The influence of managers' awareness of climate change,perceived climate risk exposure and risk tolerance on the adoption of corporate responses to climate change

Uncertainties posed by climate change limit companies' ability to understand implications of global warming on business and society at large, hampering the adoption of tangible organizational responses to climate change. Understanding climate action thus requires to investigate influential factors of decision-making under uncertainty, which implies acknowledging managerial interpretations and perceptions about climate issues. Drawing insights from the literature on climate inaction and from corporate sustainability literature, the present study examines awareness of climate change and perceived exposure to climate risks as antecedents of corporate responses to climate change, drawing on a survey of managers of Italian manufacturing companies. In addition, the study tests the moderation of risk tolerance on the relation between perceived climate risk exposure and climate action, suggesting that risk attitudes are a significant factor of decision-making under climate uncertainty. The results support the hypothesis of the model and thus provide several contributions to the literature on business and climate change. Managerial implications and avenues for future research are also discussed.     

For green or not for green? The effect of cooperation goals and type on environmental performance

Although many scholars have demonstrated that companies engaged in collaborations achieve better environmental performance than other companies, existing studies have not analyzed in depth whether this effect changes considering the characteristics of cooperation. Our paper aims to explore whether collaboration with other companies always has a positive effect on environmental performance or whether it depends on cooperation goals, collaboration type, or company size. Empirical analysis based on a sample of 773 European companies demonstrated that an external source of knowledge is an important way to foster firms' environmental proactivity, especially when environmental goals are shared at the basis of collaboration. Second, we verified that companies involved in JVs with environmental goals achieve greater environmental performance than companies that use M&As to acquire external knowledge. Finally, we demonstrated that it is more important for small companies to be involved in environmental collaboration than larger ones.     

Intergenerational Earnings Inequality: New Evidence From Italy

Using an innovative dataset built by merging survey and administrative data, we provide new estimates of intergenerational earnings’ inequality between fathers and sons in Italy, extending previous evidence in several directions. We rely on the TSTSLS method to predict fathers’ earnings and compute intergenerational elasticities and imputed rank–rank slopes, trying to reduce estimation biases. Confirming previous evidence, we find that Italy is characterized by a high intergenerational inequality in cross-country comparison. Extending previous analyses, we show that the intergenerational association increases when sons at older ages and multi-annual averages of pseudo-fathers’ and sons’ earnings are considered. We also find that the intergenerational persistence differs across geographical macro-areas and is high also for daughters, especially when family earnings are considered. Furthermore, estimates where possible mediating factors of the parental influence are included among the covariates show that a high intergenerational association persists when sons’ education and occupation are controlled for.     

EXTERNALITIES AGGREGATION IN NETWORK GAMES

We generalize the results on the monotonicity of equilibria for network games with incomplete information. We show that not only the distinction between strategic complements and strategic substitutes is important in determining the nature of the Bayesian Nash equilibria, but the nature of the statistic itself is also determinant. We show that understanding the underlying forces behind people's choices may be of fundamental importance for a policymaker that wants to incentivize efficient behavior.     

Dynamic Tax Evasion with Habit Formation in Consumption*

We model the optimal intertemporal decision of an agent who chooses tax evasion and consumption, over an infinite lifetime horizon, where consumption is driven by habits. We find the following: (i) tax evaders reduce consumption in the early stages of habit accumulation and increase it over time; (ii) habit formation has a dampening effect on tax evasion; (iii) neglecting tax evasion can lead to habit overestimation; (iv) the effect of the tax rate on tax evasion is ambiguous; (v) heavy fines are more efficient than frequent controls in reducing tax evasion.     

Well-being and the Great Recession in Spain

This letter assesses the impact of the Great Recession on well-being in Spanish provinces using two alternative composite indicators of objective well-being that include somewhat different dimensions. Whereas the crisis notably eroded economic well-being, its impact on overall well-being – which in addition to economic dimensions also includes non-economic ones – was imperceptible. This result points to the need to carefully define and assess well-being in empirical analyses.     

Private equity characteristics and performance: An analysis of North American venture capital and buyout funds

The paper investigates the relationship between fund performance and fund characteristics of North American private equity (PE) funds, by analyzing the interactions of fund size, fund sequence, and past fund performance on traditional fund return measures. The empirical evidence is based on both linear and polynomial regressions, on a sample of 345 venture capital (VC) and 411 buyout (BO) funds with vintage year over the period 1995–2010. We document a concave relationship between fund size and performance, persistence in PE performance, as well as a convex relationship between fund sequence and performance. We suggest both the optimal fund size and the optimal fund sequence number. Economic implications for investors and general partners are discussed as well.     

MIND THE GAP: UNEMPLOYMENT IN THE NEW EU REGIONS

Abstract.  The paper surveys the theoretical and empirical literature on regional unemployment during transition in Central and Eastern Europe. The focus is on optimal speed of transition (OST) models and on comparison of them with the neo-classical tradition. In the typical neo-classical models, spatial differences essentially arise as a consequence of supply side constraints and institutional rigidities. Slow-growth, high-unemployment regions are those with backward economic structures and constraints on factors mobility contribute to making differences persistent. However, such explanations leave the question unanswered of how unemployment differences arise in the first place. Economic transition provides an excellent testing ground to answer this question. Pre-figuring an empirical law, the OST literature finds that the high degree of labour turnover of high unemployment regions is associated with a high rate of industrial restructuring and, consequently, that low unemployment may be achieved by implementing transition more gradually. Moreover, international trade, foreign direct investment and various agglomeration factors help explain the success of capital cities compared to peripheral towns and rural areas in achieving low unemployment. The evidence of the empirical literature on supply side factors suggests that wage flexibility in Central and Eastern Europe is not lower than in other EU countries, while labour mobility seems to reinforce rather than change the spatial pattern of unemployment.     

MODELING THE EVOLUTION OF EXPECTATIONS AND UNCERTAINTY IN GENERAL EQUILIBRIUM

We develop methods to solve general equilibrium models in which forward‐looking agents are subject to waves of pessimism, optimism, and uncertainty that turn out to critically affect macroeconomic outcomes. Agents in the model are fully rational and conduct Bayesian learning, and they know that they do not know. Therefore, agents take into account that their beliefs will evolve according to what they will observe. This framework accommodates both gradual and abrupt changes in beliefs and allows for an analytical characterization of uncertainty. We use a prototypical Real Business Cycle model to illustrate the methods.