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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.

In the current study, corporate investment is examined by using a user cost of capital model for two important Latin American economies: Brazil and Mexico. In this paper, a dynamic user cost of capital model is employed. The extended model also accounts the investment model with the convex adjustment cost. Moreover, the link between structural change, financial liberalization and investment is also investigated. The present study, therefore, sheds new lights on the investment behavior of the Latin American emerging markets.

The differenced generalized method of moments approach is employed to control the endogeneity, heteroscedasticity and autocorrelation for modeling the corporate investment over 20 years for both countries.

The findings indicate that the dynamic user cost of capital-based investment model explains the corporate investment in Brazil and Mexico. Especially, the interest rate and depreciation explain the investment behavior of nonfinancial firms in both countries. At the same time, structural change and financial liberalization do not have a significant impact on interest rates, an important user cost of capital.

This is the first study examines the corporate investment using dynamic user costs of capital approach for an emerging market. The user cost of capital-based investment models is clearly understudied models for emerging markets. This study is particularly important for emerging markets as investment models need to have a theoretical background.

En el presente estudio se examina la inversión empresarial utilizando un modelo de coste de capital del usuario para dos importantes economías latinoamericanas: Brasil y México. En este trabajo se emplea un modelo dinámico de coste de capital para el usuario. El modelo ampliado también tiene en cuenta el modelo de inversión con el coste de ajuste convexo. Además, se investiga la relación entre el cambio estructural, la liberalización financiera y la inversión. El presente estudio, por tanto, arroja nueva luz sobre el comportamiento de la inversión en los mercados emergentes latinoamericanos.

Se emplea el método GMM diferenciado para controlar la endogeneidad, la heteroscedasticidad y la autocorrelación en la modelización de la inversión empresarial a lo largo de 20 años en ambos países.

Los resultados indican que el modelo dinámico de inversión basado en el coste de capital para el usuario explica la inversión empresarial en Brasil y México. Especialmente, el tipo de interés y la depreciación explican el comportamiento de la inversión de las empresas no financieras en ambos países. Al mismo tiempo, se constata que el cambio estructural y la liberalización financiera no tienen un efecto significativo sobre los tipos de interés, que es un importante coste de uso del capital.

Este es el primer estudio que examina la inversión empresarial utilizando un enfoque dinámico basado en los costes de capital para un mercado emergente. Los modelos de inversión basados en los costes de uso del capital son claramente modelos poco estudiados para los mercados emergentes. Este estudio es especialmente importante para los mercados emergentes, ya que los modelos de inversión deben tener un trasfondo teórico.

This study aims to use a comparative analysis to examine the channel of deferring cash commitments, which can be seen as a strategic solution to mitigate the impact of COVID-19 on Moldova's service sector.

This paper uses the Oaxaca–Blinder decomposition analysis. The World Bank's post-COVID-19 survey is used. The methodology takes into account heterogeneity among firms.

The results of the Oaxaca–Blinder decomposition analysis show that service firms use deferred cash commitments more than industrial firms, corporate governance and their pandemic-related strategies are also effective in the post-COVID Moldovan economy. The results are robust to different modeling alternatives.

COVID-19 can be considered a key source of uncertainty for firms, especially those operating in economies where financial frictions occasionally occur in a transition economy. Therefore, this study can shed new light on the impact of COVID-19 on financial strategies in a transition economy.

This paper aims to study the effect of short-term firm-level exposure on managerial change during the COVID-19 pandemic in the Chinese economy. Such a link is not explored in the existing COVID-19 and resource-based theory (RBT) literature.

The logit regression model is utilized to examine the effect of short-term exposure on the probability of managerial change in the Chinese economy. Logit models based on coarsened exact matching (CEM) are also used in the robustness checks part of the study. The results are robust to different specifications.

The obtained findings show that short-term exposure has a significantly positive effect on the probability of managerial change during the pandemic.

Under the RBT approach, this study sheds new light on the relationship between short-term financial exposure and managerial change under uncertainty during the pandemic.

C-Suite executives need to be prepared for short-term sudden shocks. According to the findings of the study, the relationship between short-term sudden shocks and short-term financial exposure is a factor that C-suite executives should pay attention to.

Short-term sudden shocks can support managerial change, pushing society into uncertainty and negatively affecting the private sector. In this context, it has a structure that can amplify uncertainty.

In the existing COVID-19 literature, the effect of short-term exposure on the probability of managerial change is under researched, especially in the emerging markets-based RBT and COVID-19 literature. The present study offers an insight into the link between short-term exposure and the probability of managerial change during the pandemic.

The literature on financing constraints in emerging markets is still under-researched and is often described as a “black box.” This study aims to shed light on this underexplored area for emerging economies. Specifically, it attempts to understand the phenomenon of financing constraints through a systematic review and bibliometric analysis.

A systematic literature review and bibliometric analysis are used to identify the main features of investment-cash flow sensitivity and the financing constraints hypothesis in the context of emerging markets.

Financing constraints and investment-cash flow sensitivity in emerging markets should be analyzed in light of capital market imperfections, financial liberalization and macroeconomic conditions.

This study is expected to serve as a valuable resource for researchers interested in the financing challenges faced by firms in emerging economies.

To the best of the author’s knowledge, this is the first comprehensive systematic and bibliometric literature review that examines the distinct characteristics of the financing constraints hypothesis on investment decisions in emerging markets.

This study aims to explore a novel framework for housing price bubbles in the Turkish economy during the pandemic. It examines the probability of housing bubble formation relative to the pre-pandemic period and identifies possible determinants of housing bubbles in the Turkish economy.

In this study, a two-stage novel estimation method is applied. In the first stage, bubble periods are identified through the right-tailed supremum augmented Dickey–Fuller test. In the second stage, the determinants of these bubbles are identified, and the housing bubble determinants during the COVID-19 pandemic are compared to the pre-pandemic period.

The findings indicate that there is an asset price bubble in the housing market during the pandemic period. Furthermore, mortgage credit expansion, mortgage credit rates and the depreciation of the Turkish Lira against the USD could increase housing bubble formation. However, housing sector sales to foreign investors do not contribute to housing bubble formation during the pandemic in the Turkish housing market.

To the best of the author’s knowledge, this is the first study to address the relative determinants of housing bubbles in an emerging market context during the pandemic.