• Energy Research

Abstract An understanding of the evolution of sectoral CO2 emissions for all EU countries in recent decades would clearly be useful for political authorities when designing future environmental policies. This paper investigates the process of convergence in sectoral per capita CO2 emissions, with a focus on the energy sector. The concept of club convergence is used to analyse emissions in 28 EU countries from 1971 to 2012, with special attention paid to the energy subsectors (power generation and heating, manufactures and construction, transportation, and other minor fuel combustion). We find that core European countries (France, the Netherlands, Germany and the UK) are included in the best performing clubs, no matter the sector or subsector, whereas among Central and Eastern European Countries, a few diverge from the average towards higher emissions. Relative convergence among a large number of EU members would, therefore, support the relevance of both the EU abatement policy and international agreements in this process.

This paper compiles and presents a global panel dataset of energy poverty policy actions spanning the period March 2020 and March 2021. It builds on the COVID-19 Energy Map that collects policies to ensure the affordability of energy supplies for households during the COVID-19 pandemic. The monthly-frequency dataset is organized in a user-friendly way, allowing not only experts and researchers but also the broader non-expert public, to examine and analyse the month-by-month policy changes across countries. We illustrate the potential use of this dataset by analysing the association between the implemented energy poverty measures and the time people spent at home during the pandemic. The panel dataset is widely applicable for future research, especially as other global or regional datasets pertaining to the early years of the pandemic become available.

The European Green Deal is a political milestone aiming to promote a carbon-neutral economy in the European Union. Decarbonizing the complex food sector requires the unified interaction among effective climate policies, economic instruments, and initiatives involving multiple stakeholders. Despite increasing efforts to highlight the importance of innovations and finance to achieve sustainable food supply chains (FSC), comprehensive information about related opportunities and barriers to mitigating emissions in the food sector is still under-explored. To cover this gap, this paper applies an existing industrial policy framework under the lens of the EU FSC to identify potential strategies that should help achieve the needed financial means and innovation actions, as well as to gauge political alignment across FSC stages. Methodologically, the pillars proposed in the framework are linked to multi-stakeholders’ initiatives engaged in achieving net-zero emissions. The paper highlights three main implications of the identified interlinkages. First, political directionality related to the food sector should be more comprehensively tailored to account for the specificities of all stages of the FSC. Second, research and development projects shall likewise cover all stages, instead of emphasizing only food production and agricultural systems. Finally, multiple stakeholders are crucial as promoters of technology and innovation towards a green economy. Nevertheless, initiatives should be integrated into political discussions in order to promote civil awareness, sustainable food and services demand, aligned to political guidelines.

Abstract This paper analyzes the impact of urbanization on CO2 emissions in developing countries from 1975 to 2003. It contributes to the existing literature by examining the effect of urbanization, taking into account dynamics and the presence of heterogeneity in the sample of countries. The results show an inverted-U shaped relationship between urbanization and CO2 emissions. Indeed, the elasticity emission-urbanization is positive for low urbanization levels, which is in accordance with the higher environmental impact observed in less developed regions. Among our contributions is the estimation of a semi-parametric mixture model that allows for unknown distributional shapes and endogenously classifies countries into homogeneous groups. Three groups of countries are identified for which urbanization's impact differs considerably. For two of the groups, a threshold level is identified beyond which the emission-urbanization elasticity is negative and further increases in the urbanization rate do not contribute to higher emissions. However, for the third group only population and affluence, but not urbanization, contribute to explain emissions. The differential impact of urbanization on CO2 emissions should therefore be taken into account in future discussions of climate change policies.

This paper analyses the impact of population growth on CO2 emissions in European Union countries. Traditionally, researchers have assumed a unitary elasticity of emissions with respect to population growth. In this study population is treated as a predictor in the model, instead of being included as part of the dependent variable (per capita emissions), thus relaxing the above-mentioned assumption of unitary elasticity. We also contribute to the existing literature by taking into account the presence of heterogeneity in the sample and considering a dynamic specification. The sample covers the period 1975-1999 for the current European Union members. Our results show that the impact of population growth on emissions is more than proportional for recent accession countries whereas for old EU members, the elasticity is lower than unity and non significant when the properties of the time series and the dynamics are correctly specified. The different impact of population change on CO2 emissions for the current EU members should therefore be taken into account in future discussions of climate change policies within the EU.

AbstractIn this paper, we empirically investigate the impact of the Kyoto Protocol on CO2emissions using a sample of 170 countries over the period 1992–2009. We propose the use of a difference-in-differences estimator with matching to address the endogeneity of the policy variable, namely Kyoto commitments. Countries are matched according to observable characteristics to create a suitable counterfactual. We correspondingly estimate a panel data model for the whole sample and the matched sample and compare the results to those obtained using an instrumental variable approach. The main results indicate that Kyoto Protocol commitments have a measurable reducing effect on CO2emissions, indicating that a treaty often deemed a ‘failure’ may in fact be producing some non-negligible effects for those who signed it.

Abstract We apply the Pooled Mean Group Estimator to test for the existence of an environmental Kuznets curve for CO2 in 22 OECD countries. This approach allows for more flexible assumptions in a panel data framework. The period goes from 1975 to 1998.

Climate change and natural disasters might increase the vulnerability of populations in affected regions. This article investigates the link between climatic events and bilateral migration from countries in the Global South to OECD countries. A gravity model is estimated using panel data techniques and bearing in mind potential sources of heterogeneity across subsamples. The main novelty is to distinguish by climatic zones, while also considering commonly used social and economic stresses, such as income levels and incidence of conflict. The analysis is based on bilateral emigration flows from 76 developing countries to OECD countries in the last decades. The results show that increasing extreme temperatures and storms in arid and semi-arid zones act as triggers of bilateral migration from South to North and that the estimated effects are non-negligible. The results are robust to a battery of tests, including dividing the sample according to the levels of conflict and poverty.