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The purpose of this study is to examine the effect of corporate social responsibility assurance practice (CSRAP) on the financial distress likelihood of listed firms in India. It uses the signalling theory to interpret the relationship among the variables of the study.

The study used the Indian stock market as the testing grounds and applied probit and panel probit regression to examine the data set with 800 firm-year observations from 2010 to 2019.

The study’s first findings show that firms with an assurance service have a negative correlation and are less likely to stay in financial distress situations for an extended period. However, corporate social responsibility (CSR) assurance has a positive but weak correlation with insignificance with financial distress likelihood of firms in India. The authors also find that the engagement of CSR assurance and level of assurance (limited assurance) does not cause a change in a firm financially distress likelihood of firms in India. However, as assurance service providers, auditing firms are more likely to reduce a firm’s likelihood of financial distress. Finally, the study shows that CSRAP (CSR assurance, assurance service providers and level of assurance) does not moderate the association between CSR expenditure and financial distress likelihood of listed firms in India.

The study findings are the first to examine the level of assurance and financial distress of firms according to the authors’ knowledge. This study also adds new knowledge to the factors that cause or reduces the financial distress of listed firms, including CSRAPs.

This paper formulates and analyzes Bayesian model variants for the analysis of systems of spatial panel data with binary-dependent variables. The paper focuses on cases where latent variables of cross-sectional units in an equation of the system contemporaneously depend on the values of the same and, eventually, other latent variables of other cross-sectional units. Moreover, the paper discusses cases where time-invariant effects are exogenous versus endogenous. Such models may have numerous applications in industrial economics, public economics, or international economics. The paper illustrates that the performance of Bayesian estimation methods for such models is supportive of their use with even relatively small panel data sets.

The purpose of this paper is to investigate the role of crop insurance among Hungarian crop farmers and the responses to the introduction of the two-scheme risk management system. Specifically, first, it examines the economic and environmental factors affecting the willingness of farmers to contract crop insurance. Second, it reveals the relationship between having crop insurance and technical efficiency of crop producing farms.

Probit models of panel data are applied to explore the factors of insurance decisions. The relationship between efficiency and insurance is investigated with two-stage data envelopment analysis (DEA) model with double bootstrap using panel data for the 2001 to 2014 period.

The results of Probit model estimations show that the education, the size, the indebtedness of crop producing farms and the new two-scheme risk management system are in positive correlation, while the concentration of farming activity are in negative correlation with the crop insurance contracting. The estimations of two-stage DEA model reveal that crop producing farms with an agricultural insurance contract are more efficient than the farmers without using this risk management tool.

Empirical investigation of the influencing factors of agricultural insurance demand in Hungary and the examination of the relationship between insurance and technical efficiency may contribute to the development of Hungarian risk management system.

A semiparametric stochastic frontier model is proposed for panel data, incorporating several flexible features. First, a constant elasticity of substitution (CES) production frontier is considered without log-transformation to prevent induced non-negligible estimation bias. Second, the model flexibility is improved via semiparameterization, where the technology is an unknown function of a set of environment variables. The technology function accounts for latent heterogeneity across individual units, which can be freely correlated with inputs, environment variables, and/or inefficiency determinants. Furthermore, the technology function incorporates a single-index structure to circumvent the curse of dimensionality. Third, distributional assumptions are eschewed on both stochastic noise and inefficiency for model identification. Instead, only the conditional mean of the inefficiency is assumed, which depends on related determinants with a wide range of choice, via a positive parametric function. As a result, technical efficiency is constructed without relying on an assumed distribution on composite error. The model provides flexible structures on both the production frontier and inefficiency, thereby alleviating the risk of model misspecification in production and efficiency analysis. The estimator involves a series based nonlinear least squares estimation for the unknown parameters and a kernel based local estimation for the technology function. Promising finite-sample performance is demonstrated through simulations, and the model is applied to investigate productive efficiency among OECD countries from 1970–2019.

Using hedging theories, we analyse the variables that determine the decision to hedge with foreign currency debt.

Using a sample of 100 Spanish companies with a significant social and economic role in Latin American during 2004‐2007, we estimated probit models for panel data.

Our results showed that the main determinants are scale economies and the use of derivatives. On the one hand, we found that this hedging is positively related to tax loss carry‐forwards and long‐term economic sectors, and on the other, that it is related negatively to information asymmetries and growth opportunities. Results were mixed for foreign currency exposure.

The limitations of this paper are associated to the availability of information from annual reports and the SABI database, especially the variables in relation to operational hedging. Therefore, as a future line of research, we propose gathering of data on these internal hedging practices in order to obtain more accurate evidence about its use in companies and their relationship with financial hedging.

This paper makes three major contributions to the existing literature. First, it contributes by illustrating currency hedging practices used by Spanish firms – which are important in Latin markets – to manage exchange rate exposure in. Second, we used more variables for the empirical analyses to contrast the hedging theories than previous studies had. Finally, we used a data panel because it allows the control of unobservable heterogeneity and endogeneity problems. Previous studies only used cross‐section estimations.

Este trabajo analiza la cobertura cambiaria con deuda en divisa utilizando las teorías de cobertura.

Se estimaron modelos probit para datos de panel usando una muestra de 100 empresas españolas con un papel económico‐social relevante en Latinoamérica durante el período 2004‐2007.

Los resultados muestran que esta cobertura se relaciona principalmente con las economías de escala y el uso de derivados. Asimismo, existe una relación positiva con la convexidad impositiva y la localización empresarial en sectores orientados al largo plazo, y negativa con las asimetrías informativas y oportunidades de crecimiento. No existe evidencia concluyente para la exposición cambiaria.

La investigación tuvo como limitación la disponibilidad de algunos datos en los informes anuales de las empresas y la base de datos SABI, en especial, aquellos referidos a la cobertura operativa. En consecuencia, una línea de trabajo futura es la mejora de la información sobre esta cobertura, lo cual permitiría aportar mayor evidencia sobre su utilización y su relación con la cobertura financiera.

Esta investigación realiza tres contribuciones a la literatura existente: a) permite un mejor conocimiento de la cobertura cambiaria en empresas españolas internacionales que ejercen un papel relevante en los mercados latinoamericanos; b) utiliza un conjunto de variables más amplio para contrastar las teorías de cobertura que el aplicado en estudios precedentes; c) emplea la metodología de datos de panel y no estimaciones en sección cruzada como presentan los trabajos previos, lo cual permite controlar la heterogeneidad inobservable y posibles problemas de endogeneidad.

Mergers and acquisitions (M&A) are common strategies of firms to increase its performance. Although the motives of M&A are different, the determinants are discreet. The purpose of this paper is to determine the factors affecting M&A activities in the Indian pharmaceutical sector.

Using a balanced panel data of the pharmaceuticals sector in India, this study arrives at the determinants of M&A. The authors use regression techniques such as panel probit models, ordered probit models and matching techniques for a comparable and robust estimates for the factors related to M&A activities at firm level.

The empirical findings suggest that export intensity, import intensity, firm size and R&D intensity as the major determinants of M&A in the Indian pharmaceutical sector. In the context of acquisition, there is a riskiness associated with the any business strategy, for to which a firm may choose to finance the deal either via cash, stock or assets. This study further looks at the firm’s decision on the types of acquisitions and arrives at the determinants of such decisions. The factors such as capital intensity were found more important when acquisition by share was undertaken compared to others. The success of the M&A is observed by considering the financial performance of the firm measured in terms of the profit margin at firm level. Using the propensity score matching technique, this study concludes that M&A have a positive effect on the profit margin in the post-M&A scenario.

The study seeks to add to the existing literature and empirical work done in the field of M&A, by not only looking at determinants that motivate a firm to merge and/or acquire but also if the decision of the firm is reflected positively in the firm’s performance. The study concludes that export intensity is an important factor for the pharmaceutical firms in India since exports are a major proportion of firm’s total sales. Technology transfers as technology imports and R&D conducted by the firm are both very important for the drug manufacturers. Any gap in the flow of drugs to the market would hamper the growth of the firm. The growth of the pharmaceutical industry depends on the close collaboration between small R&D units that lack resources to sell their work and large business houses, both domestic and foreign affiliated that will provide them the required market. However, all comprehensive work has been done in this study to cover all aspects of M&A including the financial pathway taken by the firm yet, the study has certain limitations as it does not take into account the entry and exit of firms from the industry.

Policies related to small and large firms should aim at making them export oriented and multinational affiliated to compete at the international market with corporate restructuring through M&A. This will help in firm’s growth and sharing of knowledge capital.

No such study is conducted that differentiate type of M&A and their determinants for the Indian pharma sector.

International empirical evidence suggests that immigrants have a significantly higher risk than their native counterparts of being on welfare due to their observed characteristics. Nevertheless, it remains unclear if immigrants are also more prone to take-up benefits, conditional on being eligible. The authors explicitly focus on this potential explanation for higher welfare take-up rates. Therefore, the purpose of this paper is to analyze the take-up of social assistance in Germany by immigrants and natives, conditional on being eligible, and hence focus on take-up behavior rather than on determinants of eligibility.

To simulate welfare entitlements, the authors employ a Tax-Transfer Microsimulation Model. It is a static microsimulation model that consists of a detailed implementation of the German tax and transfer system as well as an econometrically estimated labor supply model. After the simulation of welfare entitlements, the authors analyze take-up behavior within a discrete choice framework. The authors estimate probit models of observed welfare benefit take-up for the sample of eligible households taking into account unobserved heterogeneity.

The estimation results do not reveal a significant effect of being a migrant on the probability of taking-up entitlements. The authors found a significant negative effect for citizens from European countries on the take-up probability, which disappeared after controlling for unobserved heterogeneity.

The authors find that it is worthwhile to focus on different groups of immigrants. Although not statistically significant, the rates of non-take-up of welfare benefits differ between different immigrant groups. The analysis further shows that controlling for unobserved heterogeneity is important when analyzing welfare differences between immigrants and natives.

The higher welfare rates of immigrants are explained mainly by their higher risk of welfare dependence. Thus, given that reducing the welfare dependence of immigrants is a political goal, social policy measures to improve welfare recipients’ labor market prospects are contested. However, restricting eligibility rules to reduce entitlements does not seem to be the appropriate measure, because the take-up probability does not differ between immigrants and natives after controlling for individual characteristics.

The authors build on Castronova et al. (2001) and analyze the take-up behavior of individuals who are entitled to basic means-tested welfare benefits for employable persons in Germany. The analysis differs from Castronova et al. (2001) in four points. First, the authors provide first evidence of immigrant-native differences in welfare benefit take-up under the new welfare system in Germany after its reorganization in 2005. Second, the authors apply a microsimulation model of the comlete tax and transfer system in Germany to determine welfare eligibility. Third, the authors extend the analysis to a panel framework and take into account individual unobserved heterogeneity. Fourth, the authors distinguish between different groups of immigrants.

The importance of obtaining a sovereign credit rating from an agency is still underrated in Africa. Literature on the determinants of sovereign credit ratings in Africa is scarce. The purpose of this research is to determine what the determinants are for sovereign credit ratings in Africa and whether these determinants differ between regions and income groups.

A sample of 19 African countries' determinants of sovereign credit ratings are compared between 2007 and 2014 using a panel-ordered probit approach.

The findings indicated that the determinants of sovereign credit ratings differ between African regions and income groups. The developmental indicators were the most significant determinants across all income groups and regions. The results affirm that the identified determinants in the literature are not as applicable to African sovereigns, and that developmental variables and different income groups and regions are important determinants to consider for sovereign credit ratings in Africa.

The results affirm that the identified determinants in the literature are not as applicable to African sovereigns, and that developmental variables and different income groups and regions are important determinants to consider for sovereign credit ratings in Africa. Rating agencies follow the same rating assignment process for developed and developing countries, which means investors will have to supplement the allocated credit rating with additional information. Africa can attract more investment if African countries obtain formal, accurate sovereign credit ratings, which take the characteristics of the continent into consideration.

Will a free trade agreement (FTA) between nations be politically viable? Under political lobbying, which incentives determine whether FTAs will be signed or not? Will FTAs steadily include more countries until we reach a worldwide free trade? The paper addresses these questions using a theoretical analysis model, with “protection for sale” model as the foundation.

Firstly, the economic and political factors are investigated in the theoretical model. Then, the validity of results is tested by econometric analysis with a panel probit model. The data spans 25 key trade nations and covers the period of 2007, 2010 and 2013.

First, the FTA will be endorsed only if the aggregate welfare under FTA, combing lobby contributions with social welfare of both pair nations, is higher than the counterpart without FTA. Otherwise, FTA is rejected. Second, the possibility of concluding a FTA has positive correlation with pair nations’ market sizes and the number of countries with which they have both previously concluded FTAs; the possibility has negative correlation with the distance between pair nations; if pair nations’ aggregate market sizes are large enough, the possibility has positive correlation with government’s sensitivity to social welfare, otherwise the correlation is negative. Third, although FTAs are characterized by the regionalism, they will contribute to multilateral free trade in the long run.

Most researchers do not take the foreign lobbying into account in the manner or the detail that we do here when they study the determinants of FTAs. This paper shows the condition under which FTA is politically viable and incentives behind FTA.

The purpose of this study is to examine factors influencing decisions to repurchase shares on-market in Australia. The present study also examines the role of board size, board independence and chief executive officer duality on the decision to repurchase shares on-market by Australian firms.

This study blends the traditional motivations of share repurchases with the influences of governance. The sample consists of all non-financial firms included in the Australian All Ordinaries Index (AOI) for the period 2004-2010. The repurchase sample consists of 104 repurchases undertaken by 62 firms. A probit panel model is used to analyse the decision to repurchase shares on the market. To account for unobserved heterogeneity, random effects panel models are also used.

Analyses of a sample of non-financial firms included in the AOI for the period 2004-2010 show that size is significantly positively correlated with the decision to repurchase shares, thus supporting the agency cost. Findings also support the undervaluation and signalling hypotheses. Similarly, there is evidence in support of the view that firms repurchase shares to reach their target optimal capital structure. The present study also finds a significant positive association between board independence and the decision to repurchase shares in Australia.

On-market share repurchases help firms to signal their future growth opportunities and resolve agency conflicts. Signals from repurchases also help markets discover the true fundamental values of firms. Governance plays an important role in improving the effectiveness of on-market share repurchases, as independent directors provide both monitoring and discipline which helps to ensure that firms have valid motivations in undertaking share repurchases.

These findings have implications for capital restructuring and governance policies. Principle-based governance frameworks that prevail in countries like Australia work as well as rule-based governance.

This study highlights the complementary roles that financial policies and corporate boards play in corporate governance. Independent boards ensure that firms pursue appropriate financial policies that help resolve agency conflicts and information asymmetry problems.