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Table 2 Technological improvement rates and breakthrough innovations across industries

From: Digital technologies, technological improvement rates, and innovations “Made in Switzerland”

Dependent variable

FWD90

Model

(1)

(2)

(3)

Digital: Chemical

5.736*** (0.459)

 

8.035*** (0.704)

Digital: Computer/ICT

1.843*** (0.279)

 

2.062*** (0.232)

Digital: Electrical

4.806*** (0.198)

 

6.985*** (0.391)

Digital: Machinery

0.866*** (0.295)

 

1.260*** (0.254)

Digital: Medical

3.596*** (0.413)

 

7.333*** (0.690)

Digital: Pharma

1.536*** (0.343)

 

1.501*** (0.432)

k:Chemical

 

0.117*** (0.026)

 

k:Computer/ICT

 

0.021*** (0.006)

 

k:Electrical

 

0.256*** (0.015)

 

k:Machinery

 

0.054*** (0.009)

 

k:Medical

 

0.167*** (0.031)

 

k:Pharma

 

0.096*** (0.035)

 

Non-digital: k:Chemical

  

0.191*** (0.021)

Digital: k:Chemical

  

− 0.005 (0.020)

Non-digital: k:Computer/ICT

  

0.086*** (0.017)

Digital: k:Computer/ICT

  

0.020*** (0.007)

Non-digital: k:Electrical

  

0.415*** (0.030)

Digital: k:Electrical

  

0.124*** (0.016)

Non-digital: k:Machinery

  

0.167*** (0.016)

Digital: k:Machinery

  

0.039*** (0.014)

Non-digital: k:Medical

  

0.227*** (0.044)

Digital: k:Medical

  

0.020 (0.023)

Non-digital: k:Pharma

  

0.087**  (0.040)

Digital: k:Pharma

  

0.059*    (0.034)

Control variables

inv

\(\checkmark\)

\(\checkmark\)

\(\checkmark\)

num_ctry

\(\checkmark\)

\(\checkmark\)

\(\checkmark\)

Claims

\(\checkmark\)

\(\checkmark\)

\(\checkmark\)

bwd_cits

\(\checkmark\)

\(\checkmark\)

\(\checkmark\)

Fixed effects

Industry

\(\checkmark\)

\(\checkmark\)

\(\checkmark\)

Year

\(\checkmark\)

\(\checkmark\)

\(\checkmark\)

Year-Industry

\(\checkmark\)

\(\checkmark\)

\(\checkmark\)

Observations

3,243,802

3,243,802

3,243,802

  1. All estimations include USPTO patents from Canada, China, France, Germany, Japan, South Korea, Switzerland, the UK, and the USA of the filing years 1990–2015. If a patent has inventors from more than one of those countries, it will only take into account once. The first model specification shows associations between digital domains and breakthrough innovations for different selected industries. The second considers associations between technology improvement rates and breakthrough innovations, and the third do the same but distincts between digital and non-digital domains. In order to show associations in percentage points, we have multiplied the FWD90-dummy by 100. The industry fixed effects are at the level of the six industries included in the interaction terms. The standard errors in parentheses are also clustered at this industry level. Significance levels for the coefficients are indicated as: \(p^*<0.1\); \(p^{**}<0.05\); \(p^{***}<0.01\)