Decomposing the decoupling of CO2 emissions and economic growth in Brazil

This paper examines the occurrence of a decoupling between the growth rates in economic activity and CO₂ emissions from energy consumption in Brazil from 2004 to 2009. This decoupling was highlighted when economic activity and CO₂ emissions moved in opposite directions in 2009. More generally, we observe several periods of relative decoupling in Brazil, but not to the extent witnessed in 2009. To identify the determinants of emissions change, we develop a decomposition model based on a log-mean Divisia index (LMDI) framework. The results indicate that the carbon intensity and energy mix are the main determinant of emissions reduction in Brazil between 2004 and 2009. Modifications in the economy structure are also associated to emission mitigation in the period. Such evidence demonstrates similarities with events of decoupling registered for the interval 1980-1994 in Brazil. Finds from Brazil differ from observations in other countries in which improvement in energy intensity has been the most common determinant of emissions reduction.     

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.     

Decomposition of energy-related CO2 emission over 1991-2006 in China

This paper presents a decomposition analysis of energy-related CO₂ emission in China for the period 1991-2006 divided into three equal time intervals. The complete decomposition method developed by Sun is used to analyze the nature of the four factors: CO₂ intensity, energy intensity, structural changes and economic activity. The results show that economic activity has the largest positive effect in CO₂ emission changes in all the major economic sectors and China has achieved a considerable decrease in CO₂ emission mainly due to the improved energy intensity. However, the impact of CO₂ intensity and structural changes is relatively small. Structural changes only exhibit positive effect to the CO₂ mitigation in agricultural sector, and CO₂ intensity also contributes to the decrease of CO₂ emission in transportation sector. Moreover, a formula about CO₂ mitigation is presented in this paper, which shows that China has made a significant contribution to reducing global CO₂ emission.     

Structural decomposition analysis and input-output subsystems: Changes in CO2 emissions of Spanish service sectors (2000-2005)

The analysis of gas emissions by an input-output subsystem approach provides detailed insight into pollution generation in an economy. Structural decomposition analysis, on the other hand, identifies the factors behind the changes in key variables over time. Extending the input-output subsystem model to account for the changes in these variables reveals the channels by which environmental burdens are caused and transmitted throughout the production system. In this paper we propose a decomposition of the changes in the components of CO₂ emissions captured by an input-output subsystems representation. The empirical application is for the Spanish service sector, and the economic and environmental data are for years 2000 and 2005. Our results show that services increased their CO₂ emissions mainly because of a rise in the emissions generated by non-services to cover the final demand for services. The decomposed effects show a decrease in CO₂ emissions due to technological changes between 2000 and 2005 compensated by an increase in emissions caused by the rise in final demand of services. Finally, large asymmetries exist not only in the quantitative changes in the CO₂ emissions of the various services but also in the decomposed effects of these changes.     

Input-output subsystems and pollution: An application to the service sector and CO2 emissions in Spain

The analysis of input-output subsystems provides a useful tool for studying the productive structure of the different sectors of an economy. In this paper we develop this analysis to the study of the CO₂ emissions associated to the group of branches of the service sector. The decomposition of the total production of the services subsystem allows us to decompose the CO₂ emissions into five different components (own, demand volume, feed-back, internal and spill over components). From the results obtained, we can highlight the different roles played by the different branches of services. Transport activities are the services with the highest level of the direct emissions generated in the production of the sector. These activities are required by the other sectors of the economy to a greater degree than they are for their own final demand. Therefore, the production sold to other sectors causes more emissions than its own final demand. However, in the case of other service activities, direct and indirect emissions related to final demand are much more important, due to the strong pull effect of service activities on other activities of the economy. In this respect, Wholesale and retail trade, Hotels and restaurants, Real estate, renting and business activities, and Public administration services should be highlighted. These services receive scarce attention in the design of policies aimed at reducing emissions, but are notably responsible for the major increase in emissions experienced in recent years.     

The CO2 ‘trade balance’ between Scotland and the rest of the UK: Performing a multi-region environmental input–output analysis with limited data

In this paper we attempt an empirical application of the multi-region input–output (MRIO) method proposed by Turner, Lenzen, Wiedmann and Barrett [Turner, K., Lenzen, M., Wiedmann, T., Barrett, J., 2007. Examining the global environmental impact of regional consumption activities — part 1: a technical note on combining input–output and ecological footprint analysis. Ecological Economics 62 (1), 37–44] in a recent issue of this journal in order to enumerate the CO2 pollution content of interregional trade flows between Scotland and the rest of the UK (RUK). We extend the analysis to account for direct emissions generation by households, as final consumers, and to a social accounting matrix (SAM), where a more comprehensive account of incomes and expenditures is possible. While the existence of significant data problems mean that the quantitative results of this study should be regarded as provisional, the interregional economy-environment IO and SAM framework for Scotland and RUK allows an illustrative analysis of some very important issues in terms of the nature and significance of interregional environmental spillovers within the UK and the existence of a CO₂ ‘trade balance’ between Scotland and RUK.     

Questioning the empirical basis of the environmental Kuznets curve for CO2: New evidence from a panel stationarity test robust to multiple breaks and cross-dependence

This paper investigates the time series properties of per capita CO₂ emissions and per capita GDP levels for a sample of 86 countries over the period 1960-2000. For that purpose, we employ a state-of-the-art panel stationarity test which incorporates multiple shifts in level and slope, thereby controlling for cross-sectional dependence through bootstrap methods. Our analysis renders clear-cut evidence that per capita GDP levels are nonstationary for the world as a whole while per capita CO₂ is found to be regime-wise trend stationary. The analysis of country-groups shows that for Africa and Asia, per capita CO₂ is best described as nonstationary, while per capita GDP appears stationary around a broken trend. In addition, we find evidence of regime-wise trend stationarity in both variables for the country-groups consisting of America, Europe and Oceania. The results of our analysis carry important implications for the statistical modelling of the Environmental Kuznets curve for CO₂, since the differing order of integration in both variables for the world as a whole and for Africa and Asia calls into question the validity of panel cointegration techniques which assume that both variables are nonstationary and cointegrated with one another. Cointegration techniques would not be appropriate either for the case of America, Europe and Oceania which are characterised by per capita GDP and CO₂ emissions being stationary around a broken trend. Similar conclusions are reached when we analyse country-groups based on levels of development. Failure to properly characterise the time series properties of the data by not controlling for an unknown number of structural breaks and for cross-sectional dependence could be responsible for the fragility and lack of robustness surrounding the estimation of environmental Kuznets curves.     

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.