Investment by energy firms in innovation can have substantial economic and environmental impacts and benefits. Internal R&D is the main input and driver of the innovation process, but innovation involves other activities, including capital purchases and other current expenditures. While the R&D activities of energy firms have been analysed, few studies have examined the typology of their innovation activities. Here, we analyse the impact of the main characteristics of the sector’s firms on their decisions to invest in each of three types of innovation activity: namely internal R&D; external R&D; and, the acquisition of advanced machinery, equipment or software. In conducting this analysis, we take the potential persistence of innovation activities into account. We also examine the role that different innovation objectives have on firms’ investment decisions. Given that engagement in a specific type of innovation may result from decisions that are not taken independently of each other, we analyse whether there is any complementarity between the three innovation activities. In carrying out the empirical analysis, we draw on data for private energy firms included in the Technological Innovation Panel (PITEC) for Spanish firms for the period 2004- 2013. We use panel triprobit models to examine potential complementarity.

Worldwide, countries are implementing policies to develop greener energy markets. In Europe, the ̈2030 Energy and Climate Package ̈ asks for further reductions of GHG, renewable sources integration, and energy efficiency targets. These objectives may counterbalance each other modifying the electricity flows, and hence, affecting the electricity losses. Precisely, the extra amount of energy necessary to cover losses is the departure point from which we analyze the impact of losses on CO2 emissions. With this purpose we use Spanish market and system data with hourly frequency from 2011 to 2013. Our results show that electricity losses significantly explain CO2 emissions, with higher CO2 emissions when covering losses that those on the average system. Additionally, we find that the market closing technologies used to cover losses have positive and significant impacts on CO2 emissions: when polluting technologies (coal or combined cycle) close the market, the impact of losses on CO2 emissions is greater in comparison with the rest of technologies (CHP, renewables or hydropower). From these results we make some policy recommendations to reduce the impact of losses on CO2 emissions.

The literature has traditionally approached fuel poverty as a result of poverty. Fuel poor are those households who cannot pay fuel bill and have to live in cold ambient, with grave effects on their health. As fuel poverty is actually considered in poverty’s analysis, there is little discussion about whether homeowners (who own housing wealth and, theoretically, cannot be poor) could suffer this problem. This paper assesses fuel poverty amongst Spanish households. It deeps on how poverty situations triggers fuel poverty in the context of housing and discusses whether or not housing tenure causes fuel poverty due to housing characteristics, those usually evaluated as poverty component. The paper finds empirical evidence about the relevance of tenancy when it comes to explain the likelihood of falling under the poverty line as well as about the fact that fuel poverty has become a systematic situation in all poor Spanish households regardless of their tenant status. Using micro-data obtained from the Quality of Life Survey (EU-SILC) for Spain, the data are segmented by residential tenure and household type, calculating poverty lines for homeowners, renters (both at market prices and below them), and free-rent housing ‒the four tenure formulas existing in the Spanish housing market‒ and including two variables to capture fuel poverty situations. A logistic regression model is applied and results suggest that fuel poverty clearly appears as an expression of poverty at any tenancy type.

Retail electricity prices have substantially increased in the last decade in the European Union (EU) as a result of different regulations, raising the concern of policy makers. The growth in the support costs for electricity from renewable energy sources (RES-E) has often been singled out as a main driver of these prices. The aim of this paper is to analyse the degree of influence of RES-E promotion costs on the evolution of the retail price of electricity in the EU Member States. The analysis is carried out for households as well as for industry, with the help of a panel data econometric model. Our results show that the impact of renewable energy promotion costs on the retail electricity prices is positive and statistically significant, although relatively small. Differences across consumer types can be observed. An increase of 1% in those costs induces an average increase of only 0.023% in industrial retail prices and 0.008% in the residential retail prices. This impact on retail prices is mediated by the type of support scheme being adopted, with price-based support instruments showing a greater effect than quantity- based ones.

To face the challenges posed by climate change, environmental R&D and innovation are critical factors if we hope to cut emissions; yet, investment in environmental R&D remains below the social optimum. The aim of this paper is to analyse the determinants of investment in environmental innovation and to detect the differences, if any, with the determinants of investment in general innovation. R&D investment is one of the key variables for analysing the resources devoted to innovation; however, data constraints hamper the use of this variable when examining the drivers of eco-innovation. The literature reports that demand factors in general and collaboration with stakeholders play a crucial role in generating such investment. In addition, this paper similarly examines the relationship between environmental innovation R&D expenditure and a range of policy instruments, including environmental regulation and other policy measures including R&D subsidies and environmental taxes. The empirical analysis is carried out for 22 manufacturing sectors in Spain for the period 2008– 2013. To overcome problems of data availability, we construct a comprehensive database from different surveys.

Although electricity losses constitute an important, but inevitable, amount of wasted resources (and a share that has to be funded), they remain one of the lesser known parts of an electricity system, and this despite the fact that the decisions of generators, transmission and distribution system operators and consumers all impact on them. In this paper we analyse the effects of such losses from two perspectives: from that of consumption or outflows and from that of generation or inflows. Given that end-user consumption varies across the day, consumption has direct implications for electricity losses. Indeed, demand-side management policies seek to encourage consumers to use less energy during peak hours and to reduce network congestion. At the same time, from the perspective of generation, the recent growth in distributed generation has modified the traditional, unidirectional, downward flows in electricity systems. This affects losses as energy is produced in the lower voltage network, which is closer to points of consumption. In this paper we evaluate the impact of consumption patterns and different generation technologies on energy losses. To do so, we draw on data from a real electricity system with a high level of renewable penetration, namely, that of Spain between 2011 and 2013. To the best of our knowledge, this is the first paper to analyse the real impact of consumption and the effect of each generation technology on energy losses, offering an opportunity to evaluate the potential benefits of demand-side management policies and distributed generation. Based on our results, we make a number of regulatory recommendations aimed at exploiting to the full these potential benefits. Our results should serve as a baseline for countries that are in the early stages of implementing these policies.