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Emerging “South” and Ageing “North” – A Case for South-South Trade Diversification for Turkey Patrick Georges and Aylin ...

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Emerging “South” and Ageing “North” – A Case for South-South Trade Diversification for Turkey Patrick Georges and Aylin Seçkin 9th Meeting of the Working Group on Macroeconomic Aspects of Intergenerational Transfers

Barcelona, June 3-4, 2013 TUBITAK Research Grant # SOBAG 111K489

NTA Turkey – 3 studies 1. National Transfer Accounts (NTA) for Turkey: A First Step  – The Life Cycle Deficit 2. Demographic shock in Turkey: Economic and fiscal  impacts of UN medium and high fertility scenarios  • Small open economy, OLG‐CGE • Calibration to some NTA Turkey features 3. Emerging “South and Ageing “North” –A Case for South‐ South Trade Diversification for Turkey • Multi‐country, OLG‐CGE model with international trade  2

Outline

1. Global Trade Flows and  Policy Debate in Turkey 2. 3.

Trade Diversification and  Demographics / Results   Conclusion/Caveats 3

Trends in Global Trade Flows (last 20 years) • Share of North‐North Trade: decreased • Share of North‐South Trade: slight increase • Share of South‐South Trade: Impressive  increase

4

Fig. 1 Shares of North‐North, North‐South and South‐South trade in world  merchandise exports, 1990‐2011  (% of world trade) 100 90 80 70 60 50 40 30 20 10 0

North‐North

56

51

50

46

41

40

37

36

North‐South

33

8

35

12

36

12

37

16

37

37

20

21

38

38

South‐South 23

24

1990 1995 2000 2005 2008 2009 2010 2011

Unspecified destinations 5

Trends in Global Trade Flows • « Naïve » trend projection: By 2050, South‐South share =50% of global trade flows (compared to 24% today)

• Danger of extrapolating past trends, but: – South is benefitting from a demographic dividend •

Increasing number of workers and consumers

– South is a source of major trade & growth opportunity for the South!

6

Trade Policy Debate in Turkey • Big question:  Benefits for Turkey of developing further trade links with – – – –

MENA (Midde East and North Africa) Russia and CIS (Commonwealth of Indep’t states) Turkic countries (Azerbaïdjan, Turkmenistan, Kazakhstan…) India, China?

• One obvious fact:   Share of Europe in Turkish overall trade flows has fallen since the 1996 Customs Union EU‐Turkey 7

Where does Turkey export? 0.70 0.60 0.50

USA

0.40

EUR RUS

0.30

CHN

0.20

IND

0.10

ROW 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

0.00

8

Where does Turkey export? Decomposing the ROW share of Turkish export

0.60 0.50 0.40

TUC

0.30

NAC

0.20

MEC OTH

0.10 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

0.00

9

From where does Turkey import? 0.6 0.5 USA

0.4

EUR 0.3

RUS

0.2

CHN IND

0.1

ROW 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

0

10

Trade Policy Debate in Turkey • EU membership candidacy? — Disillusion • Customs Union with EU? – Scrap it(?) – Falling trade shares with EU – Turkey lose the ability to negotiate FTAs with new  partners (separately from EU) – “EU‐USA” Transatlantic FTA negotiations:   • •



Turkish tariffs on US goods must be eliminated US tariffs on Turkish goods must be negotiated  separately  

Look “East” (MENA, CIS, Turkic countries) 11

Trade Policy Debate in Turkey • Demographic trends emphasized:  – In Turkey: Working age population/total population is  growing – EU is ageing,  (this is the opposite) 

12

Outline 1.

Global Trade Flows and Policy Debate  in Turkey

2. Trade Diversification and  Demographics /results   3.

Conclusion/Caveats 13

Population ageing will be a defining feature of  most countries during the 21st century Old‐Age Dependency Ratio (%)      [65+/(15 – 64)] 60.00 50.00

TUR

40.00

USA

30.00

EUR RUS

20.00

CHN

10.00

IND 2090

2070

2050

2030

2010

1990

1970

1950

0.00

ROW

14

• Economic/fiscal impact of ageing? • Use of a Dynamic global OLG CGE model  – Georges and Mérette (2010),  – Mérette and Georges (2010)

– Dynamic: demographic transition:1930 – 2100 • Forward looking agents – Global: Turkey, USA, EU, Russia, China, India, ROW   • All 7 countries/regions are fully modeled – OLG: 7 generations (age groups) alive at each point in time  • 15‐24 // 25‐34 // 35‐44 // 45‐54 // 55‐64 // 65‐74 // 75‐84 5 working-age generations

2 retired generations

• One representative agent per age group who maximizes  lifetime utility (7 representative households in each  region) 15

Calibration, Shock • Calibration (in part) to GTAP‐8 trade data, OECD  pension benefit rates • For the Future: use of NTA data as well • Shock: demographic projections of the UN (medium  variant) (exogenous to the model) 2.5 2 1.5 1 0.5 0

TUR USA EUR RUS 2011 2031 2051 2071 2091

CHN IND

OADR

60.00 50.00 40.00 30.00 20.00 10.00 0.00

TUR USA EUR RUS CHN 1950 1990 2030 2070

Total Population  (normalised at 1 in 2011)

IND 16

Impact of Pop ageing on GDP/Capita Less productive

Part time

Discrimination against older

Retirement

GDP GDP Hours # Employed Labor Force = × × × × POP 1 Hours # Employed 1 Labor 15 +43 23 1 42 4 Force 43 4 142 4 4 4243 Productivity

Effort

Employment Rate

Labor Force Participation

# Employed

POP

Less young (smalle Pop size)

15 + POP 1 23

Adult over Total Pop

Labor Force

15+ # Unemployed

Inactive& retired 0-15

17

(PRELIMINARY!)  Demographically‐driven real GDP/POP  (abstracting from technical progress) 110 105

TUR

100

USA EUR

95

RUS

90

CHN IND

85

ROW

80 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100 18

Real Consumption per Capita • Real Consumption is the difference between  real Production (GDP) and Saving

?

CON = POP

PQ ⎧ GDP Saving ⎫ ×⎨ − ⎬ CON P2 POP ⎭ ⎩ POP 1 3

Terms of Trade

• Increase in GDP/POP increases CON/POP • In a close economy with a single good, Pcon =PQ • In an open economy, Pcon ≠PQ

Real Consumption per Capita (Turkey)

?

CON = POP

PQ ⎧ GDP Saving ⎫ ×⎨ − ⎬ CON P POP POP ⎭ ⎩ 123

Terms of Trade

– If Europe ages faster, the goods produced by EU  would become relatively “rare” in world markets.   – And the price of EU goods would increase relative  to those produced in younger countries. – When Turkey imports from EU, PCON  – Deterioration in the “Terms of trade” (TOT) for  Turkey

?

CON = POP

PQ ⎧ GDP Saving ⎫ ×⎨ − ⎬ CON P2 POP ⎭ ⎩ POP 1 3

Terms of Trade

• If the TOT effect is sufficiently strong: • • •



ageing North could lead to “Immiserizing growth” in the South Bhagwati, 1958 Acemoglu and Ventura (2002) (TFP shock) Here: Demographic variant: cost of ageing North is diffused throughout the South through TOT adjustments ???Demographic Dividends in the South? 21

• But what will happen to savings? CON = POP

? Saving ⎫

⎧ GDP ×⎨ − ⎬ POP POP ⎩ ⎭

PQ P2 CON 1 3

Terms of Trade 1.6

12

1.4

10

1.2

Saving/POP

1

6

0.8 0.6 0.4

INV/POP

4

CA/POP

2

0.2

C/POP Q/POP Saving/POP

0

0 ‐0.2

8

‐2

193019501970199020102030205020702090

After 2050

CON = POP

PQ P2 CON 1 3

⎧ GDP Saving ⎫ ×⎨ − ⎬ POP POP ⎩ ⎭

Terms of Trade

22

Demographically‐driven  CON/POP 120 115 TUR

110

USA

105

EUR

100

RUS

95

CHN

90

IND

85

ROW

80 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100 23

Trade Diversification • impact on Turkey’s CON/POP if  we diversify away from the EU in  favor of specific trade partners  (MENA/CIS)?

24

Trade diversification Change in shares  is   

0.6 0.5 0.4

EUR share in TUR imports

0.3

ROW share in TUR imports

0.2 0.1 1996 2006 2016 2026 2036 2046 2056

0

– incremental

(roughly 2.5%  points every 10  year (2010‐ 2050)) –Permanent

Current and counterfactual country shares in Turkey’s import Benchmark  import shares

Diversification to ROW

USA

5.4

5.4

EU

40.7

27.1

RUS

11.4

11.4

CHN

7.4

7.4

IND

1.3

1.3

ROW

33.8

47.4



Total

100.0 100.0 Source: GTAP 8 and Authors’ computations 26

Trade Diversification and Terms of  Trade effect 1.015 1.01 1.005 1 0.995 0.99 0.985 0.98 0.975 0.97

Terms of trade (PQ/PCON)

Benchmark Trade Diversification

CON = POP

PQ ⎧ GDP Saving ⎫ ×⎨ − ⎬ CON P POP POP ⎭ ⎩ 123

Terms of Trade

27

Diversification scenario:  CON/POP (Turkey) 125 120 115 Benchmark

110 105

Trade Diversification

100 95 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100

90

But, in an OLG model, …different age groups So, who gains, who loses? 28

Welfare of individual cohorts PV of current and future consumption of cohorts (as of their first active working period) 5 4.5 4 3.5 3 2.5 2 1.5 1 0.5 0

ALCI benchmark

2090

2070

2050

2030

2010

1990

1970

1950

Trade diversification

29

Social Welfare Function Sum of welfare indices over cohorts alive during a specific period 7 6 5 4 3 2

ALCI benchmark Trade diversification

1 0

30

Outline 1. 2.

Global Trade Flows and Policy Debate  in Turkey Trade Diversification and  Demographics / Results 

3. Conclusion/Caveats 31

• Objective of paper –Scenarios of trade diversification in  the perspective of an ageing world  oGeorges and Mérette (2010);  oMérette and Georges (2010);

• Results –South‐South trade diversification  could be beneficial to Turkey

32

Caveats/Next Steps 1. only one good per country –

Multisectoral analysis

2. Assumption of imperfect substitution (some  market power) – Important feature of international trade theory

3. Exogenous change in trade shares  –

What might cause endogenous changes in shares • FTA with MENA/CIS?  • Building networks and establishing trust

4. Multi‐country calibration to NTA – NEXT 33

Emerging “South” and Ageing “North” – A Case for South-South Trade Diversification for Turkey Patrick Georges and Aylin Seçkin 9th Meeting of the Working Group on Macroeconomic Aspects of Intergenerational Transfers

Barcelona, June 3-4, 2013 TUBITAK Research Grant # SOBAG 111K489

Laursen-Metzler debate: • If TOT deterioration is transitory: (Laursen-Metzler effect) o Saving ↓ (CA ↓) and CON constant CON = POP

PQ ⎧ GDP Saving ⎫ ×⎨ − ⎬ CON P POP POP ⎭ ⎩ 123

Terms of Trade

• If TOT deterioration is permanent: (Obstfeld, 1982) o CON decreases. Demographic shock (long-lasting) CON = POP

PQ ⎧ GDP Saving ⎫ ×⎨ − ⎬ CON P POP POP ⎭ ⎩ 123

Terms of Trade

Household inter-temporal problem -------TP-------------------------T-------------------

ORD TTP (TTP) 1 1870 2 1880 3 1890 4 1900 5 1910 6 1920 7 1930(TI) 8 1940 9 1950 10 1960 11 1970 12 1980 13 1990 14 2000 15 2010 … … … … 35 2210 36 2220 = CARD (TTP)

Generations g ∈ G; gj ∈ GJ; gm ∈ GM ------------------- GJ---------------------GM----g1 g2 g3 g4 g5 g6 g7 (GI) (GN)

Generations alive at time t Popt,g

Popt,g+1

Popt+1,g

Popt+1,g+1

Popt+2,g Popt+3,g

Popt,g+2

Popt,g+3

Popt,g+5

Popt,g+6

Popt+2,g+2 Popt+3,g+3

Popt+4,g

Population growth over time

Popt,g+4

Popt+4,g+4

Life-time profile of cohort (generation) born at time t

Popt+5,g+5 Popt+6,g+6

36

Household inter‐temporal problem •

Household chooses a profile of consumption over its life‐cycle in order to maximize  its lifetime utility under a dynamic budget constraint

U (Con j ,t , g ) U (Con j ,t +1, g +1 ) U (Con j ,t +2, g +2 ) U (Con j ,t +6, g +6 ) + + + ... Uj = 2 3 1 +ψ j (1 + ψ j ) 7 (1 + ψ j ) (1 + ψ j ) U j = ∑k =0 6

U (Con j ,t +k , g +k )

[1 +ψ ]

k +1

j

Uj is a weighted sum of periodic utility function U(.)

ψj = subjective rate of time preference (the higher ψ and the higher the bias for present consumption)

k indexes the increment in the period and the generation 37

Intratemporal problem of household and firms LdemQ j,qual2,t

LdemQ j,qual1,t

C.E.S.

LdemQ i,qual1,t

LdemQ i,qual2,t

C.E.S.

Ldem j,t

Kdem j,t

Ldem i,t

C.D.

C.D.

Supply: Qj,t (at price PQj,t )

Ei,j,t

Ej,j,t

Armington

Composite Final Demand (at price PC j,t )

∑Pop

j ,t , g

Kdem i,t

Supply: Qi,t (at price PQ ) i,t

Ej,i,t

Ei,i,t

Armington

Composite Final Demand at price PCi,t

Con j ,t , g

g

+ Inv j ,t + Gov j ,t

38

Pension System -- Pay as You Go Funding Fully funded (100%) pension plan Our assumptions in this model

Not funded pension plan PAYG

Defined benefit, PensR exogenous CTR endogenous

Defined contribution PensR endogenous, CTR exogenous 39