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Quantifying the Economic Development Dynamics of a Country Based on the Lorenz Curve

Ginevičius, Romualdas

Abstract

The welfare of a country depends on its economic development. In order to have the impact on it, we should have a possibility to quantitatively assess its situation at the desired point in time. Economic development, as a multifaceted and complex phenomenon, is reflected in two dimensions – intensity and uniformity. These mentioned above can be viewed as partial indicators of dynamics. Two main approaches to measuring development uniformity can be distinguished. In one of the cases, it is measured on the basis of an index that includes the main results of the country's economic development. In the other case, the values of the indicators reflecting all the essential development actions are combined in one appropriate way. From a scientific point of view, the second approach is more accurate as it allows for a better assessment of the complex nature of a country’s economic development. On the other hand, its application today is still problematic due to the fact that the models for this differ in terms of both the number and composition of indicators. For this reason, it is not possible to compare countries. Therefore, in international practice, the economic development of countries is measured by gross domestic product per capita (GDP). Based on GDP indicator, the method for the measurement of uniformity is proposed and the essence of which is the ratio of the length of the ideal trajectory of the development during the period under review to the length of the actual trajectory. Without ruling out the appropriateness of such an approach for assessing development uniformity, it makes sense to look for alternative methods. In this sense, methods that allow assessment of the extent of fluctuations of the phenomenon under consideration as an essential feature of development dynamics are suitable. These include the Gini coefficient, which is determined from the Lorenz curve.

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55 1, XXIV, 2021 Economics DOI: 10.15240/ ul/001/2021-1-004 QUANTIFYING THE ECONOMIC DEVELOPMENT DYNAMICS OF A COUNTRY BASED ON THE LORENZ CURVE Romualdas Gine ičius1, Joanicjusz Naza ko2, Daino a Ged ilai ė3, Zdzisława Dacko-Pikiewicz4 1 Vilnius Gediminas Technical Uni e si y, Facul y o Business Managemen , Ins i u e o Dynamic Managemen , Li huania, ORCID: 0000-0003-2067-4398, [email p o ec ed]; 2 Bialys ok Uni e si y o Technology, Facul y o Enginee ing Managemen , Poland, ORCID: 0000-0002-0236-2334, [email p o ec ed]; 3 Vilniaus Kolegija/Uni e si y o Applied Sciences, Facul y o Economics, Depa men o Finance, Li huania, ORCID: 000-0001-5813-0607, [email p o ec ed]; 4 WSB Uni e si y, Facul y o Applied Sciences, Poland, ORCID: 0000-0003-4542-5574, [email p o ec ed]. Abs ac : The wel a e o a coun y depends on i s economic de elopmen . In o de o ha e he impac on i , we should ha e a possibili y o quan i a i ely assess i s si ua ion a he desi ed poin in ime. Economic de elopmen , as a mul i ace ed and complex phenomenon, is e lec ed in wo dimensions – in ensi y and uni o mi y. These men ioned abo e can be iewed as pa ial indica o s o dynamics. Two main app oaches o measu ing de elopmen uni o mi y can be dis inguished. In one o he cases, i is measu ed on he basis o an index ha includes he main esul s o he coun y’s economic de elopmen . In he o he case, he alues o he indica o s e lec ing all he essen ial de elopmen ac ions a e combined in one app op ia e way. F om a scien i ic poin o iew, he second app oach is mo e accu a e as i allows o a be e assessmen o he complex na u e o a coun y’s economic de elopmen . On he o he hand, i s applica ion oday is s ill p oblema ic due o he ac ha he models o his di e in e ms o bo h he numbe and composi ion o indica o s. Fo his eason, i is no possible o compa e coun ies. The e o e, in in e na ional p ac ice, he economic de elopmen o coun ies is measu ed by g oss domes ic p oduc pe capi a (GDP). Based on GDP indica o , he me hod o he measu emen o uni o mi y is p oposed and he essence o which is he a io o he leng h o he ideal ajec o y o he de elopmen du ing he pe iod unde e iew o he leng h o he ac ual ajec o y. Wi hou uling ou he app op ia eness o such an app oach o assessing de elopmen uni o mi y, i makes sense o look o al e na i e me hods. In his sense, me hods ha allow assessmen o he ex en o luc ua ions o he phenomenon unde conside a ion as an essen ial ea u e o de elopmen dynamics a e sui able. These include he Gini coe icien , which is de e mined om he Lo enz cu e. Keywo ds: Coun y economic de elopmen , quan i ica ion o dynamics o economic de elopmen , Gini coe icien , Lo enz cu e. JEL Classi ica ion: O1, O11. APA S yle Ci a ion: Gine ičius, R., Naza ko, J., Ged ilai ė, D., & Dacko-Pikiewicz, Z. (2020). Quan i ying he Economic De elopmen Dynamics o a Coun y Based on he Lo enz Cu e. E&M Economics and Managemen , 24(1), 55–65. h ps://doi.o g/10.15240/ ul/001/2021-1-004 In oduc ion Today ma ke playe s a all le els, om business ope a o s o coun ies, s i e o be compe i i e. This aspi a ion is no passi e, and is no only abou main aining cu en posi ions. As a esul o he global economic de elopmen o he wo ld, he g ow h o global ma ke s o ces pa icula coun ies o inc ease he economic scale o he economic g ow h, o he wise hey will lose hei posi ions. The pu sui o 56 2021, XXIV, 1 Economics an inc easing sha e o in e na ional ma ke s becomes he basis o a coun y’s compe i i e capaci y. Only by keeping pace wi h he g ow h o he single ma ke wa an y ha hey emain compe i i e. The e o e, de elopmen becomes a hallma k o compe i i eness. In his con ex , i is impo an o bo h science and p ac ice o ully analyse he phenomenon o economic de elopmen . The de elopmen o any p ocess can be cha ac e ized by wo cha ac e is ics – i s in ensi y and i s uni o mi y (Gine ičius e al., 2018). In ensi y o de elopmen is he a e o de elopmen g ow h o e he pe iod conside ed, exp essed, o example, in yea s. S eady de elopmen eads as luc ua ions in he ex en o de elopmen o e he ime pe iods conside ed. These wo dimensions can be seen as sub-indica o s o he o e all de elopmen p ocess. The i s indica o e lec s upon he quan i a i e side o he de elopmen p ocess, and he second indica o s e lec s upon he quali a i e side. The de elopmen p ocess as a whole is e lec ed by i s dynamics, which combines bo h o he abo e men ioned indica o s. I shows he ex en and ype o de elopmen changes ha ha e aken place o e he pe iod unde e iew. The essence o dynamics as a phenomenon is exp essed by he ollowing synonyms o his e m in in e na ional dic iona ies: sus ainable, s eady, esilien , s able, immo able, solid, immu able, du able, pe manen , se led, long-las ing, e en, e c. This abundance o unde s anding o dynamics is in eg a ed by he wo dimensions men ioned abo e – de elopmen in ensi y and de elopmen con inui y. In he scien i ic li e a u e a emp s o quan i y his phenomenon can be me (Gine ičius e al., 2018). Based on he me hodology p esen ed in his s udy, he dynamics o economic de elopmen in some EU coun ies we e de e mined. This me hodology, which is e e ed o as he MDD me hod, p o ides o he in eg a ion o uni o mi y indica o o he de elopmen wi h i s in ensi y indica o . Uni o mi y is de ined as he a io o he alue o he pe iod unde conside a ion o he o al leng h o he ac ual de elopmen ajec o y: (1) whe e DT is he indica o o economic de elopmen T o e he pe iod unde conside a ion, N is he du a ion o he pe iod unde conside a ion e.g. yea s; pi is he change in de elopmen o e he ime pe iod i (yea ) o he ime span unde e iew; n is he numbe o ime pe iods (i = 1, n) o he pe iod unde conside a ion T. The in ensi y o he de elopmen shall be de e mined as ollows: (2) whe e Kp T is he in ensi y indica o o he coun y’s economic de elopmen o e he pe iod T unde conside a ion; Q T is he signi icance o economic de elopmen a he end o pe iod T, Qb T is he signi icance o economic de elopmen a beginning o pe iod T. The p ocess o economic de elopmen o socio-economic sys ems (SES) is a he mul i- ace ed, complex and ambiguous, and i makes sense o look o o he ways o quan i y i s dynamics. 1. Possibili ies o Quan i ying Sus ainabili yo Coun y’s EconomicDe elopmen The challenge posed – o quan i y he dynamics o he coun y’s economic de elopmen – equi es wo ques ions o be answe ed. Fi s , which p incipled models a e sui able o quan i ying he in ensi y and con inui y o he SES de elopmen p ocess; secondly, wha indica o o indica o s can be used o measu e hese sub-indica o s. The measu e o he in ensi y o economic de elopmen o a coun y can be aken as he alue exp essed by o mula (2). The de elopmen consis ency indica o can be o mula ed wi h he ollowing equi emen s: i mus be easy o unde s and, he in o ma ion needed o he calcula ions mus be easily accessible, and, mos impo an ly, i mus allow compa isons be ween en i ies a any le el: economy o coun ies, egions, coun ies as a whole, g oup o coun ies, e c. The economic de elopmen o he coun ies will be used o es he adequacy o he homogenei y indica o p oposed in his s udy. The analysis o li e a u e sou ces ha examine, measu e and compa e his phenomenon highligh s wo p incipal possibili ies. In one 57 1, XXIV, 2021 Economics case i e e s o GDP pe capi a in a e i o ial uni . I is conside ed o be a eliable indica o o success, e lec ing upon he le el o economic de elopmen achie ed in he coun y (Cha san, 2013; Čiegis e al., 2010; Bolcá o á & Kološ a, 2015; Babu & Da a, 2015). O he wise, he economic de elopmen o he analyzed objec s, usually coun ies, o hei egions, is e alua ed elying upon one agg ega e alue combining a la ge numbe o pa ial indica o s, which in he au ho s’ opinion e lec upon he essen ial aspec s o economic de elopmen . Recen ly, hese me hods ha e been inc easingly used o quan i y phenomena o all kinds. Impo ance o indica o s a ailable on an equal basis o de e mined by pee e iew (Song e al., 2017; Tu skis, 2018; Tu skis e al., 2017; Boggia & Co ina, 2010; P asce ic & P asce ic, 2017). We may conside ha mul i-c i e ia assessmen o economic de elopmen is mo e accu a e compa ed o GDP pe capi a, because enla gemen i sel is a complex p ocess ha mani es s i sel in many aspec s. Fo malizing hem and exp essing hem as indica o s allows a mo e complex e alua ion o he phenomenon unde conside a ion. On he o he hand, he possibili ies o applying his p omising me hod, o example o compa ing coun ies, a e limi ed by he a ie y o indica o s ha a e included in he e alua ion model and hei composi ion. The numbe o such indica o s a ies om se e al o se e al dozen in indi idual cases (Gine ičius e al., 2018; Čiegis e al., 2010). E en when a model is composed o a small numbe o indica o s, hei composi ion is usually di e en . This depends on a numbe o ci cums ances: wha aspec s o he phenomenon in ques ion a e dis inguished by he au ho s; o om access o in o ma ion needed o calcula e alues o an indica o , e c. These ci cums ances make i di icul o use he esul s o he mul i-c i e ia assessmen o economic de elopmen o compa ing coun ies. Meanwhile, in e na ional da abases and s a is ical yea books o coun ies p o ide all he necessa y in o ma ion on hei economic de elopmen on he basis o pe capi a GDP. The e o e, his s udy will be based on his indica o ( u he – GDP). Two di e en coun ies, Swi ze land and I aly, ha e been selec ed o illus a e he p oposed me hodology. Swi ze land has expe ienced a s eady g ow h o GDP pe capi a o e he pe iod unde e iew. On he o he hand, his p ocess is accompanied by qui e no iceable luc ua ions in indi idual ime pe iods (yea s) o he pe iod unde conside a ion. In I aly, du ing he pe iod unde e iew, he a e o economic de elopmen has ha dly inc eased, bu he e is no ma ked luc ua ion ei he (Tab. 1, Fig. 1). To quan i y he con inui y o he SES de elopmen p ocess me hods based on dynamic analysis o p ocesses can be used, which means ha hey can assess he magni ude o he luc ua ion o he phenomenon unde conside a ion, he essen ial a ibu e o dynamics, and ha allow o be in e p e ed. To he me hods o his kind we may asc ibe coe icien s used o analyze he con inui y o economic and social p ocesses. Fi s and o emos , hese would be he me hods o assessmen o inequali ies in income and economy (Amin, 2006; A kinson e al., 2002; Čiule ičienė e al., 2006a, b; Čiule ičius & Čiule ičienė, 2008; Ib agimo e al., 2018; Kawachi & Kennedy, 1999; Kawachi e al., 1999; Ku owska-Pysz e al., 2018). Alongside he s uc u al coe icien s, some special indica o s a e needed o assess he economic and social inequali y o he popula ion (Čiule ičienė, 2006a; Lazu ka, 2002). The mos commonly used is he Gini coe icien (index). The a io a ies om 0 o 1 o om 0 o 100 pe cen . The la ge i is, he g ea e is he inequali y. This indica o is widely used in in e na ional compa isons. The Gini coe icien is de e mined om he Lo enz cu e (Dagum, 1980; G usky, 2001; Rudzkienė, 2005; Coun y Yea s 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 I aly 27.6 26.4 26.8 27.3 26.7 26.5 26.7 27.2 27.9 28.5 Swi ze land 49.3 50.2 56.1 63.7 65.0 64.1 65.3 74.0 72.4 72.6 Sou ce: www.eu os a .com Tab. 1: G oss domes ic p oduc (GDP) pe capi a in EUR 58 2021, XXIV, 1 Economics B a čiko ienė & De eiky ė, 2006; Jann, 2016). The idea o his cu e is ha , i i is possible o de e mine he o al inequali y o he indica o unde conside a ion, he e comes he oppo uni y o analyze he na u e o i s dis ibu ion be ween he indi idual ime spans o he pe iod unde conside a ion. Fo example, o depic g aphically he dis ibu ion o households by income, hey a e a anged in ascending o de on he axis X o he o dina e sys em, indica ing he pe cen age o he popula ion (households); meanwhile depic ing he de e ed pe cen age o hei income in axis Y (Fig. 2). The na u e o he Lo enz cu e and he Fig. 1: GDP pe capi a o he coun ies conce ned Sou ce: own based on www.eu os a .com Fig. 2: Lo enz cu e Sou ce: own based on www.eu os a .com 59 1, XXIV, 2021 Economics o de in which i is cons uc ed allow i o be applied o assess he homogenei y o he coun y’s economic de elopmen . I s o de would be as ollows. Fi s , le us d aw a squa e wi h sides 100×100 and i s diagonal. The cumula i e alues o he economic de elopmen du ing he ime spans o he pe iod unde e iew, exp essed as a pe cen age, a e plo ed on he abscissa axis, and he pe cen age o he ac ual de elopmen o he ime pe iods a e plo ed on he o dina e axis. The in e sec ion o each o hese deciles will gi e a pa icula poin . Connec ing he poin s in a s aigh line gi es a Lo enz cu e. I e lec s upon he ac ual cou se o he p ocess o economic de elopmen o e he pe iod unde conside a ion, and he diagonal o he squa e ep esen s i s ideal de elopmen . The Lo enz cu e is e y widely applied in ma hema ics, especially in economic s a is ics. I is sui able o examining he inequali ies o a wide a ie y o phenomena ep esen ed by in e al lines. I s deg ee is ep esen ed by he con exi y o he cu e, e.g. he dis ance om he diagonal o he squa e; he s eepe he magni ude cu e is, he lesse he dis ance om he cu e i shows; he less i is dis an om he diagonal, he lesse he di e si ica ion o he dis ibu ion is, and ice e sa, as he cu e mo es away om he diagonal, he dis ibu ion i egula i y inc eases. The Gini coe icien (Dagum, 1980; Gu sky, 2001; Rudzkienė, 2005) is used o es ima e quan i a i e dis ibu ion compa isons based on Lo enz cu e. I is de e mined as ollows (Fig. 2): (3) The smalle he dis ibu ion i egula i y is, which means he close he cu e is o he diagonal o he squa e, he lowe he alue o he ac o G we see. I we equa e he a ea S1 + S2 o S, hen om Fig. 2. ollows ha S1 = S – S2. Then (4) In ou case, when he case o quan i ying he dynamics o SES economic de elopmen is unde e iew, he smalle he a ia ion in de elopmen and he close he Lo enz cu e app oaches he squa e o he squa e, he mo e e en he expansion is, so he Gini coe icien mus be ans o med in his way. (5) He e TG is he coe icien desc ibing he con inui y o SES economic de elopmen . Fig. 1 and o mulas (4) and (5) show ha in ideal case o de elopmen , S1 = 0, and TG = 1.0. Quan i a i e assessmen o he economic de elopmen dynamics o he coun ies conce ned was ca ied ou on he basis o he abo e me hodology. 2. Quan i yingEconomic De elopmen Dynamics in Coun ies As s a ed abo e, we quan i y he dynamics o he coun y’s economic de elopmen on he basis o pe capi a GDP. I s luc ua ions in he pa icula ime spans o he pe iod unde conside a ion may be e y une en (Tab. 1, Fig. 1). The same ep esen a i e coun ies – I aly and Swi ze land – a e aken o he calcula ions. F om Fig. 1 i is seen ha Swi ze land is unde going in ense de elopmen , whe eas I aly is expe iencing s agna ion in i s de elopmen . On he o he hand, in I aly, de elopmen is s able, wi h no majo luc ua ions, while in Swi ze land, luc ua ions a e signi ican ly highe . The e o e, i can be assumed ha he e is a ela ionship be ween de elopmen in ensi y and sus ainabili y, which means ha he in ensi y in luences he uni o mi y. F om a me hodological poin o iew, i would be ad an ageous o elimina e he in luence o in ensi y om he indica o o sus ainable de elopmen and o e alua e i la e , when a complex sus ainable de elopmen indica o is c ea ed. O he wise, he low le el o de elopmen may be o se by i s high in ensi y and esul in an inadequa e pic u e. The di e en economic de elopmen si ua ions o he coun ies in Fig. 1 need o be quan i ied. To ha end, i is i s o all necessa y o de e mine he de elopmen si ua ion in ela ion o which he ac ual si ua ion will be assessed. In o he wo ds, we need o ha e a benchma k o de elopmen con inui y o an ideal de elopmen case. This can be said o be he case when he 60 2021, XXIV, 1 Economics SES de elopmen inc emen o e he same pe iod o ime, such as he yea , is he same. In his case, he de elopmen ajec o y will coincide wi h he diagonal o he squa e (Fig. 1), and he de elopmen i sel will look like his (Fig. 3). F om Fig. 3 i can be seen ha he Fig. 3: Ideal case o SES dynamics o de elopmen Sou ce: own Fig. 4: Changes in de elopmen o e ime span i; i, i + 1 o he pe iod unde e iew Sou ce: own based on Gine ičius e al., 2018 61 1, XXIV, 2021 Economics uni o mi y o SES de elopmen uns ideally ∆qi = ∆qi + 1 (whe e ∆qi is he inc ease in de elopmen o he ime pe iod i). In eal li e we usually see a si ua ion whe e ∆qi≠∆qi + 1, which means we see g ea e o lesse luc ua ions in de elopmen o e pa icula ime pe iods o he pe iod unde e iew. In his case, he uni o mi y o de elopmen can be quan i ied based on he de elopmen al di e ences o hese pe iods ∆∆q=qi – qi + 1 (Fig. 4). We exp ess he a ia ions in he economic de elopmen o he coun ies shown in Fig. 1 by he Lo enz cu e. Fo his pu pose, we will use Tab. 1 o calcula e he absolu e magni udes o de elopmen di e ences be ween adjacen ime pe iods (Tab. 2). We will p esen he di e ences in Tab. 2 in ascending o de . Such a p ocedu e is possible because i will no a ec he a ea S2 o he Lo enz cu e S2, and he a ea S1 (Tab. 3). Based on Tab. 3, we de e mine he ela i e weigh o he di e ences as a pe cen age (Tab. 4). Coun y Yea s 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 I aly 0.2 1.2 0.4 0.5 0.6 0.2 0.2 0.5 0.7 0.6 Swi ze land 3.1 0.9 5.9 7.6 1.3 0.9 1.2 8.7 1.6 0.2 Sou ce: own Coun y Yea s To al 12345678910 I aly 0.2 0.2 0.2 0.4 0.5 0.5 0.6 0.6 0.7 1.2 5.1 Swi ze land 0.2 0.9 0.9 1.2 1.3 1.6 3.1 5.9 7.6 8.7 31.4 Sou ce: own Coun y Yea s To al 12345678910 I aly 3.9 3.9 3.9 7.8 9.8 9.8 11.8 11.8 13.8 23.5 100 Swi ze land 0.6 2.9 2.9 3.8 4.1 5.1 9.9 18.8 24.2 27.7 100 Sou ce: own Coun y Yea s 12345678910 I aly 3.9 7.8 11.7 19.5 29.3 39.1 50.9 62.7 76.5 100 Swi ze land 0.6 3.5 6.4 10.2 14.3 19.4 29.3 48.1 72.3 100 Sou ce: own Tab. 2: Di e ences in economic de elopmen o he coun ies conce ned o e he pe iods conside ed Tab. 3: Ascending o de o economic de elopmen di e ences be ween coun ies o he pe iod unde e iew Tab. 4: Compa a i e weigh s o di e ences in economic de elopmen o he coun ies conce ned o e he pe iod o ime in pe cen Tab. 5: Cumula i e alues o compa a i e weigh s o di e ences in economic de elopmen o he coun ies unde e iew o he conside ed pe iod 62 2021, XXIV, 1 Economics Based on Tab. 4, we de e mine he cumula i e alues o he weigh s. Based on Tab. 5, we can d aw he Lo enz cu es o he economic de elopmen o he coun ies unde conside a ion (Fig. 5–6). The ques ion is how o assess he s a e o SES de elopmen con inui y based on hese esul s. The li e a u e p o ides he ollowing Gini coe icien a ing scale (Lando e al., 2018; Lyon e al., 2016) (Tab. 7). Based on Tab. 7 and o mula (2), i is possible o p o ide he ollowing scale o assessing he sus ainabili y o economic de elopmen in a coun y (Tab. 8). Tab. 8 shows ha I aly has a mode a e deg ee o economic de elopmen and Swi ze land a low deg ee o sus ainabili y. The TG ac o o coun ies’ economic de elopmen unde es ima es i s in ensi y. Meanwhile, om Fig. 1. i can be judged o Fig. 5: Lo enz cu e o I alian economic de elopmen Sou ce: own Fig. 6: Lo enz cu e o Swiss economic de elopmen Sou ce: own 63 1, XXIV, 2021 Economics in luence uni o mi y. The in eg a i e size o hese wo aspec s o de elopmen will gi e a snapsho . I can be se up as ollows: (6) whe e is he index o economic de elopmen dynamics o coun y i; Kpi is he a e o economic de elopmen in ensi y o coun y i; and TGi is he coe icien o homogeneous o economic de elopmen o coun y. I is ound ha I aly equals 1.03 and Swi ze land 1.47. On his basis, an in eg al index o hei economic de elopmen dynamics can be calcula ed. I is 0.85 in I aly and 0.87 in Swi ze land. Such esul s o economic de elopmen dynamics o he coun ies a e ecei ed by conside ing ha he uni o mi y and in ensi y o de elopmen a e equally signi ican in e ms o dynamics. The si ua ion would change subs an ially i we conside he impo ance o he pa ial indica o s TG and Kp. I can be assumed ha sho - e m luc ua ions in economic de elopmen o e indi idual ime pe iods (yea s) o he pe iod unde e iew ha e a signi ican ly lesse impac on he s a e o social de elopmen o he coun y compa ed o he in ensi y o de elopmen co e ing he whole pe iod unde e iew. Expe s es ima ed he impo ance o de elopmen in ensi y o i s dynamics a 70 pe cen ou o 100, and luc ua ions in uni o mi y a 30 pe cen . In his case, a gene alized indica o o he dynamics o a coun y’s economic de elopmen can be de e mined by a mul i-c i e ia e alua ion, o example, by he SAW me hod, which is exp essed as ollows (Hwang & Yoon, 1981): (7) he e Di is an index o coun y’s i dynamics o economic g ow h; wi is an impo ance o coun yʼs index o dynamics o economic g ow h Coun y Coe icien G TG I aly 0.30 0.70 Swi ze land 0.49 0.51 Sou ce: own Gini coe icien alue G Conclusion G < 0.25 Ve y low le el 0.25 ≤ G ≤ 0.35 A e age le el G > 0.35 High le el Sou ce: own Value o coe icien TG Conclusion TG > 0.75 Ve y high deg ee o dynamics o de elopmen 0.75 > TG > 0.65 A e age deg ee o dynamics o de elopmen TG < 0.65 Low deg ee o dynamics o de elopmen Sou ce: own Tab. 6: Resul s o he calcula ion o de elopmen dynamics o he analyzed coun ies o 2008–2012 Tab. 7: G ading o Gini coe icien acco ding o uni o mi y o da a dis ibu ion Tab. 8: Coe icien TG g ada ion by homogenei y