The impact of population on CO<Subscript>2</Subscript> emissions: evidence from European countries

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.      

Do environmental benefits matter? Evidence from a choice experiment among house owners in Germany

Residential buildings strongly contribute to global CO₂ emissions due to the high energy demand for electricity and heating, particularly in industrialised countries. Within the EU, decentralised heat generation is of particular relevance for future climate policy, as its emissions are not covered by the EU ETS. We conducted a choice experiment concerning energy retrofits for existing houses in Germany. In the experiment, the approximately 400 sampled house owners could either choose a modern heating system or an improved thermal insulation for their home. We used standard and mixed logit specifications to analyse the choice data. We found environmental benefits to have a significant impact on choices of heating systems. However, they played no role in terms of insulation choices. Based on the estimated mixed logit model, we further obtained willingness-to-pay (WTP) measures for CO₂ savings.     

Empirical study on the determinants of CO2 emissions: evidence from OECD countries

This article empirically investigates the Environmental Kuznets Curve (EKC) for CO₂ emissions in the cases of 11 OECD countries by taking into account the role of nuclear energy in electricity production. The autoregressive distributed lag approach to cointegration is employed as the estimation method. Our results indicate that energy consumption has a positive impact on CO₂ emissions in most countries in the study. However, the impact of trade is not statistically significant. The results provide evidence for the role of nuclear power in reducing CO₂ emissions only in some countries. Additionally, although the estimated long-run coefficients of income and its square satisfy the EKC hypothesis in Finland, Japan, Korea and Spain, only Finland's EKC turning point is inside the sample period of the study, providing poor evidence in support of the EKC hypothesis.     

International differences in emissions intensity and emissions content of global trade

Understanding international differences in the emissions intensity of trade and production is essential to understanding the effects of greenhouse gas limitation policies. We develop data on emissions from 41 industrial sectors in 39 countries and estimate the CO₂ emissions intensity of production and trade. We find no evidence that developing countries specialize in emissions-intensive sectors; instead, our evidence suggests that emissions intensities differ systematically across countries because of differences in production techniques. Our results confirm that international differences in emissions intensity are substantial, but suggest that they do not play a significant factor in determining patterns of trade.     

Economic Growth and CO2 Emissions in the European Union

This paper examines the relationship between economic growth and CO₂ emissions in the European Union. A panel data analysis for the period 1981 to 1995 is applied in order to estimate the relationship between Gross Domestic Product (GDP) growth and CO₂ emissions in ten selected European countries. The analysis shows important disparities between the most industrialised countries and the rest. The results do not seem to support a uniform policy to control emissions; they rather indicate that a reduction in emissions should be achieved by taking into account the specific economic situation and the industrial structure of each EU member state.     

The effect of government expenditure on the environment:An empirical investigation

This paper examines the impact of government spending on the environment using a panel of 77 countries for the time period 1980–2000. We estimate both the direct and indirect effects of government spending on pollution. The indirect effect in particular operates through the impact of government spending on income and the subsequent effect of the income level on pollution. To take into account the dynamic nature and the potential endogeneity in the relationships examined, appropriate econometric methods are used. For SO₂, government spending is estimated to have a negative direct impact on per capita emissions, while the direct effect is insignificant on CO₂ pollution. The indirect effect on SO₂ is negative for low income levels and becomes positive as income increases, while it remains negative for CO₂ for the most part of the sample range. The resultant total effects follow the patterns of the indirect effects, which dominate their respective direct ones for each pollutant. Policy implications from the results vary depending on the income level of the considered countries.     

Is nuclear energy clean? Revisit of Environmental Kuznets Curve hypothesis in OECD countries

A transition towards the adoption of clean energy sources in electricity generation is essential to reduce the emission of greenhouse gases. The present study aims to examine the EKC hypothesis by taking into account nuclear energy in 18 OECD countries for the period 1995–2015. This study employs panel dynamic Generalised Method of Moments (GMM) and panel Fully Modified Ordinary Least Squares (FMOLS) to investigate the effects of electricity production from nuclear source, electricity production from non-renewables and trade openness on CO₂ emissions. The empirical findings suggest that EKC hypothesis is valid in OECD countries where nuclear energy plays a pivotal role in protecting the environment. On the contrary, non-renewable energy sources tend to increase CO₂ emissions. Our results support the notion that electricity generated by nuclear source leads to lower CO₂ emissions without retarding the long run growth in OECD countries. The findings also provide important policy insights and recommendations not only for OECD countries, but also for developing countries in designing appropriate energy and economic policies.     

Work Hours and CO2 Emissions: Evidence from U.S. Households

The degrowth movement proposes worktime reduction policies to help high-income countries meet their climate goals while supporting full employment. However, the work hours elasticity of carbon emissions remains uncertain despite a growing number of empirical analyses. This paper estimates the impact of work hours on emissions using household data from the United States. We calculate the carbon intensity of goods using input-output tables from the Bureau of Economic Analysis, which we combine with spending data from the Bureau of Labor Statistics to estimate carbon footprints for a representative sample of U.S. households. There is strong evidence that households with longer work hours emit more CO₂, but our household-level estimate of the work hours elasticity of carbon emissions is lower than most country-level estimates. Our results suggest that differences in work hours account for a small fraction of differences in per capita carbon footprints across high-income countries.

Highlights

• Households with longer work hours have significantly larger carbon footprints.

• Our estimated household-level work hours elasticity is smaller than most country-level estimates.

• Work hour reduction policies likely generate modest reductions in carbon emissions.

     

Net national emissions, CO2 taxation and the role of forestry

The concept of net national emissions suggests that accumulation of carbon in forestry should be taken into account when countries buy CO₂ permits or pay CO₂ taxes. The paper analyses the question of the correct tax/subsidy programme for giving proper incentives to forest owners and utilizers of wood. The analysis uses a dynamic general equilibrium model with productive capital and the stock of forests as state variables. It turns out that in a decentralized economy forest owners should be subsidized and CO₂ emissions should be taxed independently of whether they originates from wood or fossil fuels.     

Norwegian Emissions of CO2 1987–1994 A Study of Some Effects of the CO2 Tax

Several countries have introduced taxes on fossil fuels with the aim of reducing atmospheric emissions, partly because of local environmental goals (SO₂, NO_x) and partly to participate in a global effort to reduce emissions of greenhouse gases. Many macroeconomic studies, based on both global and national models, have been made of how emissions can be reduced with the help of taxes and the consequent reduction in GDP following the introduction of such taxes. Norway has had a CO₂ tax for five years, thereby providing a unique opportunity to evaluate the effects of this tax on emissions. The paper provides a counterfactual analysis of energy consumption and emissions if no CO₂ taxes had been introduced, compared with the actual situation in which such taxes exist. The effect of a CO₂ tax on oil consumption, and thus CO₂ emissions is studied on the basis of partial economic models for various sectors of the Norwegian economy. The study indicates that the CO₂ tax has had an impact on CO₂ emissions in Norway.     

Global resilience to climate change: Examining global economic and environmental performance resulting from a global carbon dioxide market

In this study, we investigated global economic and environmental resilience in the presence of climate change. In particular, we examine the possibility of mitigating carbon dioxide (CO₂) emissions without stressing standards of living. Here, we set up a cross-country CO₂ market constrained by a quota, where CO₂ is optimally re-allocated based on relative shadow prices of the pollutant. The objective is to stabilize global emissions without hindering global incomes and in the process achieve a single CO₂ price. We introduce a re-allocation model that takes into account each country’s underlying polluting technology. The model solutions are then used to investigate whether a single, global price for CO₂ is attainable. Our results suggest that global CO₂ emissions could stabilize without stressing global incomes, with a global CO₂ market achieving equilibrium. With a CO₂ market, countries would then have the incentive to consider adopting, improving, or investing in additional abatement technologies to move beyond current capabilities, while continuing to increase standards of living.     

Do oil consumption and economic growth intensify environmental degradation? Evidence from developing economies

The purpose of this article is to empirically investigate the impact of economic growth, oil consumption, financial development, industrialization and trade openness on carbon dioxide (CO₂) emissions, particularly in relation to major oil-consuming developing economies. This study utilizes annual data from 1980 to 2012 on a panel of 18 developing countries. Our empirical analysis employs robust panel cointegration tests and a vector error correction model (VECM) framework. The empirical results of three panel cointegration models suggest that there is a significant long-run equilibrium relationship among economic growth, oil consumption, financial development, industrialization, trade openness and CO₂ emissions. Similarly, results from VECMs show that economic growth, oil consumption and industrialization have a short-run dynamic bidirectional feedback relationship with CO₂ emissions. Long-run (error-correction term) bidirectional causalities are found among CO₂ emissions, economic growth, oil consumption, financial development and trade openness. Our results confirm that economic growth and oil consumption have a significant impact on the CO₂ emissions in developing economies. Hence, the findings of this study have important policy implications for mitigating CO₂ emissions and offering sustainable economic development.     

Carbon and energy prices under uncertainty: A theoretical analysis of fuel switching with heterogenous power plants

European power producers have a major influence on the EU ETS, given that both their CO₂ emissions and their EUA (European Union Allowance) allocations account for more than half of the total volumes of the scheme. Fuel switching is often considered as the main short-term abatement measure under the EU ETS. It consists in substituting combined cycle gas turbines (CCGTs) for hard-coal plants in power generation. Thereby coal plants run for shorter periods, and CO₂ emissions are reduced. This paper provides the first theoretical analysis of fuel switching, in a context where power plants involved are not equally efficient. We begin with a preliminary work using illustrative examples and sensitivity analyses, which enables us to observe how differences in the efficiency of power plants impact the cost of fuel switching, and how this is related to the level of switching effort. Based on this, we build a theoretical model taking into account the effect of differences in the efficiency of power plants involved in fuel switching. We also investigate the effect of the timing of fuel switching abatements, within the temporally defined environment of our dynamic model. Results demonstrate that the gas price and uncontrolled CO₂ emissions act together on the carbon price. We show that the influence of the gas price on the carbon price depends on the level of uncontrolled CO₂ emissions, due to heterogeneity of power plants that are used in the fuel switching process. Furthermore, we show that the time of occurrence of uncontrolled emissions matters so that shocks have a stronger impact when they occur in a period that is closed to the end of the phase.     

Renewable energy drivers: a panel cointegration approach

The expected gains from RES deployment to the reduction of carbon dioxide emissions (CO₂) and the cut-off of external dependence of electricity sources could be important. However, it is crucial to understand the determinants of RES growth to help policymakers drawing effective energy polices, involving a commitment of both citizens and governments. In this paper, we use novel panel econometric tools (taking into account structural breaks and cross-section dependence) and find evidence of nonstationary issues and cointegration issues between renewable energy production and its drivers (CO₂ emissions, GDP per capita, energy use and dependency). The results thus reveal that non-stationary issues should be attended, otherwise they could be biased. Using suitable estimators (DOLS, FMOLS) with two different data sets and different proxies and taking common factors into account by MG estimates, we find that there is no environmental concerns effect explaining the growth of renewables in European countries. However, national revenues, energy consumption (demand effect) and energy dependency have a positive impact on renewables deployment. Considering these results, economic assistance (subsidies) might be a mean to increase further the renewables deployment in EU countries and education about renewables deployment is needed.     

Environmentally sensitive productivity growth: A global analysis using Malmquist–Luenberger index

We examine conventional and environmentally sensitive total factor productivity (TFP) in 41 developed and developing countries over the period of 1971 to 1992. Due to the non-availability of reliable input and CO₂ emissions price data, the study uses directional distance function to derive Malmquist–Luenberger (ML) productivity index. The index allows us to decompose the TFP into measures of technical and efficiency changes. DEA is used to compute the directional distance functions. We find that TFP index value is not different when we account for the CO₂ emissions relative to the situation when they are freely disposable. But for the components of TFP change: technical and efficiency changes, the null hypothesis of whether the indexes are the same under two different scenarios cannot be accepted. Issues of catch-up and convergence, or in some cases possible divergence, in productivity are examined within a global framework. The paper also studies the impact of openness on conventional and environmentally sensitive measures of productivity.     

The Stochastic Convergence of CO<Subscript>2</Subscript> Emissions: A Long Memory Approach

In response to equity concerns surrounding the spatial distribution of CO₂ emissions and assumptions of CO₂ convergence within some climate models, this paper examines the convergence of CO₂ emissions within the OECD over the period 1870–2004. More specifically, using the Local Whittle estimator and its variants we examine whether relative per capita CO₂ emissions are fractionally integrated, that is they are long memory processes which, although highly persistant, may revert to the mean/trend in the long run. Our results suggest that CO₂ emissions within 13 out of 18 OECD countries are indeed fractionally integrated implying that they converge over time, albeit slowly. Interestingly though, the countries whose emissions are not found to be fractionally integrated are some of the highest polluters within the OECD, at least in per capita terms. Our results have implications both for future studies of CO₂ convergence and for climate policy.     

Cross-Country Polarisation in CO2 Emissions Per Capita in the European Union: Changes and Explanatory Factors

We analyse the degree of polarisation in the international distribution of CO₂ emissions per capita in the European Union. It is analytically relevant to examine the degree of instability inherent to a distribution and, in the analysed case, the likelihood that the distribution and its evolution will increase or decrease the chances of reaching an agreement on climate policy. Two approaches were used to measure polarisation: the endogenous approach, in which countries are grouped according to their similarity in terms of emissions, and the exogenous approach, in which countries are grouped geographically. Our findings indicate a clear decrease in polarisation since the mid-1990s, which can essentially be explained by the fact that the different groups have converged (i.e. antagonism among the CO₂ emitters has decreased) as the contribution of energy intensity to between-group differences has decreased. This lower degree of polarisation in CO₂ distribution suggests a situation more conducive to the possibility of reaching EU-wide agreements on the mitigation of CO₂ emissions.     

The carbon footprint of UK households 1990-2004: A socio-economically disaggregated, quasi-multi-regional input-output model

This paper presents a socio-economically disaggregated framework for attributing CO₂ emissions to people's high level functional needs. Based around a quasi-multi-regional input-output (QMRIO) model, the study, in theory, takes into account all CO₂ emissions that arise from energy used in production of goods and services to satisfy UK household demand, whether the emissions occur in the UK or abroad. Results show that CO₂ emissions attributable to households were 15% above 1990 levels in 2004, and that although absolute decoupling occurred between household expenditure and CO₂ during the UK's switch from coal to gas in the early 1990s, since then only slight relative decoupling is evident. The proportion of CO₂ that arises outside UK borders in support of UK consumption is rising, and reducing these emissions is particularly problematic in a global trading system. Investigation into the carbon footprint of different segments of the UK population shows wide variation: the segment with the highest carbon footprint emits 64% more CO₂ than the segment with the lowest. Results show that recreation and leisure are responsible for over one quarter of CO₂ emissions in a typical UK household in 2004. We conclude that expanding lifestyle aspirations are significant factors in driving household CO₂ emissions, but the study also emphasizes that attention must be paid to the infrastructures and institutions that result in considerable amounts of CO₂ being locked up in basic household activities through which people meet their everyday needs for subsistence, protection, and communication with family and friends. The findings highlight the sheer scale of the challenge facing UK policy-makers, and suggest that policies should be targeted towards segments of society responsible for the highest carbon footprints.     

CO2 emissions, research and technology transfer in China

Although the economy of China has grown very strongly over the last few decades, this spectacular performance has come at the expense of rapid environmental deterioration. Amidst animated debate on the issue of global warming, this study attempts to explore the determinants of CO₂ emissions in China using aggregate data for more than half a century. Adopting an analytical framework that combines the environmental literature with modern endogenous growth theories, the results indicate that CO₂ emissions in China are negatively related to research intensity, technology transfer and the absorptive capacity of the economy to assimilate foreign technology. Our findings also indicate that more energy use, higher income and greater trade openness tend to cause more CO₂ emissions.     

Transition of the Chinese Economy in the Face of Deep Greenhouse Gas Emissions Cuts in the Future

China joined the Paris Agreement, and the global 2°C and 1.5°C warming targets will be supported by China. In order to achieve these targets, China's CO₂ emissions need to be cut deeply by 2050. The present paper presents studies from the integrated policy assessment model for China (IPAC) team about the impact on China's economic development of deep cuts in greenhouse gas (GHG) emissions, in order to realize the Paris climate change targets. With the requirement of deep cuts in GHG emissions in China, China's economic development will also be impacted in moving toward a low‐carbon or zero‐carbon emission‐based economy by 2050. This means the Chinese economy needs a strong transition over the next three decades, a relatively short time. All sectors in the economy need to seek ways to reduce GHG emissions, and this could change activities, industry processes and technologies in order to make the deep cuts in GHG emissions happen. This is the meaning of the economic transition toward to a low‐carbon economy. The findings of the present paper include: a significant transition in the energy supply sector; a high rate of electrification in all end‐use sectors; and a technology transition in the transport sector. Transitions will also occur in the traditional industrial sectors, including steel making, cement manufacture, and the chemical sector. The availability of low‐cost renewable energy could change the allocation of industries, which could potentially have a strong impact on regional economic development. Deep cuts in CO₂ emissions in China need not be a burden for economic development, as the IPAC results show there will be a more than 1.5% increase of gross domestic product by 2050 in the deep cut scenario compared with the baseline scenario.