The existing literature on renewable energy consumption and economic growth nexus produces mixed results as the effect of renewable energy consumption on economic growth can be either positive, negative or not significant. This paper examines the causal link between renewable energy use and economic growth by employing a threshold model using a 103-country sample in the 1995 to 2015 period. We find that the relationship between renewable energy consumption and economic growth depends on the amount of renewable energy used. Our results demonstrate that the effect of renewable energy consumption on economic growth is positive and significant if and only if developing countries or non-OECD countries surpass a certain threshold of renewable energy consumption. However, if developing countries use renewable energy below a given threshold level, the effect of renewable energy consumption on economic growth is negative. However, we also find that renewable energy consumption has no significant effect on economic growth in developed countries and a positive and significant effect on economic growth in OECD countries. The findings of this paper suggest that for developing countries to realize positive economic growth from their investment to renewable energy, they need to surpass a certain threshold of renewable energy consumption.

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This paper presents the development of the FEEM Sustainability Index (FEEM SI), a composite index including 19 different indicators grouped in the three classical pillars of sustainability -economic, social and environmental. We present the relevance of multi-attribute aggregation methodologies when dealing with such complex concepts and apply an aggregation methodology used for this case study: the Choquet integral operator. First, we normalize each sustainability indicator with the use of a benchmarking procedure with a smooth target of sustainability. We then develop an aggregation tree of sustainability criteria and a questionnaire to measure the values that experts attribute to individual sustainability criteria and their interaction. This survey suggests that a majority of experts consider sustainability criteria as complementary to each other. After combining the preferences of different experts to establish a consensus, we construct the FEEM SI using the Choquet integral aggregation procedure. The results for sustainability levels show that countries that are ranked at higher (lower) positions are those that have better (worse) outcomes in at least in two final pillars, respectively. Finally, we conduct a robustness analysis by repeating the aggregation procedure with different convex combinations of experts' preferences. The results indicate that, while sustainability levels of countries do vary with the expert preferences, countries' respective rankings remain mainly the same, irrespective of the combination of experts' preferences.

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Foreign direct investment (FDI) flows from developed to developing countries may increase carbon emissions in developing countries as developing countries are seen as pollution havens due to their lenient environmental regulations. On the other hand, FDI flows from the developed world may improve management practices and advanced technologies in developing countries, and an increase in FDI flows reduces carbon emissions. Most of the existing studies examine the relationship between FDI flows and carbon emissions by using aggregate FDI flows; however, this paper contributes to the literature by analyzing the impact of FDI flows on carbon emissions in Brazil, Russia, India, China, and South Africa (BRICS) between 1993 and 2012 using bilateral FDI flows from eleven OECD countries. According to our empirical results, from which OECD country FDI flows to BRICS countries matters for carbon emissions in BRICS countries. Our results confirm that FDI flows to BRICS countries from Denmark and the UK increase carbon emissions in BRICS countries, confirming the pollution haven hypothesis. On the other hand, FDI that flows from France, Germany, and Italy reduced carbon emissions in the BRICS countries, confirming the pollution halo effect. FDI flows from Austria, Finland, Japan, Netherlands, Portugal, and Switzerland have no significant impact on carbon emissions in BRICS countries. The BRICS countries should promote clean FDI flows by reducing environmental damages, and investing countries should be rated based on their environmental damage in the host countries.

This paper uses recent multidimensional well-being measurements to examine multidimensional well-being and inequality across the European regions in 2000 and 2014 with the use of eleven well-being indicators from the OECD Better Life Index. We use generalized mean aggregation method with alternative parameters to allow different substitutability and complementarity levels between well-being dimensions, which range between perfect substitutability and some degree of complementarity between the dimensions, to examine well-being and inequality across the European regions. Accounting for the interactions between the well-being dimensions matters for the multidimensional well-being and inequality across the European regions. The results show that the multidimensional well-being across the European regions are relatively lower when the dimensions are more seen as complements compared to the case when they are considered to be perfect substitutes. Furthermore, there is also a higher degree of multidimensional inequality across the European regions when the dimensions are considered to have some complementarity. Changes in well-being dimensions between 2000 and 2014 indicates that multidimensional well-being improved and inequality decreased in the personal and community well-being categories, but remained unchanged in material well-being category across the European regions irrespective of interaction levels between well-being dimensions. Policy implications of these multidimensional well-being indices are also evaluated by using these indices to determine the eligible regions for the European Union structural funds where the number eligible regions shows some variation depending on whether the dimensions are perfect substitutes or more of complements.

An optimal weighting scheme is proposed to construct economic, political and financial risk indices in emerging markets using an approach that relies on consistent tests for stochastic dominance efficiency. These tests are considered for a given risk index with respect to all possible indices constructed from a set of individual risk factors. The test statistics and the estimators are computed using mixed integer programming methods. We derive an economic, political and financial risk ranking of emerging countries. Finally, an overall risk index is constructed. One main result is that the financial risk is the leading contributor to sovereign risk in emerging markets followed by the economic and political risk.JEL Classifications: C12; C13; C14; C15; G01