Integration of input–output approach into agent-based modeling:part 2. interregional analysis in an artificial economy

Abstract
The article demonstrates the possibilities of spatial analysis provided by the Agent-Based Multiregional Input – Output Model (ABMIOM) of the Russian economy. The basic hypothesis of the ABMIOM is that agents’ decisions at the microeconomic level lead to spatial changes at the macro level. Confirmation of this hypothesis requires experimental calculations with changes in various parameters that influence agents’ decisions (such as prices, taxes, tariffs, etc.). Analyzing the results of these calculations requires moving from microeconomic data to the macro level. The paper proposes a method for the structural analysis of the model simulation results using input-output tables. The method involves statistical aggregation of calculation results, construction of regional, national and interregional input-output tables and structural analysis of the obtained tables including calculation of regional Leontief multipliers. The method proposed is used to study the influence of the level of transport costs on the geographical structure of trade flows. The results of the experiments confirmed that with the increase of transportation costs economic agents prefer to interact with nearest agents, which leads to a decreased interregional commodity exchange and to economic «insulation» of the regions.

Keywords
agent-based model, input-output table, interregional links, transportation costs



References

1. Domozhirov D. A., Ibragimov N. M., Melnikova L. V., Tsyplakov A. A. Integration of Input – Output Approach into Agent-Based Modeling: Methodological Principles. World of Economics and Management, 2017, vol. 17, no. 1, p. 86–99. (In Russ.) 
2. Gamidov T. G., Domozhirov D. A., Ibragimov N. M. Equilibrium States of an Open Interregional System Generated by a Optimization InputOutput Model. Vestnik NSU. Series: Social and Economic Science, 2013. vol. 13, no. 3, p. 81–94. (In Russ.) 
3. Suslov V. I., Domozhirov D. A., Ibragimov N. M., Kostin V. S., Melnikova L. V., Tsyplakov A. A. Agent-Based Modeling Spatial Processes in the Large Economy. Region: ekonomika i sotsiologiya [Region: Economics and Sociology], 2014, no. 4, p. 32–54. (In Russ.) 
4. Suslov V. I., Domozhirov D. A., Ibragimov N. M., Kostin V. S., Melnikova L. V., Tsyplakov A. A. Agent-Based Multiregional Input-Output Model of the Russian Economy. Economics and Mathematical Methods, 2016, vol. 52, no. 1, p. 112–131. (In Russ.) 
5. Suslov V. I., Novikova T. S., Tsyplakov A. A. Simulation of the Role of Government in Spatial AgentBased Model. Ekonomika regiona [Economy of Region], 2016, vol. 12, iss. 3, p. 951–965. (In Russ.) 
6. Assenza T., Delli Gatti D. E pluribus unum: Macroeconomic modelling for multi-agent economies. Journal of Economic Dynamics and Control, 2013, vol. 37, iss. 8, p. 1659–1682. 
7. Holmgren J., Ramstedt L., Davidsson P., Edwards H., Persson J. A. Combining macro-level and agent-based modeling for improved freight transport analysis. Procedia Computer Science, 2014, vol. 32, p. 380–387. 
8. Oliva G., Panzieri S., Setola R. Agent-based input–output interdependency model. International Journal of Critical Infrastructure Protection, 2010, vol. 3, iss. 2, p. 76–82. 
9. Combes P.-P., Mayer T., Thisse J.-F. Economic geography: The integration of regions and nations. Princeton: Princeton University Press, 2008, 416 p. 
10. Acemoglu D., Carvalho V. M., Ozdaglar A., Tahbaz-Salehi A. The network origins of aggregate fluctuations. Econometrica, 2012, vol. 80, p. 1977–2016.