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1

(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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2

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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3

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

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4

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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5

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

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6

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

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7

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

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8

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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9

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

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10

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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11

United States. Dept. of Agriculture. Economic Research Service, ed. Using data envelopment analysis to measure international agricultural efficiency and productivity. U.S. Dept. of Agriculture, Economic Research Service, 1994.

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12

Jacobs, Rowena. Alternative methods to examine hospital efficiency: Data envelopment analysis and stochastic frontier analysis. Centre for Health Economics, University of York, 2000.

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13

Rouatt, Stephen J. Two stage evaluation of bank branch efficiency using data envelopment analysis. National Library of Canada, 2003.

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14

Arnade, Carlos A. Using data envelopment analysis to measure international agricultural efficiency and productivity. U.S. Dept. of Agriculture, Economic Research Service, 1994.

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15

Arnade, Carlos A. Using data envelopment analysis to measure international agricultural efficiency and productivity. United States. Dept. of Agriculture, Economic Research Service, 1993.

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16

Nenovski, Nikolaĭ. Efficiency of the Bulgarian banking system: Traditional approach and data envelopment analysis. Agency for economic analysis and forecasting, 2008.

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17

Na, Min-ju. Han'guk kyoyuk ŭi hyoyulsŏng punsŏk: DEA iron kwa silche = Analysis on the efficiency of education in Korea : theory and practice of DEA. Hakchisa, 2018.

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18

Cooper, William W. Introduction to data envelopment analysis and its uses: With DEA-solver software and references. Springer, 2005.

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19

Emrouznejad, Ali. The assessment of dynanic efficiency of decision making units using data envelopment analysis. typescript, 2000.

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20

Thanassoulis, Emmanuel. Introduction to the theory and application of data envelopment analysis: A foundation text with integrated software. Kluwer Academic Publishers, 2001.

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21

Kasmin, Sutarji. Efficiency measurement of Malaysia's maritime enforcement agencies. Penerbit Universiti Kebangsaan Malaysia, 2009.

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22

Santos, Ana R. Efficiency, size benchmarks and targets for Portuguese Bank branches: An application of data envelopment analysis. University of Warwick. Warwick Business School Research Bureau, 1997.

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23

Mandal, Sabuj Kumar. Energy use efficiency in Indian cement industry: Application of data envelopment analysis and directional distance function. Institute for Social and Economic Change, 2009.

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24

Odeck, James. Measuring productivity growth and efficiency with data envelopment analysis: An application on the Norwegian road sector. Göteborgs universitet, 1993.

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25

Reese, David Norman. Applications of data envelopment analysis to measure the efficiency of software production in the financial services. National Library of Canada, 1996.

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26

Tam, Fai Keung. A study of the relative stock market pricing efficiency in several industries, using data envelopment analysis. National Library of Canada, 2001.

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27

S, Madheswaran, and Institute for Social and Economic Change, eds. Energy use efficiency in Indian cement industry: Application of data envelopment analysis and directional distance function. Institute for Social and Economic Change, 2009.

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28

Sengupta, Jatikumar. Efficiency models in data envelopment analysis: Techniques of evaluation of productivity of firms in a growing economy. Palgrave Macmillan, 2006.

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29

Drake, Leigh. Measuring the relative efficiency of the selling function: An application of data envelopment analysis to UK bank branches. Loughborough University of Technology, Department of Economics, 1995.

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30

Hawdon, David. Performance of power sectors in developing countries: A study of efficiency and World Bank policyusing data envelopment analysis. University of Surrey, 1996.

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31

service), SpringerLink (Online, ed. Health Care Benchmarking and Performance Evaluation: An Assessment using Data Envelopment Analysis (DEA). Springer Science+Business Media, LLC, 2008.

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32

Athanassopoulos, Antreas D. A comparison of data envelopment analysis and artificial networks as tools for assessing the efficiency of decision making units. University of Warwick. Warwick Business School Research Bureau, 1995.

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33

S, Madheswaran, and Institute for Social and Economic Change, eds. Measuring energy use efficiency in presence of undesirable output: An application of data envelopment analysis (DEA) to Indian cement industry. Institute for Social and Economic Change, 2010.

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34

Orlova, Ekaterina. Research and Development (R&D): data analysis and cost-effectiveness. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/1959274.

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The textbook outlines the methodological foundations of statistical analysis, modeling and forecasting of data characterizing research and development (R&D) both at the level of individual organizations and at the level of industries and regional systems. Examples of the analysis of empirical data on R&D are given, which allow us to get an idea of the scope of statistical data processing methods in the analysis of real economic processes. A set of methods for the economic justification of R&D projects, depending on their type and stage of the life cycle, is presented. Examples of e
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35

Advances in Data Envelopment Analysis. World Scientific Publishing Co Pte Ltd, 2015.

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36

Advances in Data Envelopment Analysis. World Scientific Publishing Co Pte Ltd, 2015.

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37

Sahoo, Professor Biresh, Biresh Professor Sahoo, and Jati K. Sengupta. Efficiency Models in Data Envelopment Analysis. Palgrave Macmillan, 2014.

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38

Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency. IGI Global, 2023.

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39

Sherman, H. David. Measurement of Hospital Efficiency Using Data Envelopment Analysis. Franklin Classics Trade Press, 2018.

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40

Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency. IGI Global, 2023.

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41

Sherman, H. David. Measurement of Hospital Efficiency Using Data Envelopment Analysis. Creative Media Partners, LLC, 2022.

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42

Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency. IGI Global, 2023.

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43

Sherman, H. David. Measurement of Hospital Efficiency Using Data Envelopment Analysis. Franklin Classics, 2018.

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44

Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency. IGI Global, 2023.

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45

Olejnik, Iwona, ed. Qualitative and quantitative methods in sustainable development. Wydawnictwo Uniwersytetu Ekonomicznego w Poznaniu, 2021. http://dx.doi.org/10.18559/978-83-8211-072-2.

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Systematic research and comprehensive analyses allow to monitor the implementation of the sustainable development goals. Obviously, when you are interested in the selected issue of sustainable development, it is worth using data from the secondary sources in the first place. This e-book presents a few selected methods that will allow you to answer the questions: how to gather data and how to analyse them? Among the data collection methods presented in this book, we have chosen both: qualitative, in particular focus group interview, and quantitative—based on a questionnaire. In terms of data an
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46

Dynamic and Stochastic Efficiency Analysis: Economics of Data Envelopment Analysis. World Scientific Publishing Co Pte Ltd, 2000.

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47

Mozaffari, Mohammad Reza, and Javad Gerami. Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis. Springer International Publishing AG, 2023.

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48

Dynamic and Stochastic Efficiency Analysis: Economics of Data Envelopment Analysis. World Scientific Publishing Company, 2000.

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49

Sengupta, Jati. New Efficiency Theory: With Applications of Data Envelopment Analysis. Springer, 2012.

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50

Sengupta, Jati. Dynamics of Data Envelopment Analysis: Theory of Systems Efficiency. Springer, 2010.

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