• European Marine Science
• 8. Economic growth close

The residential energy demand is growing steadily and the trend is expected to continue in the near future. At the same time, under the impulse of economic crises and environmental and energy policies, many households have experienced reductions in real income and higher energy prices. In the residential sector, the number of fuel-poor households is thus expected to rise. A better understanding of the determinants of residential energy demand, in particular of the role of income and the sensitivity of households to changes in energy prices, is crucial in the context of recurrent debates on energy efficiency and fuel poverty. We propose a panel threshold regression (PTR) model to empirically test the sensitivity of French households to energy price fluctuations—as measured by the elasticity of residential heating energy prices—and to analyze the overlap between their income and fuel poverty profiles. The PTR model allows to test for the non-linear effect of income on the reactions of households to fluctuations in energy prices. Thus, it can identify specific regimes differing by their level of estimated price elasticities. Each regime represents an elasticity-homogeneous group of households. The number of these regimes is determined based on an endogenously PTR-fixed income threshold. Thereafter, we analyze the composition of the regimes (i.e. groups) to locate the dominant proportion of fuel-poor households and analyse their monetary poverty characteristics. Results show that, depending on the income level, we can identify two groups of households that react differently to residential energy price fluctuations and that fuel-poor households belong mostly to the group of households with the highest elasticity. By extension, results also show that income poverty does not necessarily mean fuel poverty. In terms of public policy, we suggest focusing on income heterogeneity by considering different groups of households separately when defining energy efficiency measures. We also suggest paying particular attention to targeting fuel-poor households by examining the overlap between fuel and income poverty.

International audience; The study examines the role China plays compared with the US in transmitting contagion to South Asia. Trade intensity, economic downturns, and negative net equity capital outflows positively influence dynamic conditional correlations between South Asian and US/Chinese financial stock returns. Chinese and US financial firms transmitted more spillovers than they received during the global financial crisis. Results are robust to the use of USD or local currency returns, and the alternative specification of the Diebold–Yilmaz model. The role of Chinese financial firms in transmitting shocks to South Asia may be of interest to policymakers, regulators, and other market participants.

Abstract Productive diversification has long been acknowledged as a volatility-reducing strategy. Yet, recent theoretical contributions have shown that, in strongly diversified economies, idiosyncratic shocks could translate into aggregate volatility via the network of inter-industry linkages. By exploiting exogenous cross-country-sector variations in demand shocks during the 2008 Great Recession, we provide empirical evidence that the network properties of a sector affected by an individual shock determine its propensity to transmit volatility to the rest of the economy. More precisely, shocks to sectors that are located in denser parts of a production network fade out over a large number of alternative paths of propagation due to substitution effects, whereas shocks to sectors that are more influential within the network generate aggregate fluctuations through contagion effects. We also find that the impact of sectoral shocks on aggregate volatility (1) is not conditional on sector-level differences in trade intensity, and (2) is larger for developing countries because they tend to have more isolated influential sectors and larger structural holes in their production network. Our results thus help consolidate the two opposite views in the literature on the impact of productive diversification on aggregate volatility.

The aim of this paper is to investigate bi-directional spillovers into residential and industrial sectors induced by energy efficiency improvement (EEI) in both the short- and long-term, and the impact of nesting structure as well as the size of elasticities of substitution of production and utility functions on the magnitude and the transitional dynamic of rebound effect. Developing a dynamic general equilibrium model, we demonstrate that residential EEIs spillovers into the industrial sector through the labor supply channel and industrial EEIs spill-overs into the residential sector through the conventional income channel. Numerical simulations calibrated on the U.S. suggest that not taking into account these spillover effects could lead to mis-estimate the rebound effect especially of residential sector EEIs. We also demonstrate how the size and the duration of the rebound effect depend on the value of elasticities of substitution. Especially, the elasticity of substitution between energy and non-energy consumption in household utility and the elasticity of substitution between physical capital and labor in production play a major role. Numerical simulations suggest that alternative sets of value for the elasticities of substitution may give sizable different patterns of rebound effects in both the short- and long-term. In policy terms, our results suggest that energy efficiency policies should be implemented simultaneously with rebound effect offsetting policies by considering short- and long-term wide-economy feedbacks. As a consequence, they recall for considering debates about what type of policy pathways is more effective in mitigating the rebound effect.

International audience; We develop a model of cross-border acquisitions in which the foreign acquirer's ownership choice reflects a trade-off between easing the target's credit constraints and the costs of operating in an environment with weak institutions. Data on domestic and foreign acquisitions in emerging markets over the period 1990–2007 support the model predictions. The share of full foreign acquisitions is higher in sectors more reliant on external finance, in countries with lower financial development, and in countries with higher institutional quality. Sectoral external finance dependence accentuates the effect of country-level financial development and institutional quality. By contrast, the level of foreign ownership in partial acquisitions is insensitive to institutional factors and depends weakly on financial factors.

Conservation of renewable natural resources and promotion of economic growth are both sustamable development goals. Here, we study the interdependency between economic growth, international trade, and the use of renewable natural resources under alternative institutional settings of either open access or full property rights in an endogenous growth model. We find that if the resource is depleted over time, consumption growth is reduced. Economic growth and international trade only impact resource use when the resource is harvested under full property rights. Then, widening international trade can lead countries to shift from conservation to depletion. Changes in the institutional setting of resource use in one country may have repercussions on trading partners. Our results indicate potential trade-offs between the sustainable development goals and imply that policies focusing on resource use or trade (e.g., international trade bans or certified trade) are not sufficient to prevent resource depletion. (C) 2018 Elsevier Inc. All rights reserved.

We study the effect of ambiguity on the formation of bubbles and on the occurrence of crashes in experimental asset markets à la Smith, Suchanek, and Williams (1988). We extend their framework to an environment where the fundamental value of the asset is ambiguous. We show that, when the fundamental value is ambiguous, asset prices tend to be lower than when it is risky although bubbles form in both the ambiguous and the risky environments. Additionally, bubbles do not crash in the ambiguous case whereas they do so in the risky one. These findings regarding depressed prices and the absence of crashes in the presence of ambiguity are in line with recent theoretical work stressing the crucial role of ambiguity to account for surprisingly low equity prices (high returns) as well as herding in asset markets.