Trade-linked Canada–United States household environmental impact analysis of energy use and greenhouse gas emissions

We compare energy use and greenhouse gas (GHG) emissions associated with total household expenditures and activities in Canada and US in 1997, the first detailed estimate of environmental burdens for Canadian households. We estimate direct burdens from published government data and indirect burdens using an industry-by-commodity, bi-national economic input–output life cycle assessment model developed in this study. Comparing 30 expenditure and two activity categories, per capita US household expenditures were 70% higher, while per capita household energy use and GHG emissions were only 10% and 44% higher, respectively. Energy use/dollar of expenditure was higher in most Canadian categories, while the average ratio of GHG emissions/energy use was higher in the US (65 vs 50 kg Eq. CO₂/GJ) due largely to a higher proportion of electricity from nonrenewable sources. Indirect environmental burdens represented 63–69% of total burdens and 62–70% of total burdens were associated with household operation and transportation. Key drivers of differences between energy profiles were: higher per capita electricity use by Canadian households, and higher US household private health care expenditures and motor fuel use. Energy-intensive production for export represented a higher proportion of Canadian production, resulting in less agreement between consumption and production-based analyses for Canada than US.     

The impact of household behavioral changes on GHG emission reduction in Lithuania

It is commonly understood that households must change their behavior to reduce problems related increased energy consumption and climate change therefore in the search of cheap GHG emission reduction measures households are an important target group because they are responsible for more than 20% of total energy consumption in developed countries. In addition waste management and responsible consumption of products are the key issues in GHG emission reduction.The aim of the paper is to assess GHG emission reduction potential in households in terms of behavioral changes towards sustainable consumption. The review of literature on analysis of households behavioral changes impact on GHG emission reduction was performed; the daily survey of household agenda and energy use records were performed in Lithuania for two scenarios – baseline and GHG emission reduction scenario including energy saving. GHG emission reduction potential in household was assessed based on daily survey data and energy consumption records by applying carbon calculator based on modified coefficients. Evaluated GHG emission reduction potential in households was compared with GHG emission reduction potentials in other sectors of Lithuania. Based on analysis performed in the paper the tools to promote household behavioral changes towards sustainable consumption were proposed.     

Determinants of carbon dioxide emissions: Empirical evidence from 69 countries

This study investigates the determinants of carbon dioxide emissions (CO₂) for a global panel consisting of 69 countries using a dynamic panel data model. To make the panel data analysis more homogenous, we also investigate the determinants of CO₂ emissions for a number of sub-panels. These sub-panels are constructed based on the income level of countries. In this way, we end up with three income panels; namely, high income, middle income, and low income panels. The time component of our dataset is 1985–2005 inclusive. Our main findings are that trade openness, per capita GDP, and energy consumption, proxied by per capita electric power consumption and per capita total primary energy consumption, have positive effects on CO₂ emissions. Urbanisation is found to have a negative impact on CO₂ emissions in high income, middle income, and low income panels. For the global panel, only GDP per capita and per capita total primary energy consumption are found to be statistically significant determinants of CO₂ emission, while urbanisation, trade openness, and per capita electric power consumption have negative effects on the CO₂ emissions.     

Greenhouse gases embodied in the international trade and final consumption of Finland: An input–output analysis

The estimation of greenhouse gas (GHG) emissions associated with international trade and final consumption gives a more complete and balanced picture of the responsibilities of various countries for the emissions that cause the climate change. The aim of this study was to look at the impact of the coverage of the GHGs and their sources and assumptions regarding the emissions of imports on the results of GHG emissions associated with international trade and final consumption of Finland. In addition to a single year study, a trend covering years 1990–2003 was produced for Finland to study the development of the GHG emissions associated with domestic consumption and the reasons behind the development. According to our results Finland was in 1999 a net exporter of CO₂ from fossil fuel combustion, CO₂ from all sources and GHGs of 4(4.2), 5 or 7 Gkg, respectively. The impact of different assumptions concerning the emissions embodied in imports in the case of Finland was tested by using the domestic emission intensities and the ratios of embodied emissions in imports in relation to domestic products by utilizing the data from the study by (OECD, 2003b. Carbon Dioxide Emissions Embodied in International Trade of Goods, STI Working Paper 2003/15, OECD, Paris). In the case of Finland, the differences of results calculated with these two methods remained rather small. The total emissions embodied in the imports changed from 33.8 to 34.4 Gkg and consequently the net export of CO₂ from fossil fuel combustion changed from 4.2 to 3.6 Gkg. The results for 1990–2003 show that the GHG emissions embodied in the exports have exceeded the GHG emissions embodied in the imports from early 1990s. The reason for the increasingly positive GHG trade balance in the case of Finland has been the change in the magnitude of trade rather than the changes in its structure. The results show also that the impact of international transport on the emission intensity of imports is significant and merits further research.     

Imbalance in Europe's Effort Sharing Decision: Scope for strengthening incentives for energy savings in the non-ETS sectors

Europe's 2020 greenhouse gas (GHG) reduction target consists of two sub-targets: one for the Emissions Trading Scheme (ETS) sectors and one for the non-ETS sectors. The non-ETS target covers CO₂ emissions in buildings, transport and non-ETS industry and non-CO₂ GHG emissions. The non-ETS target is known as Europe's Effort Sharing Decision. This article discusses the GDP per capita method the European Commission has applied in setting Member State specific targets for the non-ETS (“the effort sharing”) and shows that it results in an imbalanced reduction effort among the Member States. It turns out that the principal mechanism of the GDP per capita method (low-GDP countries get room to catch up with high-GDP countries by allowing them to increase emissions) is obscured by the non-CO₂ GHGs, the baseline projections of which are highly policy-induced and not correlated with the growth of GDP per capita. We propose an alternative method that (1) corrects for the policy-induced decrease of non-CO₂ GHG emissions and (2) is based on energy savings potentials. This approach could be used in future target setting for non-ETS sectors – including in the case that the overarching EU-wide target would be strengthened – and would provide a direct support to Europe's energy savings ambitions and policies.     

The impact of household consumption on energy use and CO2 emissions in China

In this paper, the consumer lifestyle approach is applied to analyze the impact of consumption by urban and rural households on energy use and CO₂ emissions for different regions and income levels in China. Grey Model is used to compare the relationship between energy consumption, consumption expenditure and CO₂ emissions for different lifestyles. The results show that direct energy consumption is diverse for urban households and simple for rural households in China. Direct energy consumption and CO₂ emissions are increasing faster for urban than for rural households. Indirect energy consumption and CO₂ emissions for urban households are much greater than the direct consumption values. The total indirect energy consumption and CO₂ emissions differ by regions and the structures are different, but the latter differences are not obvious. The impact of household income is enormous. Indirect energy consumption and CO₂ emissions are higher for high-income than for low-income households. The structural difference for indirect energy consumption and CO₂ emissions for households with different income levels is significant. The higher the income, the more diverse is the energy consumption and CO₂ emission structure. The structures for indirect energy use and CO₂ emissions are diverse for urban households, but simple for rural households.     

The role of income in energy consumption behaviour: Evidence from French households data

The main purpose of this paper is to characterise quantitatively the impact of income on household energy consumption in the residential and transport sectors. Starting from the data collected in a paper survey, we analyse the extent of the constraint experienced by households in terms of equipment purchasing behaviour and daily energy consumption. This analysis shows that the least well-off households are particularly constrained since the share of their budget represented by these energy services is very large (15–25%), and this corresponds to a level of energy service well below that of the better-off households. The case of space-heating shows a factor of 2 in terms of level of comfort achieved between the extreme 10-percentiles. These households also face a strong capital constraint for equipment purchases. This leads either to a large increase in the required rate of return or to a reduction in the proportion of households that are prepared to replace their equipment earlier. The least well-off households are thus doubly constrained, since it is more difficult for them to invest. In our opinion, it is crucial to take into account this observation in the context of political measures aimed at reducing households’CO₂ emissions.     

Energy consumption-economic growth relationship and carbon dioxide emissions in China

This paper applies the panel unit root, heterogeneous panel cointegration and panel-based dynamic OLS to re-investigate the co-movement and relationship between energy consumption and economic growth for 30 provinces in mainland China from 1985 to 2007. The empirical results show that there is a positive long-run cointegrated relationship between real GDP per capita and energy consumption variables. Furthermore, we investigate two cross-regional groups, namely the east China and west China groups, and get more important results and implications. In the long-term, a 1% increase in real GDP per capita increases the consumption of energy by approximately 0.48–0.50% and accordingly increases the carbon dioxide emissions by about 0.41–0.43% in China. The economic growth in east China is energy-dependent to a great extent, and the income elasticity of energy consumption in east China is over 2 times that of the west China. At present, China is subject to tremendous pressures for mitigating climate change issues. It is possible that the GDP per capita elasticity of carbon dioxide emissions would be controlled in a range from 0.2 to 0.3 by the great effort.     

Economic growth,energy conservation and emissions reduction: A comparative analysis based on panel data for 8 Asian-Pacific countries

This study was conducted to evaluate the causality between energy consumption, GDP growth and carbon emissions for eight Asia-Pacific countries from 1971 to 2005 using the panel data. The results indicate that there are long-run equilibrium relationships between these variables. Additionally, causality from energy consumption to CO₂ emissions was observed generally, but there were some opposite relationships also. Parameter estimations of the panel data model indicate that there are great differences in the carbon emissions, the efficiencies of energy use, carbon emissions of unit GDP and unit energy consumption between developed and developing countries. The base carbon emissions, per capita energy consumption and efficiency of energy use in developing countries are far lower than in developed countries; however, the CO₂ emissions per unit of energy use is higher. Although developing countries may reduce their CO₂ emission per unit energy use, total energy consumption will rise rapidly with economic development. Thus, developing countries must determine how to undergo economic growth while conserving energy and reducing emissions. To respond to global climate change, it is necessary to develop innovative technology for energy use, transform the energy structure and conduct the clean development mechanism.     

City density and CO2 efficiency

Cities play a vital role in the global climate change mitigation agenda. City population density is one of the key factors that influence urban energy consumption and the subsequent GHG emissions. However, previous research on the relationship between population density and GHG emissions led to contradictory results due to urban/rural definition conundrum and the varying methodologies for estimating GHG emissions. This work addresses these ambiguities by employing the City Clustering Algorithm (CCA) and utilizing the gridded CO₂ emissions data. Our results, derived from the analysis of all inhabited areas in the US, show a sub-linear relationship between population density and the total emissions (i.e. the sum of on-road and building emissions) on a per capita basis. Accordingly, we find that doubling the population density would entail a reduction in the total CO₂ emissions in buildings and on-road sectors typically by at least 42%. Moreover, we find that population density exerts a higher influence on on-road emissions than buildings emissions. From an energy consumption point of view, our results suggest that on-going urban sprawl will lead to an increase in on-road energy consumption in cities and therefore stresses the importance of developing adequate local policy measures to limit urban sprawl.     

Energy and greenhouse gas balances of cassava-based ethanol

Biofuel production has been promoted to save fossil fuels and reduce greenhouse gas (GHG) emissions. However, there have been concerns about the potential of biofuel to improve energy efficiency and mitigate climate change. This paper investigates energy efficiency and GHG emission saving of cassava-based ethanol as energy for transportation. Energy and GHG balances are calculated for a functional unit of 1 km of road transportation using life-cycle assessment and considering effects of land use change (LUC). Based on a case study in Vietnam, the results show that the energy input for and GHG emissions from ethanol production are 0.93 MJ and 34.95 g carbon dioxide equivalent per megajoule of ethanol respectively. The use of E5 and E10 as a substitute for gasoline results in energy savings, provided that their fuel consumption in terms of liter per kilometer of transportation is not exceeding the consumption of gasoline per kilometer by more than 2.4% and 4.5% respectively. It will reduce GHG emissions, provided that the fuel consumption of E5 and E10 is not exceeding the consumption of gasoline per kilometer by more than 3.8% and 7.8% respectively. The quantitative effects depend on the efficiency in production and on the fuel efficiency of E5 and E10. The variations in results of energy input and GHG emissions in the ethanol production among studies are due to differences in coverage of effects of LUC, CO₂ photosynthesis of cassava, yields of cassava, energy efficiency in farming, and by-product analyses.     

Household energy consumption in the UK: A highly geographically and socio-economically disaggregated model

Devising policies for a low carbon society requires a careful understanding of energy consumption in different types of households. In this paper, we explore patterns of UK household energy use and associated carbon emissions at national level and also at high levels of socio-economic and geographical disaggregation. In particular, we examine specific neighbourhoods with contrasting levels of deprivation, and typical ‘types’ (segments) of UK households based on socio-economic characteristics. Results support the hypothesis that different segments have widely differing patterns of consumption. We show that household energy use and associated carbon emissions are both strongly, but not solely, related to income levels. Other factors, such as the type of dwelling, tenure, household composition and rural/urban location are also extremely important. The methodology described in this paper can be used in various ways to inform policy-making. For example, results can help in targeting energy efficiency measures; trends from time series results will form a useful basis for scenario building; and the methodology may be used to model expected outcomes of possible policy options, such as personal carbon trading or a progressive tax regime on household energy consumption.     

Energy consumption and economic growth nexus in Tanzania: An ARDL bounds testing approach

In this paper, we examine the intertemporal causal relationship between energy consumption and economic growth in Tanzania during the period of 1971–2006. Unlike the majority of the previous studies, we employ the newly developed autoregressive distributed lag (ARDL)-bounds testing approach by Pesaran et al. [2001. Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics 16, 289–326] to examine this linkage. We also use two proxies of energy consumption, namely total energy consumption per capita and electricity consumption per capita. The results of the bounds test show that there is a stable long-run relationship between each of the proxies of energy consumption and economic growth. The results of the causality test, on the other hand, show that there is a unidirectional causal flow from total energy consumption to economic growth and a prima-facie causal flow from electricity consumption to economic growth. Overall, the study finds that energy consumption spurs economic growth in Tanzania.     

The relationship between CO2 emissions,energy consumption and economic growth in Italy

This study examines the relationship between CO₂ emissions, energy consumption and economic growth in Italy over the period 1970–2006. Results of unit root tests show that all variables are non-stationary in their level form, but stationary in first differences form. The causal relationship between variables is examined using causality test in a vector autoregressive framework. Our empirical results show that CO₂ emissions, energy consumption and economic growth are not cointegrated. Moreover, the Toda and Yamamoto Granger non-causality test shows a bidirectional causality between CO₂ emissions and economic growth, as well as between CO₂ emissions and energy consumption. Forecast error variance decompositions evidence that the errors in real per capita GDP are mainly due to uncertainty in GDP itself, while the errors in predicting the energy consumption and the CO₂ emissions are sensitive to disturbances in the other two equations.     

Future energy consumption and greenhouse gas emissions in Jordanian industries

Most, i.e. 85%, of greenhouse gas (GHG) emissions in Jordan emanate as a result of fossil fuel combustion. The industrial sector consumed 23.3% of the total national fuel consumption for heat and electric-power generation in 1999. The CO₂ emissions from energy use in manufacturing processes represent 12.1% of the total national CO₂ emissions. Carbon dioxide is also released as a result of the calcining of carbonates during the manufacture of cement and iron. Electricity, which is the most expensive form of energy, in 1999 represented 45% of total fuel used for heat and power nationally. Heavy fuel oil and diesel oil represented 46% and 7%, respectively, of all energy used by industry. Scenarios for future energy-demands and the emissions of gaseous pollutants, including GHGs, have been predicted for the industrial sector. For these, the development of a baseline scenario relied on historical data concerning consumption, major industries’ outputs, as well as upon pertinent published governmental policies and plans. Possible mitigation options that could lead to a reduction in GHG emissions are assessed, with the aim of achieving a 10% reduction by 2010, compared with the baseline scenario. Many viable CO₂ emission mitigation measures have been identified for the industrial sector, and some of these can be considered as attractive opportunities due to the low financial investments required and short pay back periods. These mitigation options have been selected on the basis of low GHG emission rates and expert judgement as to their viability for wide-scale implementation and economic benefits. The predictions show that the use of more efficient lighting and motors, advanced energy systems and more effective boilers and furnaces will result in a significant reduction in the rates of GHG emissions at an initial cost of between 30 and 90 US$ t⁻¹ of CO₂ release avoided. However, most of these measures have a negative cost per ton of CO₂ reduced, indicating short pay-back periods for the capital investments needed.     

CO2 emissions structure of Indian economy

This paper analyses carbon dioxide (CO₂) emissions of the Indian economy by producing sectors and due to household final consumption. The analysis is based on an Input–Output (IO) table and Social Accounting Matrix (SAM) for the year 2003–04 that distinguishes 25 sectors and 10 household classes. Total emissions of the Indian economy in 2003–04 are estimated to be 1217 million tons (MT) of CO₂, of which 57% is due to the use of coal and lignite. The per capita emissions turn out to be about 1.14 tons. The highest direct emissions are due to electricity sector followed by manufacturing, steel and road transportation. Final demands for construction and manufacturing sectors account for the highest emissions considering both direct and indirect emissions as the outputs from almost all the energy-intensive sectors go into the production process of these two sectors. In terms of life style differences across income classes, the urban top 10% accounts for emissions of 3416 kg per year while rural bottom 10% class accounts for only 141 kg per year. The CO₂ emission embodied in the consumption basket of top 10% of the population in urban India is one-sixth of the per capita emission generated in the US.     

低碳发展时代的世界与中国能源格局

哥本哈根会议认定了"2℃"和"在2050年前全球排放量减到1990年的一半",到2050年,碳减排要求世界人均能耗不高于2.5t标煤/a。能源碳强度ω是一个反映碳排放与能源结构关系的新指标,利用它与一次能源消费中生成并排放二氧化碳的各种形式能源所占比率γ的关联式ω=2.4γ进行推算:按照450情景方案,二氧化碳排放峰值307×108t出现在2020年,而能耗峰值在2030年左右;按照丹麦方案,二氧化碳排放峰值320×108t出现在2025年,能耗峰值也大约在2030年,将达到273×108t标煤/a,人均3.3t标煤/a。碳排放峰值年越推迟,达到2050年远期目标的难度越大。按照丹麦方案,2030~2050年的20年间,需平均每年减排10×108t二氧化碳,同时与450情景方案相比,大气中二氧化碳总量将增加400×108t以上。根据中国政府宣布的2010~2020年的减排目标推算,2020年能耗为41×108t标煤,二氧化碳排放约74×108t,中国只要能做到能耗强度每5年降低20%,就能够实现此目标。中国应在2020年之前快速发展非化石能源、加速产业转型、大力发展天然气、大幅提高能效,这样就完全能够与世界减排同行。     

Missing carbon reductions? Exploring rebound and backfire effects in UK households

Households are expected to play a pivotal role in reducing the UK's greenhouse gas (GHG) emissions, and the UK Government is encouraging specific household actions to help meet its targets. However, due to the rebound effect, only a portion of the GHG emission reductions estimated by simple engineering calculations are generally achieved in practice. For example, replacing short car journeys by walking or cycling reduces consumption of motor fuels. But this frees up money that may be spent on, for example, purchasing extra clothes or flying on vacation. Alternatively, the money may be put into savings. Since all of these options lead to GHG emissions, total GHG savings may be less than anticipated. Indeed, in some instances, emissions may increase—a phenomenon known as ‘backfire’. We estimate that the rebound effect for a combination of three abatement actions by UK households is approximately 34%. Targeting re-spending on goods and services with a low GHG intensity reduces this to a minimum of around 12%, while re-spending on goods and services with a high GHG intensity leads to backfire. Our study highlights the importance of shifting consumption to lower GHG intensive categories and investing in low carbon investments.     

Is energy consumption per capita broken stationary? New evidence from regional-based panels

For the first time, a new panel unit root testing procedure, developed by [51]Carrion-i-Silvestre et al. [2005. Breaking the panels: an application to GDP per capita. Econometrics Journal 8, 159–175], is applied to re-investigate the stationarity of energy consumption per capita for 7 regional panel sets covering the 1971–2002 period. With structural breaks and cross-sectional correlations introduced into the model, it becomes clear that all regional-based panels of energy consumption per capita are stationary. The structural breakpoints identify the likely causes of major changes in energy consumption in the past. The findings underscore the importance of accounting for exogenous shocks to a series and offer several important implications for policy makers and energy economists.     

Electricity consumption and economic growth nexus in Bangladesh: Revisited evidences

In this paper, an attempt is being made to examine the causal relationship between per capita electricity consumption and per capita GDP of Bangladesh using the vector error correction specified Granger causality test to search their short-run, long-run and joint causal relationships for the period of 1971–2008. Empirical findings reveal that there is a short-run unidirectional causal flow running from per capita electricity consumption to per capita GDP without feedback. The presence of a positive short-run causality explains that an increase in electricity consumption directly affects economic activity in Bangladesh. Likewise, results from joint causality exhibit the same as in short-run. By contrast, long-run results show a bi-directional causality running from electricity consumption to economic growth with feedback. These findings can provide essential policy insights to design immediate and long-term growth prospect for Bangladesh keeping in mind its present planned growth strategy and dismal power and energy sector.