The spread of the regional intellectual capital: the case of the Russian Federation

Authors

DOI:

https://doi.org/10.24136/oc.2019.005

Keywords:

regional intellectual capital, percolation, propagation

Abstract

Research background: The positive relationship between the availability of intellectual capital and the ability of the state, region or firm to develop economically stimulates an increase in the intellectual capital. In order to manage intellectual capital, it is necessary to have a clear idea of its availability, capacity, features, growth reserves, as well as concentration in certain territories and ability to spread. Many studies are devoted to the measurement of intellectual capital, its diffusion and impact on the economic efficiency of the organization, region, and nation. However, in the case of the Russian Federation there is a gap in the study of the spread of intellectual capital over the country.

Purpose of the article: The purpose of the article is to evaluate intellectual capital in the federal districts of the Russian Federation and to model the spread of intellectual capital.

Methods: Data on 8 Russian federal districts for the 2017 year from Unified Inter-departmental Information and Statistical System (EMISS) of the Russian Federation were taken as a basis for the research. Based on three-component model (human capital, structural capital, and relational capital), we formed a set of indicators for assessing regional intellectual capital, relevant to the Russian Federation. This allowed us to evaluate the integrated indicators of intellectual capital in federal districts and to determine the probability of intellectual capital spreading from each federal district to neighboring federal districts. We used percolation theory methods to model the spread of intellectual capital.

Findings & Value added: The study contributes to the Russian regional knowledge on intellectual capital. Intellectual capital in the Russian Federation is disproportionately distributed, concentrating closer to the capital, and has a lower level in remote territories. It spreads unevenly, flowing from the Central Federal District to neighboring federal districts, however, other federal districts develop almost in isolation.

Downloads

Download data is not yet available.

References

Acemoglu, D., Makhdoumi, A., Malekian, A., & Ozdaglar, A. (2017). Privacy-constrained network formation. Games and Economic Behavior, 105(C). doi: 10.1016/j.geb.2017.08.001.

DOI: https://doi.org/10.1016/j.geb.2017.08.001
View in Google Scholar

Amini, H., Cont, R., & Minca, A. (2016). Resilience to contagion in financial networks. Mathematical Finance, 26(2). doi: 10.1111/mafi.12051.

DOI: https://doi.org/10.1111/mafi.12051
View in Google Scholar

Andrei, D., & Cujean, J. (2017). Information percolation, momentum and reversal. Journal of Financial Economics, 123(3). doi: 10.1016/j.jfineco.2016.05.012.

DOI: https://doi.org/10.1016/j.jfineco.2016.05.012
View in Google Scholar

Asparouhova, E., & Bossaerts, P. (2017). Experiments on percolation of information in dark markets. Economic Journal, 127(605). doi: 10.1111 /ecoj.12464.

DOI: https://doi.org/10.1111/ecoj.12464
View in Google Scholar

Autant-Bernard, C., Fadairo, M., & Massard, N. (2013). Knowledge diffusion and innovation policies within the European regions: challenges based on recent empirical evidence. Research Policy, 42(1). doi: 10.1016/j.respol.2012.07.009.

DOI: https://doi.org/10.1016/j.respol.2012.07.009
View in Google Scholar

Autant‐Bernard, C., Mairesse, J., & Massard, N. (2007). Spatial knowledge diffusion through collaborative networks. Papers in Regional Science, 86(3). doi: 10.1111/j.1435-5957.2007.00134.x.

DOI: https://doi.org/10.1111/j.1435-5957.2007.00134.x
View in Google Scholar

Bottazzi, L., & Peri, G. (2003). Innovation and spillovers in regions: evidence from European patent data. European economic review, 47(4). doi: 10.1016/S0014-2921(02)00307-0.

DOI: https://doi.org/10.1016/S0014-2921(02)00307-0
View in Google Scholar

Bretschger, L. (1999). Knowledge diffusion and the development of regions. Annals of Regional Science, 33(3). doi: 10.1007/s001680050104.

DOI: https://doi.org/10.1007/s001680050104
View in Google Scholar

Broadbent, S. R., & Hammerslay, J. M. (1957), Percolation process. I. Crystals and mazes. Mathematical Proceedings of the Cambridge Philosophical Society, 53(3).

DOI: https://doi.org/10.1017/S0305004100032680
View in Google Scholar

Buenechea-Elberdin, M. (2017). Structured literature review about intellectual capital and innovation. Journal of Intellectual Capital, 18(2). doi: 10.1108/jic-07-2016-0069.

DOI: https://doi.org/10.1108/JIC-07-2016-0069
View in Google Scholar

Caragliu, A., & Nijkamp, P. (2016). Space and knowledge spillovers in European regions: the impact of different forms of proximity on spatial knowledge diffusion. Journal of Economic Geography, 16(3). doi: 10.1093/jeg/lbv042.

DOI: https://doi.org/10.1093/jeg/lbv042
View in Google Scholar

Cassi, L., Corrocher, N., Malerba, F., & Vonortas, N. (2008). The impact of EU-funded research networks on knowledge diffusion at the regional level. Research Evaluation, 17(4). doi: 10.3152/095820208x364535.

DOI: https://doi.org/10.3152/095820208X364535
View in Google Scholar

Demigha, S. (2015). Knowledge management and intellectual capital in an enterprise information system. In M. Massaro & A. Garlatti (Eds.). Proceedings of the 16th European conference on knowledge management. Reading: Academic Conferences Limited.
View in Google Scholar

Dettori, B., Marrocu, E., & Paci, R. (2012). Total factor productivity, intangible assets and spatial dependence in the European regions. Regional Studies, 46(10). doi: 10.1080/00343404.2010.529288.

DOI: https://doi.org/10.1080/00343404.2010.529288
View in Google Scholar

Duffie, D., Malamud, S., & Manso, G. (2014). Information percolation in segmented markets. Journal of Economic Theory, 153(C). doi: 10.1016/j.jet. 2014.05.006.

DOI: https://doi.org/10.1016/j.jet.2014.05.006
View in Google Scholar

Duffie, D., & Manso, G. (2007). Information percolation in large markets. American Economic Review, 97(2). doi: 10.1257/aer.97.2.203.

DOI: https://doi.org/10.1257/aer.97.2.203
View in Google Scholar

EMISS (2018). State Statistics. Retrieved form: http://fedstat.ru/ (01.10.2018).
View in Google Scholar

Golichenko, O. G., & Malkova, A. A. (2017). The analysis of processes of new knowledge production in key world regions and Russia. Journal of the Knowledge Economy, 8(4). doi: 10.1007/s13132-016-0424-2.

DOI: https://doi.org/10.1007/s13132-016-0424-2
View in Google Scholar

Golichenko, O., & Samovoleva, S. (2015). The balance of externalities and internal effects in national innovation systems. In 10th European conference on innovation and entrepreneurship (ECIE). Reading: Academic Conferences Limited.
View in Google Scholar

Gunther, J., & Meissner, D. (2017). Clusters as innovative melting pots? – the meaning of cluster management for knowledge diffusion in clusters. Journal of the Knowledge Economy, 8(2). doi: 10.1007/s13132-017-0467-z.

DOI: https://doi.org/10.1007/s13132-017-0467-z
View in Google Scholar

Hohnisch, M., Pittnauer, S., & Stauffer, D. (2008). A percolation-based model explaining delayed takeoff in new-product diffusion. Industrial and Corporate Change, 17(5). doi: 10.1093/icc/dtn031.

DOI: https://doi.org/10.1093/icc/dtn031
View in Google Scholar

Kaneva, M., & Untura, G. (2017). Innovation indicators and regional growth in Russia. Economic change and restructuring, 50(2). doi: 10.1007/s10644-016-9184-z.

DOI: https://doi.org/10.1007/s10644-016-9184-z
View in Google Scholar

Kireeva, V., & Galiakhmetov, L. (2015). The assessment of the intellectual capital as a factor of investment attractiveness of the region. Procedia Economics and Finance, 27. doi: 10.1016/s2212-5671(15)00997-1.

DOI: https://doi.org/10.1016/S2212-5671(15)00997-1
View in Google Scholar

Kotenkova, S., & Korablev, M. (2014). Evaluation of intellectual capital in regions of Volga Federal District of Russian Federation. Procedia Economics and Finance, 14. doi: 10.1016/s2212-5671(14)00722-9.

DOI: https://doi.org/10.1016/S2212-5671(14)00722-9
View in Google Scholar

Lopes, I. T. (2014). The drivers of intellectual capital in an agriculture, cattle and forest farmstead. In D. Caganova & M. Cambal (Eds.). Proceedings of the 6th European conference on intellectual capital. Reading: Academic Conferences Limited.

DOI: https://doi.org/10.1504/IJIRD.2014.066585
View in Google Scholar

Matricano, D. (2016). The impact of intellectual capital on start-up expectations. Journal of Intellectual Capital, 17(4). doi: 10.1108/jic-04-2016-0040.

DOI: https://doi.org/10.1108/JIC-04-2016-0040
View in Google Scholar

Medina, A. J. S., Gonzalez, A. M., & Falcon, J. M. G. (2007). Intellectual capital and sustainable development on islands: an application to the case of Gran Canaria. Regional Studies, 41(4). doi: 10.1080/00343400600928327.

DOI: https://doi.org/10.1080/00343400600928327
View in Google Scholar

Miguelez, E., & Moreno, R. (2013). Do labour mobility and technological collaborations foster geographical knowledge diffusion? The case of European regions. Growth and Change, 44(2). doi: 10.1111/grow.12008.

DOI: https://doi.org/10.1111/grow.12008
View in Google Scholar

Nitkiewicz, T., Pachura, P., & Reid, N. (2014). An appraisal of regional intellectual capital performance using Data Envelopment Analysis. Applied Geography, 53. doi: 10.1016/j.apgeog.2014.06.011.

DOI: https://doi.org/10.1016/j.apgeog.2014.06.011
View in Google Scholar

Pedro, E., Leitao, J., & Alves, H. (2018). Intellectual capital and performance: taxonomy of components and multi-dimensional analysis axes. Journal of Intellectual Capital, 19(2). doi: 10.1108/jic-11-2016-0118.

DOI: https://doi.org/10.1108/JIC-11-2016-0118
View in Google Scholar

Population of the Russian Federation by sex and age (2018). Federal State Statistics Service. Retrieved form: http://www.gks.ru/wps/wcm/connect /rosstat_main/rosstat/ru/statistics/publications/catalog/doc_1140095700094 (01.10.2018).
View in Google Scholar

Silverberg, G., & Verspagen, B. (2005). A percolation model of innovation in complex technology spaces. Journal of Economic Dynamics & Control, 29(1-2). doi: 10.1016/j.jedc.2003.05.005.

DOI: https://doi.org/10.1016/j.jedc.2003.05.005
View in Google Scholar

Singh, J. (2005). Collaborative networks as determinants of knowledge diffusion patterns. Management science, 51(5). doi: 10.1287/mnsc.1040.0349.

DOI: https://doi.org/10.1287/mnsc.1040.0349
View in Google Scholar

Stam, C., & Andriessen, D. (2009). Intellectual capital of the European Union 2008. In Proceedings of the European conference on intellectual capital. Reading: Academic Conferences Limited.
View in Google Scholar

Stewart, T. A. (1997). Brain power – who owns it ... how they profit from it. Fortune, 135(5).
View in Google Scholar

Trequattrini, R., Lombardi, R., Lardo, A., & Cuozzo, B. (2018). The impact of entrepreneurial universities on regional growth: a local intellectual capital perspective. Journal of the Knowledge Economy, 9(1). doi: 10.1007/s13132-015-0334-8.

DOI: https://doi.org/10.1007/s13132-015-0334-8
View in Google Scholar

Tsertseil, J. & Ordov, K. (2017). The role of Intellectual capital in the development of the regional cluster. International Journal of Organizational Leadership, 6(3), 416-424. doi: 10.19236/ijol.2017.03.09.

DOI: https://doi.org/10.33844/ijol.2017.60420
View in Google Scholar

Wee, J. C. N., & Chua, A. Y. K. (2016). The communication of intellectual capital: the “whys” and “whats”. Journal of Intellectual Capital, 17(3). doi: 10.1108/jic-01-2016-0007.

DOI: https://doi.org/10.1108/JIC-01-2016-0007
View in Google Scholar

Ziff R.M. (1986), Test of scaling exponents for percolation-cluster perimeters. Physical review letters, 56(6).

DOI: https://doi.org/10.1103/PhysRevLett.56.545
View in Google Scholar

Downloads

Published

2019-03-31

How to Cite

Markhaichuk, M., & Zhuckovskaya, I. (2019). The spread of the regional intellectual capital: the case of the Russian Federation. Oeconomia Copernicana, 10(1), 89–111. https://doi.org/10.24136/oc.2019.005

Issue

Section

Articles