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Title: Outsourcing, Productivity, and Input Composition at the Plant Level


1
Outsourcing, Productivity, and Input Composition
at the Plant Level
  • Catherine J. Morrison Paul and Mahmut Yasar

World Congress, Washington D.C., May 2008
2
Make-or-Buy
  • It is the maxim of every prudent master of a
    family, never to attempt to make at home what it
    will cost him more to make than to buy. Smith
    (1776, pp.485-486)
  • quite apart from the question of diminishing
    returns the costs of organizing certain
    transactions within the firm may be greater than
    the costs of carrying out the exchange
    transactions in the open market. Coase (1937,
    pp. 7-8)

3
Productivity drivers
  • Firms productivity depends on their potential to
    minimize production costs by substituting among a
    variety of inputs
  • Studies used to focus on value added capital
    and labor inputs but now recognize substitution
    of processed (materials) for processing (capital
    and labor) inputs
  • More generally, input choices include purchasing
    rather than producing goods and services (implies
    outsourcing or subcontracting)
  • Affects the productivity competitiveness of
    outsourcing firms

4
Outsourcing drivers
  • Firms would be expected to use their own inputs
    for activities they have a comparative advantage
    for and outsource others
  • Roodhooft and Warlop (1999)
  • A firms comparative advantage depends on trade,
    price, and technical conditions
  • E.g., import competition from lower wage
    countries encourages foreign outsourcing,
    reducing the wages of less skilled laborers
  • Feenstra and Hanson (1999, 2003), Hanson et al.
    (2005)
  • In reverse, lower wage countries may subcontract
    output
  • Both specialized tasks and lower
    productivity/skill processes may be outsourced to
    other domestic or foreign firms

5
Our goal
  • We explore how outsourcing or subcontracting is
    related to plant productivity and input
    composition/substitution
  • from the perspective of a developing country
  • We consider the productivity effects of
  • domestic outsourcing, through the share of inputs
    that are subcontracted
  • receiving contracts, through the share of output
    that is subcontracted
  • foreign outsourcing, through the share of
    imported intermediate inputs
  • represented as production frontier shifts and
    twists
  • from diff shares of subcontracted inputs/outputs
    or imported materials
  • and find this aspect of input choice important to
    recognize

6
Literature
  • Outsourcing/subcontracting has not been a focus
    of the production literature
  • But some studies suggest (domestic or foreign)
    outsourcing results if producing inputs or
    services in-house is at least as costly as
    subcontracting them
  • Involves two types of costs
  • production costs labor costs, scale economies,
    clustering of special skills or expertise, or
    production smoothing
  • transactions costs negotiating, monitoring, and
    enforcing contracts, or searching for outside
    suppliers
  • Also may be benefits from foreign technology
    transfer through outsourcing
  • importing RD embodied in materials/capital
    imports and learning from their use (input
    subcontracting through input imports)
  • FDI/exports increased demand for exports from
    host country suppliers (output subcontracting)

7
Data output and inputs
  • Plant data collected by the State of Statistics
    in Turkey for the Annual Surveys of Manufacturing
    Industries
  • International Standard Industrial Classification,
    Apparel Textiles
  • Output (Y) total value of shipments plus changes
    in inventories of finished goods and
    work-in-progress
  • Material (M) expenditures, allowing for changes
    in stocks
  • Energy (E) value of fuelelectricity
  • Y,M and E nominal values are divided by
    corresponding price deflators to get constant
    value quantities at 1987 prices
  • Labor input (LT and LN) technical and
    administrative workers, production workers
  • Capital (K) perpetual inventory method using
    gross investment data
  • Seven regions distinguished

8
Data outsourcing and technology transfer
  • Our domestic outsourcing variables are
  • subcontracted input (the share of a plants
    inputs subcontracted to supplier plants, in total
    inputs)
  • subcontracted output (the share of output
    subcontracted by other plants, in total output)
  • Klicaslan and Taymaz (2005)
  • Our foreign outsourcing variable is
  • the share of imported materials in total
    materials use
  • Our foreign technology transfer variables
    include
  • the share of exports in total sales
  • the share of foreign firm ownership (FDI)

9
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10
Empirical framework
  • First look at premia/correlations
  • for Pit performance indicators (ttime and
    iplant)
  • labor productivity (LProd), wage, employment,
    skilled labor, and capital intensity
  • O/Sjit (jSUBI, SUBO, IMPM)
  • Dregional (r) and time (t) dummies and EMPsize
  • Estimate

11
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12
Econometric Framework
  • We assume that the plant production function Y
    f(X,r,t) can be represented by a translog
    approximation
  • where Xj ( j K,LT,LN,E,M) is the jth input, the
    rm include the O/S, technology transfer,
    characteristics and dummy variables
    distinguishing the plants, and ? is a error term
  • Use Olley and Pakes (OP) method to estimate

13
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14
SUBI Results
  • ßSUBI is positive and significant (at 10)
  • positive first order productivity effect of SUBI
  • ßLT,SUBI is positive and significant (at 1)
  • a strong positive LT bias
  • a higher share of subcontracted inputs implies
    greater administrative and technical (skilled)
    labor intensity
  • ßLN,SUBI is significantly negative (at 5)
  • more SUBI is associated with less use of
    unskilled labor
  • SUBI substantively affects only the labor shares
  • all other cross-effects are insignificant
  • The positive SUBI output elasticity is driven
    entirely by the positive first-order and LT
    effects

15
Interpretation
  • SUBI-LT complementarity and SUBI-LN
    substitutability
  • implies that subcontracting inputs reduces
    in-house production of lower-productivity and
    -skill activities or processes or services
  • e.g., those provided by unskilled production line
    workers or janitorial workers
  • rather than services of skilled workers
  • e.g., legal or accounting services
  • Perhaps because input subcontracting requires
    administrative and technical expertise due to
    greater required supervision or support of
    contractors.

16
SUBO Results
  • By contrast, more SUBO implies significantly less
    reliance on skilled labor (LT)
  • implies subcontract-receiving plants are more
    low-tech
  • SUBO is also associated with lower M levels
  • suggests more use of lower value primary rather
    than processed materials
  • but a greater energy share
  • perhaps required for the additional processing
  • The lower M and LT levels for subcontract-receivin
    g plants underlie the negative SUBO output
    elasticity.

17
IMPM Results
  • More IMPM also implies lower (but not sig)
    domestic materials and skilled labor use
  • The only sig IMPM bias is a positive E effect
  • The dominant effect of IMPM is therefore from the
    first order coefficient bIMPM
  • imports have little effect on input composition
  • the primarily negative input biases are too small
    to counteract the strong positive overall effect

18
Tech Trans Results,
  • Linkages of trade factors with O/S vary by
    mechanism
  • no significant productive relationships between
    SUBI and EXP, FDI, IMPM
  • but effects between SUBO and trade variables are
    sig
  • with EXP is negative, and with FDI and IMPM
    positive
  • IMP or FDI firms do not have as low productivity
    as other SUBO plants, but EXP firms actually have
    worse productivity
  • conversely, the productive contributions of trade
    factors are smaller for EXP and larger for IMP or
    FDI plants with SUBO
  • a higher EXP share is associated with a lower LN
    share
  • supports that internationally best practice
    production requires more skilled and less
    unskilled workers
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