Climate policy and the optimal extraction of high‐ and low‐carbon fossil fuels

Abstract. We study how restricting CO₂ emissions affects resource prices and depletion over time. We use a Hotelling‐style model with two non‐renewable fossil fuels that differ in their carbon content (e.g., coal and natural gas) and in addition are imperfect substitutes in final good production. We show that an economy facing a CO₂ flow‐constraint may substitute towards the relatively dirty input. As the economy tries to maximize output per unit of emissions it is not only carbon content that matters: productivity matters as well. With an announced constraint the economy first substitutes towards the less productive input such that more of the productive input is available when constrained. Preliminary empirical results suggest that it is cost‐effective to substitute away from dirty coal to cleaner oil or gas, but to substitute from natural gas towards the dirtier input oil.     

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.     

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.     

What will be the environmental effects of new free-floating car-sharing systems? The case of car2go in Ulm

The purpose of this paper is the discussion of the environmental effects of a free-floating car-sharing system operating in Ulm, Germany. The system, called car2go, allows users to take and leave vehicles at any point within the city limits. Thus opposed to traditional car-sharing, there are no fixed stations and in particular one-way trips of any length are possible without a booking requirement. Since this is the first free-floating system in operation, there is as yet no associated empirical research. Based on primary data from a survey, a model was developed to forecast the environmental impact of car2go. The prognosis considers the period of five years after the launch of car2go in 2009 and indicates a CO₂-reduction per average car2go-user. In addition, more than a quarter of the survey respondents stated that they may forgo a car purchase if car2go was offered permanently. By reaching a greater share of citizens than traditional systems, the results indicate that free-floating car-sharing systems could contribute to reducing private vehicle ownership in cities.     

The impact of urbanization on CO2 emissions: Evidence from developing countries

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.     

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.     

Carbon dioxide emissions and interregional economic convergence in China

This paper examines the effect of carbon dioxide (CO₂) emissions on economic convergence among Chinese provinces from 1998 to 2012 using the framework of environmental total factor productivity (ETFP). We modify the standard β-convergence model to incorporate undesirable outputs such as CO₂ emissions. The bootstrap method is subsequently applied to estimate the values of ETFP, and the system generalized method of moments (GMM) estimator is employed to test for convergence. The results indicate that there is imperfect interregional economic convergence in China, which is supported by gross domestic product (GDP) and CO₂ emissions. However, the convergence process is inefficient due to the ‘catching up’ convergence trend of per capita CO₂ emissions in China. This paper also finds that the variation in the capital stock and labour does not support the hypothesis that all of the provinces can converge to a steady state.     

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.     

China’s CO2 emissions from power generating stations and the role of subsidies – a first exploration

Our analysis is the first of its kind to explore patterns of subsidization and CO₂ emissions in China’s electricity-producing sector. Applying data for all power plants across China and controlling for the age, capacity and location of generating stations, we find that plants attracting a higher government subsidy are also the plants generating a disproportionate share of CO₂ emissions. This distortion is incongruent with China’s aspiration for a greener economy but may be eliminated if China delivers on its November 2013 announcement to review many industry subsidies on its way to a fully fledged market economy.     

Input-output analysis of carbon emissions embodied in China-Japan trade

Energy-related CO₂ emissions embodied in international trade have been widely studied by researchers all over the world. By using the bilateral trade input–output (BTIO) approach, this study investigates the CO₂ emissions embodied in China–Japan trade during 1995–2009 and attempts to identify the driving forces for the change in CO₂ emissions embodied in China’s exports to Japan during that period by using structural decomposition analysis (SDA). Result shows that CO₂ emissions embodied in China’s exports increased by about 100% from 1995 to 2009, whereas those embodied in China’s imports increased by about 500% during the same period. Result of this research also reveals that the scale effect had a large influence on the increase in CO₂ emissions embodied in China–Japan trade. The technical effect greatly decreased CO₂ emissions embodied in China’s exports to Japan, but obviously increased those embodied in imports. The influence of the structural effect was relatively small and insignificant in the change of CO₂ emissions embodied in China’s exports to Japan, but was notable in the change of emissions embodied in imports.     

Input–output analysis of CO2 emissions embodied in trade and the driving forces: Processing and normal exports

In recent years, energy-related CO₂ emissions embodied in international trade and the driving forces have been widely studied by researchers using the environmental input–output framework. Most previous studies however, do not differentiate different input structures in manufacturing processing exports and normal exports. Using China as an example, this paper exemplifies how implications of results obtained using different export assumptions differ. The study posits that the utilization of traditional I–O model results in an overestimation of emissions embodied in processing exports and an underestimation in normal exports. The estimate of CO₂ emissions embodied in China's exports drops by 32% when the extended I–O model is used. The choice of export assumption has more impact on the decomposition results for processing exports. The study further highlights that for a country with an export structure similar to China, it is meaningful to look into the impact of export assumption in embodied emission studies.     

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.     

Environmental impact of household activity in Spain

The objective of this paper is to analyse the environmental impacts of the Spanish economy by way of water and atmospheric pollution on the basis of a Spanish Accounting Matrix for 1999. Only households were taken as an exogenous account. The pollution measures are estimated for seven categories of pollution: three atmospheric pollutants (CO₂, NO_x and SO_x) and four indicators for water (waste water, nitrogen, metals and biological oxygen demand (BOD)). The environmental data base was obtained from the Spanish Statistical Institute.The analysis reveals that pollution in Spain is closely linked to food production, energy, extractive industries and paper manufacturing. We show that services, taken as a whole, are major polluters, though this is due to the volume of household expenditure they represent rather than their pollution potential as such. We also show that the Spanish economy avoids a great deal of pollution by importing inputs, which pollute where they are produced. Finally, the study also provides per capita pollution values for the aforementioned seven pollutants.     

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.     

Scaffolding,software and scenarios: Applying Bruner's learning theory to energy scenario development with the public

While there is a literature on public and stakeholder engagement in environmental research and scenario development, less attention has been given to the individual learning processes that take place in these contexts. We present public perceptions of emission contraction scenarios for the UK city of Manchester and discuss this in terms of learning theory developed by Lev Vygotsky and Jerome Bruner. A key theme of this was the combination of three learning tools: scaffolding techniques, scenario building and backcasting. Overall, participants had little trouble envisaging a city-scale 41% CO₂ emissions reduction by 2020 relative to a 2005 baseline. However envisaging a 90% CO₂ emissions reduction for 2050 was found much more difficult, inducing discussion of whether some forms of compulsion might be justifiable. Despite detailed discussion and real-time, modelled feedback on the emissions implications of various energy technology scenarios, participants largely retained their original attitudes towards individual technologies and demand reduction options.     

Climate policy in Western Europe and avoided costs of air pollution control

Abatement of CO₂ emissions will be accompanied by reduced air pollutant emissions such as particulate matter (PM), SO₂, and NO_x. This, in turn, will reduce the need for end of pipe (EOP) pollution control technologies to meet future air quality targets. This dynamic could put more stringent air quality goals within reach, and increase the political feasibility of climate policy. This paper presents a CGE model that has been modified to include the emissions and EOP abatement of PM, SO₂, and NO_x from stationary sources in the EU-17. Emissions of pollutants are modeled as fixed-factor complementary inputs to their associated source. Abatement in each sector is modeled as a substitution between the pollutants and discrete abatement technologies, each of which is sector-specific and characterized by a marginal abatement cost and technical capacity constraint. Scenarios are run to 2020, to assess the costs and co-benefits of simultaneous air quality and climate policies. We find that under the Kyoto Protocol in 2010, the welfare cost of pollution control is reduced by 16% compared to the baseline, effectively offsetting the cost of CO₂ abatement by 15%. The co-benefit results depend heavily on policy choices, and their magnitude relative to total costs is likely to decline as greenhouse targets become more ambitious. In our scenarios, pollution control cost savings range from 1.3 to 20% in 2020, yielding a climate cost offset range of 0.2 to 3.9%. The CO₂ credit imports allowed by the EU via the Clean Development Mechanism (CDM) offer a total savings of $9.7bn in 2020, but only need to be compensated by an additional $0.3–0.4bn in domestic pollution control from stationary sources.     

Carbon dioxide emission and income: A temporal analysis of cross-country distributional patterns

This paper explores the relationship between the inter-country income inequality and CO₂ emission and temporal shifts in such a relationship. It also examines how the mean per capita CO₂ emission and its distributional inequality are related to the corresponding mean and the distributional inequality of income. The analysis is based on a cross-country panel data set at the level of country-group. Here environmental damage is treated as a private good and the technique of Lorenz and specific concentration curve analysis have been used as the basic analytical framework to argue that distributional inequality of income should be an explanatory variable in the Environmental Kuznets Curve relationship, along with the mean income level. In the empirical exercise, Johansen's cointegration analysis technique is used to explore existence of statistically significant cointegrating vector(s) relating mean emission and Specific Concentration Ratio of emission to mean income level and Lorenz Ratio of income, using a set of country-group specific time series data set which covers four country-groups (viz., Africa, America, Asia and Europe) and the World as a whole. The empirical results confirm that the inter-country income inequality has significant effect on the mean emission level and inter-country inequality of emission level for most of the country-groups considered.     

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.     

Lifestyles, technology and CO2 emissions in China: A regional comparative analysis

With rapid economic development, higher income levels, urbanization and other socio-economic drivers, people's lifestyles in China have changed remarkably over the last 50 years. This paper uses the IPAT model (where I = Impact representing CO₂ emissions, P = Population, A = Affluence, and T = emission intensity) to analyze how these main drivers contributed to the growth of CO₂ emissions over this time period. Affluence or lifestyle change has been variously recognized as one of the key factors contributing to CO₂ emissions. Through comparative analysis of the development of five regions in China, we trace lifestyle changes since the foundation of the People's Republic of China (PRC) in 1949 until 2002. We find that household consumption across the five regions follows similar trajectories, driven by changes in income and the increasing availability of goods and services, although significant differences still exist between and within regions due to differential policies in China and different possibilities for social mobility. There are considerable differences between the southeast and northwest and between urban and rural areas. We also found that technological improvements have not been able to fully compensate for the increase of emissions due to population growth and increasing wealth, which is also in line with results from other studies. Finally, this paper emphasizes that developing countries such as China, which is home to 22% of the world population and a growing middle class, and which is on a fast track to modernization, need to ensure that people's lifestyles are changing towards more sustainable ways of living. China has been investing heavily in infrastructure and thus creating the emissions of tomorrow. Thus investing, for example, in public transport and low energy building today will help reduce emissions in the future and will support more sustainable lifestyles.     

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.