Academic literature on the topic 'Cost efficiency analysis'

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Journal articles on the topic "Cost efficiency analysis"

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Ngo, Thanh, and David Tripe. "Stochastic cost frontier analysis – a sensitivity analysis on cost measures." Pacific Accounting Review 28, no. 4 (November 7, 2016): 401–10. http://dx.doi.org/10.1108/par-03-2016-0028.

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Purpose This paper aims to examine alternative methods for recording and treating costs in studies of bank efficiency. Design/methodology/approach This study used stochastic frontier analysis (SFA) models with core costs and total costs to estimate the cost efficiency of banks in two different economies, Vietnam where the banking system is under-developed (and thus is dominated by traditional banking activities) and New Zealand where the banking system is well-developed (and thus non-traditional banking activities play an important role). Findings The authors found that models using total cost tend to underestimate the banks’ cost efficiency. This underestimation relates to the extent of modern activities in a banking system: it is larger in an advanced banking system (i.e. New Zealand) and smaller in a less-developed banking system (i.e. Vietnam). Research limitations/implications Research is limited to two countries, and it would be useful to apply the same technique to other data sets. Practical implications The paper suggests a new approach to cost SFA studies in banking. Originality/value The paper provides a much more searching analysis of costs in banking than has generally been seen in previous research.
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Nure, Gazmend. "Cost Efficiency Analysis in the Banking Industry." International Journal of Corporate Finance and Accounting 7, no. 2 (July 2020): 1–20. http://dx.doi.org/10.4018/ijcfa.2020070101.

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The efficiency of commercial banks is essential for the stability of banks by implying that banks that take higher risks are more inefficient. This paper builds on a stochastic heteroscedastic boundary model, where one will analyze a sample of 70 banks in Western Balkan countries such as Albania, Northern Macedonia, Serbia, Kosovo, and Montenegro for the period 2007-2017, highlighting determinants of bank cost efficiency. Banks with less liquidity, with a lower solvency rate and a higher credit risk, are more ineffective than prudent credit institutions. The paper also aims to address the relative lack of studies on the efficiency of banks in the region through the use of the stochastic frontier analysis (SFA).
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Clinch, J. Peter, and John D. Healy. "Cost-benefit analysis of domestic energy efficiency." Energy Policy 29, no. 2 (January 2001): 113–24. http://dx.doi.org/10.1016/s0301-4215(00)00110-5.

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Cesaroni, Giovanni. "Industry cost efficiency in data envelopment analysis." Socio-Economic Planning Sciences 61 (March 2018): 37–43. http://dx.doi.org/10.1016/j.seps.2017.01.001.

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Kangaspunta, Jussi, Juuso Liesiö, and Ahti Salo. "Cost-efficiency analysis of weapon system portfolios." European Journal of Operational Research 223, no. 1 (November 2012): 264–75. http://dx.doi.org/10.1016/j.ejor.2012.05.042.

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Mamasoliev, G'ayratbek Mahamadyusupovich. "Methodological Approaches To Analysis Of The Food Industry Cost Chain And Estimation Of Its Efficiency." American Journal of Applied sciences 03, no. 04 (April 30, 2021): 138–44. http://dx.doi.org/10.37547/tajas/volume03issue04-19.

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In this article commented methodological approaches on analysis of value chain, and highlighted an aim and tasks of the methods of analysis, besides developed recommendations about using them on practice.
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Winkler, Harald, Randall Spalding-Fecher, Lwazikazi Tyani, and Khorommbi Matibe. "Cost-benefit analysis of energy efficiency in urban low-cost housing." Development Southern Africa 19, no. 5 (December 2002): 593–614. http://dx.doi.org/10.1080/03768835022000019383.

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Qing, Cheng Lin, JuMong Na, Seog Ju Chang, and Chang Uk Im. "The Cost Efficiency Analysis of JeollaNamdo Food Industry." Journal of the Korean society for quality management 43, no. 4 (December 31, 2015): 533–44. http://dx.doi.org/10.7469/jksqm.2015.43.4.533.

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Abel, Sanderson, Alex Bara, and Pierre Le Roux. "Evaluating Bank Cost Efficiency Using Stochastic Frontier Analysis." Journal of Economics and Behavioral Studies 11, no. 3(J) (July 18, 2019): 48–57. http://dx.doi.org/10.22610/jebs.v11i3(j).2868.

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The study seeks to assess the cost efficiency of the commercial banks in Zimbabwe using the stochastic frontier analysis. The cost efficiency of the Zimbabwean banks is estimated using the trans-log stochastic frontier approach. The Stochastic Frontier Analysis methodology is among the host of methods that has been used to measure banking sector efficiency. The analysis of cost efficiency of commercial banks has important implications for the economy since an efficient banking system has potential to reduce interest rates which can lead to increased investment and growth for the economy. The cost of doing business in Zimbabwe is perceived to be high hence improved bank efficiency has the potential to reduce the cost of doing business. The average cost efficiency scores for the Zimbabwean banks over the study period show that the banking sector in Zimbabwe experiencing 17 percent inefficiency. The efficiency levels have been declining over the years reflecting increased resource wastage in the system. The study recommends that the banking institutions should continue to innovate so as to reduce their inefficiencies.
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Zhu, Weiquan, Xiaoguang Yang, Hongwei Ge, and Binglei Xie. "Cost-efficiency of buses using stochastic frontier analysis." Proceedings of the Institution of Civil Engineers - Transport 170, no. 4 (August 2017): 185–93. http://dx.doi.org/10.1680/jtran.14.00084.

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Dissertations / Theses on the topic "Cost efficiency analysis"

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Vigren, Andreas. "Costs in Swedish Public Transport : An analysis of cost drivers and cost efficiency in public transport contracts." Licentiate thesis, Transportekonomi, TEK, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-174378.

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During the last seven years, the total cost for Swedish public transport provision has increased by over 30 percent in real terms according to figures from the government agency Transport Analysis. A similar pattern is found if considering a longer time span. Part of the cost increase can be attributed to an increased supply, and part is due to price increases on input factors that are measured by an industry index produced by the public transport industry. The fact that about half of the costs in Swedish public transport are covered by public funds calls for responsibility in how these funds are used, and this means that information about cost drivers and cost efficiency is necessary. The lack of information about these factors in the Swedish public transport sector is the main motivation for the two papers included in this thesis. In this cover essay, the developments over the last decades in Swedish public transport are described, and there is a focus on the last ten years with the Doubling Project and the market in 2012. As mentioned, the costs as a whole, as well as per unit costs such as cost per vehicle kilometer, have increased in real terms since 2007. Even though parts of the cost increase can be attributed to an increased supply or the price of input factors, this development might be problematic for at least two reasons. First, the ambition of the industry to double the number of travelers by the year 2020 seems to have resulted in a supply increase around year 2010 and a similar increase in the number of boardings. However, the cost per vehicle kilometer and cost per boarding have both increased since then, which can bring into question whether the supply increases have been made at the right places and to the proper extent to have the desired effect on travel. Second, it is not clear whether a price increase for input factors can be viewed as an ``acceptable'' explanation for the cost increase. To the extent that the Public Transport Authority (PTA) or operator can affect the price of input factors such as buses (detailed or environmental requirements, etc.) or labor (demands on take-over of previous staff), an endogenous relationship is possible, which could disguise these potentially cost-driving factors as general price increases. At the end of this essay, a discussion about the lack of publicly available data highlights the non-compliance with EU regulations related to this. More data resources, perhaps with open access, would enable more comparisons between contractual forms, PTAs, and operators, which would provide examples of good and poor solutions and concepts in the industry and would have the potential to ensure better use of public funds. Below is a summary over the two paper included in this licentiate thesis. Papper I - “Costs for Swedish Public Transport Authorities” - uses contract-level data for the year 2012 and econometric methodology to investigate how contract factors affect costs for bus contracts. A theoretical framework is established to show some of the cost mechanisms that are at work in the two most popular contractual forms in Sweden, and the paper provides some insights into what results to expect from the empirical analysis. The most important results from the econometric analysis are that higher population density and a contract being operated by a publicly owned (municipal or county council) operator are both associated with having higher costs. Also, no statistically significant differences could be found when using incentive payments in the contracts. Papper II - “Cost Efficiency in Swedish Public Transport” -has a similar perspective as Paper I, but it uses stochastic frontier analysis to focus on cost efficiency and differences across PTAs. Data for the year 2013 are used, along with other data sources, to derive a cost frontier from which some of the deviations from this can be attributed to cost inefficiencies. The results are similar to those of Paper I, namely that cost efficiency is lower in high-density areas and in contracts that are directly awarded to a publicly owned operator. When comparing the cost efficiency of the PTAs (or counties), most exhibit small differences. The difference between the 1st and 15th-ranked county is only about 8 percent. The difference is somewhat larger when turning to the third and second least efficient counties of Stockholm and Skåne. The least efficient county of Västmanland is about 30 less cost efficient than the 1st-ranked county.
De senaste sju åren har de totala kostnaderna för att bedriva kollektivtrafik i Sverige ökat med över 30 procent i reala termer enligt siffror från myndigheten Trafikanalys. Jämförs en längre tidsperiod hittas samma mönster. En del av kostnadsökningen kan förklaras med ett ökat utbud under perioden, och en del med ökade priser på insatsfaktorer vilket kan mätas med ett prisindex sammansatt av kollektivtrafikbranschen. Det faktum att ungefär hälften av kollektivtrafikens kostnader täcks av offentliga medel ställer krav på ett ansvarsfullt utnyttjande, vilket i sin tur kräver information om hur kostnader och kostnadseffektivitet påverkas. Dylik information är begränsad för svensk kollektivtrafik, vilket är den huvudsakliga motiveringen till de två papperen i denna uppsats. I den tillhörande kappan beskrivs de senaste decenniernas utveckling i den svenska kollektivtrafiken, med ett större fokus på de senaste tio åren med branschens fördubblingsprojekt samt marknadsöppningen år 2012. Som nämndes tidigare har kostnaderna som helhet, samt olika typer av styckkostnader såsom kostnad per körd utbudskilometer, ökat i reala termer sedan 2007. Även om delar av kostnadsökningarna kan attribueras till ett ökat utbud eller prisökningar i insatsfaktorer kan utvecklingen ändå vara problematisk av åtminstone två anledningar. För det första verkar branschens ambition att fördubbla resandet till år 2020 ha gett en utbudsökning under åren kring 2010, och en resandeökning något år senare. Vad som är tydligt är dock att både kostnaden per utbudskilometer och passagerare ökat. I ljuset av detta blir det tveksamt om utbudsökningarna skett på rätt ställen. För det andra är det oklart om en prisökning i insatsfaktorerna kan ses som ”acceptabla” anledningar till branschens kostnadsökning. I den mån kollektivtrafikmyndigheter och/eller operatörer kan påverka priset på insatsfaktorer såsom bussar (särkrav, miljökrav etc.) eller personal (personalövertagande etc.) riskerar man ett endogent samband vilket gör att dessa, potentiellt kostnadsdrivande, faktorer lätt kan sorteras bort som allmänna prisökningar. I slutet av kappan förs även en diskussion om den bristande tillgången på offentlig data i svensk kollektivtrafik, och att kollektivtrafikmyndigheterna inte följer uppsatta EU förordningar relaterat till detta. Ett större utbud av data, och helst ett öppet sådant, skulle möjliggöra för mer jämförelser mellan kontrakt, utförare och kollektivtrafikmyndigheter, vilket i förlängningen tydligare skulle kunna påvisa bra och dåliga exempel i branschen och bidra ett bättre resursutnyttjande av skattemedel. Nedan följer en sammanfattning av de två papper som ingår i licentiatuppsatsen. Papper I, “Costs for Swedish Public Transport Authorities”, använder data från år 2012 på kontraktsnivå för att med ekonometriska metoder analysera hur olika kontraktsfaktorer påverkar kostnaderna i busskontrakt. Analysen utgår från en teoretisk modell visar på kostnadsmekanismer i de två vanligaste kontraktstyperna, och som ger några insikter om vilka resultat som kan förväntas från den empiriska analysen. De viktigaste resultaten från den ekonometriska analysen är att kostnaderna är högre om kontraktet körs i ett område med hög befolkningstäthet, eller om operatören av ett kontrakt har en offentlig ägare (kommun eller landsting). Incitamentsersättning till operatören kan inte påvisas ha en statistiskt signifikant påverkan på kostnaderna. Papper II, “Cost Efficiency in Swedish Public Transport” , har en liknande utgångspunkt som Papper I, men använder stokastisk frontanalys för att fokusera på kostnadseffektivitet och skillnader i denna mellan kollektivtrafikmyndigheter. Data från år 2013 används tillsammans med ett antal andra datakällor för att ta fram en kostnadsfront, där vissa avvikelser från denna attribueras som kostnadsineffektivitet. Resultaten påminner om de i Papper I, nämligen att kostnadseffektiviteten är lägre i tätbefolkade områden, samt i kontrakt som direkttilldelas en offentligt ägd operatör. En jämförelse av kollektivtrafikmyndigheternas (länens) kostnadseffektivitet visar att de flesta län inte skiljer sig åt. Skillnaden mellan den mest effektiva och 15e mest effektiva länet är ca 8 procent. Skillnaden är något större till Stockholms och Skåne län, som har tredje respektive näst lägsta kostnadseffektivitet, samt det sist placerade länet, Västmanland, som är cirka 30 procent mer ineffektiv än det bäst placerade.

QC 20151007

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Jacobs, Rowena. "An analysis of cost efficiency in English acute hospitals." Thesis, University of York, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274505.

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Darovich, Andrew. "Productivity at the Cost of Efficiency: An Analysis of Advanced C# Programming." Cleveland State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=csu1339121003.

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Lee, Jae-Youn. "Ownership, market structure, and efficiency in Korean banks : a cost frontier analysis." The Ohio State University, 1996. http://rave.ohiolink.edu/etdc/view?acc_num=osu1272391268.

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Leon, Janina V. "Cost frontier analysis of efficiency : an application to the Peruvian Municipal Banks /." The Ohio State University, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488204276534176.

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Walheer, Barnabé. "Efficiency analysis: a multi-output nonparametric approach." Doctoral thesis, Universite Libre de Bruxelles, 2016. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/239283.

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Benchmarking is a technique used by Decision Making Units (DMUs) to enable continuous quality improvement. Benchmarking includes almost any activity that compares a DMU's performance with some standard. Benchmarking offers the possibility of optimizing the DMU's processes, services, outcomes and products through those comparisons. Quite often, benchmarking is understood to be an act of imitating or copying but in reality benchmarking proves to be a concept that helps in innovation rather than imitation. Though benchmarking is not new, it has become popular both as an analytical research instrument and a practical decision-support tool. To some, benchmarking is not a choice; it is a necessity. Indeed, the penalty for neglecting proper benchmarking is loss of competitive edge, which is the key to survival and profitability.Usually, benchmarking involves four distinct phases. Phase I: determine the set of comparison partners. There are three types of benchmarking procedure: internal benchmarking (i.e. the benchmark is chosen within the same organization), functional benchmarking (i.e. the benchmark is chosen regardless of which industry they are) and competitive benchmarking (i.e a competitor is used as the benchmark). Phase II: collect the data. Much information is already in the public domain (financial reports, newspaper reports, analysts' reports) but it is unlikely to provide all the information required for a successful benchmarking exercise. Phase III: analyze the collected information which results in the creation of a model and an identification of performance gaps. The model will have huge influence on the results. It is crucial to motivate all assumptions made in that phase. The model could be specific to the benchmarking exercise. Phase IV: the action phase. Analyzing the reasons for the performance differentials and use the findings to redefine goals, redesign processes, and change expectations regarding the evaluated DMU's own functions and activities.Amongst the models chosen in Phase III, Data Envelopment Analysis (DEA) has received more and more attention in the benchmarking literature. The goal of such analysis is to evaluate the efficiency of a DMU by comparing its input-output performance to that of other DMUs operating in a similar technological environment. The increasing attention for DEA could be explained by two main reasons. On the one hand, DEA does not resort to any unverifiable parametric/functional specifications of the production technology but rather lets the data speak for themselves by reconstructing the production possibilities using the observed inputs and outputs and imposing some technology axioms (such as monotonicity, convexity, returns-to-scale). Consequently, DEA is nonparametric in nature. On the other hand, deviation from efficiency, which is measured as the distance to the reconstructed production possibilities, is very easily computed. Indeed, the computation of the efficiency measures merely requires solving simple linear programming problems.Recently, Cherchye et al (2008, 2013) argued that standard DEA models provide a black-box treatment of efficiency production behavior since they ignore the links between inputs and outputs, i.e. they implicitly assume that all the inputs produce all the outputs simultaneously. This assumption is not plausible in several applications (e.g. employees that are allocated to different productions processes, specific capital which is used to produce only one type of goods). These authors suggested a multi-output nonparametric efficiency measurement technique, based on a cost minimization condition, which uses available information on the allocation of inputs to outputs. The new methodology characterizes each output by its own production technology while accounting for interdependencies between the different output-specific technologies giving rise to scope economies. This methodology provides a more realistic modelling of the production process and has a bigger ability to detect inefficient behavior (i.e. has more discriminatory power) than standard DEA techniques.In this thesis, we extend the method suggested by Cherchye et al (2008, 2013) in several directions. Firstly, we incorporate bad outputs (in contrast to good outputs). This extension deals in a natural way with several limitations of existing DEA approaches to treat undesirable outputs. As demonstrated with our application to the electricity sector. Next, we extend the methodology to allow for output-specific returns-to-scale assumptions. This allows for a more flexible model that does not force the practitioners to choose the same returns-to-scale assumption for all the outputs (as it is the case for the standard DEA model). This simultaneous choice could be difficult to defend in several settings but it is surely the case when undesirable outputs are present in the production process, as demonstrated in our application. Next, we extend the methodology for multi-output producers by considering a dynamic context. We suggest a new productivity index which takes the form of a Malmquist Productivity Index. Finally, we also generalize the method of Cherchye et al (2008, 2013), based on a cost minimization condition, to a profit maximization condition. This establishes a novel DEA toolkit for profit efficiency assessments in situations with multiple inputs and multiple outputs. We apply this new model to the case of electricity plants.
Doctorat en Sciences économiques et de gestion
info:eu-repo/semantics/nonPublished
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Ojo, Oluwaseun. "Cost efficiency analysis of pesticide use reduction in crop activities on french farms." Thesis, Lille 1, 2013. http://www.theses.fr/2013LIL12006/document.

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Suite au Grenelle de l’environnement proposant une réduction de 50% des pesticides dans l’agriculture française, l’objet central de cette thèse est d’estimer les potentiels progrès de productivité et de diminution de ces inputs pour les grandes cultures. Dans cette perspective, le recours aux modèles d’analyse d’activités et les estimations de fonction de coût par des approches non paramétriques comme Data Envelopment Analysis (DEA) et/ou Free Disposal Hull (FDH) sont mobilisés afin d’évaluer les réductions potentielles de coût global et des dépenses en pesticide pour ce type de cultures. S’appuyant d’une part sur un panel reprenant environ 600 exploitations situées dans le département de la Meuse au cours de la période 1992-2003 et d’autre part sur un échantillon de 700 exploitations de l’Eure & Loir observées en 2008, notre recherche vise à établir une relation de dominance coût entre les technologies utilisant plus ou moins de pesticide à l’hectare. En conséquence deux fonctions de coût caractérisées par des niveaux de dépenses de pesticides à l’hectare différents (haut et faible) sont comparées. La fonction de coût non paramétrique est estimée de manière robuste pour réduire la sensibilité des résultats à l’éventuelle présence d’outliers. Les résultats indiquent que des réductions substantielles de coût sont envisageables si les agriculteurs géraient leurs inputs plus efficacement. De plus, les pratiques culturales utilisant moins de pesticide à l’hectare apparaissent plus compétitives en matière de coût. Cette conclusion indique que l’adoption de ces nouvelles pratiques économes en intrants et donc plus favorables à l’environnement serait bénéfique à la fois pour les agriculteurs et pour l’ensemble de la société
In the context of the agreement of about 50% reduction in pesticide uses according to the accords du “Grenelle de l’environnement” (the Environment Round Table) in France, the central part of this study is to use some efficiency analysis to estimate the substantial productivity improvements and cost reductions on French farms. By employing Activity Analysis Models and estimating cost frontiers with non-parametric approaches such as Data Envelopment Analysis (DEA) and Free Disposal Hull (FDH)], total cost and/or pesticide expense reductions are evaluated on crop farms. Based on this, a sample of 600 and 700 farms in the Meuse and Eure & Loir departments were respectively observed over a 12 year period (1992-2003) and in year 2008. A non parametric cost function is essentially employed to assess the cost efficiency dominance between technologies using either more or less pesticide and a robust approach frontier is introduced in order to reduce the sensitivity of the cost frontier to the influence of potential outliers, thus improving the accuracy of the result. With respect to this, two cost functions characterized by a relatively lower or higher pesticide level per ha are compared. The estimated efficiency scores indicated that substantial efficiency improvements are possible on French crop farms with a strong potential for cost decreases if farmers could manage inputs more efficiently. Therefore, agricultural practices using less pesticide per ha are more cost competitive which does not only benefit the farmers but also the society, thereby promoting new agricultural practices that are more environmentally friendly
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Gqwaka, Aviwe Phelele Sebatian. "Efficiency analysis of electricity distribution by South African Municipalities: a cost frontier approach." Thesis, Nelson Mandela Metropolitan University, 2016. http://hdl.handle.net/10948/10299.

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Efficiency analysis in the public sector assesses the performance of municipal and government entities in their provision of services to the public. South Africa, in particular, has experienced a large degree of negative feedback with respect to the ability of the government and its municipal departments to provide basic services to citizens. This has led to a number of service delivery protests throughout the country. To remedy this, the ability of the municipality to provide basic services needs to be assessed in order for improvements to be made. A first step in this process would be to determine the efficiency with which municipalities are providing these services. This study focuses on a particular municipal service, namely electricity distribution. Primarily, the efficiency with which municipalities provide electricity to consumers is determined. This is achieved using the parametric cost frontier approach, which is appropriate since municipalities aim to reduce the costs incurred in distributing electricity. The municipalities are compared to a frontier (theoretical best practice) from which inferences on their performances can be made. Those municipalities whose performances are not optimal, deviate from the frontier. The deviations (errors) are then assumed to be caused by two factors, namely stochastic random noise and inefficiency. This composition accounts for effects for which municipalities cannot control (stochastic random noise) and those for which it can (inefficiency). The parametric nature of the cost frontier approach allows for distributional assumptions to be made on these factors. Stochastic random noise is always assumed to be normally distributed, while inefficiency is assumed to be one-sided and positively skewed.
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Altizer, Clayton Bruce. "Harvesting Cost and Productivity Analysis of Independent Contractors in the Appalachian Region: 1995-1997." Thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/31635.

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The study examined contractor demographics, business and technological characteristics, costs, and production information for 15 independent logging firms in the Appalachians. Contractors represented nine states and were studied from 1995 to 1997. Each contractor's cost and production information was used to determine his economic efficiency for the study period.

Total annual production for the firms ranged from 2,728.26 tons to 213,194.74 during the three-year period. Four contractors' median weekly production decreased from 1996 to 1997, while three contractors increased their weekly median production. Labor was the largest cost category for the smaller production contractors and contracted services tended to be the largest category for the larger producers. Regression analyses found that the cost of producing an additional ton increased from 1995 to 1996 and decreased from 1996 to 1997. Total cost per ton increased for four contractors from 1995 to 1996, while four showed decreasing cost per ton. For 1996 to 1997, five contractors had a cost per ton increase and seven showed a cost per ton decrease. Some of these shifts can be attributed to the fact that several of the mechanized contractors in the Central-Appalachians were "start-up" contractors when the study began.

West Virginia contractors had the highest workers' compensation premiums per ton and Georgia contractors had the lowest. Labor costs per ton were highest for North-Central Appalachian contractors and lowest for the Southern Appalachian contractors. Contractors who produced predominantly sawlogs tended to have higher efficiency rankings than those who produced primarily pulpwood.
Master of Science

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Dong, Yizhe. "Cost efficiency in the Chinese banking sector : a comparison of parametric and non-parametric methodologies." Thesis, Loughborough University, 2010. https://dspace.lboro.ac.uk/2134/6099.

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Since the open door policy was embarked upon in 1979, China s banking sector has undergone gradual but notable reforms. A key objective of the reforms implemented by the Chinese government is to build an effective, competitive and stable banking system in order to improve its efficiency and reliability. This study employs both parametric stochastic frontier analysis (SFA) and non-parametric data envelopment analysis (DEA) methods to assess and evaluate the cost efficiency of Chinese banks over the period from 1994 until 2007, a period characterised by far-reaching changes brought about by the banking reforms. To this end, we first compare a number of specifications of stochastic cost frontier models to determine the preferred frontier model which are adopted in our efficiency analysis. The preferred model specification for our sample is the one stage SFA model that includes the traditional input prices, the outputs and the control variables (that is, equity, non-performing loans and the time trend) in the cost frontier and the environmental variables (that is, ownership structure, size, deregulation, market structure and market discipline) in the inefficiency term. Moreover, we also employ two cost DEA models (traditional DEA and New DEA) as a complement to the preferred SFA model for methodological cross-checking purposes. Similar to the previous empirical literature, we find that in most cases only moderate consistency across the different techniques. The cost efficiency of Chinese banks is found to be 91% on average, based on our SFA model, over the period from 1994 until 2007. Based on the results of the DEA and New DEA models, the average cost efficiency for Chinese banks over the sample period is about 89% and 87%, respectively. We find that Chinese banking efficiency has deteriorated after China s admission to the WTO, suggesting that the significant external environmental changes which arose from China s WTO entry may have had a negative impact on its banking efficiency. In addition, we find that the majority of Chinese banks reveal scale inefficiencies and as asset size increases, banks tend to pass from increasing, to constant, and then to decreasing returns to scale. Our findings also show that both state-owned banks and foreign banks are more efficient than domestic private banks and larger banks tend to be relatively more efficient than smaller banks. These and other results suggest that in order to enhance Chinese banking efficiency, the government needs to continue with the banking reform process and in particular, to open up banking markets, to improve risk management and corporate governance in Chinese banks and to encourage the expansion of banks.
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Books on the topic "Cost efficiency analysis"

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Ng, Yew-Kwang. Efficiency versus equality: The case for aggregate compensating variations in cost-benefit analysis. Coventry: University of Warwick Department of Economics, 1991.

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Ng, Yew-Kwang. Efficiency versus equality: The case for aggregate compensating variations in cost-benefit analysis. Coventry: Warwick University, Department of Economics, 1991.

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Luken, Ralph Andrew. Efficiency in environmental regulation: A benefit-cost analysis of alternative approaches. Norwell, Mass: Kluwer Academic Publishers, 1990.

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Luken, Ralph Andrew. Efficiency in environmental regulation: A benefit-cost analysis of alternative approaches. Boston: Kluwer Academic Publishers, 1990.

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Venkatesh, Anand. Short and long-run cost efficiency in state transport undertakings using data envelopment analysis. Anand, Gujarat: Institute of Rural Management, Anand, 2014.

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Sarkis, Ziad. Cost structure analysis under disequilibrium: Price, scale, efficiency and capacity utilisation effects. Oxford: Oxford University, Institute of Economics and Statistics, 1999.

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Adhikari, Ramesh. Manufacturing industries in developing countries: An economic efficiency analysis of Nepal. Aldershot: Avebury, 1988.

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Manufacturing industries in developing countries: An economic efficiency analysis of Nepal. Aldershot, Hants, England: Avebury, 1988.

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Lang, Günter. Size and cost efficiency in universal banking: Empirical analysis of the German Banking Industry. Warsaw: National Bank of Poland, Research Dept., 1996.

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California Urban Water Conservation Council. BMP costs & savings study: A guide to data and methods for cost-effectiveness analysis of urban water conservation best management practices. Sacramento (455 Capitol Mall, Suite 703, Sacramento 95814): California Urban Water Conservation Council, 2000.

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Book chapters on the topic "Cost efficiency analysis"

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Bohm, Peter. "Cost-benefit Analysis of Public Investments and Policy Measures." In Social Efficiency, 112–54. London: Macmillan Education UK, 1987. http://dx.doi.org/10.1007/978-1-349-18786-7_4.

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Folland, Sherman, Allen C. Goodman, and Miron Stano. "Economic Efficiency and Cost-Benefit Analysis." In The Economics of Health and Health Care, 81–107. 8th edition. | New York, NY : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315101781-4.

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Manning, Matthew, Shane D. Johnson, Nick Tilley, Gabriel T. W. Wong, and Margarita Vorsina. "Cost-Benefit Analysis (CBA)." In Economic Analysis and Efficiency in Policing, Criminal Justice and Crime Reduction: What Works?, 35–50. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/9781137588654_5.

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Sengupta, Jati, and Biresh Sahoo. "Cost Efficiency in Models of Data Envelopment Analysis." In Efficiency Models in Data Envelopment Analysis, 36–81. London: Palgrave Macmillan UK, 2006. http://dx.doi.org/10.1057/9780230598171_2.

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Tol, Richard S. J. "Equitable Cost-Benefit Analysis of Climate Change." In Efficiency and Equity of Climate Change Policy, 273–90. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-015-9484-4_12.

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Dutt, Amitava Krishna, and Charles K. Wilber. "Individual Preferences, Efficiency, and Cost-Benefit Analysis." In Economics and Ethics, 141–57. London: Palgrave Macmillan UK, 2010. http://dx.doi.org/10.1057/9780230277236_8.

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Byrnes, Patricia, and Vivian Valdmanis. "Variable Cost Frontiers and Efficiency: An Investigation of Labor Costs in Hospitals." In Cost Analysis Applications of Economics and Operations Research, 160–75. New York, NY: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-6384-2_10.

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Ghosh, Payel, and Sadhan Kumar Ghosh. "Cost Analysis of Municipal Solid Waste Management Using Waste Compacting Stations: A Case Study." In Waste Management and Resource Efficiency, 1145–54. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7290-1_94.

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Vitaliano, Donald F. "An Economic Assessment of the Social Costs of Highway Salting and the Efficiency of Substituting a New Deicing Material." In Cost-Benefit Analysis and Public Policy, 381–400. Oxford, UK: Blackwell Publishing Ltd., 2009. http://dx.doi.org/10.1002/9781444307177.ch30.

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Färe, R., W. Herr, and D. Njinkeu. "Returns to Scale and Efficiency in Production: A Distance Function Approach to Southern Illinois Hog Farms." In Cost Analysis Applications of Economics and Operations Research, 145–59. New York, NY: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-6384-2_9.

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Conference papers on the topic "Cost efficiency analysis"

1

Swandani, Anita De Grave, Alimuddin, and Grace T. Pontoh. "Value Chain Analysis to Cost Efficiency." In Proceedings of the 3rd International Conference on Accounting, Management and Economics 2018 (ICAME 2018). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/icame-18.2019.75.

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Hossain, Md Shohrab, Mohammed Atiquzzaman, and William D. Ivancic. "Cost and efficiency analysis of hierarchical SIGMA." In GLOBECOM 2012 - 2012 IEEE Global Communications Conference. IEEE, 2012. http://dx.doi.org/10.1109/glocom.2012.6503957.

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Sokri, Abderrahmane. "Green and Insensitive Ammunitions: A Cost-Efficiency Analysis." In Modelling and Simulation. Calgary,AB,Canada: ACTAPRESS, 2011. http://dx.doi.org/10.2316/p.2011.735-051.

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Ryu, Sang-Lyul, Seok-Young Lee, and Jayoun Won. "Operating Cost Behavior and Efficiency: A Preliminary Analysis." In Business 2014. Science & Engineering Research Support soCiety, 2014. http://dx.doi.org/10.14257/astl.2014.70.07.

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Poon, Ivan. "Incorporation of rebound effect into energy efficient measures cost-benefit analysis model." In 2015 IEEE International Conference on Building Efficiency and Sustainable Technologies (ICBEST). IEEE, 2015. http://dx.doi.org/10.1109/icbest.2015.7435871.

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Wu, Jianlong, Longkun An, Boping Xiao, and Tiankun Liu. "Analysis of intensive support equipment based on cost-efficiency." In 2017 Second International Conference on Reliability Systems Engineering (ICRSE). IEEE, 2017. http://dx.doi.org/10.1109/icrse.2017.8030788.

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Ou, Zhonghong, Bo Pang, Yang Deng, Jukka K. Nurminen, Antti Ylä-Jääski, and Pan Hui. "Energy- and Cost-Efficiency Analysis of ARM-Based Clusters." In 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid). IEEE, 2012. http://dx.doi.org/10.1109/ccgrid.2012.84.

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Defersha, Fantahun M., Adil Salam, and Nadia Bhuiyan. "Product cost estimation using supper efficiency data envelopment analysis." In 2011 International Conference on Uncertainty Reasoning and Knowledge Engineering (URKE). IEEE, 2011. http://dx.doi.org/10.1109/urke.2011.6007797.

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Ma, Nai-Yi. "Analysis of Operating Cost Efficiency of Sewage Treatment Plants." In 2011 International Conference on Management and Service Science (MASS 2011). IEEE, 2011. http://dx.doi.org/10.1109/icmss.2011.5998451.

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Camurca, Luis, and Marco Liserre. "Mixed Technology Modular Multilevel Converter Cell - A Cost/Efficiency Analysis." In IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2019. http://dx.doi.org/10.1109/iecon.2019.8927289.

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Reports on the topic "Cost efficiency analysis"

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Lutz, James, Alex Lekov, Camilla Dunham Whitehead, Peter Chan, Steve Meyers, and James McMahon. Life-cycle cost analysis of energy efficiency design options for residential furnaces and boilers. Office of Scientific and Technical Information (OSTI), January 2004. http://dx.doi.org/10.2172/829988.

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Cornish, John. Survey Results and Analysis of the Cost and Efficiency of Various Operating Hydrogen Fueling Stations. Office of Scientific and Technical Information (OSTI), March 2011. http://dx.doi.org/10.2172/1120569.

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Herold, Dennis, and Robert Dinwoodie. Marines vs. Contractors: An Analysis of a Supply Outsourcing Initiative and Its Impact on Cost and Efficiency. Fort Belvoir, VA: Defense Technical Information Center, November 2011. http://dx.doi.org/10.21236/ada555673.

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Marinshaw, Richard, Michael Gallaher, Tanzeed Alam, and Nadia Rouchdy. Technology Costs as a Barrier to Energy and Water Efficiency in the Commercial Sector of the United Arab Emirates. RTI Press, June 2017. http://dx.doi.org/10.3768/rtipress.2017.pb.0013.1706.

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Studies have shown that the United Arab Emirates (UAE) has some of the highest electricity and water consumption rates in the world. To understand the barriers to the adoption of energy and water efficiency, Emirates Wildlife Society in association with the World Wildlife Fund conducted 363 face-to-face interviews with representatives of companies tasked with energy and water management. The purpose was to understand the most important barriers hindering the UAE’s private sector from achieving wide-scale energy and water efficiency and to begin to identify solutions to mitigate these barriers. This paper focuses on technology costs as a barrier to energy and water efficiency in the commercial sector. Preliminary analysis indicates that, for the commercial sector, a contributing factor to the perception that efficient technologies are costly is the lack of accurate information on the full range and life cycle costs and benefits of efficient products. The most immediate solutions would be to address the financing and informational aspects of the technology cost barrier, as well as potentially provide incentives, such as rebates. In addition, attention must be given to barriers underlying many of the technology cost issues, such as subsidized tariffs and relatively few standards that would encourage adoption.
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Waddle, D. (Power sector efficiency analysis in Costa Rica). [Power Sector Efficiency Analysis in Costa Rica]. Office of Scientific and Technical Information (OSTI), April 1990. http://dx.doi.org/10.2172/6958306.

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Iyer, Ananth V., Steven R. Dunlop, Olga Senicheva, Dutt J. Thakkar, Ruier Yan, Karthikeyan Subramanian, Suraj Vasu, Gokul Siddharthan, Juily Vasandani, and Srijan Saurabh. Improve and Gain Efficiency in Winter Operations. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317312.

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This report analyzes the current service level of winter operations in Indiana and explores opportunities to optimize performance. We analyze data regarding winter operations managed by INDOT and provide specific quantified estimates of opportunities to improve efficiency while also managing costs. For our exploration, we use data provided by INDOT sources, qualitative insights from interviews with INDOT personnel, literature survey data and benchmarking information, salt and supplier data analysis, and simulation. As part of our research, we developed a simulation model to visually represent the impact of alternate management of trucks for snow removal and a dashboard to understand the impact. Our analysis suggests the following: (1) opportunities exist to coordinate salt delivery by suppliers and combine local city salt purchases with INDOT’s purchases to save costs, (2) adjusting routes will reduce deadhead, (3) understanding truck maintenance and truck locations improves performance, and (4) incorporating critical locations into snow route planning will meet service thresholds. These insights provide implementable recommendation initiatives to improve winter operations performance. The simulation tool developed in this project simulates various weather events to draw insights and determine appropriate resource allocations and opportunities for improving operational efficiency. The report thus provides a quantifiable approach to winter operations that can improve the overall service level and efficiency of the process.
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Mazari, Mehran, Siavash F. Aval, Siddharth M. Satani, David Corona, and Joshua Garrido. Developing Guidelines for Assessing the Effectiveness of Intelligent Compaction Technology. Mineta Transportation Institute, January 2021. http://dx.doi.org/10.31979/mti.2021.1923.

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Many factors affect pavement compaction quality, which can vary. Such variability may result in an additional number of passes required, extended working hours, higher energy consumption, and negative environmental impacts. The use of Intelligent Compaction (IC) technology during construction can improve the quality and longevity of pavement structures while reducing risk for contractors and project owners alike. This study develops guidelines for the implementation of IC in the compaction of pavement layers as well as performing a preliminary life-cycle cost analysis (LCCA) of IC technology compared to the conventional compaction approach. The environmental impacts of the improved construction process were quantified based on limited data available from the case studies. The LCCA performed in this study consisted of different scenarios in which the number of operating hours was evaluated to estimate the cost efficiency of the intelligent compaction technique during construction. The analyses showed a reduction in energy consumption and the production of greenhouse gas (GHG) emissions with the use of intelligent compaction. The LCCA showed that the use of IC technology may reduce the construction and maintenance costs in addition to enhancing the quality control and quality assurance (QC/QA) process. However, a more comprehensive analysis is required to fully quantify the benefits and establish more accurate performance indicators. A draft version of the preliminary guidelines for implementation of IC technology and long-term monitoring of the performance of pavement layers compacted thereby is also included in this report.
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Qi, Yan, Ryan Fries, Shambhu Saran Baral, and Pranesh Biswas. Evaluating the Costs and Benefits of Snow Fences in Illinois: Phase 2. Illinois Center for Transportation, November 2020. http://dx.doi.org/10.36501/0197-9191/20-020.

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Serving as a windbreak, properly sited and designed snow fences have been proven effective in mitigating the negative impacts of blowing snow. To achieve the best snow-control effects, the ideal locations for snow fences are usually outside the roadway right-of-way. Few efforts have been made to examine the economic efficiency of snow fences and explore ways to reward private landowners. The objective of this project was to develop methodologies for evaluation of the costs and benefits of snow fences in Illinois and identify ways to encourage private landowners’ participation in the snow fence program while keeping it cost-effective. The researchers conducted a literature review as well as agency and landowner surveys. They also acquired crash data, snow fence and blowing snow segment inventory data, and blowing snow removal expenditure data as well as performed benefit-cost analyses of three types of snow fences following Federal Highway Administration guides. The survey results suggested that standing corn rows (SCRs) and structural snow fences (SSFs) were the least intrusive options for landowners and living snow fences (LSFs) with trees were the most intrusive. Some concerns related to LSFs could be reduced by allowing landowners to play a role in the design and plant-selection process. The crash data indicated that no fatal and severe crashes occurred at snow fence segments, while several fatal and severe crashes occurred at blowing snow segments during 2012–2016. The results of the benefit-cost analyses showed that the benefit-cost ratios for LSFs and SSFs are comparable. However, LSFs are favorable over SSFs because little maintenance is needed after the plants are mature. Although SCRs have the highest benefit-cost ratio, the need to renew the agency-landowner agreement annually and the alternating of crops planted may limit their snow-control effectiveness and large-scale implementation. A tool was developed using MS Excel to facilitate the benefit-cost analysis of snow fences.
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Ribeiro, João A., Paulo J. Pereira, and Elísio M. Brandão. A real options model to determine the optimal contractual penalty for a BOT project. CICEE. Universidade Autónoma de Lisboa, 2021. http://dx.doi.org/10.26619/ual-cicee/wp06.2021.

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Public-Private Partnerships (PPP) became one of the most common types of public procurement arrangements and Build-Own-Transfer (BOT) projects, awarded through adequate bidding competitions, have been increasingly promoted by governments. The theoretical model herein proposed is based on a contractual framework where the government grants leeway to the private entity regarding the timing for project implementation. However, the government is aware that delaying the beginning of operations will lead to the emergence of social costs, i.e., the costs that result from the corresponding loss of social welfare. This fact should motivate the government to include a contractual penalty in case the private firm does not implement the project immediately. The government also recognizes that the private entity is more efficient in constructing the project facility and also in running the subsequent operations. The model’s outcome is the optimal value for the legal penalty the government should include in the contract form. Sensitivity analysis reveals that there is a level for each of the comparative efficiency factors above which there is no need to impose a contractual penalty, for a given level of social costs. Finally, the effects of including a non-optimal penalty value in the contract form, which derives from overestimating or underestimating the selected bidder’s real comparative efficiency are examined, using a numerical example. Results demonstrate that overestimating (underestimating) the selected bidder’s real comparative efficiency leads to the inclusion of a below-optimal (above-optimal) value for the legal penalty in the contract and produces effects the government should prevent by estimating the comparative efficiency factors with full accurac.
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Jiang, Yuxiang. Unsettled Technology Areas in Electric Propulsion Systems. SAE International, May 2021. http://dx.doi.org/10.4271/epr2021012.

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Electric vehicle (EV) transmission technology—crucial for battery electric vehicles (BEVs) and hybrid electric vehicles (HEVs)—is developing quickly and customers want good performance at a low cost. Single-speed gearboxes are popular in electric drive systems due to their simple and cost-effective configuration. However, multispeed gearboxes are being taken to market due to their higher low-speed torque, dynamic performance, and energy efficiency. Unsettled Technology Areas in Electric Propulsion Systems reviews the economic drivers, existing techniques, and current challenges of EV transmission technology—including torque interruption during shifting; thermal and sealing issues; and noise, vibration, and harshness (NVH). This report discusses the pros and cons for both single-speed and multispeed gearboxes with numerical analysis.
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