transforming the philippine economy · 2/28/2012 · is about the transformation of the economy...
TRANSCRIPT
29/02/2012
1
Transforming the Philippine Economy
Industrial Upgrading and Diversification
Norio Usui
Senior Country Economist Philippines Country Office, Asian Development Bank
ADB-AFD-JICA Joint Forum “Taking the Right Road to Inclusive Growth”
28 February 2012
Presentation
Issues: A missing link between growth and development, long-term development puzzle, and vulnerability to external shocks
Approach: Analyzing the structural transformation and its implications on inclusive growth – Economy-wide productivity
– Product upgrading and diversification
Findings: – Lagged growth is rooted in productivity growth deficit due to sluggish
industrialization
– Limited job opportunities resulted in slow poverty reduction
– Growing services provide jobs, but it cannot be a magic trick
Recommendations: – “Waking on two legs”
– Targeted public sector interventions:
• Product identification
• Public and private dialogues
GDP growth in the past 5 decades (annual average, %)
4.9
5.9
1.7
2.9
4.8
0
1
2
3
4
5
6
7
1960s 1970s 1980s 1990s 2000s
Solid growth over the 2000s
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2
Weak labor market indicators
7.0
19.3
-
5
10
15
20
25
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
Unemployment Underemployment
Series break % Poverty incidence (%)
33.1
24.9 26.4 26.5
28.3
20.1 21.1 20.9
0
10
20
30
40
1991 2003 2006 2009
by Population by Families
Persistent poverty
Growth and investment paradox
21.6
18.3
20.3
17
18
19
20
21
22
2000 2002 2004 2006 2008 2010
88.0
12.3
55.4
44.0
85.7
51.0
2.0
45.0
11.5
38.0
0
20
40
60
80
100
Indonesia 1984-2007
Malaysia 1984–2009
Philippines 1985–2006
Thailand 1980–2004
Viet Nam 1993–2008
Base year Comparison year
Chronic problems even in the regional context
Slow poverty reduction (headcount ratio at $2 a day PPP, % of population)
High unemployment (% of total labor force)
Stagnant investment (gross fixed capital formation, % of GDP)
0
2
4
6
8
10
12
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
2008
Indonesia
Malaysia
Philippines
Thailand
Vietnam
10
20
30
40
50
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
2008
Indonesia
Malaysia
Philippines
Thailand
Viet Nam
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Recent development: sharp drop of export How about your neighbors?
Total exports (3 month moving average, % change, year-on-year)
-50
-40
-30
-20
-10
0
10
20
30
40
50
60
Jan
-07
Ap
r-0
7
Jul-
07
Oct
-07
Jan
-08
Ap
r-0
8
Jul-
08
Oct
-08
Jan
-09
Ap
r-0
9
Jul-
09
Oct
-09
Jan
-10
Ap
r-1
0
Jul-
10
Oct
-10
Jan
-11
Ap
r-1
1
Jul-
11
Oct
-11
INO THA MAL PHI
Long-term growth puzzle
Real GDP per capita 1960 (constant 2000 $)
Real GDP per capita 1960 – 2010 (constant 2000 $)
Once upon a time……. After five decades…….
105 145
201
1,154
813
692
321
0
200
400
600
800
1,000
1,200
1,400
PR
C
Ind
ia
Ind
on
esia
Kore
a, R
ep.
Mal
aysi
a
Ph
ilip
pin
es
Thai
lan
d
0
1,000
2,000
3,000
4,000
5,000
6,000
19
60
19
65
19
70
19
75
19
80
19
85
19
90
19
95
20
00
20
05
20
10
China India Indonesia
Malaysia Philippines Thailand
Vietnam
5.6
6.5
4.0
6.5
4.6
6.2
3.8
4.6
-1.9
-2.5 -2.5
-1.9
-1.4
-2.2 -2.1
-1.0
3.7 4.0
1.5
4.6
3.6
3.9
1.8
3.6
-4
-2
0
2
4
6
8
INO MAL PHI THA INO MAL PHI THA
GDP (constant 2000 US$) Population Per capita GDP
GDP per capita growth (%, annual average)
1960 - 2008 1990 - 2008
Was it because of high population growth? Growth and Structural Change
The two sides of a coin
Growth
is not just more of the same
“A growth miracle sustained for a period of decades...must involve the continual introduction of new goods, not merely continual learning on a fixed set of goods”
(Robert Lucas)
Structural
Change
is about the transformation of the economy by:
transferring resources from less productive activities to more productive ones
1. Diversifying production 2. Upgrading production 3. Increasing labor
productivity
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4
0
2,500
5,000
7,500
10,000
12,500
0
1,500
3,000
4,500
6,000
7,500
1980 1985 1990 1995 2000 2005
Indonesia Philippines Thailand
Malaysia Viet Nam
Economy-wide labor productivity 1980-2009
Constant 2000 $ Annual average growth rate, %
MAL (RHS)
THA
INO
PHI
VIE
2.5 2.7
0.3
3.6
4.4
2.2
3.4
1.1
3.6
5.7
3.4
2.1
1.8
2.5
4.8
0
1
2
3
4
5
6
Indonesia Malaysia Philippines Thailand Viet Nam
1980-2009 1990-2000 2000-2009
Which sector is more productive in your economy?
0
2,000
4,000
6,000
8,000
10,000
12,000
19
80
19
82
19
84
19
86
19
88
19
90
19
92
19
94
19
96
19
98
20
00
20
02
20
04
20
06
20
08
Agriculture Industry Service Manufacturing
Where did your labor move?
0
2,000
4,000
6,000
8,000
10,000
12,000
Agriculture Industry Services Manufacturing
0
2,000
4,000
6,000
8,000
10,000
12,000
Agriculture Industry Services Manufacturing
0
10
20
30
40
50
60
70
80
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
0
10
20
30
40
50
60
70
80
19
80
19
82
19
84
19
86
19
88
19
90
19
92
19
94
19
96
19
98
20
00
20
02
20
04
20
06
Employment by sector
Labor productivity by sector
Decomposition of labor productivity growth 1980 – 2009
9.0 -2.2 -10.7
8.4
61.0
54.0
-3.8
90.9
37.2 62.8
24.9
76.7
-50
0
50
100
150
200
Indonesia Malaysia Philippines Thailand
Agriculture Industry Services
71.3
105.6
-1.8
77.8
35.8
9.0
12.2
98.2
-50
0
50
100
150
200
Indonesia Malaysia Philippines Thailand
Sectoral productivity growth
Structural transfromation
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Country
Capabilities
Products
“Lego” and Development Distance between products
Nearby
Far away
How products are linked each other?
Product 1
Product 2
Product 3
Can I jump to the distant tree?...No! But, I can jump to the near one.
Ricardo’s Metaphor Monkeys in a Forest
Firm
oil
fishing
agriculture tropical
garments
metallurgy
textiles
agriculture animal
machineries
fruits
cereals
vehicles
electronics
chemicals
mining
products forest
Product Space (Hidalgo et al. 2007)
Core-Periphery structure, with some ‘clusters’
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21
Where are the monkeys?
Denotes RCA≥1
(Hidalgo et al. 2007)
THA 1965
RCA≥1
THA 1975 THA 1985
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THA 1995 THA 2005
THA 2008 PHL 1965
RCA≥1
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PHL 1975 PHL 1985
PHL 1995 PHL 2005
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PHL 2008
Do you want to see PRC and India?
How many of your products have comparative advantage?
35
0
74
4
134
21
132
34
91
29
110
40
0
25
50
75
100
125
150
175
200
core core core core core core
1965 1975 1985 1995 2005 2008
51
2
84
9
159
12
183
46
179
63
186
70
0
25
50
75
100
125
150
175
200
core core core core core core
1965 1975 1985 1995 2005 2008
You have depended more on services
% Contribution to GDP Growth: 1980-2008
50.1 49.4
26.3
48.3
26.5
47.4
38.5 43.5
66.6
43.2
61.9
43.3
11.4 7.2 7.1 8.6 11.7 9.3
0
20
40
60
80
100
INO MAL PHI THA IND PRC
Industry Services Agriculture
Growing business process outsourcing A magic trick?
5,288
7,717
0
4
8
12
16
20
0
2,000
4,000
6,000
8,000
10,000
2004 2005 2006 2007 2008 2009
Contact Center
Transcription
Animation
Software Development
Other BPOs
% of total export of goods & services (RHS)
355,135
444,811
0.0
0.4
0.8
1.2
1.6
2.0
0
100,000
200,000
300,000
400,000
500,000
2004 2005 2006 2007 2008 2009
Contact Center
Transcription
Animation
Software Development
Other BPOs
% of total labor force (RHS)
Export (million $) Employment (persons)
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Assessment - Summing up -
• The past growth has been largely led by services
• Lagged growth is rooted in persistent productivity growth deficit due to stagnant industrialization, in particular lack of product diversification
• Limited job opportunities resulted in the slow poverty reduction
• The service-led growth did not require a relatively high investment
• Booming BPOs create jobs, but its impact is limited given the scale of utilized workforce, and its bias toward educated labor
• To join the growth club in the region and translate the growth into inclusive one, the country needs to “walk on two legs” both in industry and modern services
How can we help entrepreneurs jump to new products?
• Growth diagnostics, cross country regressions
• Resolving long-standing issues:
– Infrastructure
– Business and investment climate
• Horizontal interventions: Is that all?
• Critical importance of focusing on product-specific constraints
• Public and private dialogue (joint diagnostic exercise)
High electricity price Is it a real headache for all?
Share of electricity cost in total production cost (including labor cost, depreciation, net tax)
1: Ave: 0.79
3: Ave: 4.63
2: Ave: 7.67
4: Ave: 0.27 5: Ave: 3.86 6: Ave: 0.57 7: Ave: 5.33 8: Ave: 2.42 9: Ave: 0.48 11: Ave: 0.99
10: Ave: 3.77
Manufacturing
Electronics…….have you fully exploited the opportunities?
RCA≥1
RCA<1
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Targeted Public Sector Support - Policymakers’ headaches -
Headache 1: Product identification (targeting)
Headache 2: Diagnostics of binding constraints for the targeted products
Are we “picking winners”?
• Picking winners in the old sense of the term is about protecting and subsidizing low productivity
• Many inputs that the government has to provide are sector and/or product-specific – ‘doomed to choose’
– Not about subsidizing low-productivity, but investing in higher productivity
– The product space gives additional information to inform that choice
How can we “choose”?
Key dimensions of product identification
Easiness to jump: Nearby? Middle? Far Away?
– Above average sophistication (direct effect)
– Opportunities for further structural change (spillover effects)
– Capacity to absorb labor (job creation)
– Others such as global demand growth
If your targets are far away…… foreign direct investment
42
51
18
71
43
0
10
20
30
40
50
60
70
80
Indonesia Malaysia Philippines Thailand Viet Nam
1970s
1980s
1990s
2000s
($ billion, cumulative)
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Public - Private Dialogues
Private
Inputs Information,
Incentives,
Resources
Public
Inputs
Exchange of Information & Shared Risks
• How to provide highly specific, high dimensional public inputs that are complements in private production?
• Private inputs: – Prices: information – Profit-motivated firms:
incentives – Capital markets: move
resources
• Public inputs: – No price: where to get the
information? – What are the incentives?
Political? – Even with incentives, how
would resources move?
In the absence of coordination, monkeys can only jump to trees that require inputs that are already present
Thank you
The findings, interpretations, and views expressed are entirely those of the author, and do not necessarily represent the views of the Asian Development Bank, its executive directors, or the countries they represent.
For further information, please contact: Norio Usui ([email protected])
Philippine Country Office, Asian Development Bank
Producing (& exporting) mango requires: • a certain type of soil • mechanized farming equipment • agribusinesses firms that know the market,
etc.,
but also “public goods” such as: • specific property rights • port infrastructure • road system • cold-storage facilities • phytosanitary regulations • market access agreements, etc.
Capabilities PRC 2008
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India 2008 How far unexploited products from your current export basket?
RCA≥1 RCA<1
Far Away Nearby
Where do you want to go?
Nearby Middle Far away
For example, if you want to choose “sophisticated products”
Export
value
(M US$)
7522 Complete digital data processing machines Machinery 28,109 3,403 1.347 0.327 164.24 0.74 24.76
8851 Watches, watch movements and case Machinery 25,310 6,014 2.982 0.656 89.72 0.201 8.07
8811 Photographic cameras, flashlight apparatus, parts, accessories, nes Machinery 17,702 5,488 2.042 0.912 16.37 0.034 -9.97
7643 Television, radio-broadcasting; transmitters, etc Machinery 16,537 8,103 1.193 0.644 447.26 1.116 12.12
8852 Clocks, clock movements and parts Machinery 15,040 7,273 2.982 0.624 15.13 0.037 2.23
6531 Fabrics, woven, of continuous synthetic textile materials Capital intensive 14,843 9,480 3.065 0.508 38.44 0.121 2.99
7641 Electrical line telephonic and telegraphic apparatus Machinery 14,713 8,346 1.193 0.16 20.84 0.238 -7.89
7622 Portable radio receivers Machinery 13,995 3,808 0.957 0.034 0.61 0.034 -1.67
0350 Fish, dried, salted or in brine; smoked fish Animal products 13,841 5,650 1.611 0.949 21.25 0.035 7.63
7642 Microphones; loud-speakers; audio-frequency electric amplifiers Machinery 13,583 7,997 0.957 0.635 49.25 0.121 7.19
7512 Calculating, accounting, cash registers, ticketing, etc, machines Machinery 13,485 8,199 0.383 0.031 0.72 0.036 2.96
0344 Fish fillets, frozen Animal products 13,286 5,413 1.611 0.762 44.87 0.09 12.67
0612 Refined sugar etc Tropical Agruculture 12,595 7,539 0.647 0.008 0.33 0.063 12.59
8973 Precious jewellery, goldsmiths' or silversmiths' wares Labor intensive 12,091 6,952 2.982 0.188 38.39 0.321 13.69
6664 Porcelain or china house ware Labor intensive 11,998 10,039 2.829 0.573 9.57 0.027 7.93
8981 Pianos, other string musical instruments Labor intensive 11,293 6,961 8.981 0.028 0.21 0.011 5.56
0814 Flours and meals, of meat, fish,etc, unfit for human; greaves Cereals 11,284 4,220 1.022 0.152 3.25 0.031 6.67
7243 Sewing machines, furniture, needles etc, and parts thereof, nes Machinery 11,250 9,035 1.392 0.228 4.16 0.035 3.01
7757 Domestic electro-mechanical appliances; and parts thereof, nes Machinery 10,866 8,559 0.505 0.092 8.02 0.142 11.13
8952 Pens, pencils and, fountain pens Labor intensive 10,829 9,795 3.547 0.028 0.85 0.049 6.45
RCA
Share to
world
export
(%)
Annual
average
growth rate
(%, 2000-
2007)
SITC
Code"Nearby" Commodities
Leamer
ClassificationPRODY
Strategic
Value
Labor
Intensity
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Table 1.2: Ranked based on Strategic Value
Export
value
(M US$)
6664 Porcelain or china house ware Labor intensive 11,998 10,039 2.829 0.573 9.57 0.027 7.93
8952 Pens, pencils and, fountain pens Labor intensive 10,829 9,795 3.547 0.028 0.85 0.049 6.45
6531 Fabrics, woven, of continuous synthetic textile materials Capital intensive 14,843 9,480 3.065 0.508 38.44 0.121 2.99
7243 Sewing machines, furniture, needles etc, and parts thereof, nes Machinery 11,250 9,035 1.392 0.228 4.16 0.035 3.01
6674 Synthetic or reconstructed precious or semi-precious stones Labor intensive 10,643 8,688 16.177 0.070 0.20 0.004 3.05
7757 Domestic electro-mechanical appliances; and parts thereof, nes Machinery 10,866 8,559 0.505 0.092 8.02 0.142 11.13
7641 Electrical line telephonic and telegraphic apparatus Machinery 14,713 8,346 1.193 0.160 20.84 0.238 -7.89
8998 Small-wares and toilet articles, nes; sieves; tailors' dummies, etc Labor intensive 10,275 8,317 3.547 0.272 7.47 0.043 7.24
7512 Calculating, accounting, cash registers, ticketing, etc, machines Machinery 13,485 8,199 0.383 0.031 0.72 0.036 2.96
7643 Television, radio-broadcasting; transmitters, etc Machinery 16,537 8,103 1.193 0.644 447.26 1.116 12.12
7642 Microphones; loud-speakers; audio-frequency electric amplifiers Machinery 13,583 7,997 0.957 0.635 49.25 0.121 7.19
0612 Refined sugar etc Tropical Agruculture 12,595 7,539 0.647 0.008 0.33 0.063 12.59
8852 Clocks, clock movements and parts Machinery 15,040 7,273 2.982 0.624 15.13 0.037 2.23
6552 Knitted, not elastic nor rubberized, of fibres other than synthetic Capital intensive 10,446 7,267 4.594 0.142 11.15 0.125 14.25
8981 Pianos, other string musical instruments Labor intensive 11,293 6,961 8.981 0.028 0.21 0.011 5.56
8973 Precious jewellery, goldsmiths' or silversmiths' wares Labor intensive 12,091 6,952 2.982 0.188 38.39 0.321 13.69
1124 Distilled alcoholic beverages, nes Tropical Agruculture 10,808 6,214 0.473 0.170 18.91 0.172 10.77
8851 Watches, watch movements and case Machinery 25,310 6,014 2.982 0.656 89.72 0.201 8.07
0350 Fish, dried, salted or in brine; smoked fish Animal products 13,841 5,650 1.611 0.949 21.25 0.035 7.63
8811 Photographic cameras, flashlight apparatus, parts, accessories, nes Machinery 17,702 5,488 2.042 0.912 16.37 0.034 -9.97
RCA
Share to
world
export
(%)
Annual
average
growth rate
(%, 2000-
2007)
SITC
Code"Nearby" Commodities
Leamer
ClassificationPRODY
Strategic
Value
Labor
Intensity
High opportunities for further structural change Table 1.3: Ranked based on Labor Intensity
Export
value
(M US$)
6674 Synthetic or reconstructed precious or semi-precious stones Labor intensive 10,643 8,688 16.177 0.070 0.20 0.004 3.05
8981 Pianos, other string musical instruments Labor intensive 11,293 6,961 8.981 0.028 0.21 0.011 5.56
6552 Knitted, not elastic nor rubberized, of fibres other than synthetic Capital intensive 10,446 7,267 4.594 0.142 11.15 0.125 14.25
8952 Pens, pencils and, fountain pens Labor intensive 10,829 9,795 3.547 0.028 0.85 0.049 6.45
8998 Small-wares and toilet articles, nes; sieves; tailors' dummies, etc Labor intensive 10,275 8,317 3.547 0.272 7.47 0.043 7.24
6531 Fabrics, woven, of continuous synthetic textile materials Capital intensive 14,843 9,480 3.065 0.508 38.44 0.121 2.99
8852 Clocks, clock movements and parts Machinery 15,040 7,273 2.982 0.624 15.13 0.037 2.23
8973 Precious jewellery, goldsmiths' or silversmiths' wares Labor intensive 12,091 6,952 2.982 0.188 38.39 0.321 13.69
8851 Watches, watch movements and case Machinery 25,310 6,014 2.982 0.656 89.72 0.201 8.07
6664 Porcelain or china house ware Labor intensive 11,998 10,039 2.829 0.573 9.57 0.027 7.93
8811 Photographic cameras, flashlight apparatus, parts, accessories, nes Machinery 17,702 5,488 2.042 0.912 16.37 0.034 -9.97
0350 Fish, dried, salted or in brine; smoked fish Animal products 13,841 5,650 1.611 0.949 21.25 0.035 7.63
0344 Fish fillets, frozen Animal products 13,286 5,413 1.611 0.762 44.87 0.090 12.67
7243 Sewing machines, furniture, needles etc, and parts thereof, nes Machinery 11,250 9,035 1.392 0.228 4.16 0.035 3.01
7522 Complete digital data processing machines Machinery 28,109 3,403 1.347 0.327 164.24 0.740 24.76
7641 Electrical line telephonic and telegraphic apparatus Machinery 14,713 8,346 1.193 0.160 20.84 0.238 -7.89
7643 Television, radio-broadcasting; transmitters, etc Machinery 16,537 8,103 1.193 0.644 447.26 1.116 12.12
0814 Flours and meals, of meat, fish,etc, unfit for human; greaves Cereals 11,284 4,220 1.022 0.152 3.25 0.031 6.67
7642 Microphones; loud-speakers; audio-frequency electric amplifiers Machinery 13,583 7,997 0.957 0.635 49.25 0.121 7.19
7622 Portable radio receivers Machinery 13,995 3,808 0.957 0.034 0.61 0.034 -1.67
RCA
Share to
world
export
(%)
Annual
average
growth rate
(%, 2000-
2007)
SITC
Code"Nearby" Commodities
Leamer
ClassificationPRODY
Strategic
Value
Labor
Intensity
High labor absorption