Search results

This paper sets out to test the effects of firms’ and industry's R&D intensity on persistence of abnormal earnings.

Ohlson's valuation model is used with pooled regressions along with Fama–Macbeth methodology on yearly regressions and partitioning on Herfindahl index to conduct the tests.

It was found that firms’ and industries’ R&D intensities are both positively correlated with persistence of abnormal earnings. The evidence suggests that the positive effect on earnings persistence caused by R&D's effectiveness in mitigating competition dominates the negative effect brought by more risk from R&D projects

The fact that the firm's own R&D investment leads to incremental earnings persistence beyond that of the industry suggests the importance of incorporating both industry and firm's R&D intensity in earnings persistence. While industry R&D investment leads to competition mitigation via creation of entry barriers, a firm's own investment in R&D differentiates its products from those of its competitors, and thereby results in further competition mitigation by creating replacement barriers.

Finally, since R&D intensity is correlated with earnings persistence, inclusion of R&D intensity in future earnings persistence studies may lead to better model specification by reducing the problem of correlated omitted variables.

The purpose of this research is to examine the validity of the agriculture-induced environmental Kuznets curve (EKC) hypothesis with evidence from an autoregressive distributed lag (ARDL) approach with a structural break including real income and energy consumption in the model for Ghana over the period 1980–2014.

The ARDL approach with a structural break was used to analyze the agriculture-induced EKC model which has not been studied in Ghana. The dynamic ordinary least squares (DOLS), canonical cointegration regression (CCR) and fully modified ordinary least squares (FMOLS) econometric methods were further used to validate the robustness of the estimates, and the direction of the relationship between the study variables was also clarified using the Toda–Yamamoto Granger causality test.

The ARDL results revealed that GDP, energy consumption and agricultural value added have significant positive effects on CO₂ emissions, while GDP² reduces CO₂ emissions. The Toda-Yamamoto causality test results show a bidirectional causality running from GDP and energy consumption to CO₂ emissions whereas a unidirectional long-term causality runs from GDP² and agriculture value-added to CO₂ emissions.

This finding validated the presence of the agriculture-induced EKC hypothesis in Ghana in both the short run and long run, and the important role of agriculture and energy consumption in economic growth was confirmed by the respective bidirectional and unidirectional causal relationships between the two variables and GDP. Thus, a reduction in unsustainable agricultural practices is recommended through specific policies to strengthen institutional quality in Ghana for a paradigm shift from rudimentary technology to modern sustainable agrarian technologies.

This study is novel in the EKC literature in Ghana, as no study has yet been done on agriculture-induced EKC in Ghana, and the other EKC studies also failed to account for structural breaks which have been done by this study. This study further includes a causality analysis to examine the direction of the relationship which the few EKC studies in Ghana failed to address. Finally, dynamic ordinary least squares (DOLS), canonical cointegration regression (CCR) and fully modified ordinary least squares (FMOLS) methods are used for robustness check, unlike other studies with single methodologies.