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© Berlin Economics P O L I C Y B R I E F I N G 0 4 | 2 0 2 0 Income distribution and poverty reduction in Georgia A comparative analysis Sebastian Staske, Giorgi Mzhavanadze and Ricardo Giucci Berlin/Tbilisi, April 2020 G E O R G I A In cooperation with

Sebastian Staske, Giorgi Mzhavanadze and Ricardo Giucci€¦ · • In 2018: people below GEL 413 monthly were part of the lowest 20%, those above GEL 1,580 belonged to the richest

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Page 1: Sebastian Staske, Giorgi Mzhavanadze and Ricardo Giucci€¦ · • In 2018: people below GEL 413 monthly were part of the lowest 20%, those above GEL 1,580 belonged to the richest

© Berlin Economics

P O L I C Y B R I E F I N G 0 4 | 2 0 2 0

Income distribution and poverty reduction in GeorgiaA comparative analysis

Sebastian Staske, Giorgi Mzhavanadze and Ricardo Giucci

Berlin/Tbilisi, April 2020

G E O R G I A

In cooperation with

Page 2: Sebastian Staske, Giorgi Mzhavanadze and Ricardo Giucci€¦ · • In 2018: people below GEL 413 monthly were part of the lowest 20%, those above GEL 1,580 belonged to the richest

© Berlin Economics 2

Poverty reduction

Page 3: Sebastian Staske, Giorgi Mzhavanadze and Ricardo Giucci€¦ · • In 2018: people below GEL 413 monthly were part of the lowest 20%, those above GEL 1,580 belonged to the richest

© Berlin Economics

Poverty rate almost halved in 2010-2015; from 31% to 16%

• However, no further reduction from 2016 to 2018

• Poverty reduction strongly related to an increase in average gross national income(GNI)* per day

• Technical remark: World Bank uses three standardised poverty measures(USD 1.90, 3.20 and 5.50 per day), derived from national thresholds and based on income groups

• Our benchmark for GEO: lower middle income (LMI; USD 3.20)

Development of poverty rates in Georgia

3

Source: World Bank; poverty lines and GNI are in const. 2011 international dollars. No data for GNI for 2018.

*Explanation: Gross national income (GNI) is a measure closely related to GDP: GNI = GDP + [money inflow from foreign countries] – [money outflow to foreign countries].

Share of the Georgian population living in poverty%

14

16

18

20

22

24

26

28

0

10

20

30

40

50

60

70

2010 2011 2012 2013 2014 2015 2016 2017 2018

below USD 5.50 (lhs) below USD 3.20 (lhs) below USD 1.90 (lhs) average GNI* per day (rhs)

constant 2011 int’l dollars

benchmark

Page 4: Sebastian Staske, Giorgi Mzhavanadze and Ricardo Giucci€¦ · • In 2018: people below GEL 413 monthly were part of the lowest 20%, those above GEL 1,580 belonged to the richest

© Berlin Economics

• Peer group: sample of (emerging) European and Central Asian (ECA) countries

• Benchmark LMI: only Tajikistan and Kyrgyzstan with higher rates

• However, most peer group countries have higher average incomes

• Absolute poverty (USD 1.90) in range of Romania and Serbia

➢ Poverty in GEO remains high compared to peer group

International comparison of poverty rates

4

Source: World Bank; Poverty lines and GNI per capita are in constant 2011 international dollars, *) value for GNI per capita from 2013, value for poverty measures from 2015

Share of population living in poverty: international comparison (2017)

%

0

4

8

12

16

20

24

28

0

10

20

30

40

50

60

70

below USD 1.90 (lhs) USD 1.90 to USD 3.19 (lhs) USD 3.20 to USD 5.49 (lhs) GNI per capita (rhs)

thsd. constant 2011 int‘l dollars

Page 5: Sebastian Staske, Giorgi Mzhavanadze and Ricardo Giucci€¦ · • In 2018: people below GEL 413 monthly were part of the lowest 20%, those above GEL 1,580 belonged to the richest

© Berlin Economics

• Number of durables per householdcan be a proxy for living standardand for poverty reduction

• Coverage of kitchen goods and consumer electronics has stronglyincreased

• Since 2015: possible saturation

• In 2018, average of nine durable goods per household

➢ Average number of durables hasstrongly increased

➢ Results corroborate data on poverty reduction

Durable goods

5

3

4

5

6

7

8

9

10

11

2010 2011 2012 2013 2014 2015 2016 2017 2018

Urban Total Rural

Source: Integrated Household Survey (Geostat), GET calculations

*Durables are e.g. kitchen goods (refrigerator, stove), cleaning appliances (washing

machines, vacuum cleaners), consumer electronics (PC, mobile phones) and cars.

Average number of durables* per household

Page 6: Sebastian Staske, Giorgi Mzhavanadze and Ricardo Giucci€¦ · • In 2018: people below GEL 413 monthly were part of the lowest 20%, those above GEL 1,580 belonged to the richest

© Berlin Economics 6

Income distribution

Page 7: Sebastian Staske, Giorgi Mzhavanadze and Ricardo Giucci€¦ · • In 2018: people below GEL 413 monthly were part of the lowest 20%, those above GEL 1,580 belonged to the richest

© Berlin Economics

• Gini scale: 0 – perfect equality, 100 – absolute inequality

• Georgia: decrease from 45.0 in 2010 to 40.4 in 2018

➢ Income inequality went down in the period 2010-2018

Gini coefficient: development in Georgia

7

Gini coefficient in Georgia

Sources: Integrated Household Survey (Geostat); GET calculations

38

40

42

44

46

48

2010 2011 2012 2013 2014 2015 2016 2017 2018

Page 8: Sebastian Staske, Giorgi Mzhavanadze and Ricardo Giucci€¦ · • In 2018: people below GEL 413 monthly were part of the lowest 20%, those above GEL 1,580 belonged to the richest

© Berlin Economics

International comparison

• Only Tajikistan and Turkey have a higher Gini coefficient

➢ Income inequality in GEO is high compared to peer countries

However:

• Redistribution reduces income inequality in Georgia by about 20%

• Gini coefficient at a similar level as in the USA

Gini coefficient: international comparison

8

Gini coefficients: international comparison (2017)

Source: Solt (2019)

*) value for Tajikistan from 2015, for Russia and Ukraine from 2016; **) value for Georgia differs from slide 7 due to data adjustments in Solt (2019) for international comparison

-10

0

10

20

30

40

50

60

disposable income Gini difference to market income Gini (redistribution)

Page 9: Sebastian Staske, Giorgi Mzhavanadze and Ricardo Giucci€¦ · • In 2018: people below GEL 413 monthly were part of the lowest 20%, those above GEL 1,580 belonged to the richest

© Berlin Economics

• In 2018: people below GEL 413 monthly were part of the lowest 20%, thoseabove GEL 1,580 belonged to the richest 20%

• Share of income by quintiles stable, slight reduction for the top 20%

➢ Share of top 20% account for 48% of total income (2018)

Distribution of income quintiles: development in Georgia

9

Household quintiles and corresponding share of income

0

10

20

30

40

50

60

70

80

90

100

2010 2011 2012 2013 2014 2015 2016 2017 2018

0-20% 20-40% 40-60% 60-80% 80-100%

%

Source: Integrated Household Survey (Geostat); GET calculations

Page 10: Sebastian Staske, Giorgi Mzhavanadze and Ricardo Giucci€¦ · • In 2018: people below GEL 413 monthly were part of the lowest 20%, those above GEL 1,580 belonged to the richest

© Berlin Economics

• In the peer group: Turkey, Bulgaria and Russia have a higher share

➢ Share of top 20% is high compared to the peer group

Distribution of income quintiles: international comparison

10

Share of top 20% in total income (2017)%

from 2015, for USA and Germany from

Source: World Bank

*) value for Georgia differs from slide 9 due to adjustments for international comparison; **) value for Tajikistan from 2015, for USA and Germany from 2016.

30

35

40

45

50

Page 11: Sebastian Staske, Giorgi Mzhavanadze and Ricardo Giucci€¦ · • In 2018: people below GEL 413 monthly were part of the lowest 20%, those above GEL 1,580 belonged to the richest

© Berlin Economics 11

Regional income distribution within Georgia

Page 12: Sebastian Staske, Giorgi Mzhavanadze and Ricardo Giucci€¦ · • In 2018: people below GEL 413 monthly were part of the lowest 20%, those above GEL 1,580 belonged to the richest

© Berlin Economics

• Tbilisi: 51% of total GDP, 31% oftotal population (2018)*

➢ National average of GDP per capitaheavily impacted by Tbilisi figures

• Steady increase in GDP per capita

• Big gap between Tbilisi and the restof Georgia in terms of GDP per capita

➢ GDP per capita in Tbilisi around 2.4 times that of the rest of Georgia, but gap is narrowing

The importance of Tbilisi within Georgia

12

Sources: Geostat, GET calculations; Remark: values are in constant 2018 prices

*) Regional GDP figures are based on the location of the headquarters of a firm

rather than the actual location of economic activity. Figures for Tbilisi GDP might

therefore be inflated due to registration of firms there.

Real GDP per capita in Georgia*

0

5

10

15

20

2010 2011 2012 2013 2014 2015 2016 2017 2018

Tbilisi Georgia Georgia ex Tbilisi

thsd. GEL

Page 13: Sebastian Staske, Giorgi Mzhavanadze and Ricardo Giucci€¦ · • In 2018: people below GEL 413 monthly were part of the lowest 20%, those above GEL 1,580 belonged to the richest

© Berlin Economics

• Significant differences in the leveland dynamics within Georgia

• Tbilisi has by far the highest GDP per capita

• At the same time: Tbilisi featuresthe lowest growth rate (togetherwith Samegrelo-Zemo Svaneti)

• Strongest growth: Mtskheta-Mtianeti

➢ Thus: long term trend towardsconvergence in GDP per capitataking place

➢ In other words: reduction in incomeinequality within Georgia

Development of real GDP per capita within Georgia

13

2018

(GEL)

2010

(GEL)

Avg. yrl. growth

rate (%)

Tbilisi 19,915 15,066 3.5

Adjara A.R. 11,594 6,680 7.1

Mtskheta-Mtianeti 11,419 5,754 8.9

Samtskhe-Javakheti 8,854 6,308 4.3

Imereti 8,137 4,710 7.1

Racha-Lechkhumi and

Kvemo Svaneti8,136 4,374 8.1

Kvemo Kartli 8,087 6,049 3.7

Samegrelo-Zemo Svaneti 7,412 5,624 3.5

Kakheti 7,374 3,985 8.0

Guria 6,777 4,790 4.4

Shida Kartli 6,715 4,645 4.7

Georgia 11,958 8,146 4.9

Georgia ex Tbilisi 8,372 5,326 5.8

Sources: Geostat, GET calculations; values for real GDP are in constant 2018 prices

Page 14: Sebastian Staske, Giorgi Mzhavanadze and Ricardo Giucci€¦ · • In 2018: people below GEL 413 monthly were part of the lowest 20%, those above GEL 1,580 belonged to the richest

© Berlin Economics

• International Monetary Fund (IMF) (2017): “Fostering Inclusive Growth.” Presentation at G20 Leaders Summit, Hamburg, July 7–8.

• International Monetary Fund (IMF) (2019): “Promoting Inclusive Growth in the Caucasus and Central Asia.” Departmental Paper No. 19/09, Washington, DC.

• Solt, Frederick (2019): “Measuring Income Inequality Across Countries and Over Time: The Standardized World Income Inequality Database.” SWIID Version 8.2, November 2019.

References

14

Page 15: Sebastian Staske, Giorgi Mzhavanadze and Ricardo Giucci€¦ · • In 2018: people below GEL 413 monthly were part of the lowest 20%, those above GEL 1,580 belonged to the richest

© Berlin Economics

About the German Economic Team

C O N T A C T

Sebastian Staske, Project Manager [email protected]

German Economic Team Tel: +49 30 / 20 61 34 64 0c/o BE Berlin Economics GmbH [email protected]ße 59 www.german-economic-team.com10627 Berlin

The German Economic Team (GET) advises the governments of Ukraine, Belarus, Moldova, Georgia andUzbekistan regarding the design of economic policy reform processes and a sustainable developmentof the economic framework. As part of the project we also work in other countries on selected topics.

In a continuous dialogue with high-level decision makers of the project countries, we identify currentproblems in economic policy and then provide concrete policy recommendations based onindependent analysis.

In addition, GET supports German institutions in the political, administrative and business sectors withits know-how and detailed knowledge of the region’s economies.

The German Economic Team is financed by the Federal Ministry of Economics and Energy. Theconsulting firm Berlin Economics has been commissioned with the implementation of the project.