Profitability and Ownership Structure of US Foreign Ventures Why US - - PowerPoint PPT Presentation

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Profitability and Ownership Structure of US Foreign Ventures Why US - - PowerPoint PPT Presentation

Profitability and Ownership Structure of US Foreign Ventures Why US Joint Ventures Abroad Are Less Profitable Than Wholly Owned Ventures Ben Gomes-Casseres Mauricio Jenkins Peter Zmborsk Low profitability of US JVs abroad ! US


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Profitability and Ownership Structure of US Foreign Ventures

Why US Joint Ventures Abroad Are Less Profitable Than Wholly Owned Ventures Ben Gomes-Casseres Mauricio Jenkins Peter Zámborský

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SLIDE 2

Low profitability of US JVs abroad

! US manufacturing joint ventures abroad earned an average 3% return

  • n assets in 1977-2003

! Wholly-owned manufacturing affiliates earned 6.4% ROA

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SLIDE 3

Profitability Gap, 1977-2003

Manufacturing

  • 2.0%

0.0% 2.0% 4.0% 6.0% 8.0% 10.0% 12.0% 1975 1980 1985 1990 1995 2000 2005

Majority Minority Gap

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SLIDE 4

Possible explanations for gap

We tested for: ! Size ! Age ! Tax rates ! Non-dividend payments ! MNC’s ownership-specific capabilities

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Stylized facts emerging from data

  • 1. There is a positive gap on average
  • 2. It is largest in sectors where US MNCs

are most competitive abroad

  • 3. The gap shrinks over time on average
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SLIDE 6

Related academic literature

! Desai, Foley and Hines (2004) found sharply declining propensity of US MNEs to form JVs abroad ! They focus on the determinants of

  • wnership structure to explain this
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SLIDE 7

Declining use of JVs by US MNEs

Share of JVs on Total No. of US Foreign Ventures

0% 20% 40% 60% 80% 100% 1982 1989 1994 1997 Other JV Share

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SLIDE 8

Does globalization reduce rationale for international alliances and JVs?

! Globalization reduces trade barriers and communications costs, making international alliances more attractive ! On the other hand, it also increases the return to coordinating operations within multinational firms

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SLIDE 9

Profitability Determinants Neglected

! Desai finds return on assets (ROA) is decreasing function of foreign tax rates ! Controls: affiliate leverage, sales, country GDP and GDP per capita ! They don’t perform any further analysis of ROA determinants

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Profitability Gap Not Explored Yet

! Desai et al did not uncover the profitability gap between wholly and partially owned ventures ! Neither did other researchers

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Profitability Gap Defined

! Profitability—Net Income/Net Assets ! Wholly-owned—majority-owned ventures, 90% of them are 100%

  • wned

! Joint Ventures— All affiliates minus majority-owned Includes 50-50 JVs, which account for about 54% of JV affiliates

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Preview of data

! Source: US Bureau of Economic Analysis ! 1977 and 1982-2003 ! Non-bank affiliates of non-bank parents ! Industry level, 25 three-digit sectors ! 2 & 1 digit sectors, countries, regions ! Avg. no. of wholly owned foreign ventures in manufacturing: 6,349 ! No. of foreign manufacturing JVs: 856

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Profitability Gap, 1977-2003

Manufacturing

  • 2.0%

0.0% 2.0% 4.0% 6.0% 8.0% 10.0% 12.0% 1975 1980 1985 1990 1995 2000 2005

Majority Minority Gap

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SLIDE 14

Questions about ROA Gap

! Where and when is it positive? ! In which sectors, countries, regions? ! Where and when is it negative? ! Why is it positive/negative? ! Is it shrinking? Growing? Where?

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Top and Bottom 3 Sectors by Gap

  • 4.9

Soap, cleaners and toilet goods

  • 3.0

Lumber, wood and furniture

  • 2.1

Paper and allied products 5.4 Beverages 5.8 Electronic components etc 8.7 Office machines, computers ROA Gap Sector (3-digit classification)

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  • 68.4%
  • 4.9%

12.1% 7.2% Soap, cleaners and toilet goods

  • 91.7%
  • 3.0%

6.3% 3.3% Lumber, wood, furniture and fixtures

  • 44.6%
  • 2.1%

6.8% 4.7% Paper and allied products

  • 14.7%
  • 1.7%

12.9% 11.3% Tobacco products

  • 21.6%
  • 1.2%

6.5% 5.3% Glass products

  • 23.4%
  • 1.0%

5.2% 4.2% Textile products and apparel

  • 9.5%
  • 0.6%

6.9% 6.3% Miscellaneous plastics products

  • 6.3%
  • 0.3%

4.4% 4.1% Household appliances

  • 5.1%
  • 0.2%

4.6% 4.4% Ferrous

  • 0.4%

0.0% 3.0% 3.0% Nonferrous 1.0% 0.1% 5.9% 5.9% Printing and publishing 9.3% 0.5% 4.9% 5.4% Industrial chemicals and synthetics 24.3% 1.4% 4.3% 5.6% Stone, clay, nonmetallic mineral goods 68.8% 1.7% 0.8% 2.4% Construction and mining machinery 26.4% 1.9% 5.3% 7.2% Grain mill and bakery products 37.4% 1.9% 3.1% 5.0% Fabricated metal products 40.2% 2.2% 3.2% 5.4% Rubber products 22.2% 2.5% 8.9% 11.4% Drugs 74.4% 3.1% 1.1% 4.1% Motor vehicles and equipment 56.9% 3.3% 2.6% 6.1% Agricultural chemicals 55.7% 3.5% 2.8% 6.3% Radio, TV and telecom equipment 63.1% 4.7% 2.8% 7.5% Instruments and related products 48.8% 5.4% 5.7% 11.0% Beverages 78.3% 5.8% 1.6% 7.4% Electronic components & accessories 90.0% 8.7% 1.0% 9.7% Office and computing machines

GAP AS % OF MAJ ROA %-POINT ROA GAP ROA MIN. OWNED ROA MAJ. OWNED SECTOR (3-DIGIT)

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SLIDE 17

Gap positive, falling in most sectors

Office and Computing Machines

  • 20.00%
  • 15.00%
  • 10.00%
  • 5.00%

0.00% 5.00% 10.00% 15.00% 20.00% 25.00% 30.00% 35.00% 1975 1980 1985 1990 1995 2000 2005

Majority Minority % Pt Gap

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But in some stays stable, negative

Soaps and Toiletries

  • 25.00%
  • 20.00%
  • 15.00%
  • 10.00%
  • 5.00%

0.00% 5.00% 10.00% 15.00% 20.00% 25.00% 30.00% 1975 1980 1985 1990 1995 2000 2005

Majority Minority % Pt Gap

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Gap close to zero in some countries

United Kingdom

  • 15.0%
  • 10.0%
  • 5.0%

0.0% 5.0% 10.0% 15.0% 1975 1980 1985 1990 1995 2000 2005

Maj Min Gap

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Some regions are closing the gap

Asia and Pacific

  • 5.0%

0.0% 5.0% 10.0% 15.0% 1975 1980 1985 1990 1995 2000 2005

Maj Min Gap

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Theoretical Explanation: Ownership-specific capabilities

! Ownership-specific capabilities of MNE ! Reflect competitive advantage of MNE compared to local rivals abroad

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Determinants

  • f ownership and profitability

! If the ownership-specific capabilities are strong, MNE likely to choose whole ownership, profits high ! If they are weak, MNE likely to seek additional capabilities from local firm, profits likely to be lower

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SLIDE 23

Investment projects or Capital invested Return to the firm

Cost of capital 1 2 3 4 5 6 7 8 9 10 11 12 Marginal return to capital (MRC) Projects done Projects not done

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MRC

MRCMNC MRCLocal

Extent of competitive advantage

  • f MNC

Capital Invested

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SLIDE 25

1 2 3 4 5 6 7 8 9 ix viii vii vi v iv iii ii i MRC MNC MRC Local MNC projects Local firm projects

Cost of capital for MNC

D F

DFJV

E G

EGJV A WO B WO C WO

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SLIDE 26

Measures

  • f ownership-specific capabilities

! Should reflect international competitive advantage of MNE/industry ! Sales of US corporations abroad/ Sales of US corporations in the US ! Sales of US firms abroad/ Sales of all firms in the US ! Sales data from BEA and Census of US Manufacturers

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Foreign Sales of US Firms/US Sales in their Sector

0% 20% 40% 60% 80% 100% Office and computing machines Beverages Electronic components and accessories Paper and allied products Textile products and apparel Ferrous Average 1991-00 1983-90

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Sectors with largest gap have largest ratio of foreign/US sales

57% 3.9% Motor vehicles, equipment 23% 4.2% Radio, TV, communications 20% 4.4% Instruments 34% 4.6% Electronic components 31% 6.3% Beverages 89% 8.6% Office machines, computers US FSales/ US Sales Avg ROA Gap 1983-2000 Industry 3-digit

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Sectors with lowest gap have lowest ratio of foreign/US sales

12% 1.1% Stone, clay and glass 17% 0.7% Rubber and plastics 9% 0.2% Nonferrous 3%

  • 0.3%

Ferrous 10%

  • 0.5%

Textiles and apparel 16%

  • 1.6%

Paper and allied products US FSales/ US Sales Avg ROA Gap 1983-2000 Industry 3-digit

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SLIDE 30

Correlation between the Gap and the sales ratios is 0.30

! Sales of US firms abroad/ Sales of all firms in the US … Correlation Coefficient=0.30 ! Sales of US corporations abroad/ Sales of US corporations in the US … Correlation Coefficient=0.30

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Limitations of sales ratios as measures of intl. comp. advantage

! Foreign/domestic asset ratios would be perhaps more appropriate ! Foreign/domestic sales ratio has been rising in all sectors, while the gap has been shrinking in most sectors

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Limitations of data

! Small number of observations for JVs, particularly for 3-digit sectors ! Small number of industry-level data points, no access to firm level data

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Tests for stat significance of gap

! T-test for stat significance of gap estimates confirms results for most 1 & 2 digit sectors ! Only mining, fabricated metals insignificant ! Many 3-digit sectors have < than 20 JVs

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1-digit industries, 1977-2003

3.4%** 7,192 327 Finance

  • 0.1

76 15 Mining 2.0%** 937 76 Services 3.4%** 6,349 856 Manufacturing 42.4%** 1,726 320 Petroleum 1.0%** 23,201 1,911 All industries Gap # Other # JVs

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3-digit industries, 2003

127 13 Textiles 353 10 Electronic components 596 51 Motor vehicles 117 3 Office machines, comps 337 16 Soaps, toiletries 423 12 Drugs # Other # JVs

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Future econometric tests:

Dependent variable: ROA Explanatory variables: ! Sales ratio ! Partial ownership (JV) dummy ! JV dummy interacted with sales ratio ! Full ownership (FO) dummy ! FO dummy interacted with sales ratio ! Country/industry, year fixed effects ! Controls

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Other possible explanations for gap

We tested for: ! Size ! Age ! Tax rates ! Non-dividend payments Other ideas? ! Policy changes

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Postscript: JVs in India and China

! Wall Street Journal reported on the troubles of international JVs in India ! China Business Online reports on the declining numbers of JVs in China

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Causes of falling JV numbers in India

! Less government restrictions ! Differences between partners ! Clashes over expansion plans ! Competing interests of firms

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Declining use of JVs in China

Share of JVs on FDI flows to China

0.00% 20.00% 40.00% 60.00% 80.00% 100.00% 120.00% 2000 2001 2002 2003 2004 Other JVs