Search

A new approach to estimation of the R&D-innovation-productivity relationship

PublicationArticle (with peer review)
Andreas Stephan, Christopher Baum, Företagandets villkor, Hans Lööf, Innovation, Pardis Nabavi, Produktivitet, R&D

Abstract

We apply a generalized structural equation model approach to the estimation of the relationship between R&D, innovation and productivity that focuses on the potentially crucial heterogeneity across sectors. The model accounts for selectivity and handles the endogeneity of this relationship in a recursive framework which allows for feedback effects from productivity to future R&D investment. Our approach enables the estimation of the different equations as one system, allowing the coefficients to differ across sectors, and also permits us to take cross-equation correlation of the errors into account. Employing a panel of Swedish manufacturing and service firms observed in three consecutive Community Innovation Surveys in the period 2008–2012, our full-information maximum likelihood estimates show that many key channels of influence among the model’s components vary meaningfully in their statistical significance and magnitude across six different sectors based on the OECD classification on technological and knowledge intensity. These results cast doubt on earlier research which does not allow for sectoral heterogeneity.

Baum, C. F., Lööf, H., Nabavi, P., & Stephan, A. (2017). A new approach to estimation of the R&D-innovation-productivity relationship. Economics of Innovation and New Technology, 26(1-2), 121-133. DOI: 10.1080/10438599.2016.1202515

Based on content

A new approach to estimation of the R&D-innovation-productivity relationship
Artikel (med peer review)Publication
Baum, C. F., Lööf, H., Nabavi, P., & Stephan, A.
Publication year

2017

Abstract

We apply a generalized structural equation model approach to the estimation of the relationship between R&D, innovation and productivity that focuses on the potentially crucial heterogeneity across sectors. The model accounts for selectivity and handles the endogeneity of this relationship in a recursive framework which allows for feedback effects from productivity to future R&D investment. Our approach enables the estimation of the different equations as one system, allowing the coefficients to differ across sectors, and also permits us to take cross-equation correlation of the errors into account. Employing a panel of Swedish manufacturing and service firms observed in three consecutive Community Innovation Surveys in the period 2008–2012, our full-information maximum likelihood estimates show that many key channels of influence among the model’s components vary meaningfully in their statistical significance and magnitude across six different sectors based on the OECD classification on technological and knowledge intensity. These results cast doubt on earlier research which does not allow for sectoral heterogeneity.

The Effect of Marshallian and Jacobian Knowledge Spillovers on Jobs in the Solar, Wind and Energy Efficiency Sector
Article (with peer review)Publication
Aldieri, L., Grafström, J., & Vinci, C. P.
Publication year

2021

Published in

Energies, 14(14), 4269.

Abstract

The purpose of this paper is to establish if Marshallian and Jacobian knowledge spillovers affect job creation in the green energy sector. Whether these two effects exist is important for the number of jobs created in related fields and jobs pushed away in other sectors. In the analysis, the production efficiency, in terms of jobs and job spillovers, from inventions in solar, wind and energy efficiency, is explored through data envelopment analysis (DEA), based on the Malmquist productivity index, and tobit regression. A panel dataset of American and European firms over the period of 2002–2017 is used. The contribution to the literature is to show the role of the spillovers from the same technology sector (Marshallian externalities), and of the spillovers from more diversified activity (Jacobian externalities). Since previous empirical evidence concerning the innovation effects on the production efficiency is yet weak, the paper attempts to bridge this gap. The empirical findings suggest negative Marshallian externalities, while Jacobian externalities have no statistical impact on the job creation process. The findings are of strategic importance for governments who are developing industrial strategies for renewable energy.

Aldieri, L., Grafström, J., & Vinci, C. P. (2021). The Effect of Marshallian and Jacobian Knowledge Spillovers on Jobs in the Solar, Wind and Energy Efficiency Sector. Energies, 14(14), 4269.

An Anatomy of Failure – Wind Power Development in China
Article (with peer review)Publication
Grafström, J.
Publication year

2021

Abstract

China is currently the world’s largest installer of wind power. However, with twice the installed wind capacity compared to the United States in 2015, the Chinese produce less power. The question is: Why is this the case? This article shows that Chinese grid connectivity is low, Chinese firms have few international patents, and that export is low even though production capacity far exceeds domestic production needs. Using the tools of Austrian economics, China’s wind power development from 1980 to 2016 is documented and analyzed from three angles: (a) planning and knowledge problems, (b) unproductive entrepreneurship, and (c) bureaucracy and government policy. From a theoretical standpoint, both a planning problem and an entrepreneurial problem are evident where governmental policies create misallocation of resources and a hampering of technological development.

Show more