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EN
Research background: Agriculture plays a vital role in producing food to ensure food security, but it is one of the biggest contributors to environmental pollution. One of the main goals of the new CAP is to set higher ambitions for environmental actions, which brings into the front the concept of agricultural eco-efficiency. The notion of eco-efficiency includes the economic and also ecological dimensions of sustainable agriculture. Purpose of the article: The main goal of this paper is to evaluate the eco-efficiency of agricultural production and its dynamics during the years 2013, 2015, and 2017 of NUTS 2 regions within the Visegrad 4  (V4), i. e. The Czech Republic, Slovakia, Hungary, and Poland. The part of the main goal is to verify the research hypothesis that all the biggest agriculture producers are eco-efficient. Methods: V4 regional eco-efficiency of the agricultural sector is expressed by the Malmquist productivity index and is estimated using the output-oriented Data envelopment analysis (DEA) model, under the assumption of constant return to scale (CRS). The Malmquist index is decomposed to technical eco-efficiency change (EC) and technological change (TC). Based on the eco-efficiency, technological and pure technical eco-efficiency change, V4 regions are classified into three groups: the most progressive regions, the progressive regions, and the regressive regions. Findings & value added: CZ02: Central Bohemia, CZ04: Northwest, HU33: Dél-Alföld, HU31: Észak-Magyarország, HU32: Észak-Alföld, PL21: Malopolskie, PL41: Wielkopolskie, SK01: Bratislava region, and SK02: Western Slovakia have an eco-effective agricultural sector, the remaining V4 regions have eco-ineffective agricultural sector. The research hypothesis that all the biggest agricultural producers are eco-effective is not confirmed. During the analyzed years, 19 V4 regions improve their agricultural eco-efficiency. The main contributor to eco-efficiency improvement is technological progress, which indicates that producers implement innovations that lead to more eco-efficiency agricultural production.
PL
W pracy przedstawiono zastosowanie pesymistycznego modelu DEA CCR oraz pesymistycznego indeksu Malmquista do badania zmian efektywności i produktywności polskich firm notowanych na GPW w Warszawie. Analiza efektywności poparta została wizualizacją obiektów w przestrzeni dwuwymiarowej. Obliczenia wykonano w pakiecie SAS w oparciu o wskaźniki finansowe firm publikowane w raportach finansowych.
EN
In the paper, application of pessimistic CCR DEA model and pessimistic Malmquist index to examination of efficiency and productivity changes was presented. The calculations were done for two groups of companies traded on Warsaw Stock Exchange. Analysis of efficiency was supported by graphical representation obtained with use of multidimensional scaling. Calculations were done in SAS using financial indicators published in financial reports.
EN
Local government units in Poland are obliged to improve the quality of life of their inhabitants concerning rules of sustainable development. The study described in the article is intended to measure the relative efficiency of management including examination of the relationship between various inputs and outputs in local government units. The analysis in the paper shows efficiency differences between local governments in comparison with sub-region leaders (group frontiers) and region leaders (meta-frontiers). The division into sub-regions and regions was made according to NUTS classification. The measurement of inputs and outputs in local government management units was based on indicators of sustainable development from SAS (Local Government Research System) database. Apart from static comparison (for a particular year) the main purpose of the article is to show changes of efficiency in 5 years horizon with application of dynamic meta-frontier approach. The outcome of the analysis made it possible to indicate some reference points (benchmarks), which may contribute to improve the efficiency of management in the local government units in Poland under research. The concepts delivered in the paper are employed for the purpose of assessing growth performance of local governments using a data set covering 128 cities in period 2006-2010.
EN
This paper empirically researches the productivity changes of Polish banking industry during period of 1998-2008, by applying a non-parametric Malmquist Productivity Index (MPI) method. This methodology is well establishing approach in exploring performance measures, productivity growth, technological change and technical efficiency. In specifying the variables input-output, an asset/profit approach has been is chosen, which simplify the potential correlation between financial results of the bank with the investment level in IT. Results indicate that during the study period, over eleven years Polish banking industry experienced steady technological progress. All 17 biggest banks chosen for the study, which represent 85% of the asset base, have maintained overall productivity gain. Within this group analysis shows no significant difference linked to the scale/size of the banks. Local inefficiency observed does not seem to have any systematic pattern.
EN
The aim of the study is to identify the types of economic activity in Poland that achieved the highest productivity dynamics, as well as to specify sources of the changes. It is empirically verified if the growth poles appear in a sphere of knowledge-based services. Decomposition of productivity changes into technological change and efficiency change is presented in the paper. Moreover, there are compared changes in total factor productivity, as well as changes in productivity of specified factors: labour, physical capital, and human capital and thus factoral sources of developmental dynamics are searched for. The presented research covers the period 2008–2016, that is specified by the appearance and breaking down the world economic crisis. To fulfil the research tasks the Malmquist index and its decomposition were used. The research results allow to confirm tendencies into a service knowledge-based economy’s development in Poland. As modern growth poles should be recognised the following sections: information and communication; financial and insurance activities; professional, scientific and technical activities. Specifying such sections as those with favourable productivity changes and technological progress creates some basis to direct structural policy to accelerate economic growth. Moreover, comparison of productivity dynamics of productive factors and its decomposition allows to conclude that a modern phase of changes in a structure of productive factors’ usage in Poland takes a form of extensive widening a range of knowledge use.
PL
Celem opracowania jest identyfikacja rodzajów działalności gospodarczej w Polsce o najwyższej dynamice produktywności oraz określenie źródeł tej dynamiki. Weryfikacji empirycznej poddaje się tezę o wyłanianiu się jednostek wiodących w sferze usług bazujących na wykorzystaniu wiedzy. W opracowaniu dokonuje się dekompozycji zmian produktywności z uwzględnieniem postępu technologicznego oraz efektywności technicznej. Ponadto porównuje się zmiany ogólnej produktywności, jak i produktywności poszczególnych nakładów: pracy prostej, kapitału fizycznego oraz kapitału ludzkiego, w ten sposób poszukując źródeł czynnikowych dynamiki rozwoju. Prezentowane badania dotyczą lat 2008–2016, a więc okresu ujawniania się i przełamywania ogólnoświatowych zjawisk kryzysowych. Realizację zadań badawczych oparto na zastosowaniu indeksu Malmquista i jego dekompozycji. Uzyskane wyniki pozwalają potwierdzić obecność tendencji do rozwoju usługowej gospodarki opartej na wiedzy w Polsce. Za współczesne jednostki motoryczne w kraju należy uznać sekcje: informacyjną, finansową, a także usługi profesjonalne. Identyfikacja tych sekcji jako charakteryzujących się korzystnymi zmianami produktywności i postępem technologicznym daje podstawy do kierunkowania polityki strukturalnej zapewniającej przyspieszenie tempa procesów wzrostowych. Ponadto zestawienie dynamiki produktywności poszczególnych czynników wytwórczych i jej dekompozycja pozwalają wskazać, że obecny etap zmian struktury wykorzystania zasobów produkcyjnych w Polsce przyjmuje raczej charakter ekstensywnego rozszerzania skali wykorzystania wiedzy.
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