Analysis of CO2 emissions peak: China’s objective and strategy

Establishing positive and urgent targets for CO₂ reduction and emission peak, and promoting energy conservation and energy structure adjustment are among the strategies to address global climate change and CO₂ emissions reduction. They are also means to break through the constraints of domestic resources and environment, and internal needs, to achieve sustainable development. Generally speaking, a country's CO₂ emission peak appears after achieving urbanization and industrialization. By then, connotative economic growth will appear, GDP will grow slowly, energy consumption elasticity will decrease, and energy consumption growth will slow down – dependent mainly on new and renewable energies. Fossil fuel consumption will not increase further. When CO₂ emission reaches its peak, the annual reduction rate of CO₂ intensity of GDP is greater than GDP annual growth rate; and the annual reduction rate of CO₂ intensity of energy use is greater than the annual growth rate of energy consumption. Therefore, three important approaches to promotion of CO₂ emission peak can be concluded: maintaining reasonable control of GDP growth, strengthening energy conservation to significantly reduce the GDP energy intensity, and optimizing the energy mix to reduce the CO₂ intensity of energy use. By around 2030, China will basically have completed its rapid development phase of industrialization and urbanization. Connotative economic growth will appear with the acceleration of industrial structure adjustment. The target of GDP energy intensity will still be to maintain an average annual reduction of 3% or higher. The proportion of non-fossil fuels will reach 20–25%, and the aim will be to maintain an average annual growth rate of 6–8%. The total annual energy demand growth of 1.5% will be satisfied by the newly increased supply of non-fossil fuels. The annual decline in CO₂ intensity of GDP will reach 4.5% or higher, which is compatible with an average annual GDP growth rate of approximately 4.5% in order to reach CO₂ emission peak. This corresponds to the level of China's potential economic growth. Achieving CO₂ emission peak will not impose a rigid constraint on economic development, but rather promote economic development and accelerate the transformation of green, low-carbon development. The CO₂ emission peak can be controlled with a cap of 11 billion tons, which means that CO₂ emission will increase by less than 50% compared with 2010. The per capita emission peak will be controlled at a level of less than 8 tons, which is lower than the 9.5 tons in the EU and Japan and much lower than the 20 tons in the US, future economic and social development faces many uncertainties in achieving the CO₂ emission peak discussed above. It depends on current and future strategies and policies, as well as the pace and strength of economic transformation, innovation, and new energy technologies. If the economic transformation pattern fails to meet expectations, the time required to reach CO₂ emission peak would be delayed and the peak level would be higher than expected. Therefore, we need to coordinate thoughts and ideas and deploy these in advance; to highlight the strategic position of low-carbon development and its priorities; to enact mid- to long-term energy development strategies; and to establish and improve a system of laws, regulations, and policies as well as an implementation mechanism for green, low-carbon development. Oriented by positive and urgent CO₂ reduction and peak targets, the government would form a reversed mechanism to promote economic transformation and embark on the path of green, low-carbon development as soon as possible.     

NEWS

Abstract

Co-integration theory has been employed in this paper and Granger causes are found between urbanization rate and GDP, between capital stock and GDP. Scenario analysis of GDP is performed using the GDP model established in the paper. The energy consumptions in Germany, Japan and other developed countries are analyzed and compared with the energy consumption in China. Environmental friendly scenario of energy demand and CO₂ emissions for sustainable China has been formed based on the results of comparison. Under environmental friendly scenario, the primary energy consumption will be 4.31 billion ton coal equivalence (tce) and CO₂ emissions will be 1.854 billion t-c in 2050; energy per capital will be 3.06 tce that is 1.8 times of energy consumed in 2005 in China and 51% of consumed energy per capital in Japan in 2003. In 2050, the energy requirement of unit GDP will be 20% lower than that of Germany in 2003, but will be still 37% higher than that in Japan in 2003. It is certain that to fulfill the environmental friendly Scenario of energy demand and CO₂ emissions is a difficult task and it needs long term efforts of the whole society, not only in production sectors but also in service and household sectors.     

中国深度脱碳路径及政策分析

《巴黎协定》开启了全球气候治理的新进程,进一步明确了全球应对气候变化的紧迫性和目标要求。对中国来说,如何尽快推动经济增长和碳排放的脱钩,不仅是实现应对气候变化中长期战略目标的核心任务,更是保障经济社会可持续发展的必然要求。为此,本文基于中国经济、社会、能源和重要的终端能源消费行业历史发展趋势的分析,通过"自下而上"的模型方法考察了能源、工业、建筑、交通等行业和领域的深度碳减排潜力,并基于详细的技术分析提出了中国中长期的深度脱碳路径。研究表明,在深度脱碳路径下,中国将顺利完成国家自主贡献提出的2030年左右碳排放达峰和碳强度较2005年下降60%—65%的目标;此后非化石能源发展进一步加速,到2050年非化石能源在一次能源中占比达到44%左右,工业、建筑、交通等终端耗能行业的低碳转型进一步加速,2050年碳排放回落至2005年前水平,碳强度较2005年下降90%以上。为实现深度脱碳,本文从强化碳排放总量约束和相关制度规范建设、完善产业低碳发展激励政策、加强相关市场机制作用、倡导低碳生活和消费等四方面提出了相应的政策建议,以供决策者参考。     

Pathway and policy analysis to China’s deep decarbonization

The Paris Agreement marks the beginning of a new era in the global response to climate change, which further clarifies the long-term goal and underlines the urgency addressing climate change. For China, promoting the decoupling between economic growth and carbon emissions as soon as possible is not only the core task of achieving the medium- and long-term goals and strategies to address climate change, but also the inevitable requirement for ensuring the sustainable development of economy and society. Based on the analysis of the historical trends of the economy and social development, as well as society, energy consumption, and key end-use sectors in China, this paper studies the deep carbon emission reduction potential of carbon emission of in energy, industry, building, and transportation and other sectors with “bottom-up” modeling analysis and proposes a medium- and long-term deep decarbonization pathway based on key technologies’ mitigation potentials for China. It is found that under deep decarbonization pathway, China will successfully realize the goals set in China’s Intended Nationally Determined Contributions of achieving carbon emissions peak around 2030 and lowering carbon dioxide emissions per unit of gross domestic product (GDP) by 60–65% from the 2005 level. From 2030 onward, the development of nonfossil energy will further accelerates, and the share of nonfossil energies in primary energy will amounts to about 44% by 2050. Combined with the acceleration of low-carbon transformation in end-use sectors including industry, building, and transportation, the carbon dioxide emissions in 2050 will fall to the level before 2005, and the carbon dioxide emissions per unit of GDP will decreases by more than 90% from the 2005 level. To ensure the realization of the deep decarbonization pathway, this paper puts forward policy recommendations from four perspectives, including intensifying the total carbon dioxide emissions cap and strengthening the related institutional systems and regulations, improving the incentive policies for industrial low-carbon development, enhancing the role of the market mechanism, and advocating low-carbon life and consumption patterns.     

Energy, environment and growth nexus in South Asia

The present study investigates the energy, environment and growth nexus for a panel of South Asian countries including Bangladesh, India, Pakistan, Sri Lanka and Nepal. The simultaneous analysis of real GDP, energy consumption and CO₂ emissions is conducted for the period 1980–2010. Levin panel unit root test and Im test panel unit root both indicate that all the variables are I (1). In addition, Kao’s panel Cointegration test specifies a stable long-term relationship between all these variables. Empirical findings show that a 1 % increase in energy consumption increases output by 0.81 % in long run whereas for the same increase in CO₂ emission output falls by 0.17 % in long run. Panel Granger causality tests report short-run causality running from energy consumption to CO₂ emissions and from CO₂ emissions to GDP.     

CO2 emissions in German, Swedish and Colombian manufacturing industries

This study evaluates and compares the trends in CO₂ emissions for the manufacturing industries of three countries: two developed countries (Germany and Sweden) that have applied several measures to promote a shift towards a low-carbon economy and one developing country (Colombia) that has shown substantial improvements in the reduction of CO₂ emissions. This analysis is conducted using panel data cointegration techniques to infer causality between CO₂ emissions, production factors and energy sources. The results indicate a trend of producing more output with less pollution. The trends for these countries’ CO₂ emissions depend on investment levels, energy sources and economic factors. Furthermore, the trends in CO₂ emissions indicate that there are emission level differences between the two developed countries and the developing country. Moreover, the study confirms that it is possible to achieve economic growth and sustainable development while reducing greenhouse gas emissions, as Germany and Sweden demonstrate. In the case of Colombia, it is important to encourage a reduction in CO₂ emissions through policies that combine technical and economic instruments and incentivise the application of new technologies that promote clean and environmentally friendly processes.     

An International Comparative Analysis on China’s Economic Growth and the Convergence in Energy Intensity Gap and Its Economic Mechanism

Abstract

In this paper, the authors have empirically analyzed the convergence in per capita GDP gap and the convergence in the variation of energy intensity with respect to the change of per capita GDP between China and eight developed countries. Then, the authors run a regression on the impact of decisive factors of economic growth on energy intensity and its change, so as to find out the economic mechanism of energy intensity gap changing with respect to the variation of economic growth. This study concludes that: First, there is a convergence in per capita GDP gap between China and the eight developed countries. With the convergence in per capita GDP gap, the energy intensity gap between China and eight different countries also converge, and the convergence rate of the latter is faster than that of the former, i.e. if the per capita GDP gap between China and the eight developed countries decreases by 1%, the energy intensity gap between them will correspondingly decrease by 1.552%. Second, the energy intensity decreases with the improvement of industrial structure, the rising of energy prices, the advances of technology, and the expansion of investment in fixed assets, and it slightly increases with the increase of FDI. Third, the energy intensity gap between China and eight developed countries narrows with the lessening of the difference in fixed assets investment, energy prices, and technological progress between China and eight developed countries, yet increases with the narrowing of the difference in FDI, and has no significant correlation with the difference in industrial structure. Fourth, the narrowing of difference in per capita GDP between China and the eight developed countries can result in the lessening of energy intensity gap, whose economic mechanism is that the decisive factors, such as difference in investment, technology, and the competition mechanism of prices, which can determine the difference in economic growth, can significantly affect the energy intensity gap.     

Dynamic Changes,Regional Differences,and Influencing Factors of CO2 Emission Performance in China

Abstract

This paper proposes to use DEA models with undesirable outputs to construct the Malmquist index that can be use to investigate the dynamic changes of CO₂ emission performance. With the index, the authors have measured the CO₂ emission performance of 28 provinces and autonomous regions in China from 1996 to 2007; with the convergence theory and panel data regression model, the authors analyze the regional differences and the influencing factors. It is found that the performance of CO₂ emissions in China has been continuously improved mainly due to the technological progress, and the average improvement rate is 3.25%, with a cumulative improvement rate of 40.86%. In addition, the CO₂ emission performance varies across four regions. As a whole, the performance score of eastern China is the highest. The northeastern and central China has relatively lower performance scores, and the western China is relatively backward. The regional differences are decreasing, and the performance of CO₂ emissions is convergent. The influence of some factors on the performance of CO₂ emissions is significant, such as the level of economic development, the level of industrial structure, energy intensity, and ownership structure. The influence of some factors, such as opening-up to the outside world, on the performance of CO₂ emissions is not significant.     

A subsystem input–output decomposition analysis of CO<Subscript>2</Subscript> emissions in the service sectors: a case study of Beijing,China

The carbon emissions in service sectors have attracted increasing attention around the world. However, few studies have examined the driving forces for CO₂ emissions from service sectors in developing countries. With the process of accelerating industrialization, China’s service sectors are facing growing pressure to pursue energy savings and emission reductions, especially in several developed regions. In this paper, in order to better understand how CO₂ emissions in Beijing’s service sectors have evolved, we utilized a subsystem input–output decomposition analysis to study the pattern and driving factors of consumption-based emissions in Beijing’s service sectors. The results showed that the transportation sector and the Scientific Studies Technical Services sector caused the most CO₂ emissions in Beijing’s service sectors. The emission intensity effect potentially reduced CO₂ emissions by 10,833 Mt, primarily due to the decreased energy intensity of non-service sectors. Effects of demand and technology were mainly responsible for the increased CO₂ emissions in Beijing’s service sectors. Such influence was mainly related to the external component of service sectors, indicating a strong pull effect exerted by service sectors on non-service sectors. Thus, decarbonizing the supply chain of service sectors and improving the energy intensity are necessary to alleviate CO₂ emissions in Beijing.     

Human well-being, the global emissions debt, and climate change commitment

Energy consumption is fundamentally necessary for human well-being. However, although increasing energy consumption provides substantial improvements in well-being for low and intermediate levels of development, incremental increases in consumption fail to provide improvements for “super-developed” countries that exhibit the highest levels of development and energy consumption. The aim of this note is, therefore, to quantitatively explore the global emissions debt and climate change commitment associated with the gap in energy consumption between the energy-saturated super-developed countries and the rest of the world. Adopting Kates’ identity, I calculate that elevating the current populations in the non-super-developed countries to the energy and carbon intensities of the United States is akin to adding the fossil-fuel CO₂ emissions of more than 15 United States to the global annual total, implying cumulative emissions of almost 4000 GT CO₂ from 2010 through 2050. The inevitability of continued emissions beyond 2050 suggests that the transition of non-super-developed countries to a US-like profile between now and 2050 could, by itself, plausibly result in global warming of 3.2 °C above the late-twentieth century baseline, including an extremely high likelihood that global warming would exceed 1.2 °C. Global warming of this magnitude is likely to cause regional climate change that falls well outside of the baseline variations to which much of the world is presently accustomed, meaning that a US-like energy-development pathway carries substantial climate change commitment for both non-super-developed and super-developed countries, independent of future emissions from the super-developed world. However, the assumption that all countries converge on the minimum energy intensity of the super-developed world and a carbon-free energy system between now and 2050 implies cumulative CO₂ emissions of less than 1000 GT CO₂ between 2010 and 2050, along with a less than 40 % probability of exceeding 1.2 °C of additional global warming. It is, therefore, possible that intensive efforts to develop and deploy global-scale capacity for low-carbon energy consumption could simultaneously ensure human well-being and substantially limit the associated climate change commitment.     

Low-carbon transitions in world regions: comparison of technological mitigation potential and costs in 2020 and 2030 through bottom-up analyses

This study focuses on low-carbon transitions in the mid-term and analyzes mitigation potentials of greenhouse gas (GHG) emissions in 2020 and 2030 in a comparison based on bottom-up-type models. The study provides in-depth analyses of technological mitigation potentials and costs by sector and analyzes marginal abatement cost (MAC) curves from 0 to 200 US $/tCO₂ eq in major countries. An advantage of this study is that the technological feasibility of reducing GHG emissions is identified explicitly through looking at distinct technological options. However, the results of MAC curves using the bottom-up approach vary widely according to region and model due to the various differing assumptions. Thus, this study focuses on some comparable variables in order to analyze the differences between MAC curves. For example, reduction ratios relative to 2005 in Annex I range from 9 % to 31 % and 17 % to 34 % at 50 US $/tCO₂ eq in major countries. An advantage of this study is that the technological feasibility of reducing GHG emissions is identified explicitly through looking at distinct technological options. However, the results of MAC curves using the bottom-up approach vary widely according to region and model due to the various differing assumptions. Thus, this study focuses on some comparable variables in order to analyze the differences between MAC curves. For example, reduction ratios relative to 2005 in Annex I range from 9 % to 31 % and 17 % to 34 % at 50 US /tCO₂ eq in 2020 and 2030, respectively. In China and India, results of GHG emissions relative to 2005 vary very widely due to the difference in baseline emissions as well as the diffusion rate of mitigation technologies. Future portfolios of advanced technologies and energy resources, especially nuclear and renewable energies, are the most prominent reasons for the difference in MAC curves. Transitions toward a low-carbon society are not in line with current trends, and will require drastic GHG reductions, hence it is important to discuss how to overcome various existing barriers such as energy security constraints and technological restrictions.     

Causality relationship between CO2 emissions,GDP and energy intensity in Tunisia

This article analyzes the causality between the economic growth, the energy and the environment, measured by CO₂ emissions. Our empirical study is based on a series of annual data from 1980 to 2010 in Tunisia. Our study was conducted using the Granger causality test and variance decomposition. The empirical results confirm the presence of a positive effect between the energy consumption and the economic growth measured by gross domestic product (GDP). Thus, there is a unidirectional relationship between GDP and CO₂ emissions in the short term. This analysis shows, as is common to relatively fast-growing economies in Tunisia, that the biggest contributor to the rise is CO₂ emissions. Hence, in congruence with the result of variance decomposition, the GDP affects CO₂ emissions in the short and medium term at an almost constant level (10 %). The non-renewable energy intensity in Tunisian economy is responsible for a modest reduction in CO₂ emissions, which suggests the implementation of conservation policies aimed at energy efficiency and the orientation toward renewable energy.     

Economic Analysis of CO2 Emission Trends in China

Climate change is one of hot spots all around the world. China, the second biggest CO₂ emitter, is facing increasingly severe pressure to reduce CO₂ emission. The article first describes Kaya Identity and its policy implications. Second, it uses the modified Kaya Identity and makes decomposition without residues on CO₂ emission during the period 1971-2005. Taking into account the changes of macroeconomic background, it conducts a detailed analysis in terms of CO₂ emission trend from 4^th Five Year Plan through 10^th Five Year Plan. The decomposition results indicate that economic development and increase in population are major driving forces, and that improvement in energy efficiency contributes to the reduction of CO₂ emission, and that decarbonization in primary energy structure is also an important strategic choice. Finally, the article stresses that in CO₂ order to realize the binding target of 20% reduction in GDP energy intensity during the 11^th Five Year Plan, China should speed up the readjustment of the industrial structure and energetically develop the energy-efficient technologies and clean fuel technology, which will effectively promote the country to reduce CO₂ emission and contribute to the mitigation of climate change.     

Impacts of economic growth and urbanization on CO<Subscript>2</Subscript> emissions: regional differences in China based on panel estimation

This study analyzed the impact of urbanization and the level of economic development on CO₂ emissions using the STIRPAT model and provincial panel data for China. This study classified the 29 provinces of China into three groups (eastern, central, and western regions) and examined regional differences in the environmental impacts of urbanization and economic development levels. The results demonstrated that there was an inverted U-shaped relationship between urbanization and CO₂ emissions in the central and western regions of China. However, we did not confirm the environmental Kuznets curve relationship between urbanization and CO₂ emissions in eastern China, where CO₂ emissions increase monotonically with urbanization. This study showed that the impacts of urbanization differ considerably. There was a U-shaped relationship between economic growth and CO₂ emissions. However, the point of inflexion was very low, which indicates that economic growth will promote CO₂ emissions in China. The share of the industry output value had a marginal incremental effect on CO₂ emissions. There was a decreasing effect of population scale on CO₂ emissions. Energy efficiency is the main factor that restrains CO₂ emissions, and the effect was higher in regions with low energy efficiency.     

Scenario Formation of Energy Demand and CO_2 Emissions for Sustainable China

Co-integration theory has been employed in this paper and Granger causes are found between urbanization rate and GDP, between capital stock and GDP. Scenario analysis of GDP is performed using the GDP model established in the paper. The energy consumptions in Germany, Japan and other developed countries are analyzed and compared with the energy consumption in China. Environmental friendly scenario of energy demand and CO2 emissions for sustainable China has been formed based on the results of comparison. Under environmental friendly scenario, the primary energy consumption will be 4.31 billion ton coal equivalence （tee） and CO2 emissions will be 1.854 billion t-c in 2050; energy per capital will be 3.06 tee that is 1.8 times of energy consumed in 2005 in China and 51% of consumed energy per capital in Japan in 2003. In 2050, the energy requirement of unit GDP will be 20% lower than that of Germany in 2003, but will be still 37% higher than that in Japan in 2003. It is certain that to fulfill the environmental friendly Scenario of energy demand and CO2 emissions is a difficult task and it needs long term efforts of the whole society, not only in production sectors but also in service and household sectors,     

CO2 emission driving forces and corresponding mitigation strategies under low-carbon economy mode: evidence from China’s Beijing–Tianjin–Hebei region

On account of the background of China’s “new normal” characterized by slower economic growth, this paper analyses the low-carbon economy status quo in the Beijing–Tianjin–Hebei region and empirically investigates the relationship between carbon dioxide (CO₂) emissions and its various factors for China’s Beijing–Tianjin–Hebei region using panel data econometric technique. We find evidence of existence of Environmental Kuznets Curve. Results also show that economic scale, industrial structure, and urbanization rate are crucial factors to promote CO₂ emissions. However, technological progress, especially the domestic independent research and development, plays a key role in CO₂ emissions abatement. Next, we further analyze the correlation between each subregion and various factors according to Grey Relation Analysis. Thereby, our findings provide important implications for policymakers in air pollution control and CO₂ emissions reduction for this region.     

Regional differences and influencing factors in the CO<Subscript>2</Subscript> emissions of China’s power industry based on the panel data models considering power-consuming efficiency factor

With the economic development, China has become the largest CO₂ emissions country. China’s power industry CO₂ emissions accounted for about 50% of total CO₂ emissions. Therefore, exploring major drivers of CO₂ emissions is critical to mitigating its CO₂ emissions in power industry. Many studies considered the time series model to analyze the national influences factors of CO₂ emissions. But this paper focuses on regional differences in CO₂ emissions and adopts panel data models to explore the major impact factors of CO₂ emissions in the power industry at the regional and provincial perspectives. The results indicate economic growth level plays a dominant role in reducing CO₂ emissions. The power-consuming efficiency on the demand side has large potential to mitigate CO₂ emissions, but its influences are different in three regions. The impacts of the electric power structure on CO₂ emissions decline from the eastern region to the central and western regions. The influence of urbanization and industrialization also has significant regional differences. Therefore, the governments should consider the influencing factors and regional differences and formulate appropriate policies to decrease CO₂ emissions in the power industry.     

绿色低碳背景下中国产业结构调整分析

中国作为世界第一的一次能源消费国以及最大的二氧化碳排放国,在巴黎世界气候大会上承诺于2030年以前单位碳强度较2005年降低60%—65%;此外,在《"十三五"规划纲要》中中国政府也明确提出,在"十三五"时期,碳排放强度较2005年基础上降低40%—45%的目标。在此背景下,本文基于最新的投入产出表构建了产业结构优化模型。通过行业的生产结构矩阵,构建出行业的能源结构消耗矩阵及碳排结构矩阵,旨在能源消耗量与二氧化碳排放量的双重约束下,得到中国2020年最优的产业结构调整方案,并计算了基于现有科技水平下中国最大的碳排潜力。线性规划的结果显示:(1)中国2020年最优的产业结构调整方案可以满足国民经济总产出量最大化的目标,年均增长约为8%;且相比目标年份(2005年)二氧化碳强度下降46.93%,能源强度下降26.04%,达到"十三五"规划中的气候变化目标。在保证经济最低增速(6.5%)的前提下,中国二氧化碳的排放总量可以比优化方案再多下降约14%。(2)建筑业、交通运输及仓储业仍然是中国重要的支柱产业,在国民经济整体的占比份额仍需扩大。(3)从生产的角度看,中国产业结构必须全面向第三产业服务业转型,全面提高国民经济中第三产业的比重,尤其是加大生活服务业类部门的产出量。(4)为了满足"绿色、低碳"的约束限制,半数以上的二产部门的生产规模都应有所降低,尤其是能源部门和金属加工业部门。     

Comparison of marginal abatement cost curves for 2020 and 2030: longer perspectives for effective global GHG emission reductions

This study focuses on analyses of greenhouse gas (GHG) emission reductions, from the perspective of interrelationships among time points and countries, in order to seek effective reductions. We assessed GHG emission reduction potentials and costs in 2020 and 2030 by country and sector, using a GHG emission reduction-assessment model of high resolution regarding region and technology, and of high consistency with intertemporal, interregional, and intersectoral relationships. Global GHG emission reduction potentials relative to baseline emissions in 2020 are 8.4, 14.7, and 18.9 GtCO₂eq. at costs below 20, 50, and 100 $/tCO₂eq., corresponding to +19, −2, and −7 %, respectively, relative to 2005. The emission reduction potential for 2030 is greater than that for 2020, mainly because many energy supply and energy-intensive technologies have long lifetimes and more of the current key facilities will be extant in 2020 than in 2030. The emission reduction potentials in 2030 are 12.6, 22.0, and 26.6 GtCO₂eq. at costs below 20, 50, and 100 $/tCO₂eq., corresponding to +19, −2, and −7 %, respectively, relative to 2005. The emission reduction potential for 2030 is greater than that for 2020, mainly because many energy supply and energy-intensive technologies have long lifetimes and more of the current key facilities will be extant in 2020 than in 2030. The emission reduction potentials in 2030 are 12.6, 22.0, and 26.6 GtCO₂eq. at costs below 20, 50, and 100 /tCO₂eq., corresponding to +33, +8, and −3 %, respectively, relative to 2005. Global emission reduction potentials at a cost below 50 $/tCO₂eq. for nuclear power and carbon capture and storage are 2.3 and 2.2 GtCO₂eq., respectively, relative to baseline emissions in 2030. Longer-term perspectives on GHG emission reductions toward 2030 will yield more cost-effective reduction scenarios for 2020 as well.     

Energy consumption,emissions and economic growth in Bahrain

This study examines the Granger causality relationships between economic growth, energy consumption and emissions, from 1980 to 2007 in Bahrain, controlling for capital and urban population using Toda and Yamamoto’s approach. It was found that there is unilateral causality which runs from urban population, economic growth, capital and energy consumption to environment. Further, we found strong support for causality running from economic growth to energy consumption, emissions and capital. The existence of these linkages suggests that the government of Bahrain may pursue energy efficiency strategies and carbon emissions reduction policy in the long run without impeding economic growth. Additionally, the long run pursuit of high economic growth given sustained increases in energy efficiency may also reduce CO₂ emissions intensity per unit of her GDP.