z-logo
open-access-imgOpen Access
Evaluation of Public R&D Policy: A Meta-Regression Analysis
Author(s) -
Syoum Négassi,
JeanFrançois Sattin
Publication year - 2019
Publication title -
technology and investment
Language(s) - English
Resource type - Journals
eISSN - 2150-4059
pISSN - 2150-4067
DOI - 10.4236/ti.2019.101001
Subject(s) - economics , meta regression , public economics , public policy , tax credit , meta analysis , empirical research , regression analysis , market failure , econometric model , empirical evidence , econometric analysis , macroeconomics , econometrics , microeconomics , economic growth , medicine , philosophy , epistemology , machine learning , computer science
Economic theory and empirical evidence indicate that technological innovation is an important determinant of long-term economic development. Various country policies have been launched in favour of private research and development (R&D) with economic development as the main objective. As often in economics, public intervention is grounded on the presumed existence of market failures. The purpose of this paper is two-fold. First, it provides an overview of the history of R&D-related tax policies in more than ten industrial countries. Second, after reviewing the existent empirical evidence on the effectiveness of R&D tax credits policies, it presents a meta-regression analysis based on an econometric model. Our results show that an R&D tax credit is strongly significant in the studies taken cumulatively.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom