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FOREIGN DIRECT INVESTMENT AND PRODUCTIVITY
                 SPILLOVERS:
Firm Level Evidence from Chilean industrial sector        .
         Leopoldo Laborda          Daniel Sotelsek
 University of Alcalá (Spain)   University of Alcalá (Spain)
  llabordacastillo@gmail.com     daniel.sotelsek@uah.es
Introduction
This paper tries to cover:

1.   The added efficiency (productivity of the factors)

2.   Spillovers from foreign direct investment (FDI) make contribution to productivity growth.

     Hypothesis:
a) Higher competition is associated with larger spillovers from foreign presence in the industry,
      that is, positive productivity through competition.

b) Firms with R&D expenditure gain more productivity spillovers from FDI than those without
      R&D expenditure

c) There is a positivity productivity spillover from FDI

d) There are positive FDI spillovers to each component of productivity growth (TEC, TP, and
     SEC).


                       In this situation one important questions is:
                       does FDI lead to productivity spillovers?
Methodology


 Stochastic frontier approach to estimate FDI productivity spillovers in Chilean
 manufacturing firms.

 Apply the method of Data Envelopment Analysis (DEA) and compute the Malmquist
 index to decompose total factor productivity (TFP) growth into technical efficiency
 change (TEC), technological progress (TP), and scale efficiency change (SEC).




 a) Deterministic frontier production functions: the stochastic frontier-inefficiency model.



 b) Decomposing productivity growth: a generalized Malmquist index

                  G0,it +1 = TEC ti ,t +1 + TPit ,t +1 + SEC ti ,t +1
                   t
                                                                        [7]

The statistical source used for this analysis is the World Bank’s Enterprise Surveys (ES).
Empirical Results

  Chile has been considered as a clasicc emergemt country for 2 reasons_

  a)   Rate of economic growth during 15 years was very high (5%)

  b)   The added value generated by the chilean industry (important differences betwen sectors)



   When observing the whole of the Chilean industry, one can observe very similar
   behaviors, during the studied periods, in the levels of technical efficiency achieved. In
   this context, the betterment potential (ease) in the use of their productive inputs is
   close to 53 %.
Empirical Results

  Competition, absorptive capacity and productivity spillovers.
In this section hypotheses a) and b) are tested

 A test of first hypothesis (see table 8) includes a spillover variable, competition
variable (HHI) and an interacting variable of spillover and HHI.

A test of second hypothesis (see table 9) includes a spillover variable, R&D effort
and an interacting variable of R&D effort and spillover in order to evaluate the
absorptive capacity of spillovers in the industry.
                                                          The negative and significant coefficient on
  The positive and highly significant coefficients        the spillover variable (spillover) in Models
 confirm the expected positive and significant            1, 2, 3 and 4 in Table 9 implies a positive and
                                                          significant efficiency spillover in the Chilean
 output effects of labor and capital
                                                          industrial sectors
The coefficient of the research and development dummy      The negative coefficient of the
(R&D) is positive and significant at the 1%                interacting variable between R&D
level, suggesting that firms with high R&D effort, on
                                                           and spilloverssuggests that firms
average, have lower efficiencies compared to those with
low R&D effort.                                            with high R&D effort gain more
                                                           spillovers from foreign firms
Empirical Results

Sources of productivity growth and FDI spillovers


Table 10 shows that the major contribution to productivity growth in
the Chilean industrial sectors is from technological progress and for
technological efficiency change (with the exception of Biotechnology
sector). In contrast, the SEC indices are relatively low, suggesting that
this component do not contribute much to productivity growth.




        A positive and significant estimate is found for R&D effort, which indicates that
        firms with high R&D effort have higher SEC than those with R&D effort.
Conclusions

                  The intra-industry productivity spillovers are
                  examined through the spillover variable, and
                  the roles of competition and R&D in
                  extending spillovers from FDI are evaluated to
                  test a channel of productivity spillovers.




 Authors like Suyanto et al (2009) suggests that policies for strengthening the absorptive capacity of
  domestic firms through investing in knowledge and human capital formation may be superior to
                               policies that provide concessions for FDI.

 In this context more general policies should be pursued, which not only attract FDI but also benefit
     domestic firms, for example, build modern infrastructure, increasing and strengthening the
                    institutions for accelerating and sustaining economic growth.

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FOREIGN DIRECT INVESTMENT AND PRODUCTIVITY SPILLOVERS

  • 1. FOREIGN DIRECT INVESTMENT AND PRODUCTIVITY SPILLOVERS: Firm Level Evidence from Chilean industrial sector . Leopoldo Laborda Daniel Sotelsek University of Alcalá (Spain) University of Alcalá (Spain) llabordacastillo@gmail.com daniel.sotelsek@uah.es
  • 2. Introduction This paper tries to cover: 1. The added efficiency (productivity of the factors) 2. Spillovers from foreign direct investment (FDI) make contribution to productivity growth. Hypothesis: a) Higher competition is associated with larger spillovers from foreign presence in the industry, that is, positive productivity through competition. b) Firms with R&D expenditure gain more productivity spillovers from FDI than those without R&D expenditure c) There is a positivity productivity spillover from FDI d) There are positive FDI spillovers to each component of productivity growth (TEC, TP, and SEC). In this situation one important questions is: does FDI lead to productivity spillovers?
  • 3. Methodology Stochastic frontier approach to estimate FDI productivity spillovers in Chilean manufacturing firms. Apply the method of Data Envelopment Analysis (DEA) and compute the Malmquist index to decompose total factor productivity (TFP) growth into technical efficiency change (TEC), technological progress (TP), and scale efficiency change (SEC). a) Deterministic frontier production functions: the stochastic frontier-inefficiency model. b) Decomposing productivity growth: a generalized Malmquist index G0,it +1 = TEC ti ,t +1 + TPit ,t +1 + SEC ti ,t +1 t [7] The statistical source used for this analysis is the World Bank’s Enterprise Surveys (ES).
  • 4. Empirical Results Chile has been considered as a clasicc emergemt country for 2 reasons_ a) Rate of economic growth during 15 years was very high (5%) b) The added value generated by the chilean industry (important differences betwen sectors) When observing the whole of the Chilean industry, one can observe very similar behaviors, during the studied periods, in the levels of technical efficiency achieved. In this context, the betterment potential (ease) in the use of their productive inputs is close to 53 %.
  • 5. Empirical Results Competition, absorptive capacity and productivity spillovers. In this section hypotheses a) and b) are tested A test of first hypothesis (see table 8) includes a spillover variable, competition variable (HHI) and an interacting variable of spillover and HHI. A test of second hypothesis (see table 9) includes a spillover variable, R&D effort and an interacting variable of R&D effort and spillover in order to evaluate the absorptive capacity of spillovers in the industry. The negative and significant coefficient on The positive and highly significant coefficients the spillover variable (spillover) in Models confirm the expected positive and significant 1, 2, 3 and 4 in Table 9 implies a positive and significant efficiency spillover in the Chilean output effects of labor and capital industrial sectors The coefficient of the research and development dummy The negative coefficient of the (R&D) is positive and significant at the 1% interacting variable between R&D level, suggesting that firms with high R&D effort, on and spilloverssuggests that firms average, have lower efficiencies compared to those with low R&D effort. with high R&D effort gain more spillovers from foreign firms
  • 6. Empirical Results Sources of productivity growth and FDI spillovers Table 10 shows that the major contribution to productivity growth in the Chilean industrial sectors is from technological progress and for technological efficiency change (with the exception of Biotechnology sector). In contrast, the SEC indices are relatively low, suggesting that this component do not contribute much to productivity growth. A positive and significant estimate is found for R&D effort, which indicates that firms with high R&D effort have higher SEC than those with R&D effort.
  • 7. Conclusions The intra-industry productivity spillovers are examined through the spillover variable, and the roles of competition and R&D in extending spillovers from FDI are evaluated to test a channel of productivity spillovers. Authors like Suyanto et al (2009) suggests that policies for strengthening the absorptive capacity of domestic firms through investing in knowledge and human capital formation may be superior to policies that provide concessions for FDI. In this context more general policies should be pursued, which not only attract FDI but also benefit domestic firms, for example, build modern infrastructure, increasing and strengthening the institutions for accelerating and sustaining economic growth.