| Title |
Intersectoral technological progress spillover effect measurement using agent-based modelling: case of Lithuanian manufacturing industry / |
| Authors |
Markauskas, Mantas ; Baliute, Asta |
| DOI |
10.24136/eep.abs.2021.1 |
| ISBN |
9788365605382 |
| Full Text |
|
| Is Part of |
11th international conference on applied economics: Contemporary issues in economy, 17-18 June 2021, Poland: abstract book / edited by A. P. Balcerzak, I. Pietryka.. Toruń : Institute of Economic Research, 2021. p. 106.. ISBN 9788365605382 |
| Keywords [eng] |
technological progress ; agent-based modelling ; intersectoral technological progress spillover ; manufacturing industry ; economic development |
| Abstract [eng] |
Research background: There exists various methods for technological progress assessment and evaluation in the context of economic development. Each of the methods possess unique advantages and disadvantages while analyzing technological progress fluctuations. In most neoclassical growth theories technological progress measures are incorporated as exogenous variables, thus excluding evaluation of factors influencing technological progress variation throughout time. Purpose of the article: The aim of this article is to suggest improvements on classical technological progress evaluation methodologies for manufacturing industries, distinguish the effect of intersectoral technological progress spillover effect from internal factors affecting technological progress growth and perform practical case study for Lithuanian manufacturing industry. Methods: In earlier research papers linear time series regression and vector autoregression methods were used to assess technological progress values and form equations explaining influence of different manufacturing level indicators on technological progress growth. This research paper uses results of previously mentioned methods and performs simulation analysis utilizing agent-based modelling framework. Findings & value added: Carried out vector autoregression analysis indicated that two variables, which affect technological progress most significantly, are gross profit value and labor productivity measure. Sensitivity analysis suggests that effect of these two variables on technological progress growth is different. Increase in gross profit value influences technological progress growth for wider range of sectors operating in Lithuanian manufacturing industry (15 out of 18 analyzed sectors’ technological progress values are affected by changes in gross profit, while changes in labor productivity influence technological progress values in case of 9 sectors). Rising gross profit values also generate intersectoral technological progress spillover effect more easily, while growth in labor productivity measure has stronger influence on technological progress fluctuations for sectors which manage to exploit this effect. |
| Published |
Toruń : Institute of Economic Research, 2021 |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2021 |
| CC license |
|
