scholarly journals Innovation surveys: experience from Japan

Author(s):  
Tomohiro Ijichi
Keyword(s):  
2018 ◽  
Vol 37 (75) ◽  
pp. 779-808 ◽  
Author(s):  
Alex Coad ◽  
Dominik Janzing ◽  
Paul Nightingale

This paper presents a new statistical toolkit by applying three techniques for data-driven causal inference from the machine learning community that are little-known among economists and innovation scholars: a conditional independence-based approach, additive noise models, and non-algorithmic inference by hand. We include three applications to CIS data to investigate public funding schemes for R&D investment, information sources for innovation, and innovation expenditures and firm growth. Preliminary results provide causal interpretations of some previously-observed correlations. Our statistical 'toolkit' could be a useful complement to existing techniques.


Author(s):  
Henry Lahr ◽  
Andrea Mina

Abstract We investigate which indicators of a firm’s innovation activities are associated with financial constraints and analyze the nature and direction of causal links between innovation and financial constraints. By estimating simultaneous bivariate probit models on data from the UK Innovation Surveys, we show that among innovation inputs, research and development (R&D) activity increases the likelihood that firms face financial constraints. Among innovation outputs, only new-to-market products generate financial constraints. Reverse effects on innovation appear limited to external R&D.


2012 ◽  
Vol 26 (3) ◽  
pp. 420-444 ◽  
Author(s):  
Shangqin Hong ◽  
Les Oxley ◽  
Philip McCann
Keyword(s):  

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Carolina Pasciaroni ◽  
Andrea Barbero

Purpose This paper aims to analyse the influence of cooperation on the degree of novelty of technological innovations introduced by industrial firms in Argentina. This influence is analysed from three perspectives: cooperation by partner type [business partners or scientific and technological centres (S&T) partners]; cooperation by number of partner types, from no cooperation to cooperation with two partner types; and cooperation by goals pursued by firms. Design/methodology/approach The data come from one of the last national innovation surveys conducted in Argentina. The study controls for endogeneity, using instrumental variable procedures within the conditional mixed-process (CMP) framework. Findings The main result is the influence of cooperation with universities and S&T centres on the introduction of more novel innovations, which was found both in estimations with and without endogeneity correction. This influence was verified for more complex goals (R&D, technology transfer and industrial design and engineering) as well as for less complex ones (tests and trials, human resources training, quality management and certification). Business cooperation seems to impact only on a lower degree of novelty for more complex goals. The increase in the number of partners that the firm cooperates with, from no cooperation to joint cooperation with two partner types, influences more novel innovations. Research limitations/implications Limitations and proposals for future research are discussed at the end of the study. Practical implications The results of this study contrast with the high propensity to cooperate with business partners shown by firms in Argentina and other Latin American countries. Therefore, this paper may help formulate more effective policies to promote cooperation conducive to firm innovation performance. Limitations and proposals for future research are discussed at the end of the study. Originality/value Although there is empirical evidence on this topic for developed countries, firm-level studies on cooperation and degree of novelty are scarce for Latin America. In addition, this paper analyses cooperation not only by type of partner but also by type of goal. This study attempted to control for endogeneity by using instrumental variables within the CMP framework.


2011 ◽  
Vol 71 (4) ◽  
pp. 1032-1059 ◽  
Author(s):  
TOM NICHOLAS

Matching 2,777 R&D firms in surveys conducted by the National Research Council between 1921 and 1938 with U.S. patents reveals that 59 percent of all firms and 88 percent of publicly traded firms patented. These shares are much higher than those observed for modern R&D firms. Industry, firm size and the location of R&D facilities relative to major cities are shown to be important determinants of the propensity to patent. The effect of these factors remained constant across the 1920s and the Depression years suggesting that the tradeoff between patent disclosure and secrecy did not change over time.


2004 ◽  
Vol 31 (4) ◽  
pp. 254-266 ◽  
Author(s):  
Mónica Salazar ◽  
Adam Holbrook
Keyword(s):  

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