The Importance of Revenue Sharing for the Local Economic Impacts of a Renewable Energy Project: A Social Accounting Matrix Approach

As demand for electricity from renewable energy sources grows, there is increasing interest, and public and financial support, for local communities to become involved in the development of renewable energy projects. In the UK, “Community Benefit” payments are the most common financial link between renewable energy projects and local communities. These are “goodwill” payments from the project developer for the community to spend as it wishes. However, if an ownership stake in the renewable energy project were possible, receipts to the local community would potentially be considerably higher. The local economic impacts of these receipts are difficult to quantify using traditional Input-Output techniques, but can be more appropriately handled within a Social Accounting Matrix (SAM) framework where income flows between agents can be traced in detail. We use a SAM for the Shetland Islands to evaluate the potential local economic and employment impact of a large onshore wind energy project proposed for the Islands. Sensitivity analysis is used to show how the local impact varies with: the level of Community Benefit payments; the portion of intermediate inputs being sourced from within the local economy; and the level of any local community ownership of the project. By a substantial margin, local ownership confers the greatest economic impacts for the local community.

Adaptation or Social Comparison? The effects of income on happiness.

Two mechanisms have attracted considerable attention from researchers studying the effects of income on happiness: adaptation and social comparison. In this paper we study both mechanisms using a panel of British households. Besides dealing with the UK case in detail, the paper contributes to the literature by considering the two mecha- nisms together and testing for them both separately and jointly. Our results strongly support the existence of adaptation effects but find only weak evidence in favour of social comparison.

Using VARs and TVP-VARs with Many Macroeconomic Variables

This paper discusses the challenges faced by the empirical macroeconomist and methods for surmounting them. These challenges arise due to the fact that macroeconometric models potentially include a large number of variables and allow for time variation in parameters. These considerations lead to models which have a large number of parameters to estimate relative to the number of observations. A wide range of approaches are surveyed which aim to overcome the resulting problems. We stress the related themes of prior shrinkage, model averaging and model selection. Subsequently, we consider a particular modelling approach in detail. This involves the use of dynamic model selection methods with large TVP-VARs. A forecasting exercise involving a large US macroeconomic data set illustrates the practicality and empirical success of our approach.

Mafia in the ballot box

We study the impact of organized crime on electoral competition. Assuming that the mafia is able to bring votes to the supported party in exchange of money, we show that (i) the strongest party is willing to pay the highest price to secure mafia services; (ii) the volume of electoral trade with the mafia increases with political competition and with the efficiency of the mafia. Studying in detail parliamentary elections in Sicily for the period 1946- 1992, we document the significant support given by the Sicilian Mafia to the Christian Democratic party, starting at least from the 1970s. This is consistent with our theoretical predictions, as political competition became much tighter during the 1970s and the Sicilian mafia experienced an extensive centralization process towards the end of the 1960s, which increased substantially its control of the territory. We also provide evidence that in exchange for its electoral support the mafia got economic advantages for its activities in the construction industry.