In the present paper we discuss the problem of estimating model likelihoods from the MCMC output for a general mixture and switching model. Estimation is based on the method of bridge sampling (Meng and Wong, 1996), where the MCMC sample is combined with an iid sample from an importance...

Voluntary environmental agreements have been popular with government agencies in several countries. However, many questions remain about their efficiency as a regulatory tool. Recent analyses suggest that they are more effective than classical regulatory or economic approaches when dealing with...

This paper focuses on the results of the research work carried out by Fondazione Eni Enrico Mattei (FEEM) within the WISE project. This project aims at investigating the effects and the impacts of extreme weather events, particularly very warm summers, mild winters and storms, on the...

Despite favourable ecological and economic results, many developing countries have not yet adopted an integrated pesticide management (IPM). Given rising marginal costs and diminishing marginal benefits from IPM technology transfer, an optimal control framework is used to identify optimal rates...

This article presents a new framework for the impact evaluation studies of programs that aim to increase efficiency and productivity of firms. Likelihood ratio statistics support a spatial autoregressive stochastic production model that estimates the technical efficiencies of matched subsamples...

It only took an apple to fall on the head of Newton and what happened is history. Even though the book has nothing to do with physics we feel research effects business across the world as gravity affects life matter. Gravity is a key force behind the existence of life on earth, same way...

Wind power is the most important renewable energy source in many countries today, characterized by a rapid and extensive diffusion since the 1990s. However, it has also triggered much debate with regard to the impact on landscape and vista. Therefore, siting processes of wind farm projects are...

The aim of this paper is to analyze the relationship between different types of uncertainty and stock returns of the renewable energy and the oil & gas sectors. We use the quantile regression approach developed by Koenker and d’Orey (1987; 1994) to assess which uncertainties are the potential...

This paper aims to investigate the effects of urbanization, renewable and non-renewable energy consumption, trade liberalization, and economic growth on pollutant emissions and energy intensity in selected Asian developing countries from 1980 to 2010. We use both linear and nonlinear panel data...

This paper analyzes the impact of managerial attributes such as overconfidence on firms' environmental performance. We hypothesize that overconfident CEOs tend to underestimate firms' environmental risk leading to a low level of ex-ante environmental safeguards and hence, lower environmental...