R&D contribution in TFP growth of Greek industry: a limited information likelihood approach

Mamatzakis, Emmanuel and Pegkas, P. and Staikouras, C. and Tsamadias, C. (2023) R&D contribution in TFP growth of Greek industry: a limited information likelihood approach. Bulletin of Economic Research , ISSN 0307-3378.

Abstract

We provide a novel panel model to decompose total factor productivity (TFP) growth in the Greek industry at the firm level while we tackle the contribution of R&D. We, therefore, opt for parametric methodology that provides statistical inference and would validate the results. Our modeling departs from prior strong assumptions such as error terms across firms being independent. In fact, we provide a novel limited information maximum likelihood (LIML) estimation method that adequately deals with the issue of endogeneity and model misspecification. We demonstrate that our model detects variability in terms of TFP growth components across industries and firms. Our results show that R&D would enhance TFP of Greek firms, albeit the crisis has had a detrimental impact. Financial ratios such as liquidity and solvency ratios also affect TFP as we demonstrate that both would enhance TFP. The solvency ratio is important as it provides an estimate of whether the firm can cope with debt. We also note variability across small versus medium and large firms and report that small firms are more productive and spend more of their revenues on R&D. In terms of policy, our evidence warrants higher R&D spending to enhance TFP growth, though R&D funding is a concern.

Metadata

Statistics

DownloadsShow export options

Export as XMLJSONCSV

Activity Overview

6 month trend

5Downloads

6 month trend

98Hits

Additional statistics are available via IRStats2.

Archive Staff Only (login required)

Edit/View Item