Papa, Javier (2022): Desenrollando el desarrollo económico argentino: Una metodología multi-criterio para la toma de decisiones de políticas.
Preview |
PDF
MPRA_paper_116783.pdf Download (2MB) | Preview |
Abstract
In the current context of complexity, multiple conflicts and inter-dependency, the main problem facing decision takers and, in particular, policy makers, is related to the formulation of multiple public policies that ought to be fulfilled at the same time while moving towards a more sustainable and equitable development. In order to meet multiple policy objectives, limited to the existing resources, a number of optimization methods or multi-criteria analysis have been developed and used (Munda, 2004). In the case of Argentina, the high degree of volatility observed in most of the macroeconomic variables thus affecting the business cycle, posit a particular challenge for policy maker to take decisions on the basis of frequently changing policy objectives. Based on primary data that have been reconciled and aggregated from micro to macro levels, we use a multi-criteria method (built on 13 different methodologies) to try and optimize the decision making process concerning –mostly- economic policies in Argentina. The preliminary results show that, at industry level, the service sector (along with the food processing and construction sector) in core regions of Buenos Aires, Santa Fe and Cordoba seem to be the most important ones to satisfy the policy objectives (e.g. inclusiveness, dynamism, stability, sovereignty, federalism, and sustainability) with the corresponding weights chosen by the policy-makers for the purpose of this paper.
Item Type: | MPRA Paper |
---|---|
Original Title: | Desenrollando el desarrollo económico argentino: Una metodología multi-criterio para la toma de decisiones de políticas |
English Title: | Unravelling economic development in Argentina: A multi-criteria methodology for decision-making in public policy |
Language: | Spanish |
Keywords: | Economic Development; Multi-Criteria Methodology; Decision-Making; Public Policy; Argentina |
Subjects: | B - History of Economic Thought, Methodology, and Heterodox Approaches > B4 - Economic Methodology > B41 - Economic Methodology H - Public Economics > H5 - National Government Expenditures and Related Policies > H59 - Other O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development > O11 - Macroeconomic Analyses of Economic Development O - Economic Development, Innovation, Technological Change, and Growth > O2 - Development Planning and Policy > O21 - Planning Models ; Planning Policy O - Economic Development, Innovation, Technological Change, and Growth > O5 - Economywide Country Studies > O54 - Latin America ; Caribbean |
Item ID: | 116783 |
Depositing User: | Dr Javier Papa |
Date Deposited: | 24 Mar 2023 13:55 |
Last Modified: | 24 Mar 2023 13:55 |
References: | Afshari, A.; Mojahed, M.; Yusuff, R. M. (2010), Simple additive weighting approach to personnel selection problem. International Journal of Innovation, Management and Technology, 1, 511-515. Badi, I. A.; Abdulshahed, A. M.; Shetwan, A. G. (2018), A case study of supplier selection for a steelmaking company in Libya by using the combinative distance-based assessment (CODAS) model. Decision Making: Applications in Management and Engineering, 1 (1), 01-12. Chakraborty, S. (2010), Applications of the MOORA Method for Decision Making in Manufacturing Environment, The International Journal of Advanced Manufacturing Technology 2010, 54 (9-12), 1155-1166. Das, M. C.; Sarkar, B.; Ray, S., (2012), A framework to measure relative performance of Indian technical institutions using integrated fuzzy AHP and COPRAS methodology, SocioEconomic Planning Sciences 2012, 46 (3), 230-241. Lee, E. S. Q.; Rangaiah, G. P., Optimization of recovery processes for multiple economic and environmental objectives, Ind. Eng. Chem. Res. 2009, 48, 7662-7681. Martínez-Morales, J. D.; Pineda-Rico, U.; Stevens-Navarro, E. (2010), Performance comparison between madm algorithms for vertical handoff in 4g networks, https://pdfs.semanticscholar.org/cd67/f9b9fee3845e4a9a16113fbdfade0fec8e29.pdf Munda, Giuseppe (2004), Métodos y Procesos Multicriterio para la Evaluación Social de las Políticas Públicas, Revista Iberoamericana de Economía Ecológica (REVIBEC), ISSN 1390-2776, Vol. 1, 2004, pags. 31-45, https://raco.cat/index.php/Revibec/article/view/38279/38153. Opricovic, S.; Tzeng, G. H. (2004), Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS, European Journal of Operational Research 2004, 156, 445-455. Ouattara, A.; Pibouleau, L.; Azzaro-Pantel, C.; Domenech, S. (2013), Economic and environmental impacts of the energy source for the utility production system in the HDA process. Energy Convers. Manage, 74, 129-139. Pamucar, D. & Cirovic, G. (2015), The Selection of Transport and Handling Resources in Logistics Centers using Multi-Attributive Border Approximation Area Comparison (MABAC). Expert Systems with Applications, 42 (6), 3016-3028. Ros, J. C. (2011), Introduction to decision deck-diviz: Examples and user guide, http://www.diviz.org/_static/ReportDecisionDeck-DEIM-URV.pdf . Sanaye, S.; Modarrespoor, D. (2014), Thermal-economic multi-objective optimization of heat pipe heat exchanger for energy recovery in HVAC application using genetic algorithm, Thermal Science, 18, 375-391. Savitha, K.; Chandrasekar, C. (2010), Vertical handover decision schemes using saw and wpm for network selection in heterogeneous wireless networks, Global Journal of Computer Science and Technology 11, 19-24. Shirazi, A.; Najafi, B.; Aminyavari, M.; Rinaldi, F.; Taylor, R. A. (2014), Thermal-economic-environmental analysis and multi-objective optimization of an ice thermal energy storage system for gas turbine cycle inlet air cooling, Energy, 69, 212-226. Veskovic, S.; Stevic, Ž.; Stojic, G.; Vasiljevic, M.; Milinkovic, S. (2018), Evaluation of the railway management model by using a new integrated model DELPHI-SWARA-MABAC, Decision Making: Applications in Management and Engineering 2018, 1 (2), 34-50. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/116783 |