The positional MEF-TOPSIS method for the assessment of complex economic phenomena in territorial units

Łuczak, Aleksandra; Just, Małgorzata

doi:10.21307/stattrans-2020-018

Cited by 7 publications

(4 citation statements)

References 27 publications

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“…Stage one involves normalising the features according to one of the following formulae (Araujo et al, 2018;Brol, 2006;Çelen, 2014;Chakraborty & Yeh, 2009;Luczak & Just, 2020;Strahl, 1990):…”

Section: Methodsmentioning

confidence: 99%

Multi-criteria decision support methods for the selection of the optimum contractor: A case study of a passenger transfer centre

Łopatka,

Tłuczak,

Jadach

2023

J. sustain. dev. transp. logist.

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Purpose: The main purpose of the paper is to apply the TOPSIS method for selecting the optimal contractor for a passenger transfer center. Methodology: The methodology is based on the use of TOPSIS, which determines the distance of decision alternatives from the ideal and anti-ideal solutions using evaluation criteria. Results: Two different contractor rankings were obtained depending on the weights of the criteria. With equal weights, the best contractor is number 5, while with weights determined by formula (8), the best is number 4. Theoretical Contribution: The paper contributes to the field of investment project management by demonstrating how the TOPSIS method can aid in decision-making for optimal contractor selection, thereby reducing the risk of erroneous decisions. Practical Implications: The practical implications of this research are significant for investment projects, as the demonstrated methodology can be directly applied to the contractor selection process, potentially leading to more successful project outcomes.

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Section: Methodsmentioning

confidence: 99%

Multi-criteria decision support methods for the selection of the optimum contractor: A case study of a passenger transfer centre

Łopatka,

Tłuczak,

Jadach

2023

J. sustain. dev. transp. logist.

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“…There are examples of using TOPSIS to evaluate policy strategies of cities and regions based on several types of data (i.e., qualitative and quantitative) to eliminate any skewed assessment factors. The effectiveness of the methods has also been assessed by looking at development strategies at national and local levels [77], assessing the state of the environment [90,91] and assessing the financial condition or spatial diversity of regions [92][93][94] and quality of individual areas of public health care [95]. The TOPSIS method has also been used on a macro scale to assess the labour market environment [8,96], including its flexibility.…”

Section: Rationalitymentioning

confidence: 99%

Evaluating Labour Market Flexibility Using the TOPSIS Method: Sustainable Industrial Relations

et al. 2022

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This study evaluates labour market flexibility using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), a multi-criteria decision analysis (MCDA) method. TOPSIS is employed by comparing spatial (i.e., different countries) and temporal (i.e., long-time horizon) terms. Sustainable industrial relations processes are considered in shaping the flexibility of the labour market in 15 European Union Member States from 2009 to 2018. Countries are grouped into classes to provide a basis for benchmarking results against social and employment policies implemented at the national level. A five-step quantitative MCDA method is formulated using published data from the Organisation for Economic Co-operation and Development. The results indicate that the TOPSIS method is an appropriate approach for measuring labour market flexibility internationally. Moreover, in relation to workforce phenomena, the findings show that the method offers the possibility of examining the impact of particular factors related to social and employment policies of a country in terms of sustainable development and socioeconomic growth. The lack of precision tools to forecast the development of national and transnational labour markets—particularly during the COVID-19 era—highlights the importance of such a method for workforce planners and policymakers. Developing sustainable industrial relations in terms of associated national externalities is the motivation of the research.

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“…In the scientific literature, the FA of a local government is referred to as a complex (Łuczak, Just, 2020;Beer-Tóth, 2009), multi-faceted Ladner, Keuffer, 2018;Łuczak et al, 2018), and multidimensional economic phenomenon (Blöchliger, Rabesona, 2009;Ouali & Boussetta, 2017). It is based on theories and principles of public economics, fiscal policy, public finance, public administration, fiscal decentralisation, regional development, and local economics related to allocation, redistribution, stabilisation of the financial resources and improvement of the local and the FA.…”

Section: Financial Autonomy Of a Local Government And Theoretical Ass...mentioning

confidence: 99%

Improvement of financial autonomy of the rural municipalities in Lithuania using the spatial modelling method

Skauronė

Miceikienė

Žalkauskas

2022

Preprint

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In the scientific literature, the financial autonomy (FA) of rural municipalities has been referred to as a complex and dynamic phenomenon. Its manifestation has been claimed to depend on a variety of externalities and internalities of the local government. Rural municipalities occupy a significant share of the geographical space of the European Union and are very diverse. Hence, the manifestation of autonomy of the local government and possibilities for improvement of the FA in the rural areas are specific for each country and are characterised by their diversity and complexity. The issue of improvement of the FA has become of particularly topical interest in the context of regional and rural development in recent years. It has become increasingly relevant in autonomous and sustainable decision-making and implementation by the local governments as well as in the search for sustainable financial resources in spatial terms. Research aim: to develop the recommendations on improvement of the FA of the rural municipalities in Lithuania in the context of the key endogenous factors identified. The article presents the empirical research findings obtained as a result of an assessment of the FA of 36 rural municipalities in Lithuania under the multi-criteria decision analysis method TOPSIS. The restraining and driving endogenous factors of the FA of the rural municipalities were analysed by applying the Moran’s I statistic method. Global Moran’s I statistic and Cluster and Outlier Analysis (Anselin Local Moran's I) were used to check for global and local patterns in the distribution of the FA of Lithuanian municipalities and related factors. The research findings have demonstrated low or medium low the FA of rural municipalities in Lithuania. The result has been determined by the rapidly deteriorating demographic situation, restraining social factors, and contrasting economic environment observed in rural areas of Lithuania during the recent 11 years. The spatial autocorrelation models enabled the identification of the rural municipality clusters characterized by insufficient economic development and concentrated in the western and southern regions of the country. The spatial modelling-based assessment of the endogenous factors and using the tree-based regression model technique has shown the possibilities for improvement of the FA of rural municipalities of Lithuania. JEL Classification H72, R11, R15.

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The positional MEF-TOPSIS method for the assessment of complex economic phenomena in territorial units

Cited by 7 publications

References 27 publications

Multi-criteria decision support methods for the selection of the optimum contractor: A case study of a passenger transfer centre

Multi-criteria decision support methods for the selection of the optimum contractor: A case study of a passenger transfer centre

Evaluating Labour Market Flexibility Using the TOPSIS Method: Sustainable Industrial Relations

Improvement of financial autonomy of the rural municipalities in Lithuania using the spatial modelling method

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