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Economic impact of industrial segment in the selected country

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The inducted paper discusses economic effect resulting from industrial activities realized within national economy of the chosen country. The country of selection represents Poland. Economic impact is scrutinized through reflexing on gross domestic product. Industrial segment is deputized over various indicators whose scope strives to include different views on the industry field. The main point of this paper is to identify the exact relationship between dependent variable (gross domestic product) and a group of independent variables (picked industrial representatives). Such determination offers thereafter the possibility to estimate dependent variable’s value and its next forecast. What is more, the eventual sorting of involved industrial indicators is facilitated according to their importance. The multiple regression analysis is utilized as the method of investigation. Findings answer the stated questions and aims with a suggestion of an appropriate equation.
Wydawca
Rocznik
Tom
Strony
312--317
Opis fizyczny
Bibliogr. 26 poz., tab.
Twórcy
  • Technical University of Košice Faculty of Mining, Ecology, Process Control and Geotechnologies Institute of Control and Informatization of Production Processes Boženy Němcovej 3, 042 00 Košice, Slovak Republic
  • Technical University of Košice Faculty of Mechanical Engineering Department of Manufacturing Machinery Letná 9, 042 00 Košice, Slovak Republic
Bibliografia
  • [1] A. Aggarwal. "Promoting agglomeration economies and industrial clustering through SEZs: Evidence from India". Journal of International Commerce, Economics and Policy, vol. 2, no. 2, pp. 201-227, 2011. https://doi.org/ 10.1142/S1793993311000282
  • [2] R. Azen and D.V. Budescu. "The dominance analysis approach for comparing predictors in multiple regression". Psychological Methods, vol. 8, no. 2, pp. 129-148, 2003. https://doi.org/10.1037/1082-989X.8.2.129
  • [3] E. Drabikova and J. Svetlik. "Improving management of the company through Cranfield process model". MM Science Journal, vol. 2018, no. March, pp. 2153-2157, 2018. https://doi.org/10.17973/MMSJ.2018_03_201733
  • [4] European Union. About the EU: EU member countries in brief. Internet: https://europa.eu/european-union/abouteu/countries/member-countries/poland_en [Mar. 10, 2020].
  • [5] European Union. "An analysis of the role and impact of industry participation in the Framework Programmes: Final report". European Commission, Directorate-General for Research and Innovation, 7th Framework Programme, N 2012/S 144-240132. Luxembourg: Publications Office of the European Union, 2016. ISBN 978-92-79-57753-6
  • [6] E. Feckova Skrabulakova. "From multicriterial data analysis up to the exclusive contract". Tatra Mountains Mathematical Publications, vol. 72, no. 1, pp. 17-29, 2018. https://doi.org/10.2478/tmmp-2018-0018
  • [7] L. Fraccascia, V. Albino and C.A. Garavelli. "Technical efficiency measures of industrial symbiosis networks using enterprise input-output analysis". International Journal of Production Economics, vol. 183, pp. 273-286, 2017. https://doi.org/10.1016/j.ijpe.2016.11.003
  • [8] L. Fraccascia, D.M. Yazan, V. Albino and H. Zijm. "The role of redundancy in industrial symbiotic business development: A theoretical framework explored by agent-based simulation". International journal of production economics, vol. 221, 2020. https://doi.org/10.1016/j.ijpe.2019.08.006
  • [9] E. Gresova and J. Svetlik. "Modeling within national economy using industry-oriented indicators: Evidence from Czech Republic". MM Science Journal, vol. 2020, no. June, pp. 3892-3895, 2020. https://doi.org/10.17973/ MMSJ.2020_06_2019028
  • [10] U. Grömping. "Estimators of relative importance in linear regression based on variance decomposition". The American Statistician, vol. 61, no. 2, pp. 139-147, 2007. https://doi.org/10.1198/000313007X188252
  • [11] I.M. Haw, B. Hu, J.J. Lee and W. Wu. "The impact of industry concentration on the market’s ability to anticipate future earnings: International evidence". International Journal of Accounting & Information Management, vol. 24, no. 4, pp. 443-475, 2016. https://doi.org/10.1108/IJAIM-04- 2016-0034
  • [12] S. Hennequin, V.T. Ho, H.A. Le Thi, H. Nouinou and D. Roy. "Industrial symbioses: Bi-objective model and solution method". In: Le Thi H., Le H., Pham Dinh T. (Eds) Optimization of complex systems: Theory, models, algorithms and applications. World congress on global optimization 2019. Advances in intelligent systems and computing, Cham: Springer, vol. 991, pp. 1054-1066, 2020. https://doi.org/ 10.1007/978-3-030-21803-4_104
  • [13] W.T. Hoyt, S. Leierer and M.J. Millington. "Analysis and interpretation of findings using multiple regression techniques". Rehabilitation Counseling Bulletin, vol. 49, no. 4, pp. 223-233, 2006. https://doi.org/10.1177/ 00343552060490040401
  • [14] M. Kalouptsidi. "Detection and impact of industrial subsidies: The case of Chinese shipbuilding". The Review of Economic Studies, vol. 85, no. 2, pp. 1111-1158, 2018. https://doi.org/10.1093/restud/rdx050
  • [15] S. Labant, G. Weiss, M. Baran and M. Bindzarova-Gergelova. "Geodetic survey of the track planarity and the verticality of warehouse racks". In: Quality and leading innovation. Kosice: Faculty of Business Economics of the EU Bratislava, pp. 65-72, 2016. ISBN 978-617-589-123-0
  • [16] A. Malik, M. Lenzen, R.N. Ely and E. Dietzenbacher. "Simulating the impact of new industries on the economy: The case of biorefining in Australia". Ecological Economics, vol. 107, no. November, pp. 84-93, 2014. https://doi.org/10.1016/j.ecolecon.2014.07.022
  • [17] G.C. Mantese and D.C. Amaral. "Comparison of industrial symbiosis indicators through agent-based modeling". Journal of Cleaner Production, vol. 140, no. 3, pp. 1652- 1671, 2017. https://doi.org/10.1016/j.jclepro.2016.09.142
  • [18] K. Nimon. "Regression commonality analysis: Demonstration of an SPSS solution". Multiple Linear Regression Viewpoints, vol. 36, no. 1, pp. 10-17, 2010.
  • [19] K. Nimon, M. Lewis, R. Kane and R.M. Haynes. "An R package to compute commonality coefficients in the multiple regression case: An introduction to the package and a practical example". Behavior Research Methods, vol. 40, no. 2, pp. 457-466, 2008. https://doi.org/10.3758 /BRM.40.2.457
  • [20] H. Nouinou, D. Roy and S. Hennequin. "Mathematical modelling for flows optimization within an industrial symbiosis". IFAC-PapersOnLine, vol. 52, no. 13, pp. 1319-1324, 2019. https://doi.org/10.1016/j.ifacol.2019.11.381
  • [21] Organisation for Economic Co-operation and Development. OECD data: Catalogue of OECD Indicators. Internet: https://data.oecd.org/searchresults/?r=+f/type/indicators [Apr. 6, 2020].
  • [22] D.G. Sandler and P.D. Kuznetsov. "Industrial parks in Russia: Conceptual development of the project". Economy of Region, vol. 41, no. 1, pp. 76-88, 2015. https://doi.org/ 10.15826/recon.2015.1.007
  • [23] S. Sosnovskikh. "Industrial clusters in Russia: The development of special economic zones and industrial parks". Russian Journal of Economics, vol. 3, no. 2, pp. 174-199, 2017. https://doi.org/10.1016/j.ruje.2017.06.004
  • [24] A. Swiadek. "Sales range and innovative activity in the manufacturing system of Poland". Equilibrium. Quarterly Journal of Economics and Economic Policy, vol. 13, no. 4, pp. 725-740, 2018. https://doi.org/10.24136/eq.2018.035
  • [25] S. Tonidandel and J.M. LeBreton. "Determining the relative importance of predictors in logistic regression: An extension of relative weight analysis". Organizational Research Methods, vol. 13, no. 4, pp. 767-781, 2010. https://doi.org/10.1177/1094428109341993
  • [26] D.Z. Zeng. "China's special economic zones and industrial clusters: The engines for growth". Journal of International Commerce, Economics and Policy, vol. 3, no. 3, pp. 1250016, 2012. https://doi.org/10.1142/ S1793993312500160
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5f7b31e1-8025-45dd-ba1a-93d9aa5d1f7a
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