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In this paper, we propose a model of national innovation production that formalizes the role of trade partnerships as a channel of knowledge spillovers across countries. The model is used to investigate the energy efficiency technological domain in the European Union (EU) using a panel database covering 19 EU countries for the time span 1990–2015. The model is estimated by using a novel empirical strategy which allows to assess the knowledge spillover effects benefiting a country depending on its relative position in the trade network, and correct for common endogeneity concerns. We show that being central in the trade network is a significant determinant of a country’s innovative performance, and that learning-by-exporting mechanisms are responsible for increased innovation performances. We further reveal that neglecting network effects may significantly reduce our understanding of domestic innovation patterns. Finally, we find that the benefits obtained from knowledge diffusion varies with the domestic absorptive capacity and policy mix composition. Our main implication is that policy design informed by network-based case studies could help maximizing the exploitation of positive knowledge spillovers.

This paper aims to analyse the evolution of energy efficiency systems for the residential sector of EU countries over the past twenty years and the associated process of structural change occurred in EU economies. To this purpose, we develop a set of indicators to measure some significant characteristics of the energy efficiency systems and map European countries in terms of four dimensions: energy system, innovation system, policy mix design and export competitiveness. Building on these indicators we develop a cluster analysis identifying non-arbitrary homogeneous country groups according to several characteristics in order to investigate the co-evolution of technological trajectories, energy use performance and structural change in this specific domain. Results suggest the distinction of EU countries into four groups, that are individually and comparatively scrutinized shedding light on how the four dimensions here considered dynamically evolved and interacted within and across countries. Empirical findings reveal that the design of the domestic policy mix may play a key role in shaping technological trajectories and structural change processes that in turns allow an increase in external competitiveness performance. Such positive impact appears to be closely related to the quality and quantity of international relationships with main economic partners.

The European Union (EU) has developed a strategy to mitigate climate change by cutting greenhouse gas (GHG) emissions and fostering low carbon technologies. However, the risk of implementing unilateral policies is that distortive effects are generated at the global scale affecting world energy prices, international competitiveness and the geographical allocation of carbon intensive production processes. Using a dynamic CGE model, we assess the rate of carbon leakage and adverse impacts on competitiveness in a number of scenarios over the period 2010-2050. According to the model results, we highlight two major issues. First, in the case of a unilateral EU climate policy, carbon leakage and negative effects on competitiveness are quite serious. Anti-leakage measures can only mitigate leakage and adverse economic impacts on competitiveness in a limited way. On the contrary, an optimality analysis addressing the environmental effectiveness, cost-effectiveness and political feasibility of alternative policy solutions reveals that the EU long term decarbonisation strategy by investing in energy efficiency and renewable energy might ensure protection of vulnerable manufacturing activities while enhancing the competitiveness of technologically-advanced industries.

The European Union low-carbon strategy includes a range of complementary policies. Potential interactions between instruments and different timing of their implementation can influence the cost and likelihood of achieving the targets. We test the interactions between the three main pillars of the European Union strategy through a dynamic Computable General Equilibrium model (GDynEP) with a time horizon of 2050. Main results are: i) going for the unilateral European Union carbon mitigation target without any complementary technological policy will produce large economic losses; ii) by investing in clean energy technologies (energy efficiency and renewable energy) with a carbon tax revenue recycling mechanism, these losses will decrease substantially; iii) when complementary clean energy technology policies are implemented, the optimal timing of binding targets changes; iv) the higher the public support to clean energy technologies, the larger the economic gains in early adoption of challenging abatement targets. © 2018 Elsevier Ltd We acknowledge financial support received by the EU D.G. Research (research project “CECILIA2050 — Choosing efficient combinations of policy instruments for low-carbon development and innovation to achieve Europe

This paper aims at investigating the main effects on EU employment dynamics related to private and public actions for energy efficiency. The econometric analysis relies on a sector-based panel dataset for 15 EU countries over the time span 1995–2009. The empirical analysis shows that after accounting for the role played by sectoral output growth, investment and innovation activities, sectoral energy efficiency gains display a negative effect on employment growth, in particular in energy intensive industries. On the contrary, we find that public actions towards energy efficiency may produce positive effects on employment dynamics. In particular, the higher incidence of taxation on energy costs, the effort towards energy efficiency gains realized in the public sector industries and the implementation of a comprehensive policy mix for energy efficiency at the country level, are factors positively influencing employment growth. This evidence highlights the complexity of the nexus between energy efficiency and employment dynamics, suggesting that superior employment performances can be achieved when complementarity effects between productivity enhancing activities and energy efficiency actions are realized.