(14) Equations {1/3} and {2/3} describe the theoretical latent
model. Although we do not observe the latent variables (prod_inn)* and
(proc_inn)*, we observe the categorical prod_inn and proc_inn. Thus, for
instance, when we observe prod_inn=2 we could infer that the latent
variable (prod_inn)* falls somewhere between threshold parameters that,
together with the a coefficients are estimated by maximum likelihood.
(15) A Random Effects Model estimated by GLS is consistent and
efficient if the time-invariant cross-section specific effect is
uncorrelated with the explanatory variables (Crespi, 2002) that is if ,
one can test for that using a Hausman test that specifies this equation
as the null hypothesis of the test. Thus, when the test is not rejected
one is allowed to use random effects models (GLS). Otherwise, a fixed
effect models should be adopted. However, the panel available used here
has a very large N and a small T, with T being so small that makes fixed
effect models unfeasible. Then, I needed to stick to GLS results even
thought the Hausman test was not passed (see Table 3). As a consequence
the coefficients may be biased and/or inconsistent. Having said this, it
is worth noting that the sizes and signs of the coefficient do not vary
dramatically across the three different specifications of Model 1 (Table
3). The stability in coefficients arguably enhances the robustness of
the results.
(16) These results may be explained by the way productivity was
measured here. It might be the case that using sales to measure
productivity biases the association against process and towards product
and management, given that the latter could be claimed to be more
market-driven-types of activities.
(17) This latter result might be highly influenced by the way of
defining (and measuring) the variables.
VALERIA ARZA
SPRU (Science and Technology Policy Research)
University of Sussex
Freeman Centre, Falmer
Brighton, United Kingdom
TABLE 1: INDICATORS ON GDP VOLATILITY
Annual
cumulative Annual Standard
Country Period rate average rate Deviation
Argentina 1930-2002 2.24 2.28 5.09
US 1930-2002 3.58 3.53 5.25
Argentina 1950-2002 2.00 2.11 5.11
US 1950-2002 3.37 3.49 2.43
Argentina 1950-2000 2.41 2.49 4.77
US 1950-2000 3.45 3.58 2.43
Negative
Coefficient of growth
Country Variation probability
Argentina 2.24 33%
US 1.49 22%
Argentina 2.42 35%
US 0.69 13%
Argentina 1.91 32%
US 0.68 14%
Source: Author's calculation based on Argentinean National
Institute of Statistics and Financial Statistics from the IMF.
TABLE 2.1: SUMMARY STATISTICS FOR ALL FIRMS, PERIOD 1992 & 1996
(THOUSANDS OF PESOS)
All firms with information for both periods
Difference
Year 1992 Year 1996 1996-1992
mean median mean median mean Sig
N FIRMS 1,533 1,533
Price Index 98.42 106.41 7.99
IPIB 1993=100
Total Sales (S) 22710 6762 30767 7668 8057 ***
Sales of Goods 20678 6283 27461 6816 6783 ***
Produced inisde
the firms (SFG)
Sales of Unmodified 2031 0 3305 0 1274 *
Goods (SUG)
Sales over 98 64 127 80 29 ***
employment (S/EMP)
Total Investment (IFA) 887 66 1499 90 613 ***
Investment over 7.58% 0.97% 13.04% 1.19% 5.46%
sales (IFA/S)
R&D (RD) 32.77 0.00 47.98 0.00 15 *
R&D intensity (RD/S) 0.16% 0.00% 0.20% 0.00% 0.04%
Export coefficient (E/S) 6.43% 0.00% 8.96% 0.40% 2.53% ***
Import coefficient (M/S) 8.04% 0.85% 9.87% 2.44% 1.83% **
Openess coefficient 14.48% 3.94% 18.83% 8.43% 4.35% ***
((EX+IM)/S)
Sales of Unmodified 6.66% 0.00% 8.34% 0.00% 1.68% **
Goods over
Sales (SUG/S)
Import of Final 1.48% 0.00% 2.02% 0.00% 0.54% **
Goods over
Sales (MFG/S)
Import of Capital 1.48% 0.00% 1.91% 0.00% 0.43%
Goods over
Sales (MKG/S)
Product innovation 1.81 2.00 1.81 2.00
Results: Likert
scale 0-5
Process innovation 1.12 1.00 1.12 1.00
Results: Likert
scale 0-3
Innovation in 3.64 4.00 3.64 4.00
Management
Results: Likert
scale 0-7
All firms with
information
for both periods
Percentual
Difference
1996/1992
mean
N FIRMS
Price Index 8.1%
IPIB 1993=100
Total Sales (S) 35.5%
Sales of Goods 32.8%
Produced inisde
the firms (SFG)
Sales of Unmodified 62.7%
Goods (SUG)
Sales over 29.4%
employment (S/EMP)
Total Investment (IFA) 69.1%
Investment over 72.0%
sales (IFA/S)
R&D (RD) 46.4%
R&D intensity (RD/S) 25.0%
Export coefficient (E/S) 39.3%
Import coefficient (M/S) 22.8%
Openess coefficient 30.0%
((EX+IM)/S)
Sales of Unmodified 25.2%
Goods over
Sales (SUG/S)
Import of Final 36.5%
Goods over
Sales (MFG/S)
Import of Capital 29.1%
Goods over
Sales (MKG/S)
Product innovation
Results: Likert
scale 0-5
Process innovation
Results: Likert
scale 0-3
Innovation in
Management
Results: Likert
scale 0-7
*** Significant at 1%; ** Significant at 5%; * Significant at 10%.
Source: Author's calculation based on The Survey
TABLE 2.2: SUMMARY STATISTICS ACROSS FIRM TYPOLOGIES, AVG. 1992-1996
(THOUSANDS OF PESOS)
Nationality
National Foreign Difference
mean median mean median mean Sig
N FIRMS 1316 313
Total Sales (S) 17140 5162 69763 28582 -52623 ***
Sales over employ- 100.16 63.71 184.77 126.72 -85 ***
ment (S/EMP)
Total Investment 938 71 2747 828 -1809 ***
(IFA)
Investment over 10.36% 1.54% 4.72% 2.05% 5.64%
sales (IFA/S)
R&D (RD) 25.43 0.00 127.60 0.00 -102 ***
R&D intensity 0.20% 0.00% 0.20% 0.00% 0.00%
(RD/S)
Export coeffi- 6.65% 0.00% 12.51% 3.67% -5.86% ***
cient (E/S)
Import coeffi- 6.50% 1.29% 17.59% 12.90% -11.09% ***
cient (M/S)
Openess coefficient 13.16% 4.66% 30.10% 22.81% -16.94% ***
((EX+IM)/S)
Sales of Unmodified 7.20% 0.00% 10.34% 0.88% -3.14% ***
Goods over
Sales (SUG/S)
Import of Final 1.01% 0.00% 4.86% 0.00% -3.85% ***
Goods over
Sales (MFG/S)
Import of Capital 1.33% 0.00% 2.36% 0.58% -1.03% **
Goods over
Sales (MKG/S)
Product innovation 1.62 1.00 2.50 2.00 -0.89 ***
Results: Likert
scale 0-5
Process innovation 1.01 1.00 1.54 2.00 -0.53 ***
Results: Likert
scale 0-3
Innovation in 3.33 4.00 4.73 5.00 -1.40 ***
Management
Results: Likert
scale 0-7
Group Affiliation
Independent Group Difference
mean median mean median mean Sig
N FIRMS 1194 415
Total Sales (S) 14710 4423 63025 20833 -48314 ***
Sales over employ- 98.91 63.09 167.61 118.78 -69 ***
ment (S/EMP)
Total Investment 733 64 2623 590 -1890 ***
(IFA)
Investment over 10.62% 1.50% 5.05% 2.14% 5.57%
sales (IFA/S)
R&D (RD) 21.12 0.00 109.25 0.00 -88 ***
R&D intensity 0.20% 0.00% 0.22% 0.00% -0.02%
(RD/S)
Export coeffi- 6.86% 0.04% 10.49% 2.47% -3.63% ***
cient (E/S)
Import coeffi- 6.73% 1.30% 14.25% 8.59% -7.52% ***
cient (M/S)
Openess coefficient 13.59% 4.91% 24.75% 17.19% -11.16% ***
((EX+IM)/S)
Sales of Unmodified 7.66% 0.00% 7.97% 0.00% -0.31%
Goods over
Sales (SUG/S)
Import of Final 1.18% 0.00% 3.42% 0.00% -2.24% ***
Goods over
Sales (MFG/S)
Import of Capital 1.26% 0.00% 2.26% 0.53% -1.00% **
Goods over
Sales (MKG/S)
Product innovation 1.58 1.00 2.39 2.00 -0.82 ***
Results: Likert
COPYRIGHT 2005 eContent Management Pty
Ltd. Reproduced with permission of the copyright holder. Further reproduction or distribution is prohibited without permission.
Copyright 2005, Gale Group. All rights
reserved. Gale Group is a Thomson Corporation Company.
NOTE: All illustrations and photos have been removed from this article.