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Evaluation of dynamics of economic development in Polish and Lithuanian regions

Abstract

Regional policy of the countries – reducing disparities between economic development of the regions – has been, is and will continue to be the focus of policy makers’ attention, therefore it is important to assess regional conditions qualitatively and to spot the differences in the change of these condition. This would be the basis for developing targeted strategies for further regional development. The process of regional economic development may be assessed quantitatively and qualitatively. The integrated mean of the statistical indicators reflects the dynamics of development. The paper’s objective is to develop an aggregate indicator of development dynamics and to quantify the dynamics of the economic development of the Polish and Lithuanian regions. The employed methodological approach is based on the authors’ definition of the mean of regional economic development equilibrium. The analysis of the statistical characteristics of the indicators of three regions of Poland and Lithuania has shown that the dynamics of economic development in the regions of both countries is similar. On the other hand, Poland is characterized by a more intensive development, while the development of Lithuanian regions is more levelled.

Keyword : regions, economic development, gross domestic product per capita, dynamics, Lithuania, Poland

How to Cite
Lisiński, M., Augustinaitis, A., Nazarko, L., & Ratajczak, S. (2020). Evaluation of dynamics of economic development in Polish and Lithuanian regions. Journal of Business Economics and Management, 21(4), 1093-1110. https://doi.org/10.3846/jbem.2020.12671
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Jun 9, 2020
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References

Babu, S., & Datta, S. (2015). Revisiting the link between socio-economic development and environmental status indicators–focus on panel data. Environment Development and Sustainability, 17(3), 567–586. https://doi.org/10.1007/s10668-014-9561-6

Becker, W., Saisana, M., Paruolo, P., & Vandecasteele, I. (2017). Weights and importance in composite indicators: closing the gap. Ecological Indicators, 80, 12–22. https://doi.org/10.1016/j.ecolind.2017.03.056

Boggia, A., & Cortina, C. (2010). Measuring sustainable development using a multi-criteria model: a case study. Journal of Environmental Management, 91, 2301–2306. https://doi.org/10.1016/j.jenvman.2010.06.009

Boggia, A., Rocchi, L., Paolotti, L., Musotti, F., & Greco, S. (2014). Assessing rural sustainable development potentialities using a dominance-based rough set approach. Journal of Environmental Management, 144, 160–167. https://doi.org/10.1016/j.jenvman.2014.05.021

Bolcarova, P., & Kološta, S. (2015). Assessment of sustainable development in the EU 27 using aggregated SD index. Ecological Indicators, 48, 699–705. https://doi.org/10.1016/j.ecolind.2014.09.001

Booysen, F. (2002). An overview and evaluation of composite indices of development. Social Indicators Research, 59, 115–151. https://doi.org/10.1023/A:1016275505152

Chansarn, S. (2013). Assessing the sustainable development of Thailand. Procedia Environmental Sciences, 17, 611–619. https://doi.org/10.1016/j.proenv.2013.02.077

Chodakowska, E., & Nazarko, J. (2017). Environmental DEA method for assessing productivity of European countries. Technological and Economic Development of Economy, 23(4), 589–607. https://doi.org/10.3846/20294913.2016.1272069

Chowdhury, S., & Squire, L. (2006). Setting weights for aggregate indices: an application to the committment to development index and human development index. Journal of Development Studies, 42(5), 761–771. https://doi.org/10.1080/00220380600741904

Compagnolo, L., Carraro, C., Eboli, F., Farnia, L., Parrado, R., & Pierfederici, R. (2018). The ex-ante evaluation of achieving sustainable development goals. Social Indicators Research, 136, 73–116. https://doi.org/10.1007/s11205-017-1572-x

Čiegis, R., Ramanauskienė, J., & Šimanskienė, L. (2010). Lietuvos regionų darnaus vystymosi vertinimas. Klaipėdos universiteto leidykla.

Delai, I., & Takahashi, S. (2011). Sustainability measurement system: a reference model proposal. Social Responsability Journal, 7(3), 438–471. https://doi.org/10.1108/17471111111154563

Gedvilaitė, D. (2019). The assessment of sustainable development of a country’s regions (Doctoral dissertation). Vilnius Gediminas Technical University, Vilnius, Lithuania. http://dspace.vgtu.lt/handle/1/3797

Ginevičius, R., Gedvilaitė, D., & Bruzgė, Š. (2015). Assessment of a country’s regional economic development on the basis of Estimation of a Single Process (ESP) Method. Entrepreneurial Business and Economics Review, 3(2), 141–153. https://doi.org/10.15678/EBER.2015.030210

Ginevičius, R., Gedvilaitė, D., Stasiukynas, A., & Šliogerienė, J. (2018). Quantitative assessment of the dynamic of the economics development of socioeconomic systems based on the MDD method.
Inzinerine Ekonomika-Engineering Economics, 29(3), 531–553. https://doi.org/10.5755/j01.ee.29.3.20444

Godlewska-Majkowska, H., Komor, A., & Typa, M. (2016). Special economic zones as growth and antigrowth poles as exemplified by Polish regions. Entrepreneurial Business and Economics Review, 4(4), 189–212. https://doi.org/10.15678/EBER.2016.040412

Golusin, M., & Munitlak, O. I. (2009). Definition, characteristics and state of the indicators of sustainable development in countries of Southeastern Europe. Agriculture, Ecosystems and Environment, 130, 67–74. http://doi.org/10.1016/j.agee.2008.11.018

Golusin, M., Munitlak, O. I., & Teodorovic, N. (2011). The review of the achieved degree of sustainable development in South Eastern Europe – the use of linear regression method. Renewable and sustainable Energic Reviews, 15, 766–772. https://doi.org/10.1016/j.rser.2010.07.064

Graymore, L. M., Sipe, N. G., & Rickson, R. E. (2010). An index of regional sustainability: A GIS-based multicriteria analysis decision support system for progressing sustainability. Ecological Complexity, 6(4), 453–462. https://doi.org/10.1016/j.ecocom.2009.08.006

Grzebyk, M., & Stec, M. (2015). Sustainable development in EU countries: concept and rating of levels of development. Sustainable Development, 23(2), 110–123. https://doi.org/10.1002/sd.1577

Halicka, K. (2017). Main concepts of technology analysis in the light of the literature on the subject. Procedia Engineering, 182, 291–298. https://doi.org/10.1016/j.proeng.2017.03.196

Hamilton, C. (2007). Measuring sustainable economic welfare. In G. Atkinson & S. Dietzm (Eds.), Handbook of sustainable development. Edward Elgar Publishing. https://doi.org/10.4337/9781847205223.00030

He, J., Wan, Y., Feng, L., Ai, J., & Wang, Y. (2016). An integrated data envelopment analysis and emergybased ecological footprint methodology in evaluating sustainable development, a case study of jiangsu province China. Ecological Indicators, 70, 23–34. https://doi.org/10.1016/j.ecolind.2016.05.042

Hwang, C.-L., & Yoon, K. (1981). Multiple attribute decision making: methods and applications a stateof-the-art survey. Springer. https://doi.org/10.1007/978-3-642-48318-9_3

Yeh, L.-T., & Chang, D.-S. (2020). Using categorical DEA to assess the effect of subsidy policies and technological learning on R&D efficiency of it industry. Technological and Economic Development of Economy, 26(2), 311–330. https://doi.org/10.3846/tede.2019.11411

Ivanovic, O. D. M., Golusin, M. T., Dpplic, S. N., & Doolic, T. J. M. (2009). Perspectives of sustainable development in countries of South Eastern Europe. Renewable and Sustainable Energy Reviews, 13(8), 2074–2087. https://doi.org/10.1016/j.rser.2009.03.004

Janker, J., & Mann, S. (2018). Understanding the social dimension of sustainability in agriculture: a critical review of sustainability assessment tools. Environment, Development and Sustainability, 1–21. https://doi.org/10.1007/s10668-018-0282-0

Kareivaite, R. (2012). Kompleksinis darnaus vystymosi vertinimas taikant daugiakriterius metodus (Doctoral dissertation). Vytautas Magnus University, Kaunas, Lithuania. https://vb.vdu.lt/permalink/f/grg1fq/ELABAETD2014447

Kondyli, J. (2010). Measurement and evaluation of sustainable development – a composite indicator for the Islands of the North Aeglan region, Greece. Environemental Impact Assessment Review, 30, 347–356. https://doi.org/10.1016/j.eiar.2009.08.006

McLaren, D., Bullock, S., & Yousef, N. (1998). Tommorow’s world: Britain’s share in a sustainable future. Earthscan.

Nazarko, J., Ejdys, J., Halicka, K., Nazarko, L., Kononiuk, A., & Olszewska, A. (2017). Structural analysis as an instrument for identification of critical drivers of technology development. Procedia Engineering, 182, 504–509. https://doi.org/10.1016/j.proeng.2017.03.137

Nazarko, L. (2017). Future-oriented technology assessment. Procedia Engineering, 182, 504–509. https://doi.org/10.1016/j.proeng.2017.03.144

Nazarko, L., & Melnikas, B. (2019). Operationalising Responsible Research and Innovation – tools for enterprises. Engineering Management in Production and Services, 11(3), 21–28. https://doi.org/10.2478/emj-2019-0017

Parris, T. M., & Kates, R. W. (2003). Characterizing and measuring sustainable development. Annual Review of Environment and Resources, 28(13), 1–28. https://doi.org/10.1146/annurev.energy.28.050302.105551

Radonovic, M., & Lior, M. (2017). Sustainable economic-environmental planning in South East Europebeyond-GDP and climate change emphases. Sustainable Development, 25, 580–594. https://doi.org/10.1002/sd.1679

Rametsteiner, E., Alkan-Olsson, H. P. J., & Frederiksen, P. (2011). Sustainability indicator developmentscience or political negotiation? Ecological Indicators, 11, 61–70. https://doi.org/10.1016/j.ecolind.2009.06.009

Rees, W. E. (2000). Eco-footprint analysis: merits and brickbats. Ecological Economics, 32(3), 371–374. https://doi.org/10.1016/S0921-8009(99)00157-3

Rogge, N. (2018). Composite indicators as generalizes benefit-of-the-doubt-weighted averages. European Journal of Operational Research, 267(1), 381–392. https://doi.org/10.1016/j.ejor.2017.11.048

Rotmans, J. (2006). Tools for integrated sustainability assessment: a two-track approach. The integrated Assessment Journal, 6(4), 35–57.

Sala, S., Ciuffo, B., & Nijkamp, P. (2015). A systemic framework for sustainability assessment. Ecological Economics, 114, 314–325. https://doi.org/10.1016/j.ecolecon.2015.09.015

Scherp, J. (1994). What does an economist need to know about the environment? (Directorate-General for Economic and Financial Affairs, Economic papers of the European Commision No. 107). Brussels.

Schoenoker, N., Hoekstra, R., & Smits, J. (2015). Comparison of measurement systems for sustainable development at the national level. Sustainable Development, 23, 285–300. https://doi.org/10.1002/sd.1585

Soava, G., Mehedintu, A., & Sterpu, M. (2020). Relations between income inequality, economic growth and poverty threshold: new evidences from EU countries panels. Technological and Economic Development of Economy, 26(2), 290–310. https://doi.org/10.3846/tede.2019.11335

Spangenberg, J. H. (2002). Institutional sustainability indicators; the analysis of the institutions in Agenda 21 and a draft set of indicators for monitoring their effectivity. Sustainable Development, 10(2), 103–115. https://doi.org/10.1002/sd.184

Statistics Lithuania. (n.d.). https://osp.stat.gov.lt/statistiniu-rodikliu-analize?region=all#/

Statistics Poland. (n.d.). https://stat.gov.pl/en/

Strezov, V., Evens, A., & Evans, T. J. (2017). Assessment of the economic, social and environmental dimensions of the indicators for sustainable development. Sustainable Development, 25(3), 242–253. https://doi.org/10.1002/sd.1649

Touceda, M. Y., Neila, F., J., & Degrez, M. (2018). Modeling socioeconomic pathways to assess sustainability: a tailored development for housing retrofit. The International Journal of Life Cycle Assessment, 23(3), 710–725. https://doi.org/10.1007/s11367-016-1194-6

Turcu, C. (2013). Re-thinking sustainability indicators: local perspectives of urban sustainability. Journal of Environmental Planning and Management, 56(5), 695–719. https://doi.org/10.1080/09640568.2012.698984

Turovets, Y., & Vishnevskiy, K. (2019). Patterns of digitalisation in machinery-building industries: evidence from Russia. Engineering Management in Production and Services, 11(4), 7–22. https://doi.org/10.2478/emj-2019-0029

Verbunt, P., & Rogge, N. (2018). Geometric composite indicators with compromise Benefit-of-theDoubt Weights. European Journal of Operational Research, 264, 388–401. https://doi.org/10.1016/j.ejor.2017.06.061

Volkov, A. (2018). Assessment of the impact of the common agricultural policy direct payments system on agricultural sustainability (Doctoral Dissertation). Vilnius Gediminas Technical University, Vilnius, Lithuania.

Wackernagel, M., & Rees, W. E. (1996). Ecological footprints and appropriated carrying capacity: measuring the natural capital requirements of the human economy. Focus, 6(1).

Wallis, A. M., Graymore, L. M., & Richards, A. J. (2011). Significance of environment in the assessment of sustainable development: the case of south west Victoria. Ecological Economics, 70(4), 545–605. https://doi.org/10.1016/j.ecolecon.2010.11.010

Wang, J., Wei, X., & Guo, Q. (2018). A three-dimensional evaluations for regional carrying capacity of ecological environment to social economic development: model development and a case study in China. Ecological Indicators, 89, 348–355. https://doi.org/10.1016/j.ecolind.2018.02.005

Xavier, A., Costa Freitus, M. D. B., Fragoso, R., & Rosário, M. D. S. (2018). A regional composite indicator for analysing agricultural sustainability in Portugal: a goal programming approach. Ecological Indicators, 89, 84–100. https://doi.org/10.1016/j.ecolind.2018.01.048

Zhou, P., Ang, B. W., & Zhou, D. Q. (2010). Weighting and aggregation in composite indicator construction: a multiplicative approach. Social Indicators Research, 96(1), 169–181. https://doi.org/10.1007/s11205-009-9472-3

Zinatiradeh, S., Azmi, A., Monavari, S. M., & Sobhanazdakani, S. (2017). Evaluation and prediction of sustainaility of urban areas: a case study for Kermanshahsity, Iran. Cities, 66, 1–9. https://doi.org/10.1016/j.cities.2017.03.002