Academic literature on the topic 'Data Envelopment Analysis Technical Efficiency'

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Journal articles on the topic "Data Envelopment Analysis Technical Efficiency"

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Sahoo, Biresh K., and Pratap K. J. Mohapatra. "Measuring Technical Efficiency in Data Envelopment Analysis." OPSEARCH 38, no. 5 (2001): 456–83. http://dx.doi.org/10.1007/bf03398651.

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SENGUPTA, JATI K. "TECHNICAL CHANGE AND EFFICIENCY IN DATA ENVELOPMENT ANALYSIS." Cybernetics and Systems 27, no. 1 (1996): 77–92. http://dx.doi.org/10.1080/019697296126688.

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Parichatnon, Surakiat, Kamonthip Maichum, and Ke-Chung Peng. "Measuring technical efficiency of Thai rubber production using the three-stage data envelopment analysis." Agricultural Economics (Zemědělská ekonomika) 64, No. 5 (2018): 227–40. http://dx.doi.org/10.17221/19/2016-agricecon.

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The study investigated the technical efficiency of rubber production in Thailand. Secondary data were collected from the Thai rubber plantations in four regions from 2005 to 2014 by using a three-stage data envelopment analysis (DEA) model. The DEA was used to evaluate the technical efficiency levels and to remove undesirable environmental impacts. Furthermore, the Malmquist productivity index was used to measure the changes in the rubber production efficiency and estimate the rubber productivity trend. The findings indicate that the efficiency scores obtained using adjusted inputs in stage 3 of the DEA approach were higher than the efficiency scores in stage 1 of the DEA approach. Moreover, the results also showed that the Northern region has the worst scores of technical efficiency and declination of productivity among the four regions. However, the technical performance of the Thai rubber production has shown a good performance, an upward productivity trend, and has demonstrated the advantages of the method used. Findings from the study could provide crucial information to farmers, the Thai government, and agricultural planners for formulating effective strategies or plans to improve their technology and efficiency levels.
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Rahman Shaik, Abdul. "Measuring efficiency of banks in Saudi Arabia: A data envelopment analysis approach." Banks and Bank Systems 17, no. 4 (2022): 61–71. http://dx.doi.org/10.21511/bbs.17(4).2022.06.

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The current study investigates the efficiency of banks in Saudi Arabia in terms of technical change and change in total productivity. The study considers ten banks listed on Tadawul as a sample from 2016 to 2021. The Malmquist Data Envelopment Analysis (Malmquist DEA) model is employed to measure banks’ efficiency. Customer deposits and balances with other banks and financial institutions are inputs, while the operating profit and net income are outputs to measure efficiency. The results of efficiency report that most of the Saudi Arabian banks are considerably efficient, while some are marginally efficient. The technical change report results show that Saudi Arabia’s banks are enthusiastic about adopting new technologies that lead to their growth. Further, the results of the change in total productivity show great dynamism among the Saudi Arabian banks to become more productive, which ultimately leads to a more remarkable performance. The study results demonstrate the good performance of Saudi Arabian banks; however, very few banks are marginally efficient in terms of efficiency change. Therefore, the study supports the established hypothesis that there is a significant change in the technical efficiency and total productivity of Saudi Arabian banks. AcknowledgmentThe author(s) acknowledge that the Deanship of Scientific Research supports the current project at Prince Sattam Bin Abdulaziz University under research project number 2022/02/20810.
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Abdullah, M. Alsabah, D. Alatawi Ahmed, and Koornneef Erik. "Efficiency evaluation of public hospitals in Kuwait: An application of data envelopment analysis." GSC Advanced Research and Reviews 14, no. 3 (2023): 254–64. https://doi.org/10.5281/zenodo.7928881.

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<strong>Background</strong>: Kuwait overall health expenditure, in 2019, was 5.5% from the gross-domestic product and the state is the biggest healthcare provider in secondary and tertiary hospitals. Hospital efficiency and productivity are, therefore, an important issue to analyse, specifically in terms of number of visits to outpatient clinics, the number of surgical procedures performed, bed turnover and bed occupancy. Data envelopment analysis has been used to provide insights in the understanding of this growth in other countries. <strong>Methods</strong>: Data envelopment analysis (DEA) was used to estimate technical and scale efficiency scores for seventeen public hospitals in Kuwait from 2015 to 2019 using a two-stage DEA. Technical efficiency scores were regressed against institutional characteristics using Tobit regression to investigate the determinants of efficiency differences amongst hospitals. <strong>Results</strong>: The mean technical efficiency score for all hospitals was 75%, and it improved by 1% since 2015. The mean pure technical efficiency score was 85% in 2015 and improved to 86% in 2019. The mean scale efficiency score was 89% in 2015 and decreased to 88% in 2019. Only five hospitals were constantly technically and scale efficient. Tobit regression showed that hospital efficiency was significantly associated with the hospital level (secondary or tertiary), number of beds, bed occupancy rate and the average length of stay. <strong>Conclusions</strong>: Most public hospitals in Kuwait were not technically and scale efficient, but improvements were observed in the overall scores and pure technical efficiencies of these hospitals throughout the study. The identification of the factors influencing efficiency is crucial for hospital managers and policymakers to take evidence-based decisions to improve the technical efficiency of the main health-producing units in the country.
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Zagoruiko, Ivan, and Lesia Petkova. "DEA METHOD AS A TOOL FOR COMPARATIVE ANALYSIS OF THE EFFICIENCY OF NATIONAL ECONOMIES." Proceedings of Scientific Works of Cherkasy State Technological University Series Economic Sciences, no. 62 (September 27, 2021): 81–92. http://dx.doi.org/10.24025/2306-4420.62.2021.242067.

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The paper deals with the theory of comparative analysis of the efficiency of national economies using the nonparametric method of data envelopment analysis (DEA).&#x0D; The main works on the use of data envelopment analysis are studied. In order to develop the ideas of F. Caselli, W. J. Coleman II., J. Growiec it is proposed to take into account that the goal of producers in modern economy is not only to increase technical efficiency, which is expressed in reducing stock and labor intensity, but also to increase economic (in a narrow sense) efficiency that is reduction of the real prices of the used production factors. The subject of the research is an adequate representation of the interdependence of these "competing" goals in the theory of the efficiency frontiers. In the study, all efficiency frontiers were constructed in a purely nonparametric way reflecting a single period (in a standard form – a year). The goal is to solve the problem of incompleteness of a purely technological approach to the world efficiency frontiers that is to supplement the classical DEA model in a way to make it possible to build the boundaries of technical and economic efficiency using both methods – the envelopments of the actual states (points) of the countries and the envelopments of their national functions of the product distribution and its price. In accordance with the content of the proposed model of Paired Efficiency Frontier Model (PEF model), the geometric method is chosen as the main method for studying and interpreting the results obtained. Therefore, it is proven that it is possible to display a frontier using the envelopment method of functions distribution (straight lines) in one coordinate system as an envelopmentl of actual states (points) in an alternative system. This, in turn, significantly simplifies the range estimation to these borders.&#x0D; In the course of the research, the following goals are set: to determine the algebraic forms of linear programming problems that adequately represent the frontiers of technical and economic efficiency; to outline the main points of view regarding the construction of a global technological frontier and to justify the feasibility of complementing it with a global economic frontier.&#x0D; The proposed model contains four efficiency frontiers – technological and economic frontiers constructed using the envelopment method of the actual states, and similar frontiers representing the envelopments of the functions of the product distribution and its price. In accordance with the content of the proposed model, the geometric method is chosen as the main method for studying the frontiers of efficiency and interpreting the results obtained. Hence, it is possible to display a frontier using the envelopment method of functions distribution (straight lines) in one coordinate system as an envelopmentl of actual states (points) in an alternative system.&#x0D;
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Apolinaris, Florida, Ana Arifatus Sa'diyah, Ayu Wulandari, Gatot Suliana, and Appuwa Wedalage Sudarshani Lakmali. "TECHNICAL EFFICIENCY OF ORGANIC CAISIM FARMING USING DATA ENVELOPMENT ANALYSIS (DEA)." Journal of Agricultural Socio-Economics (JASE) 5, no. 2 (2024): 66–75. https://doi.org/10.33474/jase.v5i2.21660.

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Efficiency is one of the important aspects for farmers as a measuring tool to carry out the selection of production decisions against available alternatives. There are several differences in efficiency at the farm level, one of the efficiency that needs to be considered is technical efficiency. One of the efficiencies that needs to be considered is technical efficiency, but technical efficiency is rarely found in organic vegetable farmers. This study aims to analyze the level of technical efficiency of organic caisim farming and analyze the factors that affect the technical efficiency of organic caisim farming in Organic Farming (PORKAB) Sumberejo Village, Batu City. This research uses Data Envelopment Analysis (DEA) approach through Variable Return to Scale (VRS) input model to analize the technical efficiency of organic caisim farming. Tobit Regression Analysis was used to analyze the factors that affect the technical efficiency of organic caisim farming. The results of the analysis show that the average level of technical efficiency of respondent farmers in PORKAB in Sumberejo Village is 0.737. This condition shows that the average farmer has not yet reached the green range category. So that the majority of the use of production inputs by organic caisim farmers has not been technically efficient. Tobit regression analysis showed that the farmer's age variable had a significant and negative effect on the technical efficiency of organic caisim farming, while the experience farming variable had a significant and positive effect on the technical efficiency of organic caisim farming. Meanwhile, the variables of farmers' education level, and the number of family members of farmers did not significantly affect the technical efficiency of organic caisim farming.
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Saeri, M., SS Antarlina, Z. Arifin, E. Latifah, and MS Rahman. "Technical efficiency analysis of maize farming in Wajak District, Malang Regency with data envelopment analysis approach." IOP Conference Series: Earth and Environmental Science 1107, no. 1 (2022): 012030. http://dx.doi.org/10.1088/1755-1315/1107/1/012030.

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Abstract Technical efficiency is becoming essential indicators in estimating agriculture productivity, The aims of this research are to estimate the technical efficiency level and analysis factors affecting the technical efficiency level of maize farmer. The research was conducted in Wajak Sub-District of Malang Regency in East Java, Indonesia. Primary data was collected from 110 maize farmers and analyzed by data envelopment analysis and Tobit regression model. The result of this study claimed that farmers in the research location are technically inefficient because of the technical efficiency level less than one. Furthermore, the result of Tobit regression shows that the farmers’ education level has a significant and positive effect on technical efficiency level. However, the family dependency and farmer group participation have a significant and negative effect on technical efficiency level. This finding can be concluded that farmers need to minimize the input usage to increase the technical efficiency level.
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Papatheodorou, Theodore, John Giannatsis, and Vassilis Dedoussis. "Evaluating 3D Printers Using Data Envelopment Analysis." Applied Sciences 11, no. 9 (2021): 4209. http://dx.doi.org/10.3390/app11094209.

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Data Envelopment Analysis (DEA) is an established powerful mathematical programming technique, which has been employed quite extensively for assessing the efficiency/performance of various physical or virtual and simple or complex production systems, as well as of consumer and industrial products and technologies. The purpose of the present study is to investigate whether DEA may be employed for evaluating the technical efficiency/performance of 3D printers, an advanced manufacturing technology of increasing importance for the manufacturing sector. For this purpose, a representative sample of 3D printers based on Fused Deposition Modeling technology is examined. The technical factors/parameters of 3D printers, which are incorporated in the DEA, are investigated and discussed in detail. DEA evaluation results compare favorably with relevant benchmarks from experts, indicating that the suggested DEA technique in conjunction with technical and expert evaluation could be employed for evaluating the performance of a highly technological system, such as the 3D printer.
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Barpanda, Saswat, and Neena Sreekumar. "Performance Analysis of Hospitals in Kerala Using Data Envelopment Analysis Model." Journal of Health Management 22, no. 1 (2020): 25–40. http://dx.doi.org/10.1177/0972063420908372.

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Performance analysis in any industry plays a vital role in understanding the current scenario and thereby improving the overall efficiency. Using a sample of 20 hospitals randomly selected in Kerala, performance measures of quality were examined as they related to technical efficiency. Efficiency scores for the study hospitals were computed using data envelopment analysis (DEA). The study found that the technically efficient hospitals were performing well as far as quality measures were concerned. DEA can be used to benchmark both dimensions of hospital performance, that is, technical efficiency and quality. The variables selected for the study were divided under input and output measures. Using the DEA model, the factors considered were weighed and analysis was done. The input variables under study are bed number, trained medical staff and services offered. The output variables considered were outpatient rate, mortality rate and number of surgical operations in a month. Through the study, performance of each hospital is measured, and it aims to find out a relation between the input and output variables.
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Dissertations / Theses on the topic "Data Envelopment Analysis Technical Efficiency"

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Pak, Anastassiya. "Aplikace metody Data Envelopment Analysis na vybrané bankovní instituce." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-116585.

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The following thesis documents application of Data Envelopment Analysis method on the sample of eight banks which were functioning on the Czech banking market during the period 2007 -- 2010 in order to measure their technical efficiency. Thesis consists of two major parts -- theoretical and practical one. The first part includes main principles, areas of application of the method and theoretical base of the DEA which will be used in the practical part. Second part presents brief description of the trends on the Czech banking market and it's development during the period 2007 -- 2010. Practical part also contains results of the measurement, its interpretation and analysis of main reasons of banks' inefficiency.
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Yang, Jingtao. "Quantifying the Technical Efficiency of Canadian Paratransit Systems Using Data Envelopment Analysis Method." Thesis, University of Waterloo, 2005. http://hdl.handle.net/10012/841.

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Paratransit service operators in Canada are under increasing pressure to improve the operational productivity of their services due to increased demand and tightening financial constraints. To achieve this, Paratransit operators need to know their performance as compared to peer systems and the best practices within the industry. This will enable each operator to identify where and how much improvement should be made in order to be on a par with the industry?s best practices. Little research effort, however, has been devoted to the issue of how to measure and compare paratransit efficiency in a consistent and systematic manner. <br /><br /> This research focuses on evaluating the level of efficiency of individual paratransit systems in Canada with the specific objective of identifying the most efficient service agencies and the sources of their efficiency. By identifying the most efficient systems along with the influencing factors, it is possible that new service policies and management and operational strategies could be developed for improved resource utilization and quality of services. To achieve this objective, this research applies the analysis methodology called Data Envelopment Analysis (DEA) approach which is a mathematical programming based technique for determining the efficiency of individual systems as compared their peers involving multiple performance measures. Annual operating data from Canadian Urban Transit Association for Canadian paratransit systems of year 2001, 2002 and 2003 are used in this analysis. Regression analysis is performed to identify the possible relationship between the efficiency of a paratransit system and some measurable operating, managerial and other factors which could have an impact on the performance of paratransit systems. The regression analysis also allows for the calculation of confidence intervals and bias for the efficiency scores in order to assess their precision.
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Pereira, Djalma Siqueira. "Technical efficiency of production of graduate courses through the ufc data envelopment analysis." Universidade Federal do CearÃ, 2012. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=7430.

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nÃo hÃ<br>The technical efficiency of production presents itself as a powerful tool to support decision making by providing tools for implementing actions that provide courses to graduate a better quality of teaching in their academic units. This work intends to analyze the technical efficiency of production of post-graduate of the UFC, with reference to the years 2007, 2008 and 2009 using DEA (Data Envelopment Analysis) - Data Envelopment Analysis. Other objectives that guided this study are: To provide information which could lead to increase actions to improve the methodology of intellectual production; Understanding the reasons why some courses to produce more and better than others so equated and growing; Provide grants to identify where efforts production should be concentrated. We applied the DMU (Decision Making Units) in the model that defines a boundary focused on efficient and inefficient units. In this application we used the DEA-CCR implemented by DEA-Solver software Pro8.0/CCR. Data were extracted from the Data Collection CAPES applications which meet the criteria for assessment of intellectual production, which highlights the nature of bibliographic production and concepts of distribution and production. The model uses as input variables: Number of Number of teachers and learners, and product variables: Total of papers; Publications in full proceedings; Publications in technical production, research projects, work completed dissertations, theses completed work; Average time of titration (months) master's mean titration (months) PhD. The results show that the comparison between the most efficient and least efficient show that the basic characteristic is the use of available resources that came to add more and better production. The production values of course have no direct relation with the number of teachers or students, because it caused a drop in production value by observing these values compared between efficient and inefficient.<br>A eficiÃncia da produÃÃo tÃcnica se apresenta como uma poderosa ferramenta de apoio à tomada de decisÃes por oferecer instrumentos de implementaÃÃo de aÃÃes que asseguram aos cursos de pÃs-graduaÃÃo uma melhor qualidade de ensino em suas unidades acadÃmicas. O presente trabalho pretende analisar a eficiÃncia da produÃÃo tÃcnica dos cursos de pÃs-graduaÃÃo da UFC, tendo como referÃncia os anos de 2007, 2008 e 2009 utilizando a metodologia DEA (Data Envelopment Analysis) â AnÃlise EnvoltÃria de Dados. Outros objetivos que nortearam este estudo sÃo: disponibilizar informaÃÃes que possam permitir incrementar aÃÃes de melhorias na metodologia da produÃÃo intelectual; entender as razÃes que levam alguns cursos a produzirem mais e melhor que outros de forma equacionada e crescente; eornecer subsÃdios para identificar onde os esforÃos de produÃÃo devem ser concentrados. Aplicou-se a DMU (Decision Making Units) no modelo que define uma fronteira focada nas unidades eficientes e ineficientes. Nessa aplicaÃÃo foi utilizado o modelo DEA-CCR implementado pelo software DEA-Solver Pro8.0/CCR. Os dados foram extraÃdos do aplicativo Coleta de Dados CAPES os quais obedecem aos critÃrios de avaliaÃÃo da produÃÃo intelectual, em que se destaca a natureza da produÃÃo bibliogrÃfica e os conceitos da distribuiÃÃo e da produÃÃo. O modelo utilizou como variÃveis de insumo: Quantidade de docentes e Quantidade de discentes e como variÃveis de produtos: Total de trabalhos completos; PublicaÃÃes em Anais completos; PublicaÃÃes em produÃÃo tÃcnica; Projetos de pesquisa; Trabalhos de conclusÃo dissertaÃÃes; Trabalhos de conclusÃo Teses; Tempo mÃdio de titulaÃÃo (meses) mestrado; Tempo mÃdio de titulaÃÃo (meses) doutorado. Os resultados apontam que a comparaÃÃo entre as mais eficientes e as menos eficientes mostram que a caracterÃstica bÃsica à a utilizaÃÃo racional dos recursos disponÃveis que veio a agregar uma maior e melhor produÃÃo. Os valores da produÃÃo dos cursos nÃo tÃm relaÃÃo direta com o nÃmero dos docentes ou discentes, pois nÃo ocasionaram uma queda no valor da produÃÃo ao se observar estes valores comparativamente entre os eficientes e os ineficientes.
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Chimai, Bernadette Chewe. "Determinants of Technical Efficiency in Smallholder Sorghum Farming in Zambia." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306247474.

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Bagdadioglu, Necmiddin. "Privatisation, ownership and technical efficiency in the Turkish electricity supply industry using data envelopment analysis." Thesis, University of Leicester, 1995. http://hdl.handle.net/2381/35609.

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Castro, Pedro Sucena e. "Hospital efficiency: directed internship: Deloitte & NOVA SBE." Master's thesis, NSBE - UNL, 2012. http://hdl.handle.net/10362/9594.

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics<br>In a context of economic recession, where resource scarcity follows every manager, efficiency is the only way out. Health Care is no exception. Continuous budgetary cuts from central authorities led to increasing pressures in hospital managers to achieve efficient results. In light of being able to quantify efficiency, this work project has the aim of identifying the best of two frontier based analysis (Stochastic Frontier Analysis and Data Envelopment Analysis) by performing efficiency estimations for a single year using variables from the Portuguese reality, allowing the identification of inefficiency sources. Efficiency scores will be obtained to compare hospitals for efficiency ranks and several efficiency-seeking suggestions will be stated in the end. The scores obtained from the estimations show that some hospitals still have a rough path to endure if they are to achieve economic efficiency. From the analysis we can see that efficient hospitals vary for each model. (8 in SFA [hospitals with a score higher than 0.95] and 17 in DEA). Estimation outputs suggest that changes in hospital size or services provided should occur in order to achieve higher efficiency, which is in light with the presently taken health policies.
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Kazemi, Mina. "Assessing public spending efficiency in 20 OECD countries." Master's thesis, Instituto Superior de Economia e Gestão, 2016. http://hdl.handle.net/10400.5/11711.

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Mestrado em Economia Monetária e Financeira<br>Being allocated a large share of a country's GDP to the public spending, would rise the question of whether these resources are distributed and allocated in an efficient manner that leads the country to go through the growth enhancing economic path or not. This study is mainly going to follow Afonso, Schuknecht, and Tanzi (2005), aiming to look at the public expenditure of 20 OECD countries for the period 2009-2013, from the perspective of efficiency and assess if these developed countries are performing efficiently compared to each other. In order to evaluate the efficiency scores, Public Sector Performance (PSP) and Public Sector Efficiency (PSE) indicators were constructed and Data Envelopment Analysis was conducted. The results of these analyses show that the only country that performed on the efficiency frontier is Switzerland. The average input-oriented efficiency score is equal to 0.732. That is, on average countries could have reduced the level of public expenditure by 26.8% and still achieved the same level of public performance. The average output-oriented efficiency score is 0.769 denoting that on average the sample countries could have increased their performance by 23.1% by employing the same level of public expenditure.
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Zheng, Wanyu. "Efficiency measurement : a methodological comparison of parametric and non-parametric approaches." Thesis, University of Bradford, 2013. http://hdl.handle.net/10454/7294.

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The thesis examines technical efficiency using frontier efficiency estimation techniques from parametric and non-parametric approaches. Five different frontier efficiency estimation techniques are considered which are SFA, DFA, DEA-CCR, DEA-BCC and DEA-RAM. These techniques are then used on an artificially generated panel dataset using a two-input two-output production function framework based on characteristics of German life-insurers. The key contribution of the thesis is firstly, a study that uses simulated panel dataset to estimate frontier efficiency techniques and secondly, a research framework that compares multiple frontier efficiency techniques across parametric and non-parametric approaches in the context of simulated panel data. The findings suggest that, as opposed to previous studies, parametric and non-parametric approaches can both generate comparable technical efficiency scores with simulated data. Moreover, techniques from parametric approaches, i.e. SFA and DFA are consistent with each other whereas the same applies to non-parametric approaches, i.e. DEA models. The research study also discusses some important theoretical and methodological implication of the findings and suggests some ways whereby future research can enable to overcome some of the restrictions associated with current approaches.
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Badarch, Bayarbat. "Corn Yield Frontier and Technical Efficiency Measures in the Northern United States Corn Belt: Application of Stochastic Frontier Analysis and Data Envelopment Analysis." Diss., North Dakota State University, 2020. https://hdl.handle.net/10365/31867.

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About 75% of human food in the 21st century consists of just 12 crops, though specific crops vary among nations. Modern technology has allowed development of innovative food and non-food uses for these commodities. For instance, corn (maize (Zea mays L.)) is produced for many purposes, including food, livestock feed, biofuels, fiber for clothing, etcetera. Scientists project the human population will reach 9.2 billion in next 20 years—an 18% increase from the 2020 population of 7.8 billion—resulting in increased demand for corn and other crops. Hence, farmers must increase total crop production to meet demand; however, local agricultural resource endowments such as climate, land and water availability, and soil attributes constrain production. Perhaps the quickest yield and efficiency improvements will result from farm management practices that tailor input applications to match accurate seasonal weather forecasts. Regional seasonal weather forecasts would enable farmers to optimize yields by reducing yield risk from extreme weather events, as well as from less extreme inter-annual weather variability. Improved productive efficiency is also critical to reducing environmental harms, e.g. contaminated runoff from excessive agricultural input use. The objective of this dissertation is to estimate the corn yield frontier and efficiency measures based on agricultural input management and weather. This research contributes to an enhanced understanding of how the corn yield frontier responds to inter-annual weather variations, and how it may shift with climate change. The first chapter summarizes three main topics—farm technology, climate change and weather variability, and methods for evaluating production efficiency. The second presents estimated corn yield frontiers and efficiency measures based on stochastic frontier and data envelopment analyses for nine North Dakota Agricultural Statistics Districts from 1994 to 2018. The third presents corn yield efficiency measures for five states: Minnesota, North Dakota, Nebraska, South Dakota, and Wisconsin from 1994 to 2018. The results reveal the major causes of inter-annual yield variation are variability of rainfall and temperature. Development of accurate growing-season weather forecasts is likely to result in high value-added for farmers and downstream agribusinesses. Federal, state, and private research funding in seasonal weather forecasting would probably be well invested.
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Maredza, Andrew. "Profit incentives and technical efficiency in the provision of health care in Zimbabwe: an application of data envelopment analysis and econometric methods." Thesis, University of Fort Hare, 2009. http://hdl.handle.net/10353/294.

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This study examines issues surrounding efficiency in the Zimbabwean health sector with specific emphasis on for-profit hospitals in order to find out whether they are significantly more efficient than non-profit hospitals. The study attempts to explore the significance of profit incentives on efficiency. This study uses the Data Envelopment Analysis (DEA) methodology to examine hospital efficiency scores for the 100 hospitals in the sample classified as for-profit, mission and public. Outputs of the study include inpatient days and outpatient visits. The number of beds, doctors and nurses were used to capture hospital inputs. The findings indicated that there was a marked deviation of efficiency scores from the best practice frontier with for-profit hospitals having the highest mean PTE of 71.1 percent. The mean PTE scores for mission and public hospitals were 64.8 percent and 62.6 percent respectively. About 85 percent, 83 percent and 91 percent of the for-profit, mission and public hospitals were found to be operating below their average PTE. More than half of the hospitals are being run inefficiently. Of more importance to this study is the fact that the hypothesis of for-profit hospital superiority was accepted implying that for profit hospitals are significantly more efficient than the non-profit category. The study indicated that the amount of inputs being used could be decreased substantially without decreasing the quantity of outputs achieved. In each of the hospitals included in the study, the total input reductions needed to make inefficient hospitals efficient are more than 50 percent. These input savings could go a long way in achieving other health concerns without mobilizing additional resources in the sector
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Books on the topic "Data Envelopment Analysis Technical Efficiency"

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(Bangladesh), Institute of Microfinance, ed. Technical efficiency analysis of PRIME branches in monga areas of Bangladesh: An application of data envelopment analysis. Institute of Microfinance (InM), 2014.

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Sengupta, Jati, and Biresh Sahoo. Efficiency Models in Data Envelopment Analysis. Palgrave Macmillan UK, 2006. http://dx.doi.org/10.1057/9780230598171.

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Shawna, Grosskopf, and Margaritis Dimitris, eds. Advances in data envelopment analysis. World Scientific Publishing Co. Pte. Ltd., 2015.

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Hosseinzadeh Lotfi, Farhad, Tofigh Allahviranloo, Witold Pedrycz, Mohammad Reza Mozaffari, and Javad Gerami. Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-43181-4.

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Sengupta, Jatikumar. Dynamics of data envelopment analysis: Theory of systems efficiency. Kluwer Academic Publishers, 1995.

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Michael, Norman. Data envelopment analysis: The assessment of performance. Wiley, 1991.

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John, Cubbin, ed. Public sector efficiency measurement: Applications of data envelopment analysis. Elsevier Science Publishers, 1992.

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

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Springer, Jeffrey M. An interservice comparison of recruiting efficiency using data envelopment analysis. Naval Postgraduate School, 1992.

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Marinho, Alexandre. Brazilian federal universities: Relative efficiency evaluation and data envelopment analysis. Pós-Graduação em Economia, Escola de Pos-Graduação, Centro de Estudos de Reforma do Estado, 1997.

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Book chapters on the topic "Data Envelopment Analysis Technical Efficiency"

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Sengupta, Jati K. "Technical Change and Efficiency." In Dynamics of Data Envelopment Analysis. Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8506-4_3.

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Emrouznejad, Ali, Konstantinos Petridis, and Vincent Charles. "Allocative, Cost, Technical, Revenue, and Profit Efficiency." In Data Envelopment Analysis with GAMS. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-30701-0_5.

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Byrnes, Patricia, and Vivian Valdmanis. "Analyzing Technical and Allocative Efficiency of Hospitals." In Data Envelopment Analysis: Theory, Methodology, and Applications. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-0637-5_7.

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Sunitha, S., and Malathy Duraisamy. "Measuring Efficiency of Technical Education Institutions in Kerala Using Data Envelopment Analysis." In Human Capital and Development. Springer India, 2012. http://dx.doi.org/10.1007/978-81-322-0857-0_8.

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Tayeh, Feras, and Shujun Ye. "Technical Efficiency Analysis of Bus Companies Based on Stochastic Frontier Analysis and Data Envelopment Analysis." In LISS2019. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5682-1_68.

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Kartikasari, Cynthia Yohanna, and Suyanto Suyanto. "Potential Spillover from Foreign Companies." In Proceedings of the 19th International Symposium on Management (INSYMA 2022). Atlantis Press International BV, 2022. http://dx.doi.org/10.2991/978-94-6463-008-4_37.

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AbstractThe textile industry in Indonesia is fascinating to study due to its essential role in the Indonesian economy and as a strategic sector for employment. While imported items continue to dominate raw material supply in this sector, Foreign Direct Investment (FDI) inflows will bring about externality effects on a firm’s efficiency. This current study examines the spillover effect of Foreign Direct Investment on firms’ technical efficiency in Indonesia’s convection industry (ISIC 14111). The study used Data Envelopment Analysis (DEA) models to calculate technical efficiency scores for each firm in the convection sector from 2010 to 2013. Changes in productivity levels are projected to occur due to technical efficiency changes. The findings indicate that Foreign Direct Investment can positively affect changes in technical efficiency through capital-labor ratio, foreign ownership, and imported material.
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Rodríguez-Aguilar, Román, and Jose Antonio Marmolejo-Saucedo. "Evaluation of Technical Efficiency of Thermal Power Units in Mexico: Data Envelopment Analysis and Stochastic Frontiers." In Modeling, Simulation, and Optimization. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70542-2_8.

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Gouveia, Maria, Carla Henriques, and Ana Amaro. "Are ERDF Efficient in Strengthening the Switch to a Low-Carbon Economy? Some Insights with Value-Based Data Envelopment Analysis." In Springer Proceedings in Political Science and International Relations. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-18161-0_5.

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AbstractWe assessed the execution of European Regional Development Funds (ERDF) allocated to promote a Low-carbon economy (LCE) in 23 EU Member States (MS). Each MS is evaluated using the Value-Based Data Envelopment Analysis (VBDEA) method. In the first stage, the efficient MS were identified, and the major reasons that might affect the efficient performance of the ERDF. From the results obtained, 43% of the MS were deemed efficient in the application of ERDF committed to fostering an LCE, and these results were mostly justified by their financial spending rate. At the second stage of the analysis, the changes that needed to be done by inefficient MS to “try and replicate” their efficient counterparts were computed. Furthermore, from the robustness assessment conducted it was possible to show that with thresholds of δ = 5% and δ = 10%, 22% of the MS managed to attain a robust efficiency. While Spain is the leading country in terms of robustness efficiency, Romania (robustly inefficient for δ = 5%), Hungary, and the Czech Republic (the worst in the ranking of inefficient MS) could not apply these funds properly. Given this information, the EU should continue to push policies that secure financial opportunities from engaging in LCE, particularly for MS with limited financial capacities, while still supplying them with improved funding mechanisms and technical expertise.
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Behr, Andreas. "Data Envelopment Analysis." In Production and Efficiency Analysis with R. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20502-1_6.

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Sengupta, Jati K. "Stochastic Efficiency." In Dynamics of Data Envelopment Analysis. Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8506-4_4.

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Conference papers on the topic "Data Envelopment Analysis Technical Efficiency"

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Feng, Jingwen, Hang Su, Junbin Tan, and Jiaqian Ou. "Research and analysis of heliostat optical efficiency based on data envelopment analysis." In 2024 4th International Conference on Energy, Power and Electrical Engineering (EPEE). IEEE, 2024. https://doi.org/10.1109/epee63731.2024.10875152.

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KÜPELІ, Mihraç, and Esra SÖĞÜT. "Assessment of the Cybersecurity Efficiency of G20 Countries Using Data Envelopment Analysis." In 2024 17th International Conference on Information Security and Cryptology (ISCTürkiye). IEEE, 2024. https://doi.org/10.1109/isctrkiye64784.2024.10779233.

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Rahman, Rahayu, Zalina Zahid, Siti Shaliza Mohd Khairi, and Siti Aida Sheikh Hussin. "Modeling technical efficiency of inshore fishery using data envelopment analysis." In THE 4TH INTERNATIONAL CONFERENCE ON QUANTITATIVE SCIENCES AND ITS APPLICATIONS (ICOQSIA 2016). Author(s), 2016. http://dx.doi.org/10.1063/1.4966081.

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Vachhrajani, Hardik, and Amritpal Singh Dhillon. "Measuring Technical Efficiency of Thermal Power Plant Using Data Envelopment Analysis." In the 2014 International Conference. ACM Press, 2014. http://dx.doi.org/10.1145/2660859.2660968.

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Pan, F., N. L. Li, and J. Gao. "Data envelopment analysis model and its application on technical efficiency evaluation of coal enterprise." In EM). IEEE, 2009. http://dx.doi.org/10.1109/icieem.2009.5344623.

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"Measurement of Technical Efficiency using Data Envelopment Analysis: A Case of Indian Textile Industry." In 3rd International Conference on Advances in Engineering Sciences and Applied Mathematics. International Institute of Engineers, 2015. http://dx.doi.org/10.15242/iie.e0315024.

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Li, Ying, and Lixin Miao. "Technical Efficiency of Container Terminals in China Using a Multi-Activity Data Envelopment Analysis Model." In Ninth International Conference of Chinese Transportation Professionals (ICCTP). American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41064(358)433.

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Tang, Wen, Ai-Zu Chen, and Yan-Hong Yang. "Input-Output Efficiency Analysis of Enterprise Scientific and Technical Resources: Research Based on Data Envelopment Analysis Model." In 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2008. http://dx.doi.org/10.1109/wicom.2008.3048.

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Mihaljević Kosor, Maja, and Klara Jurčak. "Efficiency Analysis of European Higher Education in Achieving Sustainable Development Goals." In 6th International Scientific Conference – EMAN 2022 – Economics and Management: How to Cope With Disrupted Times. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2022. http://dx.doi.org/10.31410/eman.2022.225.

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This research aims to evaluate the technical efficiency of higher education in EU member states in achieving the Sustainable Development Goals. Measuring the coefficient of technical efficiency provides more information on the extent to which inputs are used to pro­duce outputs. Data Envelopment Analysis is used to determine the coefficients of technical effi­ciency. We use three inputs and three outputs in the evaluation of technical efficiency. The inputs used in this research are the total number of students, the number of academic staff and public expenditure on higher education, while the outputs are the number of graduates, employment rates of recent graduates and the overall score of the EU member state in the Sustainable Devel­opment Goals. Assessing technical efficiency ratios will help us determine which state uses its re­sources most efficiently in the higher education sector. It will also highlight less efficient coun­tries and point out ways to improve their efficiency.
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Milosavljević, Milan, and Zoran Bundalo. "Determination of the technical efficiency of the UIRR terminals using Data Envelopment Analysis method (DEA) from CCR model." In TRANSPORT FOR TODAY'S SOCIETY. Faculty of Technical Sciences Bitola, 2021. http://dx.doi.org/10.20544/tts2021.1.1.21.p35.

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Abstract – The presented paper measured the efficiency of terminals for combined transport from ten European countries members of UIRR, using DEA method. The results can be used for improving terminals operations and making key management decisions. Also, results indicate that the variable selection has a great influence on the resulting estimates of technical efficiency. Keywords – Efficiency, UIRR terminal operators, DEA
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Reports on the topic "Data Envelopment Analysis Technical Efficiency"

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Ludeña, Carlos E. Agricultural Productivity Growth, Efficiency Change and Technical Progress in Latin America and the Caribbean. Inter-American Development Bank, 2010. http://dx.doi.org/10.18235/0010939.

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This paper analyzes total factor productivity growth in agriculture in Latin America and the Caribbean between 1961 and 2007 employing the Malmquist Index, a non-parametric methodology that uses data envelopment analysis (DEA) methods. The results show that among developing regions, Latin America and the Caribbean shows the highest agricultural productivity growth. The highest growth within the region has occurred in the last two decades, especially due to improvements in efficiency and the introduction of new technologies. Within the region, land-abundant countries consistently outperform land-constrained countries. Within agriculture, crops and non-ruminant sectors have displayed the strongest growth between 1961 and 2001, and ruminant production performed the worst. Additional analysis of the cases of Brazil and Cuba illustrates potential effects of policies and external shocks on agricultural productivity; policies that do not discriminate against agricultural sectors and that remove price and production distortions may help improve productivity growth.
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Boonyasai, Thitivadee. Thai life insurer efficiency. Chulalongkorn University, 2000. https://doi.org/10.58837/chula.res.2000.18.

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The study global objective is to provide an analysis of the efficiency of the Thai life insurance industry during 1990-1997. This research utilizes data envelopment analysis (DEA), a mathematical programming approach, to calculate efficiency. To investigate productivity changes, a Malmquist analysis is used to determine whether and the extent of efficiency changes. This study found that the Thai life insurance industry seems to have regressed in terms of efficiency after 1992. This drop in total efficiency was due to the inability of the average firm to keep pace with the best-practice life insurer as well as to loss in scale efficiency. This may be because Thailand did not adopt more liberal policies and maintained restrictive regulatory regimes. The evidence suggests that, during 1990-1997, productively growth was stimulated, particularly during 1995-1997. Productively growth in the Thai life insurance market was caused primarily by technological change due to an expanding production frontier rather than an improvement in technical efficiency. Study result is consistent with the view that a host –country insurers benefit from foreign investment. Study results, hence, provide some evidence supporting Thai regulatory changes that would enable host-country insurers to benefit from a more open market.
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Bastos, Fabiano, Rogério Boueri, Maria Cristina Mac Dowell, and Emilio Pineda. Analysis of Public Spending: An Evaluation Methodology for Measuring the Efficiency of Brazilian State Spending on Education. Inter-American Development Bank, 2014. http://dx.doi.org/10.18235/0007981.

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This study uses Data Envelopment Analysis (DEA) to evaluate the efficiency of state public education systems in Brazil. State government spending on education and state gross domestic product are interpreted as input variables, with the latter being non-discretionary. Output variables are based on the number of state public school students taking the ENEM (Exame Nacional do Ensino Médio, a national exam taken at the end of high school studies) and the Prova Brasil (a national exam taken at the end of the 5th and 9th grades) and their scores on these exams. Variables were not scaled per capita in order to allow us to draw conclusions about economies of scale. The main result was a negative correlation between per capita state spending on education and the relative efficiency of the state educational system, indicating that there is a limit to per capita educational spending beyond which technical efficiency in educational programs falls significantly.
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Nin Pratt, Alejandro, and Héctor Valdés Conroy. After the Boom: Agriculture in Latin America and the Caribbean. Inter-American Development Bank, 2020. http://dx.doi.org/10.18235/0002955.

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The convergence of a favorable macroeconomic environment and high prices of primary commodities between 2000 and 2011 contributed to the best performance of agriculture in Latin America and the Caribbean (LAC) since the 1980s, with steady growth of total factor productivity (TFP) and output per worker and a reduction in the use of input per worker. The end of the upward phase of the commodity cycle in 2011 together with less favorable external markets and a deterioration of the policy environment in several countries, motivates us to revisit the situation of agriculture in LAC in recent years to analyze how these changes have affected its performance. This study applies a framework that uses index numbers together with data envelopment analysis (DEA) to estimate levels of productivity and efficiency, incorporating technical change together with technical (TE) and environmental efficiency (EE) into the decomposition of TFP. The EE index adjusts the TFP measure for pollution, treating GHG emissions as a by-product of the desired crop or livestock outputs. TFP and efficiency of crop and livestock sub-sectors was calculated for 24 LAC countries from 2000 to 2016. Our results show that the period of fast agricultural growth in LAC, driven by technical change and resource reallocation, transformed agriculture in the region leaving it in a better position to cope with the more unfavorable regional macroeconomic environment and the less dynamic global markets observed after 2011.
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Ahn, T., A. Charnes, and W. W. Cooper. A Note on the Efficiency Characterizations Obtained in Different DEA (data Envelopment Analysis) Models. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada201343.

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Perez, Gonzalo, Osman Coskunoglu, and Alan W. Moore. Data Envelopment Analysis as a Tool to Evaluate Efficiency of Army Real Property Management Activities (RPMA) Spending. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada205052.

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Monsalve, Emma, Alma Romero, and António Afonso. Public Sector Efficiency: Evidence for Latin America. Inter-American Development Bank, 2013. http://dx.doi.org/10.18235/0006949.

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We compute Public Sector Performance (PSP) and Public Sector Efficiency (PSE) indicators and Data Envelopment Analysis (DEA) efficiency scores for a sample of twenty-three Latin American and Caribbean Countries (LAC) to measure efficiency of public spending for the period 2001-2010. Our results show that the PSE is inversely correlated with the size of the government, while the efficiency frontier is essentially defined by Chile, Guatemala, and Peru. Moreover, on average, output quantities could theoretically be proportionally increased by 19 percent with the same level of inputs. In addition, the performed Tobit analysis suggests that more transparency and regulatory quality improve the efficiency scores, while more transparency and control of corruption increase output-oriented efficiency.
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Goyeneche, Laura, and Sebastian Bauhoff. Efficiency of Health Systems in Middle-Income Countries and Determinants of Efficiency in Latin American and the Caribbean. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0005250.

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We estimate the efficiency of health spending in 145 middle and high-income and the potential gains from improving efficiency for a range of health system outputs using Data Envelopment Analysis for 2010-2014 and 2015-2019 and examine associations with health system characteristics. Focusing on Latin American and Caribbean countries, we find large variability in efficiency and overall substantial potential gains in the later period, despite improvements over time. Our results suggest that, for example, improving spending efficiency could increase life expectancy at birth by 3.5 years (4.6%), or slightly more than the 3.4 year improvement in average life expectancy in the region between 2000 and 2015. Similarly, improved efficiency could reduce neonatal mortality by 6.7 per 1,000 live births (62%), increase service coverage by 6 percentage points (8.7%), and reduce the rich-poor gap in birth attendance by 10 percentage points (12.6%). We find that governance quality is positively associated with efficiency. Overall, the findings indicate an urgent need to improve efficiency in the region and substantial scope for realizing the potential gains of such improvements.
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Arias, Karla, Segundo Camino-Mogro, Mariana Weiss, et al. Measuring the Efficiency in Energy Distribution Firms in LAC: A Service Provision and Financial Performance Approach. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0004547.

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This study identifies and analyzes the evolution of efficiency in providing services and in the financial performance of the LAC electricity distribution companies between 2014-2020. In addition, it examines firms characteristics that might be related to efficiencies, such as quality of service, corporate governance, firm size, and ownership. This paper uses a twostep procedure. First, it considers the efficiency levels and the total factor productivity (TFP) changes using the Malmquist index and breaks down the total change by relying on a nonparametric data envelopment analysis (DEA) approach. The second stage focuses on the drivers of efficiency obtained in the first stage using the Tobit technique. The main results suggest that there is no significant improvement in the levels of efficiency in the period analyzed in the energy distribution firms in LAC. When analyzing the heterogeneity of a company's efficiency, the evidence shows a relation between companies efficiency and the quality perceived by users, higher efficiency is related to better-perceived quality. Besides, companies characteristics, such as firm size, corporate governance, and ownership, are related to the heterogeneity of efficiency.
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ROTH, Vathana, Socheat KEO, and Sokcheng SIM. Profitability and Technical Efficiency of Chilli Farms in Cambodia. Cambodia Development Resource Institute, 2024. https://doi.org/10.64202/wp.144.202406.

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In this study, we examine the revenue, costs, profits and technical efficiency of chilli farms in Cambodia. We employ a representative sample of 542 chilli farming households from Banteay Meanchey, Battambang, Kampong Chhnang, Kampong Cham, Tboung Khmum and Kandal. The sample was randomly selected using a two-stage stratified sampling design, where villages were chosen in the first stage as the primary sampling unit and households engaged in chilli production were selected in the second stage as the secondary sampling units. The selection of primary sampling units was proportional to the number of households engaged in chilli farming in each sampled village, and the secondary sampling units were randomly chosen using a systematic sampling approach. Face-to-face interviews were conducted by experienced and qualified enumerators using tablets, and data collection was monitored and cleaned daily. Researchers employed two analytical frameworks: (1) a revenue-costs framework to calculate profits and (2) a stochastic frontier analysis with a Cobb-Douglas production function to estimate technical efficiency and to investigate its determinants. The analysis is conducted at the plot level, encompassing a total sample of 719 plots. The results show that bird’s eye, lady’s finger (cayenne pepper), white chilli and Hawaii (sweet) pepper are popular varieties, with bird’s eye and lady’s finger being the most cultivated. The average cultivated land area for chilli farming is 0.21 hectare (ha), yielding an average of eight tonnes of fresh chilli per hectare. Farmers can sell fresh chilli at an average price of KHR5,310 (USD1.32)/kg, and dried chilli for KHR10,000 (USD2.5)/kg. On average, farmers could attain accounting profits of KHR18.1 million (USD4,500)/ha. This constitutes approximately 50 percent of the total revenue of KHR36.5 million (USD9,125)/ha. The cultivation of bird’s eye chilli tends to provide the highest profits compared to other varieties. Investment consists of expenditures on materials, inputs, hired labour, rent for land use and capital depreciation. Specifically, costs related to inputs (such as seeds, fertiliser and pesticide) and hired labour for land preparation, plantation, care and harvest contribute to 43 percent and 33 percent of the total costs, respectively. About 81 percent of the total hired labour costs are allocated to harvest activities, reflecting the multiple harvests required for chilli cultivation. The results also indicate that there remains room for improvement in chilli yields, as 71 percent of the plots demonstrate technical efficiency levels of 60 percent or lower relative to the production frontier. Additionally, only about two percent of the plots could attain a technical efficiency level of 80 percent from the frontier, and none could achieve 100 percent efficiency. Farmers operating plots with technical efficiency close to the frontier could achieve an average yield of 15.25 tonnes/ha (95 percent CI: 7.96-22.60) on plots with an average land size of 0.39 ha (95 percent CI: 0.25-0.70). Several factors, including land size, household size, geographical location, and the presence of diseases and insects, are potential determinants influencing the technical efficiency of chilli farming. For instance, smaller land sizes may contribute to lower yields, as can the prevalence of diseases and insects. When asked about the challenges in chilli cultivation, farmers identified low and fluctuating chilli prices, along with issues of diseases and insects, as the main concerns. The Ministry of Agriculture, Forestry and Fisheries, along with other relevant ministries, could further enhance efficiency of chilli cultivation by exploring the following initiatives. Consider the feasibility of expanding cultivated land size, especially for households managing plots smaller than 0.2 ha Provide extension services tailored to optimising input utilisation and addressing issues related to diseases and insects Explore technological applications aimed at enhancing production efficiency and reducing costs, with a specific focus on mitigating input and labour expenses, given that chilli farming is identified as labour-intensive Investigate extending and enhancing production during the wet season (June-October), as chilli farmers commonly encounter challenges in cultivation, leading to comparatively lower yields and quality, consequently reducing prices and profits Continue efforts to reduce production costs with a particular focus on minimising expenditures associated with fertiliser, pesticides, electricity and fuel
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