828 resultados para Investment and Credit Environment


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DUE TO COPYRIGHT RESTRICTIONS ONLY AVAILABLE FOR CONSULTATION AT ASTON UNIVERSITY LIBRARY AND INFORMATION SERVICES WITH PRIOR ARRANGEMENT

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Self-awareness and self-expression are promising architectural concepts for embedded systems to be equipped with to match them with dedicated application scenarios and constraints in the avionic and space-flight industry. Typically, these systems operate in largely undefined environments and are not reachable after deployment for a long time or even never ever again. This paper introduces a reference architecture as well as a novel modelling and simulation environment for self-aware and self-expressive systems with transaction level modelling, simulation and detailed modelling capabilities for hardware aspects, precise process chronology execution as well as fine timing resolutions. Furthermore, industrial relevant system sizes with several self-aware and self-expressive nodes can be handled by the modelling and simulation environment.

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Abstract: This paper investigates the impact of timeliness and credit ratings on the information content of the earnings announcements of Greek listed firms from 2001 to 2008. Using the classical event study methodology and regression analysis, we find that firms tend to release good news on time and are inclined to delay the release of bad news. We also provide evidence that the level of corporate risk differentiates the information content of earnings according to the credit rating category. Specifically, firms displaying high creditworthiness enjoy positive excess returns on earnings announcement dates. In contrast, firms with low creditworthiness undergo significant share price erosions on earnings announcement days. We also observe a substitution effect between timeliness and credit ratings in relation to the information content of earnings announcements. Specifically, we find that as the credit category of earnings-announcing firms improves, the informational role of timeliness is mitigated.

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This paper examines changes in the drivers of productivity in Germany over the period 1997-2012. We start by comparing the performance of German firms and inward investors before and during the recovery from the recent global financial crisis of 2008 across a range of sectors, and subsequently examine the channels through which different firms are able to generate productivity. Our results show that foreign investors are more productive than German MNEs and purely domestic firms, with the gap narrowing in the manufacturing sector, but growing in the service sector during the recovery period. We also contrast those firms for whom productivity growth is related to greater use of intangible assets, compared with those for whom productivity is linked to cash flow. Productivity of inward investors is driven by cash flow rather than intangible assets, these being limited to high-technology investors from the EU and the USA.

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This study examines the role of capabilities in core marketing-related business processes–product development management (PDM), supply chain management (SCM) and customer relationship management (CRM)–in translating a firm’s market orientation (MO) into firm performance. The study is the first to examine the interplay of all three business process capabilities simultaneously, while investigating how environmental conditions moderate their performance effects. A moderated mediation analysis of 468 product-focused firms finds that PDM and CRM process capabilities play important mediating roles, whereas SCM process capability does not mediate the relationship between MO and performance. However, the relative importance of the capabilities as mediators varies along the degree of environmental turbulence, and under certain conditions, an increase in the level of business process capability may even turn detrimental.

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This paper discusses the effects of sectoral structure on the long run macroeconomic inventory behaviour of national economies. Data on 15 OECD countries are included in the analysis, which is based on correlation and cluster analysis methodologies. The study is part of a long-term research project exploring factors influencing the inventory behaviour of national economies. First, we introduce some basic characteristics of macroeconomic inventory formation in the 15 OECD countries. We argue that our previous results on the existence of specific characteristic features of macroeconomic inventory investment are justified, hence it makes sense to study the factors influencing these features. We then examine the contribution of various sectors to the production of in the countries involved and the relationship between sectoral structure and inventory intensity (annual inventory change/Gross Value Added). We find that the high share of agriculture and manufacturing increases inventory intensity, that the increasing share of services has a negative effect and that the role of construction and trade is not obvious. The relatively low stability of the statistical results warns us to be cautious with our judgements. Further, case-by-case analysis would be required to obtain more solid results.

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There are very few research studies on macroeconomic inventory behaviour of various countries. It is clear that macro inventories are the results of a large number of individual microdecisions. However, we believe that it is worth analysing how inventories develop in the individual countries and why we can see different tendencies. This paper is the newest piece in a series of studies on the above subject. We use the OECD database to analyse inventory trends between 1987 and 2004 in nine of the most developed economies of the world. Annual inventory investment data are used and their connections with other components of GDP expenditure (governmental and private consumption, investment in fixed assets and foreign trade balance as well as the annual growth rate of GDP) are examined by multi-variable statistical analysis. Conclusions include the steadily decreasing tendency of inventory fluctuations, the varying periods of higher and lower rates of inventory investments and the differences of main influencing factors by country.

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A szerzők tanulmányának középpontjában a közvetlen külföldi befektetések és a korrupció kapcsolata áll. Feltételezésük az, hogy a közvetlen külföldi befektetők a kevésbé korrupt országokat kedvelik, mivel a korrupció egy további kockázati tényezőt jelent a befektetők számára, amely növelheti a befektetések költségeit. Megítélésük szerint ezt kvantitatív módszerekkel érdemes vizsgálni, így elemzésük során 79 országot vizsgálnak meg tíz évre vonatkozó átlagokkal a Gretl-program és az OLS becslőfüggvény segítségével. Több modell lefuttatása után azt az eredményt kapták, hogy a közvetlen külföldi befektetők döntéseiben a korrupció szignifikáns tényező, a két változó között negatív korrelációt figyeltek meg. / === / The study focuses on the connection of Foreign Direct Investment and corruption. The authors assume that investors prefer countries where corruption level is lower, as corruption an additional risk factor that might increase the cost of investment. They believe that the best way to prove the previous statement if they use quantitative methods, so they set up a model where 79 countries are tested for 10 years averages, with the help of the Gretl and OLS estimator. After running several models their finding was that corruption is a significant factor in the decisions of foreign investors, and there is a negative correlation between corruption and FDI.

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A szerzők tanulmányának célja, hogy bemutassa, milyen célokra alkalmazzák az internetet a hazai vállalatok, milyen várakozásaik vannak az e-kereskedelem versenyben betöltött szerepével kapcsolatban, és hogyan észlelik annak előnyeit. Vizsgálják azt is, hogy az elmúlt öt évben milyen változások tapasztalhatók a vállalatok gyakorlatában e téren. Elemzik továbbá, hogy a piacorientáció és a vállalat külső marketingkörnyezete hogyan befolyásolja az e-kereskedelem megítélését és alkalmazását. Elemzésük a "Versenyben a világgal" kutatási program 2009-ben készült felmérésének eredményeire támaszkodik, amelyben 300 vállalat szakembereit kérdezték meg. Kutatásukban megerősítést nyert, hogy Magyarországon az elektronikus kereskedelem jelentősége nő. A vállalatoknak kedvezőek az elektronikus kereskedelem jövőjével kapcsolatos várakozásaik, és úgy vélik, hogy ez versenyelőny forrása lehet. A vállalat piacorientációja erőteljesen befolyásolja azt, hogy egy vállalat milyen mértékben alkalmazza az internetet, és hogyan viszonyul az elektronikus kereskedelemhez / === / The objective of the authors’ research is to show how internet is used among Hungarian companies, to analyse their expectations with regard of the role e-commerce plays in competition, and the benefits resulting from e-commerce. They also focus on the changes that have taken place the past five years in the practice of Hungarian companies. The authors investigate how market orientation and the external marketing environment of firms influence evaluations of e-commerce and its implementation. Their analysis is based on the results of the research program „Competing with the world” , which includes the answers of 300 companies. Their research results confirm that the importance of e-commerce is growing in Hungary and overall Hungarian firms have positive expectations with regard of the future of e-commerce and consider it a source of competitive advantage. Market orientation of the firm strongly influences the extent of internet applications and attitudes toward ecommerce.

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Tanulmányunk középpontjában a közvetlen külföldi befektetések és a korrupció kapcsolata áll. Feltételezésünk az, hogy a közvetlen külföldi befektetők a kevésbé korrupt országokat kedvelik, mivel a korrupció egy további kockázati tényezőt jelent a befektetők számára, amely növelheti a befektetések költségeit. Megítélésünk szerint ezt kvantitatív módszerekkel lehet a leginkább vizsgálni, így elemzésünk során 79 országot vizsgálunk meg 10 évre vonatkozó átlagokkal a GRETL program és az OLS becslőfüggvény segítségével. Több modell lefuttatása után azt az eredményt kaptuk, hogy a közvetlen külföldi befektetők döntéseiben a korrupció szignifikáns tényező, a két változó között negatív korrelációt figyelhetünk meg. ____ We assume that investors prefer countries where corruption level is lower, as corruption an additional risk factor that might increase the cost of investment. We believe that the best way to prove the previous statement if we use quantitative methods, so we set up a model where 79 countries are tested for 10 years averages, with the help of the GRETL and OLS estimator. After running several models our finding was that corruption is a significant factor in the decisions of foreign investors, and there is a negative correlation between corruption and FDI.

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In Albert Hirschman’s theory, loyalty plays a key role in the equilibrium between exit and voice. This article extends economic (rational choice) analysis to the emergence of loyalty, which Hirschman considers an exogenous factor. This is accomplished by linking Williamson’s theory of specific investment to Hirschman’s model. Three cases are distinguished: (1) loyalty is due to specific investment; (2) loyalty is due to (intermediate) factors influenced by specific investment; and, (3) loyalty is independent of specific investment. A simple model formalizes the first case. A paradoxical dynamic of loyalty is identified: a lower degree of specificity may lead to a weakening of loyalty in the short run but astrengthening of loyalty in the long run. An application to the process of European integration is sketched.

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This study was an evaluation of a Field Project Model Curriculum and its impact on achievement, attitude toward science, attitude toward the environment, self-concept, and academic self-concept with at-risk eleventh and twelfth grade students. One hundred eight students were pretested and posttested on the Piers-Harris Children's Self-Concept Scale, PHCSC (1985); the Self-Concept as a Learner Scale, SCAL (1978); the Marine Science Test, MST (1987); the Science Attitude Inventory, SAI (1970); and the Environmental Attitude Scale, EAS (1972). Using a stratified random design, three groups of students were randomly assigned according to sex and stanine level, to three treatment groups. Group one received the field project method, group two received the field study method, and group three received the field trip method. All three groups followed the marine biology course content as specified by Florida Student Performance Objectives and Frameworks. The intervention occurred for ten months with each group participating in outside-of-classroom activities on a trimonthly basis. Analysis of covariance procedures were used to determine treatment effects. F-ratios, p-levels and t-tests at p $<$.0062 (.05/8) indicated that a significant difference existed among the three treatment groups. Findings indicated that groups one and two were significantly different from group three with group one displaying significantly higher results than group two. There were no significant differences between males and females in performance on the five dependent variables. The tenets underlying environmental education are congruent with the recommendations toward the reform of science education. These include a value analysis approach, inquiry methods, and critical thinking strategies that are applied to environmental issues. ^

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Veterinary medicines (VMs) from agricultural industry can enter the environment in a number of ways. This includes direct exposure through aquaculture, accidental spillage and disposal, and indirect entry by leaching from manure or runoff after treatment. Many compounds used in animal treatments have ecotoxic properties that may have chronic or sometimes lethal effects when they come into contact with non-target organisms. VMs enter the environment in mixtures, potentially having additive effects. Traditional ecotoxicology tests are used to determine the lethal and sometimes reproductive effects on freshwater and terrestrial organisms. However, organisms used in ecotoxicology tests can be unrepresentative of the populations that are likely to be exposed to the compound in the environment. Most often the tests are on single compound toxicity but mixture effects may be significant and should be included in ecotoxicology testing. This work investigates the use, measured environmental concentrations (MECs) and potential impact of sea lice treatments on salmon farms in Scotland. Alternative methods for ecotoxicology testing including mixture toxicity, and the use of in silico techniques to predict the chronic impact of VMs on different species of aquatic organisms were also investigated. The Scottish Environmental Protection Agency (SEPA) provided information on the use of five sea lice treatments from 2008-2011 on Scottish salmon farms. This information was combined with the recently available data on sediment MECs for the years 2009-2012 provided by SEPA using ArcGIS 10.1. In depth analysis of this data showed that from a total of 55 sites, 30 sites had a MEC higher than the maximum allowable concentration (MAC) as set out by SEPA for emamectin benzoate and 7 sites had a higher MEC than MAC for teflubenzuron. A number of sites that were up to 16 km away from the nearest salmon farm reported as using either emamectin benzoate or teflubenzuron measured positive for the two treatments. There was no relationship between current direction and the distribution of the sea lice treatments, nor was there any evidence for alternative sources of the compounds e.g. land treatments. The sites that had MECs higher than the MAC could pose a risk to non-target organisms and disrupt the species dynamics of the area. There was evidence that some marine protected sites might be at risk of exposure to these compounds. To complement this work, effects on acute mixture toxicity of the 5 sea lice treatments, plus one major metabolite 3-phenoxybenzoic acid (3PBA), were measured using an assay using the bioluminescent bacteria Aliivibrio fischeri. When exposed to the 5 sea lice treatments and 3PBA A. fischeri showed a response to 3PBA, emamectin benzoate and azamethiphos as well as combinations of the three. In order to establish any additive effect of the sea lice treatments, the efficacy of two mixture prediction equations, concentration addition (CA) and independent action ii(IA) were tested using the results from single compound dose response curves. In this instance IA was the more effective prediction method with a linear regression confidence interval of 82.6% compared with 22.6% of CA. In silico molecular docking was carried out to predict the chronic effects of 15 VMs (including the five used as sea lice control). Molecular docking has been proposed as an alternative screening method for the chronic effects of large animal treatments on non-target organisms. Oestrogen receptor alpha (ERα) of 7 non-target bony fish and the African clawed frog Xenopus laevis were modelled using SwissModel. These models were then ‘docked’ to oestradiol, the synthetic oestrogen ethinylestradiol, two known xenoestrogens dichlorodiphenyltrichloroethane (DDT) and bisphenol A (BPA), the antioestrogen breast cancer treatment tamoxifen and 15 VMs using Auto Dock 4. Based on the results of this work, four VMs were identified as being possible xenoestrogens or anti-oestrogens; these were cypermethrin, deltamethrin, fenbendazole and teflubenzuron. Further investigation, using in vitro assays, into these four VMs has been suggested as future work. A modified recombinant yeast oestrogen screen (YES) was attempted using the cDNA of the ERα of the zebrafish Danio rerio and the rainbow trout Oncorhynchus mykiss. Due to time and difficulties in cloning protocols this work was unable to be completed. Use of such in vitro assays would allow for further investigation of the highlighted VMs into their oestrogenic potential. In conclusion, VMs used as sea lice treatments, such as teflubenzuron and emamectin benzoate may be more persistent and have a wider range in the environment than previously thought. Mixtures of sea lice treatments have been found to persist together in the environment, and effects of these mixtures on the bacteria A. fischeri can be predicted using the IA equation. Finally, molecular docking may be a suitable tool to predict chronic endocrine disrupting effects and identify varying degrees of impact on the ERα of nine species of aquatic organisms.