748,902 research outputs found

    A Supervised Approach to Delineate Built-Up Areas for Monitoring and Analysis of Settlements

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    Monitoring urban growth and measuring urban sprawl is essential for improving urban planning and development. In this paper, we introduce a supervised approach for the delineation of urban areas using commonly available topographic data and commercial GIS software. The method uses a supervised parameter optimization approach along with buffer-based quality measuring method. The approach was developed, tested and evaluated in terms of possible usage in monitoring built-up areas in spatial science at a very fine-grained level. Results show that built-up area boundaries can be delineated automatically with higher quality compared to the settlement boundaries actually used. The approach has been applied to 166 settlement bodies in Germany. The study shows a very efficient way of extracting settlement boundaries from topographic data and maps and contributes to the quantification and monitoring of urban sprawl. Moreover, the findings from this study can potentially guide policy makers and urban planners from other countries

    Measuring the productivity of residential long-term care in England: methods for quality adjustment and regional comparison

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    Productivity trend information is valuable in developing policy and for understanding changes in the โ€˜value for moneyโ€™ of the care system. In this paper, we consider approaches to measuring productivity of adult social care (ASC), and particularly care home services. Productivity growth in the public sector is traditionally measured by comparing change in total output to change in total inputs, but has not accounted for changes in service quality and need. In this study, we propose a method to estimate โ€˜quality adjustedโ€™ output based on indicators of the Adult Social Care Outcomes Toolkit (ASCOT), using data collected in the annual adult social care survey (ASCS). When combined with expenditure and activity data for 2010 to 2012, we found that this approach was feasible to implement with current data and that it altered the productivity results compared with non-adjusted productivity metrics. Overall, quality-adjusted productivity grew in most regions between 2010 and 2011 and remained unchanged for most regions from 2011 to 2012

    Measuring patient-perceived quality of care in US hospitals using Twitter

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    BACKGROUND: Patients routinely use Twitter to share feedback about their experience receiving healthcare. Identifying and analysing the content of posts sent to hospitals may provide a novel real-time measure of quality, supplementing traditional, survey-based approaches. OBJECTIVE: To assess the use of Twitter as a supplemental data stream for measuring patient-perceived quality of care in US hospitals and compare patient sentiments about hospitals with established quality measures. DESIGN: 404โ€…065 tweets directed to 2349 US hospitals over a 1-year period were classified as having to do with patient experience using a machine learning approach. Sentiment was calculated for these tweets using natural language processing. 11โ€…602 tweets were manually categorised into patient experience topics. Finally, hospitals with โ‰ฅ50 patient experience tweets were surveyed to understand how they use Twitter to interact with patients. KEY RESULTS: Roughly half of the hospitals in the US have a presence on Twitter. Of the tweets directed toward these hospitals, 34โ€…725 (9.4%) were related to patient experience and covered diverse topics. Analyses limited to hospitals with โ‰ฅ50 patient experience tweets revealed that they were more active on Twitter, more likely to be below the national median of Medicare patients (p<0.001) and above the national median for nurse/patient ratio (p=0.006), and to be a non-profit hospital (p<0.001). After adjusting for hospital characteristics, we found that Twitter sentiment was not associated with Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) ratings (but having a Twitter account was), although there was a weak association with 30-day hospital readmission rates (p=0.003). CONCLUSIONS: Tweets describing patient experiences in hospitals cover a wide range of patient care aspects and can be identified using automated approaches. These tweets represent a potentially untapped indicator of quality and may be valuable to patients, researchers, policy makers and hospital administrators

    Public hospital costs and quality in the Dominican Republic

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    Measuring costs in public hospitals in developing countries is hampered by the lack of an appropriate costing system, or of any systematic cost accounting. Invoices for goods and services, prices for inputs, and patient records are generally absent. As a result, cost measures have historically been based on budget figures - the only available financial data. But budget allocations bear little relationship to the resources actually required to provide services to hospital patients. The patient-based methodology described by the authors circumvents this problem by measuring actual hospital resources allocated to patients. Their study was conducted in a single Dominican hospital during a one week period in April 1989. Their approach documents and gives prices for goods, services, and personnel time provided by the hospital to emergency patients, inpatients, and outpatients. They used the following to measure quality and efficiency: (a) the qualifications and relative costs of medical manpower delivering services; (b) the extent and nature of shortages; (c) comparisons of physician orders and actual services provided; and (d) (for selected diagnoses) the specifics of clinical practices in the hospital, compared with accepted clinical norms for the Dominican Republic. They found that average and total costs of services understate the true costs - because of shortages, inappropriate and underused personnel, and nonfunctioning equipment. Quality of care measures suggest low quality and poor efficiency. Norms of medical practice were not followed in more than 80 percent of the cases examined. Rates of completion for diagnostic tests were below 50 percent for outpatient services and between 60 and 70 percent for inpatient and emergency services. The study registered significant monthly savings of 641fornoncompletionoftestsand641 for noncompletion of tests and 824 for nonavailability of drugs. Policy recommendations of the authors center on the need to reform the organization and delivery of health care as well as physician payment practices - and to giving more authority to hospital administrators. To make Dominican hospitals more efficient, there must be greater authority and accountability for hospital directors and better incentives for improving medical and management performance. Quality assurance needs great improvement if the Dominican system is to ensure a basic standard of care.Health Monitoring&Evaluation,Health Systems Development&Reform,Business Environment,Business in Development,Health Economics&Finance

    A Case Study of the National Institute of Public Administration of the Republic of Indonesia

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ํ–‰์ •๋Œ€ํ•™์› ํ–‰์ •ํ•™๊ณผ, 2023. 2. ByeongJo Kim.The Policy Quality Index (PQI) has been nationally utilized to assess Indonesian public policy quality since 2021. However, policymaking process seems to be made based on intuition, political interest, public opinion, and ideology. In fact, measuring policy quality is not that easy, particularly in a complex issue. Regarding to that, through the clear and standardized indicators and procedures, policy quality can be measured appropriately. Consequently, the research aims to identify, analyse, and discuss the implementation of the Policy Quality Index for policy quality assessment in Indonesian governmental agencies and the challenges for the process of the public policy quality assessment. Applying the Grounded Theory Approach based on the literature by Charmaz, the study aims to identify and to analyse the primary data that has been collected through the semi-structured interviews with prospective actors who are involved in the PQI implementation. Based on the interview data, following selective coding or main themes have been generated: 1) implementation background; 2) index methodology development; 3) collaborative implementation; 4) stakeholders roles; 5) implementation benefits; 6) implementation procedure; and 7) implementation constraints. Those mentioned main themes consist of second-order categories that are generated from the axial coding, and first-order concepts that are gained from the initial coding. The study found that the PQI implementation is related to the agenda of bureaucratic reform in the area of policy deregulation which is aimed to manage the laws and regulations that are still contradictory, inconsistent, ambiguous, and have multiple interpretations. So, the Ministry of State Civil Apparatus Utilization and Bureaucratic Reform as the authorized organization who has authority in managing bureaucratic reform in Indonesia has adopted the Policy Quality Index in 2021 for assessing government institutions bureaucratic reform performance in the area of policy deregulation. At the same time, the data gathered shows that the PQI framework assessment is based on four policy cycles that are consisted of agenda setting, policy formulation, policy implementation, and policy evaluation. Regarding the policy samples that can be evaluated using the PQI, the organization has decided to limit the samples in the initial PQI implementation as a national standard index for measuring policy quality. It is applied because the organization aims to get comparable assessment results about the policy quality in Indonesia. The policy samples of the PQI are ministerial regulations, institutional regulations, regional regulations, and regional head regulations. In the implementation, there are also low level of understanding and participation from the users because government institutions do not follow the policymaking cycles that are started from agenda setting to policy evaluation in the policymaking process. Then, the organization has also faced limited financial and human resources in the PQI implementation.Cempaka Noor Kumala Izza ์ •์ฑ…ํ’ˆ์งˆ์ง€์ˆ˜(Policy Quality Index, PQI)๋Š” 2021๋…„๋ถ€ํ„ฐ ์ธ๋„๋„ค์‹œ์•„ ๊ณต๊ณต์ •์ฑ…์˜ ์งˆ์„ ํ‰๊ฐ€ํ•˜๊ธฐ ์œ„ํ•ด ์ „๊ตญ์ ์œผ๋กœ ํ™œ์šฉ๋˜๊ณ  ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ •์ฑ… ๊ฒฐ์ • ๊ณผ์ •์€ ์ง๊ด€, ์ •์น˜์  ๊ด€์‹ฌ, ์—ฌ๋ก , ์ด๋…์— ๋”ฐ๋ผ ์ด๋ฃจ์–ด์ง€๋Š” ๊ฒƒ์œผ๋กœ ๋ณด์ธ๋‹ค. ์‚ฌ์‹ค ์ •์ฑ…์˜ ์งˆ์„ ์ธก์ •ํ•˜๋Š” ๊ฒƒ์€ ํŠนํžˆ ๋ณต์žกํ•œ ๋ฌธ์ œ์—์„œ ๊ทธ๋ฆฌ ์‰ฝ์ง€ ์•Š๋‹ค. ๊ทธ์™€ ๊ด€๋ จํ•˜์—ฌ, ๋ช…ํ™•ํ•˜๊ณ  ํ‘œ์ค€ํ™”๋œ ์ง€ํ‘œ์™€ ์ ˆ์ฐจ๋ฅผ ํ†ตํ•ด ์ •์ฑ…์˜ ์งˆ์„ ์ ์ ˆํ•˜๊ฒŒ ์ธก์ •ํ•  ์ˆ˜ ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ์ธ๋„๋„ค์‹œ์•„ ์ •๋ถ€๊ธฐ๊ด€์˜ ์ •์ฑ…ํ’ˆ์งˆํ‰๊ฐ€๋ฅผ ์œ„ํ•œ ์ •์ฑ…ํ’ˆ์งˆ์ง€์ˆ˜์˜ ๊ตฌํ˜„๊ณผ ๊ณต๊ณต์ •์ฑ…ํ’ˆ์งˆํ‰๊ฐ€ ๊ณผ์ •์˜ ๊ณผ์ œ๋ฅผ ํŒŒ์•…ํ•˜๊ณ  ๋ถ„์„ํ•˜๊ณ  ๋…ผ์˜ํ•˜๋Š” ๊ฒƒ์ด๋‹ค. Charmaz์˜ ๋ฌธํ—Œ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ ๊ทผ๊ฑฐ ์ด๋ก  ์ ‘๊ทผ๋ฒ•์„ ์ ์šฉํ•˜์—ฌ, ๋ณธ ์—ฐ๊ตฌ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์€ ์ฃผ์š” ๋ฐ์ดํ„ฐ๋ฅผ ์‹๋ณ„ํ•˜๊ณ  ๋ถ„์„ํ•˜๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ํ•œ๋‹ค. PQI ๊ตฌํ˜„์— ์ฐธ์—ฌํ•˜๋Š” ์˜ˆ๋น„ ํ–‰์œ„์ž์™€์˜ ๋ฐ˜๊ตฌ์กฐ์  ์ธํ„ฐ๋ทฐ๋ฅผ ํ†ตํ•ด ์ˆ˜์ง‘๋˜์—ˆ๋‹ค. ์ธํ„ฐ๋ทฐ ์ž๋ฃŒ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ 1) ๊ตฌํ˜„ ๋ฐฐ๊ฒฝ, 2) ์ง€์ˆ˜ ๋ฐฉ๋ฒ•๋ก  ๊ฐœ๋ฐœ, 3) ํ˜‘์—… ๊ตฌํ˜„, 4) ์ดํ•ด๊ด€๊ณ„์ž ์—ญํ• , 5) ๊ตฌํ˜„ ํŽธ์ต, 6) ๊ตฌํ˜„ ์ ˆ์ฐจ, 7) ๊ตฌํ˜„ ์ œ์•ฝ ๋“ฑ์˜ ์„ ํƒ์  ์ฝ”๋”ฉ ๋˜๋Š” ์ฃผ์š” ์ฃผ์ œ๊ฐ€ ์ƒ์„ฑ๋˜์—ˆ๋‹ค. ์–ธ๊ธ‰๋œ ์ฃผ์š” ์ฃผ์ œ๋Š” ์ถ• ์ฝ”๋”ฉ์—์„œ ์ƒ์„ฑ๋œ 2์ฐจ ๋ฒ”์ฃผ์™€ ์ดˆ๊ธฐ ์ฝ”๋”ฉ์—์„œ ์–ป์€ 1์ฐจ ๊ฐœ๋…์œผ๋กœ ๊ตฌ์„ฑ๋œ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” PQI ์‹œํ–‰์ด ์—ฌ์ „ํžˆ ๋ชจ์ˆœ๋˜๊ณ  ์ผ๊ด€์„ฑ์ด ์—†๊ณ  ๋ชจํ˜ธํ•˜๋ฉฐ ํ•ด์„์ด ๋‹ค์–‘ํ•œ ๋ฒ•๊ณผ ๊ทœ์ œ๋ฅผ ๊ด€๋ฆฌํ•˜๊ธฐ ์œ„ํ•œ ์ •์ฑ…๊ทœ์ œ์™„ํ™” ๋ถ„์•ผ์˜ ๊ด€๋ฃŒ๊ฐœํ˜ ์˜์ œ์™€ ๊ด€๋ จ์ด ์žˆ์Œ์„ ๋ฐœ๊ฒฌํ–ˆ๋‹ค. ๋”ฐ๋ผ์„œ ์ธ๋„๋„ค์‹œ์•„์˜ ๊ด€๋ฃŒ๊ฐœํ˜ ๊ด€๋ฆฌ ๊ถŒํ•œ์„ ๊ฐ€์ง„ ๊ณต์ธ๊ธฐ๊ด€์œผ๋กœ์„œ ๊ตญ๊ฐ€๊ณต๋ฌด์›์ œ๋„ํ™œ์šฉ๊ด€๋ฃŒ๊ฐœํ˜๋ถ€๋Š” 2021๋…„ ์ •์ฑ…๊ทœ์ œ์™„ํ™” ๋ถ„์•ผ์—์„œ ์ •๋ถ€๊ธฐ๊ด€์˜ ๊ด€๋ฃŒ๊ฐœํ˜ ์„ฑ๊ณผ๋ฅผ ํ‰๊ฐ€ํ•˜๊ธฐ ์œ„ํ•ด '์ •์ฑ…ํ’ˆ์งˆ์ง€์ˆ˜'๋ฅผ ์ฑ„ํƒํ•˜์˜€๋‹ค. ์ด์™€ ํ•จ๊ป˜ ์ˆ˜์ง‘๋œ ์ž๋ฃŒ๋ฅผ ํ†ตํ•ด PQI ํ”„๋ ˆ์ž„์›Œํฌ ํ‰๊ฐ€๋Š” ์˜์ œ์„ค์ •, ์ •์ฑ…์ˆ˜๋ฆฝ, ์ •์ฑ…์ถ”์ง„, ์ •์ฑ…ํ‰๊ฐ€๋กœ ๊ตฌ์„ฑ๋œ 4๊ฐ€์ง€ ์ •์ฑ…์ฃผ๊ธฐ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•˜๊ณ  ์žˆ์Œ์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค. PQI๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ํ‰๊ฐ€ํ•  ์ˆ˜ ์žˆ๋Š” ์ •์ฑ… ์ƒ˜ํ”Œ๊ณผ ๊ด€๋ จํ•˜์—ฌ, ์ •์ฑ… ํ’ˆ์งˆ์„ ์ธก์ •ํ•˜๊ธฐ ์œ„ํ•œ ๊ตญ๊ฐ€ ํ‘œ์ค€ ์ง€ํ‘œ๋กœ์„œ ์ดˆ๊ธฐ PQI ๊ตฌํ˜„ ์‹œ ์ƒ˜ํ”Œ์„ ์ œํ•œํ•˜๊ธฐ๋กœ ๊ฒฐ์ •ํ•˜์˜€๋‹ค. ์ธ๋„๋„ค์‹œ์•„ ์ •์ฑ…์˜ ์งˆ์— ๋Œ€ํ•œ ๋น„๊ต ํ‰๊ฐ€ ๊ฒฐ๊ณผ๋ฅผ ์–ป๋Š” ๊ฒƒ์„ ๋ชฉ์ ์œผ๋กœ ํ•˜๊ธฐ ๋•Œ๋ฌธ์— ์ ์šฉ๋œ๋‹ค. PQI์˜ ์ •์ฑ… ์ƒ˜ํ”Œ์€ ์žฅ๊ด€ ๊ทœ์ •, ์ œ๋„ ๊ทœ์ •, ์ง€์—ญ ๊ทœ์ • ๋ฐ ์ง€์—ญ ์ฑ…์ž„ ๊ทœ์ •์ด๋‹ค. ์—์„œ ์ •์ฑ… ์ˆ˜๋ฆฝ ๊ณผ์ •์—์„œ ์˜์ œ ์„ค์ •๋ถ€ํ„ฐ ์ •์ฑ… ํ‰๊ฐ€๊นŒ์ง€ ์‹œ์ž‘๋˜๋Š” ์ •์ฑ… ์ˆ˜๋ฆฝ ์ฃผ๊ธฐ๋ฅผ ์ •๋ถ€ ๊ธฐ๊ด€์ด ๋”ฐ๋ฅด์ง€ ์•Š์•„ ์ด์šฉ์ž๋“ค์˜ ์ดํ•ด์™€ ์ฐธ์—ฌ ์ˆ˜์ค€๋„ ๋‚ฎ๋‹ค. ๊ทธ ํ›„, ์กฐ์ง์€ ๋˜ํ•œ PQI ๊ตฌํ˜„์—์„œ ์ œํ•œ๋œ ์žฌ์ • ๋ฐ ์ธ์  ์ž์›์— ์ง๋ฉดํ–ˆ๋‹ค.Chapter 1: Introduction 1 1.1. Background and Purpose of Study 1 1.2. Scope of the Study 3 1.3. Research Methods 3 Chapter 2: Overview of The Policy Quality Index 5 2.1. What is The Policy Quality Index 5 2.2. Assessing Indonesian Public Policy Using the Policy Quality Index 6 2.3. What are the Indicators in Assessing Policy Quality 11 Chapter 3: Theoretical Background 12 3.1. Definition of Public Policy 12 3.2. Public Policy Evaluation 13 3.3. Public Policy Analysis 17 3.4. A Rationality Model in the Policymaking Process 21 3.5. Previous Study Review 23 Chapter 4: Research Design 24 4.1. Research Methodology 24 4.2. Grounded Theory Approach 27 Chapter 5: Findings and Discussion 33 5.1. Findings 33 5.2. Discussion 41 Chapter 6: Conclusion and Limitation 64 6.1. Conclusion 64 6.2. Limitation 67 Bibliography 68 Appendix 74์„

    New tools for assessing personal exposure near urban air pollution hotspots

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    During the last decade, researchers and policy makers have focused on the development and deployment of air pollution mitigation measures invoking solutions based on technology transfer. This term encompasses the synthesis of air quality monitoring, primarily by networks of inexpensive sensors, remote sensing and numerical modelling, as tools for supporting policy makers and disseminating air quality information to the citizens. It has been recognised that localised concentration maxima developing around traffic sources represent an exposure contribution of major epidemiological significance. The ability, therefore, of an integrated air quality management system to reliably assess personal exposure heavily depends on the consistent numerical treatment of multiscale interactions which determine the flow and dispersion structures in these fine spatial scales. Moreover, it is important to incorporate innovative methodologies for enhancing the stability and error-resilience of the sensor networks themselves. The approach presented in this work focuses on the utilisation of latest developments both in sensor technology and numerical air quality modelling, so as to provide end products able to support regulatory assessment and environmental information services. A peer-to-peer network of air quality measuring devices is deployed in six urban areas in the Balkan region in order to provide real time air quality data over areas of high population and emissions density. The coupled mesoscale modelling system MEMO/ MARS-aero and the mesomicro MEMICO two-way coupling methodology implement the physical modelling core of the system in the respective spatial scales. These modelling tools are used to estimate, integrate and complement the sensor data on pollutant levels in predictions of high temporal and spatial resolution in order to highlight pollution hot spots. In the case of fine particulate matter, special adaptations are incorporated in the emissions and chemical transformation treatment in order to provide consistent number concentration fields, which constitute the most relevant exposure metric

    Towards a harmonized European surveillance for dietary and physical activity indicators in young and adult populations

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    Background The Policy Evaluation Network proposes a consolidated approach to measure comparable health indicators across European health surveillance systems to evaluate effectiveness of policy action. Methods In a stepwise approach, questionnaire items used by the systems for measuring diet and physical activity data to describe health indicators were identified based on their validity, reliability, and suitability to monitor achievement of health recommendations. They were collated to unified questionnaire modules and discussed bilaterally with representatives of these systems to explore barriers and facilitators for implementation. Also, establishment of a methodological competence platform was proposed, in which the surveillance and monitoring systems agree on the priorities and common quality standards for the harmonization process and to coordinate the integration of questionnaire modules into existing systems. Results In total, seven questionnaire modules were developed, of which two diet and two physical activity modules were proposed for implementation. Each module allows measurement of data reflecting only partial aspects of national and WHO recommendations related to diet and physical activity. Main barriers were the requirements of systems to monitor temporal trends and to minimize costs. Main facilitator for implementation was the systemsโ€™ use of questionnaire items that were comparable to the unified modules. Representatives agreed to participate in a methodological competence platform. Conclusion We successfully took first steps in the realization of the roadmap towards a harmonization of European surveillance by introducing unified questionnaire modules allowing the collection of comparable health indicators and by initiating the establishment of a competence platform to guide this process

    The Coexistence of Multiple Distributions Systems for Financial Services: The Case of Property-Liability Insurance

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    Property-liability insurance is distributed by two different types of firms, those that distribute their product through independent agents, who represent more than one insurer,and direct writing insurers that distribute insurance through exclusive agents, who represent only one insurer. This paper analyzes the reasons for the long term coexistence of the independent agency and direct writing distribution systems. Two primary hypotheses explain the coexistence of independent and exclusive agents. The market imperfections hypothesis suggests that firms that use independent agents survive while providing essentially the same service as firms using exclusive agents because of market imperfections such as price regulation, slow diffusion of information in insurance markets, or search costs that permit inefficient firms to survive alongside efficient firms. Efficient firms are expected to earn super-normal risk-adjusted profits, while inefficient firms will earn risk-adjusted profits closer to normal levels. The product quality hypothesis suggests that higher costs of independent agents represent unobserved differences in product quality or service intensity, such as the providing of additional customer assistance with claims settlement,offering a greater variety of product choice sand reducing policyholder search costs. This hypothesis predicts normal risk-adjusted profits for both independent and exclusive agency firms. Because product quality in insurance is essentially unobserved, researchers have been unable to reach consensus on whether the market imperfections hypothesis or the product quality hypothesis is more consistent with the observed cost data. This lack of consensus leaves open the economic question of whether the market works well in solving the problem of minimizing product distribution costs and leaves unresolved the policy issue of whether marketing costs in property-liability insurance are excessive and perhaps should receive regulatory attention. The authors propose a new methodology for distinguishing between market imperfection sand product quality using frontier efficiency methods. They estimate both profit efficiency and cost efficiency for a sample of independent and exclusive agency insurers. Measuring profit efficiency helps to identify unobserved product quality differences because customers should be willing to pay extra for higher quality. This approach allows for the possibility that some firms may incur additional costs providing superior service and be compensated for these costs through higher revenues. Profit efficiency also implicitly incorporates the qualities floss control and risk management services,since insurers that more effectively control losses and manage risk should have higher average risk-adjusted profits but not necessarily lower costs than less effective insurers. The empirical results confirm that independent agency firms have higher costs on average than do direct writers. The principal finding of the study is that most of the average differential between the two groups of firms disappears in the profit function analysis. This is a robust result that holds both in the authors tables of averages and in the regression analysis and applies to both the standard and non-standard profit functions. Based on averages, the profit efficiency differential is at most one-third as large as the profit efficiency differential.Based on the regression analysis, the profit inefficiency differential is at most one-fourth as large as the cost inefficiency differential,and the profit inefficiency differential is not statistically significant in the more fully specified models that control for size,organizational form and business mix. The results provide strong support for the product quality hypothesis and do not support the market imperfections hypothesis. The higher costs of independent agents appear to be due almost entirely to the provision of higher quality services, which are compensated for by additional revenues. A significant public policy implication is that regulatory decisions should not be based on costs alone. The authors findings imply that marketing cost differentials among insurers are mostly attributable to service differentials rather than to inefficiency and therefore do not represent social costs. The profit inefficiency results show that there is room for improvement in both the independent and direct writing segments of the industry. However, facilitating competition is likely to be a more effective approach to increasing efficiency than restrictive price regulation.

    Better Admission Control and Disk Scheduling for Multimedia Applications

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    General purpose operating systems have been designed to provide fast, loss-free disk service to all applications. However, multimedia applications are capable of tolerating some data loss, but are very sensitive to variation in disk service timing. Present research efforts to handle multimedia applications assume pessimistic disk behaviour when deciding to admit new multimedia connections so as not to violate the real-time application constraints. However, since multimedia applications are ``soft\u27 real-time applications that can tolerate some loss, we propose an optimistic scheme for admission control which uses average case values for disk access. Typically, disk scheduling mechanisms for multimedia applications reduce disk access times by only trying to minimize movement to subsequent blocks after sequencing based on Earliest Deadline First. We propose to implement a disk scheduling algorithm that uses knowledge of the media stored and permissible loss and jitter for each client, in addition to the physical parameters used by the other scheduling algorithms. We will evaluate our approach by implementing our admission control policy and disk scheduling algorithm in Linux and measuring the quality of various multimedia streams. If successful, the contributions of this thesis are the development of new admission control and flexible disk scheduling algorithm for improved multimedia quality of service

    Three Concepts of Competitiveness Measures for Livestock Production in Central and Eastern Europe

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    This paper provides the overview of competitiveness measures applied in measuring competitiveness of livestock production in Central and Eastern European (CEE) countries. Three concepts of competitiveness are presented that are based on (i) Porters diamond of competitive advantage, (ii) competitiveness measures based on accountancy data and Policy Analysis Matrix (PAM approach, and (iii) competitiveness measures based on international trade data. On the basis of the presented results the paper evaluates competitiveness of livestock production in CEE countries focusing on policy implications of transition and integration of CEEs countries livestock sectors into the Single European Market. Low international competitiveness In CEE countries is for beef and milk, but with some indices of most recent improvements. Pork production (e.g. in Bulgaria) and sheep production (e.g. in Slovakia) may become internationally competitive. Less clear pattern is for the poultry sector. Some improvements may arise as result of a deep restructuring, quality, technology and efficiency improvements and rationalisation of costs, including in food processing
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