A Generalization of the Grey Lotka–Volterra Model and Application to GDP, Export, Import and Investment for the European Union

Author:

Sterpu Mihaela1ORCID,Rocșoreanu Carmen2,Soava Georgeta2ORCID,Mehedintu Anca2ORCID

Affiliation:

1. Department of Mathematics, University of Craiova, 200585 Craiova, Romania

2. Department of Statistics and Economic Informatics, University of Craiova, 200585 Craiova, Romania

Abstract

This study proposes a generalized grey Lotka–Volterra model with a finite number of variables. The model is obtained by applying the grey modelling method to estimate the parameters of a finite dimensional quadratic Lotka–Volterra system. Subsequently, the model is used to analyze the competition and cooperation relationship between four macroeconomic indicators, namely Gross Domestic Product, Export, Import and Investment, and to obtain short-time forecasting for them. The data used in the empirical investigation cover the time periods 2005–2022 and 2011–2022, for the European Union. The empirical results are compared to the ones obtained by using the grey model GM(1,1) and the two-dimensional grey Lotka–Volterra model. Finally, economic interpretations of the empirical findings are formulated.

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

Reference62 articles.

1. Liu, S. (2023, January 15–17). Using grey Lotka-Volterra model to analyze the relationship between the gross domestic products and the foreign direct investment of Ningbo city. Proceedings of the 2013 IEEE International Conference on Grey Systems and Intelligent Services (GSIS), Macau, China.

2. Generalized GM (1,1) model and its application in forecasting of fuel production;Zhou;Appl. Math. Model.,2013

3. Predicting the research output/growth of selected countries: Application of even GM (1, 1) and ndgm models;Javed;Scientometrics,2018

4. Forecasting the electricity consumption of commercial sector in Hong Kong using a novel grey dynamic prediction model;Zeng;J. Grey Syst.,2018

5. Grey modelling based forecasting system for return flow of end-of-life vehicles;Ene;Technol. Forecast. Soc. Chang.,2018

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