912 resultados para Profit shifting


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The aim of this paper is to illustrate the measurement of productive efficiency using Nerlovian indicator and metafrontier with data envelopment analysis techniques. Further, we illustrate how profit efficiency of firms operating in different regions can be aggregated into one overarching frontier. Sugarcane production in three regions in Kenya has been used to illustrate these concepts. Results show that the sources of inefficiency in all regions are both technical and allocative, but allocative efficiency contributes more to the overall Nerlovian (in)efficiency indicator. © 2011 Springer-Verlag.

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Although crisp data are fundamentally indispensable for determining the profit Malmquist productivity index (MPI), the observed values in real-world problems are often imprecise or vague. These imprecise or vague data can be suitably characterized with fuzzy and interval methods. In this paper, we reformulate the conventional profit MPI problem as an imprecise data envelopment analysis (DEA) problem, and propose two novel methods for measuring the overall profit MPI when the inputs, outputs, and price vectors are fuzzy or vary in intervals. We develop a fuzzy version of the conventional MPI model by using a ranking method, and solve the model with a commercial off-the-shelf DEA software package. In addition, we define an interval for the overall profit MPI of each decision-making unit (DMU) and divide the DMUs into six groups according to the intervals obtained for their overall profit efficiency and MPIs. We also present two numerical examples to demonstrate the applicability of the two proposed models and exhibit the efficacy of the procedures and algorithms. © 2011 Elsevier Ltd.

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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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Today's market conditions require nonprofit leaders to act in an increasingly business-like fashion. This study asks whether NPO leaders have a similar disposition to act entrepreneurially as for-profit entrepreneurs, but hold different underlying motives. For this purpose, the study contrasts a sample of 72 leaders of nonprofit organizations with 117 entrepreneurs on their personality traits and explicit motives using standard personality tests and interviews. Both groups exhibit similar general and entrepreneurship-specific personality traits but differ significantly regarding their motivation. While nonprofit leaders' motivation stems primarily from the meaningfulness of their work; entrepreneurs are mainly motivated by the independence as well as by the income and profit provided by their work. This paper helps us understand who leaders of nonprofit organizations are.

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Smart grid technologies have given rise to a liberalised and decentralised electricity market, enabling energy providers and retailers to have a better understanding of the demand side and its response to pricing signals. This paper puts forward a reinforcement-learning-powered tool aiding an electricity retailer to define the tariff prices it offers, in a bid to optimise its retail strategy. In a competitive market, an energy retailer aims to simultaneously increase the number of contracted customers and its profit margin. We have abstracted the problem of deciding on a tariff price as faced by a retailer, as a semi-Markov decision problem (SMDP). A hierarchical reinforcement learning approach, MaxQ value function decomposition, is applied to solve the SMDP through interactions with the market. To evaluate our trading strategy, we developed a retailer agent (termed AstonTAC) that uses the proposed SMDP framework to act in an open multi-agent simulation environment, the Power Trading Agent Competition (Power TAC). An evaluation and analysis of the 2013 Power TAC finals show that AstonTAC successfully selects sell prices that attract as many customers as necessary to maximise the profit margin. Moreover, during the competition, AstonTAC was the only retailer agent performing well across all retail market settings.

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Cities are oftentimes seen as undergoing a process of "emergence" in the "new economy." However, this process has largely remained empirically underdetermined. This article examines the intra-city geography of emerging businesses in newly dominant sectors of the urban economy. The change in dominant sectors coincides with a shift towards small- and medium-sized businesses, creating new economic opportunities for urban residential areas. The residential neighborhood is introduced as a place where supply and demand side drivers operate to attract or limit such new economic activity. Allen Scott's perspective of the cognitive-cultural economy is used to analyze which neighborhoods are flourishing sites of the cognitive-cultural sectors. His perspective on industries that are on the rise in urban environments and their growth potential proves very valuable. Social demographic characteristics on the level of the neighborhood are used as predictors of the composition of the local economy. The analyses show that in particular wealthy, gentrified neighborhoods are more prone than others to becoming "hubs" of the cognitive-cultural economy. However, disadvantaged neighborhoods may under certain conditions serve as incubators for business start-ups as they offer low-rent office spaces. This has important consequences for their future economic growth potential as well as the distribution of successful businesses in the city. © 2013 Urban Affairs Association.

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This paper aims to analyse the impact of regulation in the financial performance of the Water and Sewerage companies (WaSCs) in England and Wales over the period 1991–2008. In doing so, a panel index approach is applied across WaSCs over time to decompose unit-specific index number-based profitability growth as a function of the profitability, productivity and price performance growth achieved by benchmark firms, and the catch up to the benchmark firm achieved by less productive firms. The results indicated that after 2000 there is a steady decline in average price performance, while productivity improves resulting in a relatively stable economic profitability. It is suggested that the English and Welsh water regulator is now more focused on passing productivity benefits to consumers, and maintaining stable profitability than it was in earlier regulatory periods. This technique is of great interest for regulators to evaluate the effectiveness of regulation and companies to identify the determinants of profit change and improve future performance, even if sample sizes are limited.

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This edited volume analyzes recent key developments in EU border management. In light of the refugee crises in the Mediterranean and the responses on the part of EU member states, this volume presents an in-depth reflection on European border practices and their political, social and economic consequences. Approaching borders as concepts in flux, the authors identify three main trends: the rise of security technologies such as the EUROSUR system, the continued externalization of EU security governance such as border mission training in third states, and the unfolding dynamics of accountability. The contributions show that internal security cooperation in Europe is far from consolidated, since both political oversight mechanisms and the definition of borders remain in flux. This edited volume makes a timely and interdisciplinary contribution to the ongoing academic and political debate on the future of open borders and legitimate security governance in Europe. It offers a valuable resource for scholars in the fields of international security and migration studies, as well as for practitioners dealing with border management mechanisms.

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A nagy német filozófus, Martin Heidegger szerint a modern technológia sodorja végveszélybe az emberi és természeti létezést. A modern technológia ökológiai és etikai veszélyessége kétségtelen, azonban csak a modern vállalati működés segítségével fejti ki a hatásait. A profit-hajszoló modern vállalatok azok, amelyek veszélyeztetik a természeti ökoszisztémák integritását és biológiai sokféleségét, a helyi közösségek autonómiáját és kultúráját, valamint a jövő generációk életesélyeit. A tanulmányban a profit-maximalizálás kritikáját vázoljuk fel, és a gazdasági racionalitás egy átfogó, ökológiai és etikai értelmezését adjuk. Nem a profit eltörléséről van szó, hanem a kíméletlen profit-hajszolás megregulázásáról. A profit a gazdasági cselekvés jogos és természetes gyümölcse, ha az azt létrehozó tevékenység fenntartható és etikus módon megy végbe.

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A tanulmány azt a kérdést vizsgálja egy duopólium modellben, hogy egy termelőnek érdemes-e lényegében ugyanazt a terméket több formában, differenciáltan piacra dobnia. A modell ebben a csupasz formájában csak igen korlátozott mértékben épít a játékosok közti interakciókra, egy egyszer˝u szimultán döntési folyamatot ábrázol, azt is statikus környezetben. Az elemzés azt mutatja, hogy a keresleti paraméterek bizonyos értékei mellett még akkor is érdemes új, az eddigiektől eltérő tulajdonságú, differenciált termék piacra vitele, ha annak ára nem tér el a már korábban bevezetett terméktől, és így annál önmagában nem tekinthet˝o nagyobb nyereséget biztosítónak. Az a tény, hogy egy vállalat több differenciált termékvariánst árusít, arra vezet, hogy a korábbi egyensúlyi helyzethez képest kedvezőbb pozícióba kerül, mint a versenytársa.

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A vállalati társadalmi felelősségvállalás (CSR – corporate social responsibility) fogalma és menedzsmenteszköztára nem ismeretlen a hazai gazdasági életben, díjak, konferenciák, felmérések kapcsolódnak hozzá évről évre. A szerző dolgozatában először röviden elemzi a vállalati társadalmi felelősségvállalás elméleti megközelítéseiben a menedzserek szerepét kiemelő irányokat, majd a felelősségvállalás tartalmára vonatkozóan címszavakban bemutat néhány meghatározó elképzelést, amelyek a vizsgálati kérdések alapjait is adják. Ezt követi a kutatási eredmények bemutatása, majd a további kutatási lehetőségeket is tartalmazó konklúzió.

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An increasing number of students are selecting for-profit universities to pursue their education (Snyder, Tan & Hoffman, 2006). Despite this trend, little empirical research attention has focused on these institutions, and the literature that exists has been classified as rudimentary in nature (Tierney & Hentschke, 2007). The purpose of this study was to investigate the factors that differentiated students who persisted beyond the first session at a for-profit university. A mixed methods research design consisting of three strands was utilized. Utilizing the College Student Inventory, student’s self-reported perceptions of what their college experience would be like was collected during strand 1. The second strand of the study utilized a survey design focusing on the beliefs that guided participants’ decisions to attend college. Discriminant analysis was utilized to determine what factors differentiated students who persisted from those who did not. A purposeful sample and semi-structured interview guide was used during the third strand. Data from this strand were analyzed thematically. Students’ self-reported dropout proneness, predicted academic difficulty, attitudes toward educators, sense of financial security, verbal confidence, gender and number of hours worked while enrolled in school differentiated students who persisted in their studies from those who dropped out. Several themes emerged from the interview data collected. Participants noted that financial concerns, how they would balance the demands of college with the demands of their lives, and a lack of knowledge about how colleges operate were barriers to persistence faced by students. College staff and faculty support were reported to be the most significant supports reported by those interviewed. Implications for future research studies and practice are included in this study.

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This research is motivated by the need for considering lot sizing while accepting customer orders in a make-to-order (MTO) environment, in which each customer order must be delivered by its due date. Job shop is the typical operation model used in an MTO operation, where the production planner must make three concurrent decisions; they are order selection, lot size, and job schedule. These decisions are usually treated separately in the literature and are mostly led to heuristic solutions. The first phase of the study is focused on a formal definition of the problem. Mathematical programming techniques are applied to modeling this problem in terms of its objective, decision variables, and constraints. A commercial solver, CPLEX is applied to solve the resulting mixed-integer linear programming model with small instances to validate the mathematical formulation. The computational result shows it is not practical for solving problems of industrial size, using a commercial solver. The second phase of this study is focused on development of an effective solution approach to this problem of large scale. The proposed solution approach is an iterative process involving three sequential decision steps of order selection, lot sizing, and lot scheduling. A range of simple sequencing rules are identified for each of the three subproblems. Using computer simulation as the tool, an experiment is designed to evaluate their performance against a set of system parameters. For order selection, the proposed weighted most profit rule performs the best. The shifting bottleneck and the earliest operation finish time both are the best scheduling rules. For lot sizing, the proposed minimum cost increase heuristic, based on the Dixon-Silver method performs the best, when the demand-to-capacity ratio at the bottleneck machine is high. The proposed minimum cost heuristic, based on the Wagner-Whitin algorithm is the best lot-sizing heuristic for shops of a low demand-to-capacity ratio. The proposed heuristic is applied to an industrial case to further evaluate its performance. The result shows it can improve an average of total profit by 16.62%. This research contributes to the production planning research community with a complete mathematical definition of the problem and an effective solution approach to solving the problem of industry scale.

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A multivariate statistical analysis was applied to a 10 year, multiparameter data set in an effort to describe the spatial dependence and inherent variation of water quality patterns in the mangrove estuaries of Ten Thousand Islands – Whitewater Bay area. Principal component analysis (PCA) of 16 water quality parameters collected monthly resulted in five groupings, which explained 72.5% of the variance of the original variables. The “Organic” component (PCI) was composed of alkaline phosphatase activity, total organic nitrogen, and total organic carbon; the “Dissolved Inorganic N” component (PCII) contained NO 3 − , NO 2 − , and NH 4 + ; the “Phytoplankton” component (PCIII) was made up of total phosphorus, chlorophyll a, and turbidity; dissolved oxygen and temperature were inversely related (PCIV); and salinity and soluble reactive phosphorus made up PCV. A cluster analysis of the mean and SD of PC scores resulted in the spatial aggregation of the 47 fixed stations into six classes having similar water quality, which we defined as: Mangrove Rivers, Whitewater Bay, Gulf Islands, Coot Bay, Blackwater River, and Inland Waterway. Marked differences in physical, chemical, and biological characteristics among classes were illustrated by this technique. Comparison of medians and variability of parameters among classes allowed large scale generalizations as to underlying differences in water quality in these regions. A strong south to north gradient in estuaries from high N - low P to low N - high P was ascribed to marked differences in landuse, freshwater input, geomorphology, and sedimentary geology along this tract. The ecological significance of this gradient discussed along with potential effects of future restoration plans.