Re-Examining the Empirical Evidence for Stochastic Convergence of Two Air Pollutants with a Pair-Wise Approach

This paper examines the hypothesis of stochastic convergence for two air pollutants emissions (carbon dioxide [CO₂] and sulfur dioxide [SO₂]). The value-added of this paper lies in the use of a recent, alternative econometric method, a pair-wise approach that considers all the possible pairs of log per-capita pollutant emission gaps across all the countries in the sample. In this method, all emissions differences must be stationary around a constant mean. Empirical results support different conclusions on stochastic convergence in per capita CO₂ and SO₂ emissions depending on the choice of the unit root test. The use of specific critical values from the ADF-KPSS joint test overcomes these initial conflicting results and leads to small percentages of stationary pairs around a constant mean; which invalidate the hypothesis of stochastic convergence for per capita emissions of CO₂ and SO₂, even over the OECD sub-dataset.     

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.     

Does financial development reduce CO2 emissions in Malaysian economy? A time series analysis

This study deals with the question whether financial development reduces CO₂ emissions or not in case of Malaysia. For this purpose, we apply the bounds testing approach to cointegration between the variables. We establish the presence of significant long-run relationships between CO₂ emissions, financial development, energy consumption and economic growth. The empirical evidence also indicates that financial development reduces CO₂ emissions. Energy consumption and economic growth add in CO₂ emissions. The Granger causality analysis reveals the feedback hypothesis between financial development and CO₂ emissions, energy consumption and CO₂ emissions and, between CO₂ emissions and economic growth.     

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.     

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.     

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.     

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.     

Distribution Dynamics of CO<Subscript>2</Subscript> Emissions

This paper uses nonparametric methods to examine the convergence in CO₂ emissions per capita on a sample of 100 countries for the period 1966–1996. Industrial countries show a convergence pattern. However, there is little evidence of convergence for the whole sample.     

An analysis of China's climate policy using the China-in-Global Energy Model

The primary approach to address climate change in China has been the use of CO₂ intensity targets coupled with targets for low carbon energy deployment. We evaluate the impact of extending similar targets through 2050 on China's energy use profile and CO₂ emissions trajectory using the China-in-Global Energy Model (C-GEM). The C-GEM is a global computable equilibrium model that includes energy and economic data provided by China's statistical agencies, calibration of savings, labor productivity, and capital productivity dynamics specific to China's stage of development, and regional aggregation that resolves China's major trading partners. We analyze the combined impact of extending CO₂ intensity targets, implemented via a cap-and-trade program, and low carbon energy policies (directives for nuclear power expansion and feed-in tariffs for wind, solar, and biomass energy) through 2050. Although with the policy, simulated CO₂ emissions are around 43% lower in 2050 relative to a reference (No Policy) counterfactual, China's CO₂ emissions still increase by over 60% between 2010 and 2050. Curbing the rise in China's CO₂ emissions will require fully implementing a CO₂ price, which will need to rise to levels higher than $25/ton in order to achieve China's stated goal of peaking CO₂ emissions by 2030.     

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.     

Adoption of digital repositories for CO2 emissions reduction: the case of Korea

This study aims to estimate the potential economic benefits, energy and CO₂ emissions reductions when using trusted third-party digital repository (TTPR) services in one individual bank, and within the banking industry in Korea. First, the cost, benefit and net benefit of using TTPR services in the banking industry are estimated. Second, the net induced output effect is estimated. Third, based on an environmentally extended input–output analysis, CO₂ emissions reduction was estimated as 1924.32 tons in 2009 and the energy consumption reduction as 640.70 TOE. Fourth, the total economic benefit, which is the sum of the net induced output effect and economic value of CO₂ emissions reductions, is approximately $11.04 million. The findings demonstrate that energy consumption and CO₂ emissions reductions are meaningful enough to result in significant economic benefits. Therefore, the Korean government should promote the use of TTPR services in the entire industry.     

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.     

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.     

A fair share: Burden-sharing preferences in the United States and China

Using a sequential discrete choice experiment, we investigate preferences for distributing the economic burden of reducing CO₂ emissions in the two largest CO₂-emitting countries: the United States and China. We asked respondents about their preferences for four burden-sharing rules to reduce CO₂ emissions according to their country's relative (1) historical emissions, (2) income level, (3) emissions per capita, and (4) current emissions. We found that respondents overall favored the rule that was least costly for their country. In addition, the willingness to pay was much higher in China, suggesting that how mitigation costs are shared across countries is more important for Chinese than for Americans. To some extent the willingness to pay varies with socioeconomic characteristics and attitudes. For example, university-educated respondents in the United States are willing to pay more for the rule that is the least costly for their own country, compared with those with a lower education level. At the same time, the ranking of the two most preferred rules are generally robust across all socioeconomic groups within each country.     

A Structure Decomposition Analysis of China’s Production-Source CO<Subscript>2</Subscript> Emission: 1992–2002

This paper provides an empirical analysis of the relative impacts of various factors on CO₂ emissions from production of goods and services in China during two consecutive periods of 1992–1997 and 1997–2002. Results show that, on the positive side, level of final demand for goods and services was the main reason for the increase of production-source CO₂ emission, while structure of net export has similar positive effect during the first period of 1992–1997. On the negative side, technology factors remains as the main factors reducing emissions. The level of net export played some role in the first period, but the effects were seen in the second period from energy intensity, fuel mix and input mix. The results suggest that economic structure be focused as an important factor for CO₂ emission reduction, with construction and transport as two key industries to lower carbon emission.     

CO2 emissions in Australia: economic and non-economic drivers in the long-run

Australia has sustained a relatively high economic growth rate since the 1980s compared to other developed countries. Per capita CO₂ emissions tend to be highest amongst OECD countries, creating new challenges to cut back emissions towards international standards. This research explores the long-run dynamics of CO₂ emissions, economic and population growth along with the effects of globalization tested as contributing factors. We find economic growth is not emission-intensive in Australia, while energy consumption is emissions intensive. Second, in an environment of increasing population, our findings suggest Australia needs to be energy efficient at the household level, creating appropriate infrastructure for sustainable population growth. High population growth and open migration policy can be detrimental in reducing CO₂ emissions. Finally, we establish globalized environment has been conducive in combating emissions. In this respect, we establish the beneficial effect of economic globalization compared to social and political dimensions of globalization in curbing emissions.     

Stochastic Divergence or Convergence of Per Capita Carbon Dioxide Emissions: Re-examining the Evidence

This paper revisits the time-series literature on the convergence of per capita carbon dioxide (CO₂) emissions and examines the robustness of previous results. Using a sample of OECD countries for the period 1950–2002 we employ a battery of stationarity and unit root tests including those that allow for cross-sectional dependencies within the panel. We also correct for inaccuracies in previous studies that could result in a trend-stationary series being labelled as converging even if it were actually diverging from the international average. The body of evidence provided by our analysis suggests that per capita CO₂ emissions have not converged among OECD countries during the period under consideration. This finding is of importance to both climate change policy makers and to those who construct climate change models.      

Is high-speed rail heading towards a low-carbon industry? Evidence from a quasi-natural experiment in China

Existing studies have investigated the environmental dividends of substituting high-speed rail (HSR) for other energy-intensive vehicles from an engineering standpoint, but they have yet to explore the economic effects of HSR and the associated carbon emissions reduction benefits. To fill the research gap, we use panel data from 285 Chinese cities between 2004 and 2014, and employ a spatial difference-in-differences model to empirically examine the impact of HSR opening on industrial CO₂ emissions. After controlling for spillover effects from neighboring HSR cities, our results show that cities offering HSR services significantly reduce their own industrial CO₂ emissions. This finding is robust and is unaffected by outliers, control group selection, time trends, geography and expectation factors, or endogeneity. The mechanism test reveals that the structural transformation effect, technological innovation effect, and investment attractiveness effect are three intermediate influence channels. Further research finds that the emissions reduction benefit increases as the spatial and temporal intensities of HSR openings ascend the ladder, and HSR services have a spillover effect within a 300-kilometer radius. Moreover, the carbon benefit of China’s HSR far surpasses its carbon footprint, indicating that China’s HSR is green after accounting for economic emissions reductions that were often neglected in prior research. Based on these findings, we recommend that China accelerate HSR expansion in order to reduce carbon emissions in a scientific and responsible manner.     

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.     

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.