China and La)n America: Implica)ons for Sustainable Development Kevin Gallagher and Rebecca Ray Boston University March 25, 2014 Boston University Global Economic Governance Ini:a:ve
China and La)n America: Implica)ons for Sustainable Development
Kevin Gallagher and Rebecca Ray Boston University
March 25, 2014
Boston University
Global Economic Governance Ini:a:ve
Outline
• Background • Project Descrip)on • Preliminary Project Results
LAC-‐China Economic Ac)vity Major Benefits
• Increased trade— – large and growing with price impacts
• Increased FDI from China – large and growing
• Major source of finance
2.2%$3.3%$ 3.4%$ 3.7%$ 3.7%$
5.2%$ 4.9%$
7.1%$8.2%$ 8.5%$
9.1%$
1.1%$1.8%$ 1.3%$ 1.6%$ 1.6%$ 1.7%$ 1.4%$
2.1%$ 1.8%$ 1.8%$ 2.1%$
3.7%$
5.3%$ 5.6%$ 5.8%$ 5.8%$
8.9%$
7.6%$
11.4%$
13.2%$ 13.3%$
15.3%$
0.0%$
2.5%$
5.0%$
7.5%$
10.0%$
12.5%$
15.0%$
17.5%$
2002$ 2003$ 2004$ 2005$ 2006$ 2007$ 2008$ 2009$ 2010$ 2011$ 2012$
Expo
rts(to(Ch
ina(as(a(Shrae(of(A
ll(Expo
rts(
Total$Exports$Manufactured$Products$PrimaryCBased$Products$and$Crude$Petroleum$
LAC-‐China Exports: $131B (2012) China’s Importance as an Export Des4na4on, by Commodity Sector
Note: Categories are defined using Sanjaya Lall’s “Technological Classifica)on of Exports” (Lall, 2000). Source: UN COMTRADE and authors’ calcula)ons.
LAC-‐China Exports Top Commodi4es, 2008-‐2012
Source: UN COMTRADE and authors’ calcula)ons.
Sector Share Country share of LAC-‐China exports, each sector
Iron ore, concentrates 22.1% Brazil (86%)
Soybeans, other oilseeds 14.7% Brazil (67%), Argen)na (28%)
Crude petroleum 11.9% Venezuela (46%), Brazil (29%), Colombia (10%)
Refined copper 10.9% Chile (92%)
Copper ores, concentrates 6.9% Chile (51%), Peru (32%), Mexico (13%)
Transistors and valves 5.1% Costa Rica (82%), Mexico (17%)
TOTAL: 71.6%
Chinese Greenfield FDI in LAC-‐$30-‐50B Share of all GFDI inflows to LAC, by sector
Source: FDI Markets and authors’ calcula)ons.
1.3%%0.8%%
2.2%%
0.8%%0.4%% 0.5%% 0.7%%
0.2%% 1.3%%
0.2%%
0.4%% 1.3%%
0.4%%0.9%%
1.2%%
1.5%%
1.1%%
2.9%%
3.6%%
0.3%%1.4%%
1.2%%
1.0%%
1.1%% 0.4%%
0.3%%
1.9%%
0.4%%
3.2%%
1.7%%
1.7%%
2.9%%
0.8%%
2.6%%
6.3%%5.9%%
2.8%% 2.7%%
5.0%%5.4%%
0.0%%
2.5%%
5.0%%
7.5%%
2003% 2004% 2005% 2006% 2007% 2008% 2009% 2010% 2011% 2012%
Percen
t%of%T
otal%Green
field%In
flowsto%LA
C%
Total%from%China:%Food,%Tobacco%Automo:ve%OEM%Metals%Coal,%Oil,%Natural%Gas%Communica:ons%Other%
Energy,(17.5(
Mining,(4.2(
Tourism,(2.5(
Other(Industry,(0.1(Housing(4.1(
Trade(Financing,(1.8(
DiscreBonary,(12.5(
Other(Infrastructure,(24.2(
CommunicaBons,(1.7(
TransportaBon,(12.7(
Chinese Financing: $100b (2003-‐2013) Distribu4on by sector, 2008-‐2013
Source: Gallagher et al, 2012 .
Working Group on Development and Environment
• To what extent is Chinese trade, investment and finance a driver of environment and social change in La)n America?
• To what extent are Chinese actors in LAC different in their environmental and social behavior than other foreign and domes)c firms?
• What policies can LAC governments engage at the na)onal, bi-‐lateral, and regional levels to mi)gate the costs of commodity-‐led growth.
Country Studies
Trade and finance
• Brazil-‐-‐soy • Colombia—coal • Bolivia—)n, lithium? • Argen)na—oil, shale?
Investment, trade, finance
• Peru—copper, iron • Ecuador—oil, hydro • Mexico—manufacturing, oil?
Preliminary Findings
• Chinese trade and investment is a strong new source of trade, finance, and growth for LAC
• Concentrated in primary commodity sectors – suscep)ble to boom and bust cycles – endemic to environmental degrada)on – (ohen) geographically located in indigenous areas
• Key challenge is for LAC to maximize the benefits of booms mi)gate associated risks.
LAC-‐China Trade is Different More Primary-‐based than all LAC exports, all China imports
Note: Categories are defined using Sanjaya Lall’s “Technological Classifica)on of Exports” (Lall, 2000). Source: UN COMTRADE and authors’ calcula)ons.
0.2%% 4.3%% 2.9%%13.3%%
39.7%%
63.4%%
86.4%%
56.0%%
33.7%%
0%%
10%%
20%%
30%%
40%%
50%%
60%%
70%%
80%%
90%%
100%%
LAC$Exports$to$China$ All$LAC$Exports$ All$China$Imports$
Primary%Manufactured%Other%
1.152%
1.67%
1.89%
0%
0.5%
1%
1.5%
2%
GDP% All%exports% Exports%to%China%
kg#CO2#eq
uivalent#per#USD
#
LAC-‐China Trade & GHG Emissions LAC-‐China exports are more GHG emissions-‐intensive
Source: Peters et Al 2011, UN Comtrade, authors’ calcula)ons.
102$ 108$ 112$ 118$ 124$ 129$ 127$ 133$ 139$ 143$108$
118$ 126$ 128$ 134$ 137$ 127$ 140$ 146$ 150$162$
206$ 223$252$
344$
412$453$
547$
597$
650$
100$
200$
300$
400$
500$
600$
700$
2002$ 2003$ 2004$ 2005$ 2006$ 2007$ 2008$ 2009$ 2010$ 2011$ 2012$
Inde
x:'2002=100'
Emissions$from$GDP$
Emissions$from$Exports$
Emissions$from$Exports$to$China$
LAC-‐China Trade & GHG Emissions Growth in LAC GHG Emissions, by Source
Source: Peters et Al 2011, UN Comtrade, authors’ calcula)ons.
LAC-‐China Trade & GHG Emissions Export Sectors, by GHG Intensity
Source: Peters et Al 2011, UN Comtrade, authors’ calcula)ons.
All Exports . Exports to China . Exports to R.o.W. .
2002 2012 2002 2012 2002 2012
Ranching (10.3) 1.8% 4.1% 4.4% 5.3% 1.8% 4.0%
Fossil Fuel refining /dist. (3.6) 4.7% 4.0% 0.4% 2.9% 4.8% 4.1%
Farming, forestry, fishing (2.0) 14.9% 22.3% 33.9% 27.4% 14.5% 21.9%
Metal/mineral mining (1.9) 11.0% 14.2% 30.5% 35.7% 10.6% 12.5%
Fossil fueil extrac)on (1.5) 14.2% 14.6% 0.1% 14.4% 14.5% 14.6%
Manufacturing (0.8) 52.1% 39.3% 30.3% 14.0% 52.5% 41.3%
Not specified 1.2% 1.5% 0.5% 0.3% 1.3% 1.6%
Most GHG -‐ intensive 32.5% 44.6% 69.1% 71.3% 31.7% 42.5%
13.8%&7.6%&
14.0%&0.1%&
18.0%&
20.6%&
23.5%&
20.5%&
10.2%&
6.2%&
10.3%&
31.8%&
36.4%&
31.6%&
18.0%&8.0%&
18.4%&
All&GFDI& GFDI&from&China& GFDI&from&R.o.W.&
Percen
t'of'T
otal,'200
3120
12'
Sector'(CO2/USD):'
Commerce,&bus&svcs&(0.4)&
ConstrucHon&(0.5)&
Public&administraHon&(0.8)&
Manufacturing&(0.8)&
Fossil&Fuel&Extr.&(1.5)&
Metal/mineral&mining&(1.9)&
Farming,&fishing,&forestry&(2.0)&
Transport&(2.8)&
Fossil&fuel&refining/distr.&(3.6)&
Ranching&(10.3)&
China-‐LAC GFDI & GHG Emissions By sectors (and GHG Intensity)
Source: Peters et Al 2011, FDI Markets, authors’ calcula)ons.
126.4& 126.2& 123.7& 121.4& 118.1&114.3& 112.7& 115.4& 111.9& 109.7& 108.6&
58.5& 58.9&62.5& 60.1& 59.9&
60.4& 57.3& 54.1& 53.5& 53.9& 56.4&
66.9& 68.1& 67.7& 67.3& 65.3&
57.3&52.8&
46.6& 43.7&47.4& 44.1&
0&
10&
20&
30&
40&
50&
60&
70&
80&
90&
100&
110&
120&
130&
2002& 2003& 2004& 2005& 2006& 2007& 2008& 2009& 2010& 2011& 2012&
Jobs%per%US$m%
All&economic&ac6vity&
All&exports&
Exports&to&China&
LatAm-‐China Trade & Jobs LAC-‐China exports are low in labor intensity – and falling
Source: CEPAL, WDI, UN COMTRADE, and authors’ calcula)ons.
LatAm-‐China Trade & Jobs Extrac4on supports far fewer jobs than other sectors per million USD
Source: CEPAL, WDI, UN COMTRADE, and authors’ calcula)ons.
Jobs Supported by Each Real (2002) US$1 Million in Exports:
Agriculture Extrac)on Manufacturing Argen)na 30.3 9.8 66.8 Bolivia 153.2 89.2 366.5 Brazil 76.1 0.0 146.6 Chile 57.5 30.0 59.7 Colombia 48.6 33.9 142.4 Ecuador 48.8 21.8 110.9 Mexico 70.6 1.5 54.2 Peru 80.3 36.7 113.7 La:n America 60.1 11.6 71.8
LatAm-‐China Trade & Jobs Extrac4on supports far fewer jobs than other sectors per million USD
Source: CEPAL, WDI, UN COMTRADE, and authors’ calcula)ons.
Jobs Supported by Each Real (2002) US$1 Million in Exports:
Agriculture Extrac)on Manufacturing Argen)na 30.3 9.8 66.8 Bolivia 153.2 89.2 366.5 Brazil 76.1 0.0 146.6 Chile 57.5 30.0 59.7 Colombia 48.6 33.9 142.4 Ecuador 48.8 21.8 110.9 Mexico 70.6 1.5 54.2 Peru 80.3 36.7 113.7 La:n America 60.1 11.6 71.8
LatAm-‐China Trade & Jobs Source of new export-‐related jobs, 2002-‐2012, by sector and export market
Source: CEPAL, WDI, UN COMTRADE, and authors’ calcula)ons.
World China Rest of World
Millions of Jobs: Agriculture 0.96 0.33 0.64 Mining, Extrac)on 0.63 0.19 0.44 Manufacturing 5.18 0.29 4.88 Other -‐0.02 0.00 -‐0.02 Total: 6.75 0.81 5.95 Percent of New Export-‐Related Jobs: Agriculture 14.3% 4.8% 9.5% Mining, Extrac)on 9.3% 2.7% 6.6% Manufacturing 76.7% 4.4% 72.3% Other -‐0.3% 0.0% -‐0.3% Total: 100.0% 11.9% 88.1%
Are Chinese firms different?
• Invest in different basket of commodi)es • Different and more favorable sources of finance
• Finance has weaker social and environmental norms
• May be faster learners than their counterparts in the past…
Shougang -‐ Marcona
Old and New Morococha
Burden to balance risk and reward: LAC States
• LAC na:ons have significant leverage – loca)on specific assets – China’s concern about its brand and image. – Not as much for na)ons without alterna)ves.
• LAC are struggling with the balance between growth, social concerns, and environment. – CSOs can ohen help iden)fy risk and pressure governments and firms by agenda seong and holding actors accountable.
– Commodity booms also empower ‘extrac)vist’ interest groups that can pressure government to ignore risks—busts harder to regulate.
Chinese firms/state has a role too
• China also has a role to play in mee)ng global norms for sustainability.
• Chinese state is developing guidelines for firms and finance.
• China is already engaging in many JVs to ‘learn’ on logis)cs and perhaps environmental and social issues can be an area for coopera)on as well.
• Despite weaker regula)ons and ins)tu)onal capacity in mainland China, with proper incenBves Chinese firms prove they can climb the learning curve quickly to meet norms.
• States and CSOs need to set the incen)ves right and hold the private sector accountable.
Plurilateral forums?
• Many countries are developing strong bi-‐lateral rela)onships with China and these issues need to ‘rise’ to that level.
• China has begun to engage with the BID, CELAC, CEPAL and other sub-‐regional forums such as Mercosur. Are these ‘entry points’ for policy dialogue?
• Transna)onal CSO advocacy networks
Peru as Laboratory
Peru is ahead • EITI • EIAs with community • ILO 169 • CSO accountability and
transna)onal networks • Chinalco model? • UP Centro Estudios Peru-‐
China
Peru is Behind • Managing booms and busts
– Stabiliza)on funds, SWF?
• Incen)vizing complimentary economic ac)vity to mining – Development banking? – Trade agreements
• Building human capital – China experts, coopera)on with Chinese firms and government on educa)on
THANK YOU