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In the present study, using a novel fractional logit model, the link between R&D (Research & Development) investment and shareholder value-based CEO (Chief Executive Officer) compensation has been examined within the non-financial sector in the Euro area economies using a firm-level dataset for 2002–2019.

The fractional logit model is utilized to examine the effects of corporate payment on R&D investment. The fractional logit model can be considered the empirical approach that takes into account R&D non-performer firms to avoid reducing the sample size. The fractional logit model is superior to the censored or truncated models, like Tobit, since the fractional logit model is useful to address the econometric limitations that are found in the censored and truncated models in the non-linear models.

The findings obtained in this study showed a significant and negative effect of short-term aim-based CEO payment on R&D expenditures in the Euro area economies using firm-level data. These findings are robust to different robustness checks and modeling alternatives.

To the author's knowledge, there is no study that examines the effects of short-term shareholder value maximization-based CEO compensation on R&D in the European context in the literature.

The study examines the association between firm-level political risk and corporate innovation and also this study explores how financial constraint and growth level of a firm influence this association.

A sample of 14,140 firm-year observations of the US firms from 2003 to 2020 is used. Unlike prior studies, this study uses a firm-level measure of political risk recently developed by Hassan et al. (2019) and measure innovation by patent and patent citation data and a text-based measure. A regression technique is used for empirical testing.

This study finds that firm-level political risk is negatively associated with innovation and also document that firm-level political risk has a negative impact on innovation for financially constrained and high growth firms. The overall results are robust after addressing the issue of potential endogeneity using entropy balancing and two-stage least squares regression techniques. This study also documents qualitatively consistent results after using alternative measures of innovation as well as firm-level political uncertainty.

The findings of this study could help the managers to make better investment decision and improve economic efficiency through understanding the effect of firm-level political risk on innovation activities.

The study concentrates on firm-level political risk and innovation and presents new insights that political risk at the microlevel is an important determinant for investment in innovative activities.

We are interested in modeling the impact of spatial and interindustry dependence on firm-level innovation of Chinese firms The existence of network ties between cities imply that changes taking place in one city could influence innovation by firms in nearby cities (local spatial spillovers), or set in motion a series of spatial diffusion and feedback impacts across multiple cities (global spatial spillovers). We use the term local spatial spillovers to reflect a scenario where only immediately neighboring cities are impacted, whereas the term global spatial spillovers represent a situation where impacts fall on neighboring cities, as well as higher order neighbors (neighbors to the neighboring cities, neighbors to the neighbors of the neighbors, and so on). Global spatial spillovers also involve feedback impacts from neighboring cities, and imply the existence of a wider diffusion of impacts over space (higher order neighbors).

Similarly, the existence of national interindustry input-output ties implies that changes occurring in one industry could influence innovation by firms operating in directly related industries (local interindustry spillovers), or set in motion a series of in interindustry diffusion and feedback impacts across multiple industries (global interindustry spillovers).

Typical linear models of firm-level innovation based on knowledge production functions would rely on city- and industry-specific fixed effects to allow for differences in the level of innovation by firms located in different cities and operating in different industries. This approach however ignores the fact that, spatial dependence between cities and interindustry dependence arising from input-output relationships, may imply interaction, not simply heterogeneity across cities and industries.

We construct a Bayesian hierarchical model that allows for both city- and industry-level interaction (global spillovers) and subsumes other innovation scenarios such as: (1) heterogeneity that implies level differences (fixed effects) and (2) contextual effects that imply local spillovers as special cases.

The purpose of this chapter is to offer a discussion of the key issues in mixed-level, multi-theoretical research in strategic management. Mixed-level issues are grouped into two categories: (1) measurement of constructs, with discussion of situations in which the level of theory, level of measurement, and level of analysis differ; and (2) relationships among constructs, including cross-level and multilevel models. Key theories and views found in the strategic management literature are discussed briefly to illustrate the basic arguments of each, its focal unit of analysis, and the implicit or explicit incorporation of mixed-level perspectives.

This chapter investigates whether core competence of managers and their expansive (vs. specialized) managerial style affects firms' innovative ability, capacity, and efficiency. Using exogenous CEO departures as a natural experiment, it establishes a causal link between managerial capability and innovation. Importantly, it reveals that firms with talented managers receive significantly more nonself citations; make significantly lower self-citations and lesser citations to the others, indicating novel and explorative innovation achievements. Also, managers with higher general (specialized) ability are cited more (less) by patents from a wider range of fields. Lastly, career concern is identified as a mechanism linking higher ability and innovation.

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.

This paper aims to analyze the firm level determinants of profitability of Indian drug and pharmaceutical industry which is known for historically weak R&D initiatives.

The change in the economic environment brought out by the Trade-Related Intellectual Property Rights (TRIPS) compliance, this industry was found to have fast adjusted to a new working environment by substantially modifying its strategies. This study aims at using inflation-adjusted panel data for a period 2000-2013 and applies the fixed effects regression model with cluster standard errors.

The study has found that export intensity, A&M intensity, firm’s market power and stronger patent regime dummy have exercised positive influence on profitability. The negative and statistically significant influence of R&D intensity and raw material import intensity points to the need for firms to adopt suitable investment strategies.

The study suggests that firms are required to pay far more attention to optimize their operating expenditures, advertisement and marketing expenditures and improve their export orientation, as part of the long-term strategy.

This study uses a recent data-set to analyze the firm level profitability determinants in the Indian pharmaceutical industry and captures the effect of change in profitability pre and post-TRIPS.

The impact of competition on innovation has been extensively studied, but with ambiguous findings. We study the impact of import competition on U.S. corporate innovation and present some new perspectives. We conjecture that U.S. firms view import competition from high-wage countries (HWCs) as “neck-and-neck” competition and will respond by intensifying innovation. In contrast, U.S. firms will reduce innovation in response to import competition from low-wage countries (LWCs), because such competition does not always increase the potential benefits from innovation. Our empirical results are supportive. We find that, when confronting HWC import competition, U.S. firms increase R&D spending while intensifying and improving innovation output (file more patents, receive more citations to their patents, and produce more breakthrough patents). Moreover, U.S. firms closest to the technological frontier – largest firms, firms with the largest stocks of knowledge, and most profitable firms – increase and improve their innovation the most in response to HWC competition. These results shed light on the relationship between product market competition and innovation, and point to the origin of import competition as a determinant of innovation decisions made by different U.S. companies.

This paper aims to analyse the impact of innovation on the productivity of firms in India using the data from the World Enterprise Survey. This paper first classifies three different types of innovation measures then further analyses their relation with the productivity of the firms.

The methodology used for this study has incorporated the structural Crépon-Douget-Mairesse (CDM) model wherein productivity is measured using both the innovation inputs and the innovation outputs. Three main equations have been used to quantify this relation includes the knowledge intensity function, innovation function and the productivity equation.

Findings indicate that decision to invest in research and development (R&D) is influenced negatively by financial obstacles and trade obstacles and positively influenced by telecommunication obstacles, government obstacles and the size of the firm in India. Similarly, financial obstacles and the size of the firm are affecting the firm’s research expenditure per employee. Also, financial obstacles seem to hinder the research intensity and larger firms seem to have higher research intensity. The size of the firm contributes significantly to product innovation. However, R&D spending seems to be negatively related to the innovation outcome. The findings relating to productivity shows neither product nor process innovation outputs, independently are not contributing significantly to the productivity of firms. However, product and process innovation, together serve as innovation outputs is a significant contributor to firm productivity. On the other hand, organisational innovation contributes significantly to the productivity of the firms in a negative manner.

The findings relating to productivity shows neither product nor process innovation outputs, independently are not contributing significantly to the productivity of firms (which has been measured by sales per worker is impacted by the capital and the labour inputs). However, product and process innovation, together serve as innovation outputs is a significant contributor to firm productivity. On the other hand, organisational innovation contributes significantly to the productivity of the firms in a negative manner. The reason could be due to the fact that the definition of organisational innovation incorporates both dissolutions and mergers.