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  • The main aim of our contribution is an evaluation of life quality in the districts of the Czech Republic during last ten years. As the life quality is depended on many criterions, we had to choose some of multicriteria decision making methods. For evaluation of particular years and districts the Data envelopment analysis (DEA) method was used. This method was initially proposed to evaluate the efficiency. In this paper the level of efficiency represents the level of life quality. In order to assess development of district's efficiency we decided to use Malmquist productivity index (MI). At first we used DEAP SW to compute MI but we had problems with inclusion of uncontrolled inputs into model. Therefore it was necessary to create own application in Maple. The comparison of widely used DEAP with our own procedure was an additional aim of this contribution. The input data set was created based on statistics periodically published by the Czech Statistical Office and Ministry of environment. Our model considered several socioeconomic variables: unemployment rate, criminality, average length of incapacity to work, index of ageing, proportion of economically active inhabitants and specific emissions.
  • The main aim of our contribution is an evaluation of life quality in the districts of the Czech Republic during last ten years. As the life quality is depended on many criterions, we had to choose some of multicriteria decision making methods. For evaluation of particular years and districts the Data envelopment analysis (DEA) method was used. This method was initially proposed to evaluate the efficiency. In this paper the level of efficiency represents the level of life quality. In order to assess development of district's efficiency we decided to use Malmquist productivity index (MI). At first we used DEAP SW to compute MI but we had problems with inclusion of uncontrolled inputs into model. Therefore it was necessary to create own application in Maple. The comparison of widely used DEAP with our own procedure was an additional aim of this contribution. The input data set was created based on statistics periodically published by the Czech Statistical Office and Ministry of environment. Our model considered several socioeconomic variables: unemployment rate, criminality, average length of incapacity to work, index of ageing, proportion of economically active inhabitants and specific emissions. (en)
Title
  • Using Malmquist index for evaluation of life quality development in the districts of the Czech Republic
  • Using Malmquist index for evaluation of life quality development in the districts of the Czech Republic (en)
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  • Using Malmquist index for evaluation of life quality development in the districts of the Czech Republic
  • Using Malmquist index for evaluation of life quality development in the districts of the Czech Republic (en)
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  • RIV/60076658:12510/14:43886774!RIV15-MSM-12510___
http://linked.open...avai/riv/aktivita
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  • I
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  • 52438
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  • RIV/60076658:12510/14:43886774
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  • migration; dwelling; index of ageing; incapacity of work; criminality; unemployment; LAU1; Malmquist productivity index, district; data envelopment analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [70954BAFE2AF]
http://linked.open...v/mistoKonaniAkce
  • Univerzita Palackého v Olomouci
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  • Olomouc
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  • MME 2014
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  • Friebel, Ludvík
  • Friebelová, Jana
http://linked.open...vavai/riv/typAkce
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number of pages
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  • Univerzita Palackého v Olomouci
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  • 978-80-244-4209-9
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  • 12510
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