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The purpose of this paper is to examine how the expansionary phase of a business cycle driven by an exogenous commodity price shock (oil) affects R&D expenditures among Ecuadorian firms.

Using two rounds of the Ecuadorian National Science, Technology and Innovation Activities Survey (ACTI 2012 and 2015) and a data set on gross value added (GVA) by industry, we run a sample correction model applied to a panel data of 1,023 firms from 2009 to 2014.

In deciding whether to invest in R&D, the higher an industry’s GVA, the lower the predicted probability that firms in that industry would invest. Additionally, R&D investments are not procyclical, and there is marginal evidence that they might actually be countercyclical. These findings are consistent with Schumpeter (1939) and Ouyang (2011) and are likely due to an increased opportunity cost of R&D investment during the oil boom.

In this study, we examine a boom period and not a full business cycle. This boom is driven by an exogenous shock, deviating from much of the current literature, which focuses on endogenously driven business cycles. This paper examines how the oil shock impacted a variety of industries, and not just attractive ones. Additionally, this paper adds to the limited literature around R&D and business cycles in Latin America.

El objetivo de este trabajo es examinar cómo la fase de expansión del ciclo económico, impulsada por un choque exógeno en los precios de un producto básico (petróleo), afecta al gasto en I + D de las empresas ecuatorianas.

Usando dos rondas de la Encuesta Nacional de Actividades de Ciencia, Tecnología e Innovación (ACTI 2012 and 2015) y una base de datos del valor añadido bruto (VAB) por industrias, se estima un modelo de corrección de muestra aplicado a un panel de 1,023 empresas de 2009 a 2014.

En cuanto a la decisión de invertir o no en I + D, mientras mayor es el VAB de una industria, menor es la probabilidad pronosticada de que las empresas inviertan en I + D. Adicionalmente, la inversión en I + D no es procíclica, y de hecho encontramos evidencia marginal de que muestra un comportamiento contracíclico. Estos resultados son consistentes con Schumpeter (1939) y Ouyang (2011) y se explican posiblemente por un incremento en el costo de oportunidad de invertir en I + D durante la bonanza petrolera.

En nuestro estudio examinamos un periodo de auge, y no un ciclo económico completo. Dicho auge fue ocasionado por un choque exógeno en los precios del petróleo, lo cual diferencia el análisis de gran parte de la literatura actual, enfocada en ciclos económicos endógenos. Este trabajo examina cómo la bonanza petrolera impactó a distintas industrias, y no únicamente a las extractivas. Nuestro estudio contribuye a la escasa literatura existente sobre la relación entre el gasto en I + D y los ciclos económicos en Latinoamérica.

O objetivo deste artigo é examinar como a fase de expansão de um ciclo de negócios impulsionada por um choque exógeno de preços de commodities (petróleo) afeta os gastos com P and D entre as empresas equatorianas.

Utilizando duas rodadas da Pesquisa Nacional Equatoriana de Atividades de Ciência, Tecnologia e Inovação (ACTI 2012 and 2015) e um conjunto de dados sobre o valor agregado bruto (VAB) por indústria, aplicamos um modelo de correção de amostra aplicado a um painel de 1.023 empresas de 2009 a 2014.

Ao decidir investir ou não em P and D, quanto maior o VAB de uma indústria, menor a probabilidade prevista que as empresas dessa indústria investiriam. Além disso, os investimentos em P and D não são pró-cíclicos, e há evidências marginais de que eles podem realmente ser contracíclicos. Essas descobertas são consistentes com Schumpeter (1939) e Ouyang (2011) e são provavelmente devidas a um maior custo de oportunidade de investimento em P and D durante o boom do petróleo.

Em nosso estudo, examinamos um período de expansão e não um ciclo completo de negócios. Esse boom é impulsionado por um choque de petróleo exógeno, diferenciando-se de grande parte da literatura atual, que se concentra em ciclos de negócios impulsionados endogenamente. O artigo examina como o choque do petróleo impactou diversas indústrias, e não apenas as extrativistas. Além disso, nosso trabalho contribui para a escassa literatura em torno de P and D e ciclos de negócios na América Latina.

In the research & development (R&D) and innovation management literature, the question of whether or not to perform research in the private sector is always a pertinent one. Several studies have used market value to measure its association with a firm’s R&D performance. Nevertheless, in Europe there have been considerably less studies as compared to the USA because the analysis is complicated by data issues and different country-specific laws. The purpose of this paper is to further advance this field of research. The study provides insights into the strategic decision behind conducting R&D.

The econometric analysis is based on a unique panel data set of 133 companies in 13 European countries which is collected from the Bloomberg database covering the time period from 2002 to 2012.

The empirical findings are as follows: there is weak evidence in support of the hypothesis that R&D expenditure positively affects the firm’s market value, a fact which is confirmed by other published works; there is weak evidence that economic events can disrupt the connection of R&D programs with the market value of firms; and for a highly controversial topic in the literature, data suggest that small firms are rather favoured more from R&D expenditure than large firms.

The current study expands the discussion regarding the effect of R&D on the market value of firms via empirical evidence, within the specific environment of the European financial crisis. Future managerial, informed-based, decisions can be drawn on the present results.

Purpose – The relation between research and development (R&D) expenditures and bondholder wealth is examined.

Methodology/approach – A sample of firms that increase R&D expenditures is partitioned into two subsamples: firms with high default risk versus firms with low default risk. For each subsample, we examine the effect of R&D increases on bond returns and default risks.

Findings – For firms with high default risk, R&D increases have a negative impact on bond returns and default risk. Further, there is a wealth transfer from bondholders to stockholders surrounding R&D increases. Neither of these results is found for firms with low default risk.

Research limitations/implications – The present study highlights the importance of assessing firm's existing default risk to understand the effects that R&D expenditures have on bondholders.

Social implications – The study reveals a potential social welfare and economic cost, as it reveals that stockholders may be able to gain wealth at the expense of bondholders.

Originality/value – The study provides important insights to bondholders on how firms’ investment policies, such as R&D expenditures, may affect their wealth.

The purpose of this study is to examine the relationship between the news-based economic policy uncertainty (EPU), research and development (R&D) expenditures per capita and innovation outputs.

Data from 1996 to 2015 for 19 countries (Australia, Brazil, Canada, Chile, China, France, Germany, India, Ireland, Italy, Japan, Netherlands, Russia, Singapore, South Korea, Spain, Sweden, the United Kingdom and the United States) are used. The authors apply country and year fixed-effects models for the estimations.

The study findings show that higher levels of EPU are positively associated with higher R&D expenditures per capita as well as innovation outputs (patent applications, patent grants and trademark applications).

This study deepens our understanding on the policy uncertainty–economic activities nexus and expands the literature on uncertainty, which is still at an initial phase of development, leading to generate a variety of open research questions for further investigation and study (Bloom, 2014).

There has not been an empirical investigation on the links between EPU and R&D expenditures and innovation outputs across several countries. The authors address this gap in the literature.

One of the key drivers behind the recent growth in the global solar energy market is the decline in solar module prices. Many empirical analyses have been carried out to identify the mechanism behind this price reduction. However, studies on the price reduction mechanism of solar modules over the years have focused purely on the technological aspect of manufacturing. The purpose of this study is to consider the influence of economic and monetary factors such as the interest rate and exchange rate on solar module pricing in addition to other factors that considered in earlier studies including technology, wage rate and other energy prices.

In this paper, an oligopolistic model and econometric method are used to determine the economic factors that have an influence on solar module prices. The paper constructs a solar module pricing model and conducts a fully modified ordinary least squares analysis to estimate the influence of each factor. Analysis is conducted for the top five solar module producing countries in the world from 1997 to 2015. The five countries are the People’s Republic of China, Germany, Japan, the Republic of Korea and the USA.

Empirical analysis provides several findings concerning the solar module pricing mechanism. These vary for each country. However, generally the interest rate has a positive correlation with solar module prices, while the exchange rate, knowledge stock and oil price have a negative correlation with solar module prices.

First, the government must expand channels for renewable energy funding. As renewable industries are high-tech, the influence that capital cost has on technology price is significant. Government efforts to provide industries with low-interest finance will accelerate renewable business. There have been many attempts to lower interest rates for renewable energy technology to accelerate growth in the green technology market. Second, the government must expand research and development (R&D) expenditures focused on renewable energy technology. The technological advancements acquired through R&D enhance module performance efficiency, thereby reducing costs. Therefore, government policies aimed at increasing targeted R&D expenditure will be an effective means of expanding the installation of renewable energies.

Studies on the price reduction mechanism of solar modules over the years have focused purely on the technological aspect of the manufacturing. This is the first research to bring economic, monetary and technological factors of solar module pricing together.

The main purpose of this study is to investigate the relationship between intangible investments (R&D, advertising, training, software acquisitions and quality) and the ability of firms to generate future OCF (hereafter cash‐flow from operations).

The authors developed dynamic panel models to estimate the relationship between intangible investments and three subsequent periods cash flows. These models are estimated using generalized method of moments (GMM), on a panel of 300 observations related to 50 Tunisian manufacturing firms and six years of data (2001‐2006).

The findings show a positive and significant effect of intangible investments on future operating cash flows. First, this result confirms the main hypothesis of resource based view (RBV). Second, it is found that investments in R&D, quality, and advertising have significant effects on future cash flows from operations. While the effect of R&D activities and quality persists until the third lagged period, the effect of advertising expenditures is rapid and temporary.

The investigation provides an empirical validation on the role of intangible investment in generating and sustaining competitive advantage. The significant effect of R&D and quality expenses indicates the role of these activities in adding value to the firm product, and hence in the creation of competitive advantage which allows the firm to manage the components of its operating cycle, especially cash received from customers, resulting in superior future cash flows from operations.

First, the use of cash‐flow basis, as an alternative approach to accrual basis, for intangibles valuation avoids the shortcomings of accrual‐based performance measures in forecasting future operating cash flows because of earnings management practices. Second, the majority of the research dealing with the valuation of intangibles has been conducted in the context of developed countries, therefore in terms of the relevance of intangible investments significantly less is known about emerging economies. The choice of Tunisia, in this regard, is a particularly important contribution to the research on emerging economies.

“Unless a company accepts R & D as an essential element in the business, it is better not to spend money on it, for the money will be wasted.”

We study the events that motivate CEOs to underinvest in R&D long-term projects (CEO myopia). Based on the existing literature in earnings management and agency theory, myopia is likely to become more problematic under five circumstances: when the CEO nears retirement (the CEO horizon problem), R&D projects have very long time horizons (the project horizon problem), the firm’s financial health is deteriorating (the cover-up problem), ownership structure is heavily weighted toward insider owners (minority owner oppression problem), and when the threat of hostile takeover increases (the entrenchment problem). We setup a dynamic simulation model in which rational CEOs maximize the total value of their bonus compensation over their tenure. Our findings related to the five circumstances are consistent with the extant literature. However, we found an unexpected stable, nonlinear (inverted U-shaped) relationship between CEO tenure and R&D investment. We discuss the theoretical implications of our model and offer suggestions for future research.

The purpose of this paper is to provide a theoretical support for managers and investors and help them to identify corporate investment decisions on research and development (R&D) rationally.

Grouping and regression analysis are employed in the research.

The paper finds that managers in firms with medium accounting performance and at the border of profit target are prone to manage earnings by real R&D transactions, namely reducing R&D expenditures.

The conclusions are of great significance for innovation promotion in China.

The purpose of this research is to look at the effects of research and development expenditures (R&D) on value and risks of publicly traded companies by studying returns on stock exchanges of R&D-intensive economies (Republic of Korea, Finland and Israel).

Empirical tests of multifactor asset pricing models were applied to demonstrate that R&D intensity could be considered as a pricing factor and affect investors’ risk premiums on those markets. To discover the reasons behind the asset pricing R&D anomaly, this study investigated the nature of R&D risk further by looking into the interactions of R&D and currency risks.

This study discovered that investors in stock markets of R&D-intensive countries should require a positive equity risk premium. However, the reduction of R&D intensity may increase firms’ risks and firms with higher R&D-intensity are less exposed to currency risks in R&D-intensive economies.

Many researchers have investigated the relationship between a firm’s R&D and stock returns. But nearly all of them focus on the US Stock Market and attempt to determine the reasons for R&D’s impact on firms’ risks and market value. Meanwhile, the role of R&D and related risks for investors could be even more prominent for stock markets in R&D-intensive countries. To bridge this gap, this research studied stock returns on exchanges of three developed countries where the ratio of gross domestic expenditure on R&D (GERD) to GDP is among the highest worldwide. In this study, the methodology of asset pricing empirical studies was adopted and it was further developed to analyze the causes of R&D risks. The new methodology was applied to discover relationship between R&D intensity and currency risk exposure. The interesting findings could be used for development of firms’ corporate strategies in those countries and for elaboration of policy decisions.