Mandatory disclosure,greenhouse gas emissions and the cost of equity capital: UK evidence of a U-shaped relationship

This paper examines the effects of disclosing greenhouse gas (GHG) information mandatorily on the cost of equity capital (COC) using a longitudinal unbalanced panel database of the United Kingdom's FTSE 350 firms for the period 2011–2016. We use a nonlinear panel quantile regression (PQR) model to examine the relationship between GHG disclosure (GHGD) and COC in the United Kingdom. This technique was supplemented by conducting a two-step generalised method of moment (GMM) estimation to address any concerns related to the potential existence of endogeneity problems. Our findings suggest that high-level GHGD appeared to be negatively associated with COC up to a certain level, which is known as the turning point; then, any increase in GHGD is likely to increase the COC. This means that the nonlinear association between GHGD and COC is evidenced in our study and takes a U shape. Likewise, our findings are associative of a moderating effect of the 2013 carbon disclosure regulation (CDR) on the GHGD–COC nexus. We argue that mandatory GHGD and GHG risk are linked so that those companies that are associated with higher GHG risk have a tendency to be better disclosers. Consequently, we urge regulators to design GHGD regulations in a way that mirrors corporate environmental risk and leads to a lower COC in order to align the interests of corporations with those of the society at large.     

Free Entry under Uncertainty

When focusing on firm’s risk-aversion in industry equilibrium, the number of firms may be either larger or smaller when comparing market equilibrium with and without price uncertainty. In this paper, we introduce risk-averse firms under cost uncertainty in a model of spatial differentiation and show that the impact of uncertainty will increase the number of firms in an industry. With increased uncertainty, the risk premium of the marginal buyer increases by more than the risk premium of the average buyer, so that the price increases by more than the risk premium. When turning to the free entry game, we find that the market generates too many firms.     

Economies of scale and scope in French banking and savings institutions

In this study, we analyze the costs incurred by French commercial banks and savings institutions. One of the main distinctions between these two types of financial entities concerns management costs, which are higher for commercial bank demand deposits than for the savings institutions' tax-free livret A passbook accounts. Taking this differential into consideration by constructing separate models based on different principles, we find that the average overall and operating costs of the savings institutions are half those of commercial banks. As regards operating costs, small savings institutions enjoy a significant cost advantage over small commercial banks, but this cost advantage is smaller when one compares the performance of large savings institutions to the large banks. The results of our econometric estimates suggest a possible explanation, as we find increasing returns to scale for the banks and diminishing returns for the savings institutions. The value of the returns-to-scope parameter at the mean point appears to indicate a complementarity between certain pairs of outputs. Therefore, ouptut diversification appears to have a positive impact on cost levels for both savings institutions and commercial banks; while institution size, measured by the total assets, has a different impact in these two industries.     

Value-at-Risk under Measurement Error

We propose a method for estimating Value-at-Risk that corrects for the effect of measurement errors in stock prices. We show that the presence of measurement errors might pose serious problems for estimating risk measures. In particular, when stock prices are contaminated, existing estimators of Value-at-Risk are inconsistent and might lead to an underestimation of risk, which can result in extreme leverage ratios within the held portfolios. Using a Fourier transform and a deconvolution kernel estimator of the probability distribution function of actual latent prices, we derive a robust estimator of Value-at-Risk in the presence of measurement errors. Monte Carlo simulations and real data analysis illustrate satisfactory performance of the proposed method.     

A ‘new’ economic history of the Middle East and North Africa (MENA) region

This article argues that there is a need to develop a ‘new’ economic and social history of the Middle East and North Africa (MENA) region that is based on exploiting novel sources of data, including (a) primary papyrological sources from the medieval period, (b) primary sources at the region's local archives and European (colonial) archives, and (c) primary sources from the ancient (pre-Islamic) period. The proposed ‘new’ history of the MENA region must be inter-disciplinary for two reasons: (a) digitizing and employing these novel data sources in research requires the collaboration of social scientists, historians, archaeologists, anthropologists, demographers and papyrologists, as well as the co-operation of MENA-based scholars who have better access to MENA's local archives, and (b) even if these novel sources are digitized, data limitations are likely to impose a constraint on the reach of quantitative analysis and thus necessitate an inter-disciplinary methodology that combines quantitative evidence with historical analysis.     

The effects of regional trade integration and renewable energy transition on environmental quality: Evidence from South Asian neighbors

Improving environmental quality across South Asia has become one of the utmost important policy agendas of the concerned governments. The susceptibility of the majority of the South Asian countries to multifaceted climate change adversities has motivated the need to identify the factors that can function to ensure environmental sustainability across South Asia. Although several studies have highlighted the importance of globalization and cleaner energy use in tackling the environmental degradaton issues of the South Asian countries, very little is known regarding the impacts of regional trade and renewable energy transition in this regard. Hence, this paper aims to scrutinize the effects of enhancing intra-regional trade integration and undergoing renewable energy transition on per capita carbon dioxide emissions in the context of six South Asian nations between 1990 and 2016. The results from the recently developed cross-sectionally augmented autoregressive distributed lag regression approach, accounting for cross-sectional dependency and slope heterogeneity issues, reveal that facilitating trade among the South Asian neighbors reduces carbon emissions in both the short and long run. Moreover, enhancing the share of renewable energy in the aggregate energy consumption figures is also found to reduce carbon dioxide emissions in both the short and long run. Furthermore, both regional trade integration and renewable energy transition are found to jointly reduce carbon dioxide emissions in South Asia. The results also authenticate the existence of the environmental Kuznets curve hypothesis, while financial development and urbanization are found to boost carbon dioxide emissions only in the long run.     

Value Orientations, Income and Displacement Effects, and Voluntary Contributions

Identifying the value orientations of subjects participating in market or non-market decisions by having them participate in a ring game may be helpful in understanding the behaviour of these subjects. This experiment presents the results of changes in the centre and the radius of a value orientations ring in an attempt to discover if the measured value orientations exhibit income or displacement effects. Neither significant income effects nor displacement effects are identified. An external validity check with a voluntary contribution game provides evidence that value orientations from rings centred around the origin of the decision-space explain significant portions of voluntary contributions while value orientations from displaced rings do not.     

Credit risk,owner liability,and bank loan maturities during the global financial crisis

We relate credit risk and owners’ personal guarantees to bank loan maturities during the global financial crisis. The findings, which remain robust to reverse causality, show that firms rated as low risk, with a strong relationship with the bank, whose owners provided personal guarantees and with large loan sizes obtained longer maturities. Banks with larger nonperforming loans provided loans with shorter maturities. Firms with low‐ and high‐risk ratings that provided owners’ personal guarantees obtained longer maturities. These findings shed additional light on the relationship between risk and loan maturities and the role of personal guarantees in reducing information asymmetries.     

Credit rationing, interest rates and capital accumulation

A simple endogenous growth model is developed to characterize credit rationing through the capital accumulation process. The model shows that credit rationing on investment loans decreases as capital accumulates and the enforcement cost decreases. We find that the evolution of the interest rate factor (lending interest rate/depositing interest rate) has a similar pattern to the credit rationing probability. However, simulations show that the evolution of the interest rate spread through the capital accumulation process depends on the degree of the enforcement cost. In the empirical part of the paper, we consider fifty-two countries, at different stages of development, over the period 1995–2005. We confirm the theoretical findings relative to the evolution of the interest rate spread and interest rate factor with capital accumulation. These results suggest that, for economies endowed with costly contract enforcement, the interest rate factor could be a better proxy of credit rationing than the interest rate spread.