to study the flow resulting from the release of salt solution into freshwater over an inclined bed. The experiments were conducted with different bottom slopes, inlet concentrations and flow rates. In these tests, the instantaneous velocities are measured by an ADV apparatus (Acoustic Doppler Velocimeter). Results show that by increasing the bed-slope and inlet concentrations, the height of the current decreases. As the density current moves downward the channel or by increasing the discharge, the height of the density current increases. Finally, the effects of different variables such as the bed slope, concentration and flow rate of entering fluid on the velocity profile in different distances from the entrance is studied. The entrainment coefficient, lateral spreading and drag coefficient of the bed and shear layer between salt solution and ambient water is discussed.

The drivers of economic growth in South Asia: evidence from a dynamic system GMM approach

2019 ◽  
Vol 46 (3) ◽  
pp. 564-577 ◽  
Author(s):  
Mohammad Mafizur Rahman ◽  
Rezwanul Hasan Rana ◽  
Suborna Barua
Keyword(s):  
Economic Growth ◽  
South Asia ◽  
Energy Use ◽  
Government Expenditure ◽  
Data Set ◽  
Content Type ◽  
Dynamic Estimation ◽  
One Step ◽  
Key Variables ◽  
Generalised Method Of Moments

Purpose The purpose of this paper is to explore the drivers of economic growth in South Asia region for the period of 1975–2016 using the World Bank data. Design/methodology/approach Panel corrected standard error (static estimation) approach and one-step system generalised method of moments (dynamic estimation) approach are used. Findings Both the static and dynamic estimations indicate that energy use, gross capital formation and remittances are the main drivers of economic growth in South Asian countries. The effects of all these variables are positive and significant. The extent of the effect of energy use is much higher than that of other two variables on the economic growth. A 1 per cent increase in the growth of energy consumption can expedite the gross domestic product growth by approximately 3 per cent in South Asia. However, the key variables, such as trade, government expenditure and foreign direct investment demonstrate no significant effect. Originality/value The current research is original in the sense that it investigated the issue with a new data set using improved econometric techniques. Moreover, in South Asia as a whole, this kind of study is totally absent, particularly with panel data of a large number of years. Furthermore, this study has taken into account the problem of heterogeneity and the biases created by cross-section dependence, which were mostly absent in previous studies. Therefore, the findings of this research are new contributions to the existing literature.

Defusing Technology:Technology Diffusion in British Columbia

1993 ◽  
Vol 9 (1) ◽  
pp. 46-61 ◽  
Author(s):  
Arminée Kazanjian ◽  
Kathryn Friesen
Keyword(s):  
British Columbia ◽  
Historical Data ◽  
Current Data ◽  
Fiscal Year ◽  
Data Sets ◽  
Canadian Province ◽  
Data Set ◽  
Time Periods ◽  
Institutional Profile ◽  
Areas Of Interest

AbstractIn order to explore the diffusion of the selected technologies in one Canadian province (British Columbia), two administrative data sets were analyzed. The data included over 40 million payment records for each fiscal year on medical services provided to British Columbia residents (2,968,769 in 1988) and information on physical facilities, services, and personnel from 138 hospitals in the province. Three specific time periods were examined in each data set, starting with 1979–80 and ending with the most current data available at the time. The detailed retrospective analysis of laboratory and imaging technologies provides historical data in three areas of interest: (a) patterns of diffusion and volume of utilization, (b) institutional profile, and (c) provider profile. The framework for the analysis focused, where possible, on the examination of determinants of diffusion that may be amenable to policy influence.

Sign in / Sign up

Export Citation Format

Share Document