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THE PRODUCTIVITY OF SCIENCE: A CROSS COUNTRY ANALYSIS By G. Crespi and A. Geuna SPRU-University of Sussex Workshop on Measuring the Impact of Science INRS; Montreal - 17-18 June , 2004

THE PRODUCTIVITY OF SCIENCE: A CROSS COUNTRY ANALYSIS By G. Crespi and A. Geuna SPRU-University of Sussex Workshop on Measuring the Impact of Science INRS;

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Page 1: THE PRODUCTIVITY OF SCIENCE: A CROSS COUNTRY ANALYSIS By G. Crespi and A. Geuna SPRU-University of Sussex Workshop on Measuring the Impact of Science INRS;

THE PRODUCTIVITY OF SCIENCE: A CROSS COUNTRY ANALYSIS

By

G. Crespi and A. Geuna SPRU-University of Sussex

Workshop on Measuring the Impact of Science  

INRS; Montreal - 17-18 June , 2004

Page 2: THE PRODUCTIVITY OF SCIENCE: A CROSS COUNTRY ANALYSIS By G. Crespi and A. Geuna SPRU-University of Sussex Workshop on Measuring the Impact of Science INRS;

Structure of the presentation

The economic impact of public research; The productivity of science; First results of the cross country analysis:

– Lag structure;– Spillovers;

A first look to relative productivity changes; Conclusions.

Page 3: THE PRODUCTIVITY OF SCIENCE: A CROSS COUNTRY ANALYSIS By G. Crespi and A. Geuna SPRU-University of Sussex Workshop on Measuring the Impact of Science INRS;

The economic impact of scientific research

Contribution of scientific research to industrial innovation: Jaffe, 1989; Mansfield, 1991; Narin, Hamilton, & Olivastro, 1997; Klevorick et al., 1995;

Contribution of scientific research to productivity growth: Adams (1990);

University-industry relationships; Technology Transfer and IPR.

Page 4: THE PRODUCTIVITY OF SCIENCE: A CROSS COUNTRY ANALYSIS By G. Crespi and A. Geuna SPRU-University of Sussex Workshop on Measuring the Impact of Science INRS;

The Productivity of science

The productivity of science:– Adams & Griliches (1996;1998)

Science funding and research outputs:1. Time lag structure;

2. National returns and International spillovers;

3. TFP ~ catching up or falling behind.

Page 5: THE PRODUCTIVITY OF SCIENCE: A CROSS COUNTRY ANALYSIS By G. Crespi and A. Geuna SPRU-University of Sussex Workshop on Measuring the Impact of Science INRS;

A cross country analysis 1

Data:– 14 countries;– 1981-2002;– HERD (problems!!);– Publications and citations (problems!!);

=> First results that underestimate the real return and limit the cross-

country comparison due to data shortcomings.

Page 6: THE PRODUCTIVITY OF SCIENCE: A CROSS COUNTRY ANALYSIS By G. Crespi and A. Geuna SPRU-University of Sussex Workshop on Measuring the Impact of Science INRS;

A cross country analysis 2

1. Time lag (Polynomial Distributed Lag and Almond Model):

– Length of the lag and then the degree of the polynomial function;

– Publications: 6 years, 50% of impact by year 4;

-0.1000

-0.0500

0.0000

0.0500

0.1000

0.1500

0.2000

0 1 2 3 4 5 6

Lags (Years)

Weig

hts

PDL Model Almon Model

– Citations: 7 years, 50% of impact by year 5.-0.3

-0.25

-0.2

-0.15

-0.1

-0.05

0

0.05

0.1

0.15

0.2

0.25

0 1 2 3 4 5 6 7

Lags (years)

Wei

gh

ts

PDL Model Almon Model

Page 7: THE PRODUCTIVITY OF SCIENCE: A CROSS COUNTRY ANALYSIS By G. Crespi and A. Geuna SPRU-University of Sussex Workshop on Measuring the Impact of Science INRS;

A cross country analysis 3

2. National returns and International spillovers:– HERD– Non-HERD %,– Time trend,– Country level fix effect, – International spillovers:

ω= number of international co-authorships between countries i and l, divided by the total number of international co-authorships carried out by country l with the other countries in the sample.

Page 8: THE PRODUCTIVITY OF SCIENCE: A CROSS COUNTRY ANALYSIS By G. Crespi and A. Geuna SPRU-University of Sussex Workshop on Measuring the Impact of Science INRS;

A cross country analysis 3

AU B CA Dk Fin F D I NL E S CH UK US AU 0.000 0.012 0.087 0.017 0.007 0.051 0.088 0.025 0.028 0.008 0.031 0.024 0.214 0.409 B 0.011 0.000 0.035 0.015 0.014 0.192 0.118 0.065 0.120 0.035 0.036 0.050 0.107 0.201

CA 0.036 0.014 0.000 0.013 0.009 0.090 0.061 0.030 0.026 0.012 0.022 0.025 0.108 0.552 Dk 0.021 0.019 0.040 0.000 0.033 0.070 0.129 0.056 0.048 0.029 0.136 0.040 0.137 0.242 Fin 0.015 0.027 0.043 0.049 0.000 0.062 0.123 0.047 0.053 0.019 0.148 0.046 0.098 0.271 F 0.016 0.061 0.069 0.017 0.011 0.000 0.135 0.094 0.045 0.058 0.030 0.073 0.117 0.275 G 0.024 0.032 0.038 0.027 0.017 0.115 0.000 0.069 0.060 0.031 0.041 0.090 0.121 0.334 I 0.012 0.031 0.033 0.020 0.011 0.140 0.122 0.000 0.044 0.044 0.033 0.082 0.130 0.298

NL 0.019 0.080 0.041 0.025 0.018 0.094 0.148 0.060 0.000 0.029 0.036 0.049 0.147 0.255 E 0.007 0.036 0.028 0.021 0.009 0.186 0.114 0.093 0.043 0.000 0.024 0.040 0.156 0.241 S 0.024 0.029 0.040 0.083 0.061 0.075 0.118 0.053 0.042 0.020 0.000 0.042 0.114 0.300

CH 0.014 0.030 0.035 0.019 0.015 0.138 0.199 0.103 0.044 0.024 0.032 0.000 0.099 0.248 UK 0.056 0.029 0.068 0.028 0.014 0.098 0.118 0.072 0.059 0.041 0.039 0.044 0.000 0.335 US 0.053 0.026 0.171 0.024 0.018 0.113 0.162 0.082 0.050 0.032 0.050 0.055 0.165 0.000

Page 9: THE PRODUCTIVITY OF SCIENCE: A CROSS COUNTRY ANALYSIS By G. Crespi and A. Geuna SPRU-University of Sussex Workshop on Measuring the Impact of Science INRS;

A cross country analysis 3

Publications (1)

Publications (2)

Citations (3)

Citations (4)

Non-HERDit -0.005 -0.004 -0.013 -0.012 0.001*** 0.002** 0.002*** 0.002***

Year 0.018 -0.000 0.014 -0.014 0.002*** 0.0020 0.003*** 0.006**

HERDit 0.475 0.447 0.536 0.499 0.047*** 0.045*** 0.049*** 0.047***

Sit 0.505 0.599 0.116*** 0.123***

Constant -35.024 -2.859 -21.162 27.627 4.444*** 7.9410 6.187*** 11.60**

Observations 224 224 210 210 R-squared 0.99 0.99 0.99 0.99

Test CRS (P-Values) 0.69 0.62

Page 10: THE PRODUCTIVITY OF SCIENCE: A CROSS COUNTRY ANALYSIS By G. Crespi and A. Geuna SPRU-University of Sussex Workshop on Measuring the Impact of Science INRS;

Relative productivity analysis 1

TFP as measure of the overall organisational productivity of the science system;– Ranking (?);– Productivity growth rate:

Convergence to the US frontier; Catching up with the UK.

Page 11: THE PRODUCTIVITY OF SCIENCE: A CROSS COUNTRY ANALYSIS By G. Crespi and A. Geuna SPRU-University of Sussex Workshop on Measuring the Impact of Science INRS;

Relative productivity analysis 1

Growth SE Constant SE Observations R-squared AU -0.004 0.002** 2.165 0.017*** 16 0.28 B 0.007 0.002*** 1.730 0.016*** 16 0.53

CA -0.030 0.001*** 2.557 0.010*** 16 0.98 Dk 0.004 0.002* 1.768 0.0192*** 16 0.19 Fin 0.012 0.002*** 1.600 0.027*** 16 0.54 F 0.004 0.002** 2.578 0.015*** 16 0.26 G 0.001 0.002 2.672 0.0157*** 16 0.02 I 0.013 0.001*** 2.080 0.016*** 16 0.79

NL 0.000 0.010 2.092 0.019*** 16 0.01 E 0.011 0.002*** 2.155 0.020*** 16 0.66 S 0.013 0.002*** 1.782 0.026*** 16 0.61

CH -0.001 0.002 1.963 0.015*** 16 0.02 UK -0.005 0.002** 3.061 0.019*** 16 0.29 US -0.025 0.001*** 4.396 0.007*** 16 0.99

Page 12: THE PRODUCTIVITY OF SCIENCE: A CROSS COUNTRY ANALYSIS By G. Crespi and A. Geuna SPRU-University of Sussex Workshop on Measuring the Impact of Science INRS;

Conclusions

We were able to estimate a stable lag structure for publications (6Y) and citations (7y).

We found constant return to scale at the international level, given data limitations this is a lower bound estimation of the returns.

There is some evidence of a process of convergence in the productivity of science as measured by the outputs in the SCI-ISI.

Page 13: THE PRODUCTIVITY OF SCIENCE: A CROSS COUNTRY ANALYSIS By G. Crespi and A. Geuna SPRU-University of Sussex Workshop on Measuring the Impact of Science INRS;

Some of the limitations inherent in working at the cross-country level (such as the inability of working with field data) can be solved developing country comparisons on the basis of country and field level data.

– The UK study