Forecasting the diffusion of photovoltaic systems in southern Europe : A learning curve approach

Most analysts disagree upon whether photovoltaic systems (PV) will be able to play an important role in the energy scenarios of the future. A few scholars also question the appropriateness of policies that envisage the use of public subsidies to stimulate the growth of this industry and to accelerate market penetration. This paper contributes to this debate by examining whether carefully designed policies may initiate a process of large-scale diffusion of grid-connected PV, even without the deployment of external subsidies. Building upon a disaggregated characterization of the electricity market, it takes endogenously into account the learning curve phenomenon and simulates the diffusion of PV building-integrated systems in five European countries. The analysis is restricted to crystalline silicon systems and is repeated under four different macroeconomic scenarios corresponding to four different energy policies. The results suggest that already today there are opportunities for PV diffusion in many islands of the Mediterranean region, which may trigger sufficient scale economies to render the technology competitive in larger markets. They also show that the diffusion process could be accelerated through the implementation of carbon-tax policies that support initial penetration. The environmental benefits (net avoided CO₂ emissions over the system life cycle) associated with the forecasted penetration are also evaluated.     

Personalized charity advertising. Can personalized prosocial messages promote empathy,attitude change,and helping intentions toward stigmatized social groups?

This study examines the role of personalized charity advertising in promoting empathy, attitude change, and helping intentions toward stigmatized social groups. Based on theories of message involvement, empathy, and reactance, we predicted that higher levels of involvement elicited by a personalized charity advertisement would reinforce empathy and prosocial outcomes. An online experiment was conducted using a personalized and a nonpersonalized version of a charity advertisement for a campaign soliciting donations of winter coats for homeless people. As expected, structural equation modeling revealed a positive indirect effect of personalization on prosocial outcomes (attitudes and behavioural intentions toward homeless people, and willingness to donate to the campaign) that was mediated by involvement and empathy. However, in addition to promoting involvement and empathy, personalization also led to heightened reactance, which detracted from the positive effects. Theoretical as well as practical implications of the findings for personalized charity advertising are discussed.     

Composition of trade flows and the effectiveness of fiscal devaluation

We empirically explore whether the magnitude of the effects of fiscal devaluation, which consists of reducing the employers’ social security contribution rate and increasing the value‐added tax rate, depends on the composition of trade flows. Our sample comprises data on bilateral balances of trade between 28 European Union (EU) Member States and their main EU trade partners over the 2000–14 period. We use robust ordinary least squares regressions, controlling for the country‐pair and time fixed effects, to test whether there are differences in the sizes of relationships between these taxation forms and bilateral trade balances for different types of goods, by distinguishing between: (i) consumer, intermediate and capital goods; and (ii) labour and capital‐intensive goods. Our results show that the overall effectiveness of fiscal devaluation depends on the composition of trade flows. Value‐added tax is more strongly (positively) associated with (bilateral) balances of trade in consumer goods, compared to balances of trade in capital and intermediate goods. The employers’ contribution rate, in contrast, is more tightly (negatively) related to balances of trade in capital goods. The latter finding also holds true for trade balances of labour‐intensive goods compared to balances of capital‐intensive goods.     

Magic mirror in my hand … How trade mirror statistics can help us detect illegal financial flows

Misreporting tricks of different sorts applied to the transfer of goods between different countries are typically exploited by criminals worldwide for money laundering ends. The main international anti‐money laundering organisations started paying attention to this phenomenon, dubbed “trade‐based money laundering” (TBML), a long time ago, but the failure to develop appropriate analytical tools has reportedly dogged preventive actions. Nonetheless, literature has widely advocated the possibility that the analysis of inconsistencies in mirrored bilateral trade data could provide some help. By building on previous contributions in the field, this work sets up a model factoring in the main structural determinants of discrepancies between mirrored data concerning Italy's 2010 to 2013 external trade at a highly detailed (6‐digit) level of goods classification for each partner country. Point estimates of freight costs are used to net each observation of the corresponding cif/fob discrepancy. The regression estimates are then deployed in order to compute TBML risk indicators at a country/4‐digit product level. Based on the indicators, rankings of countries and product lines can be compiled, which may be used for a risk‐driven search of potential illegal commercial transactions.     

The Relevance of Nationality and Industry for Stakeholder Salience: An Investigation Through Integrated Reports

The aim of this research is to investigate the web of business-stakeholder relationships emerging from first integrated reports. Drawn from the stakeholder salience theory, the analysis focuses on some factors that may cause specific stakeholders to be crucial for some organizations and their ability to create value over time. More precisely, findings highlight the importance of industry membership, while entities’ nationality seems not to be a differentiating element. This study contributes to the corporate disclosure literature by analyzing an emerging reporting tool, the integrated report, and demonstrating that the link between some business characteristics and stakeholder salience seems fundamental for the representation of the impact of corporate social and environmental responsibilities on the economic performance. From a practical point of view, the impact of industry membership on corporate disclosures encourages the drafting of differentiated reporting standards across sectors, in order to improve comparability, materiality, and reliability of information.     

Investment trust IPOs: Issuing behaviour and price performance Evidence from the London Stock Exchange

In this paper, we document an average first day return of 1.91 percent for the population of 105 investment trust IPOs during the period from January 1984 through August 1992 on the London Stock Exchange. This is the first study that finds evidence of significant first day returns for a sample of closed-end fund IPOs. The results also suggest that investment trust IPOs are subject to ‘hot’ issue periods. These tend to occur when there is a marked narrowing in the discounts of seasoned investment trusts. Initial gains are, however, short lived; by the end of their first year, investment trust IPOs substantially underperform a number of relevant benchmarks and, on average, trade at discounts to their underlying net asset values.     

Heterogeneous Firms,Globalisation and the Distance Puzzle

Despite the strong pace of globalisation, the distance effect on trade is persistent or even growing over time (Disdier and Head, 2008). To solve this distance puzzle, we use the recently developed gravity equation estimator from Helpman et al. (2008) (HMR henceforth). Using three different data sets, we find that the distance coefficient increases over time when ordinary least squares (OLS) is used, while the non‐linear estimation of HMR leads to a decline in the distance coefficient over time. The distance puzzle, thus, arises from a growing bias of OLS estimates. The latter is explained by an increase in the importance of the bias from omitting the number of heterogeneous exporting firms relative to the bias from omitting zero trade flows. Furthermore, we show that including zero trade flows cannot solve the distance puzzle when using HMR. The HMR estimates are strongly correlated with the time pattern in freight costs reported by Hummels (2007).