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.     

Exergy efficiency analysis of a refurbished dwelling: a case study in Ljubljana,Slovenia

Buildings contribute almost half of the world's carbon dioxide (CO₂) emissions. Energy and water consumption are some of the largest and fastest growing pressures on the global environment. The use of energy is mainly attributed to the heating and cooling of buildings. The type of materials used in the construction of buildings plays a significant role in the life-cycle emissions of each dwelling. Changing the material use in the construction of an existing building and adding insulation could have a major impact on energy use and the environment of the building in its entire life cycle. This paper investigates the amount of exergy savings and the decrease in CO₂ emissions resulting from the refurbishing of an existing building in Ljubljana. This study results from the growing awareness that in the choice of building materials, the designer must consider not only the requirements of the owner and occupier of the building, but also the resulting energy savings, the resource base and the effects of the manufacturing and processing of building materials on the environment. The exergy efficiency of the material use is calculated and the environmental impact assessment of energy and material use is accounted for.     

Proposing of new building scheme and composite towards global warming mitigation for Malaysia

The building sector has been regarded as a potential sector where there is large capacity to reduce the climate change effect. This study has proposed solutions to mitigate environmental impacts and achieve low CO₂ emission from residential sector. Therefore, full life cycle assessment (LCA) has been run to assess the CO₂ emission and its effect on the atmosphere and climate change. Based on the result, timber scheme is the best choice due to releasing less CO₂ emissions to the atmosphere. However, house builders in Malaysia have almost completely neglected timber as a building material, with timber use as building components reduced to 5%. In this study, LCA Software was used to assess CO₂ emissions from different wall construction. The alternative building scheme has been made by reinforce steel stud, wooden beam and timber wall (S8) to improve the scheme deficiency while releasing less CO₂ emissions compared to other schemes. Therefore, S8 has a decreased CO₂ effect by 85% less than precast concrete frame and 90% less than brick over their lifetime. (S8) increased the load bearing compared to conventional timber beam. Thus, new scheme S8 could be replaced by current scheme and promote more adjustable scheme for Malaysian housing.     

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.     

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.     

The win-win pathway of economic growth and CO2 emission reduction: a case study for China

ABSTRACT

Continuously reducing the CO₂ intensity of GDP is the core strategy for developing countries to realize the dual targets of economic growth and CO₂ emissions reduction. The measures are twofold: one is to strengthen energy saving and decrease energy intensity of GDP and the other is to promote energy structural decarbonization and reduce CO₂ intensity of energy consumption. In order to control global temperature rise no more than 2°C, the decrease in CO₂ intensity of GDP needs surpass 4% before 2030, but it could be merely about 2% based on the current trend. Therefore, all countries ought to speed up the low-carbon transition in energy and economy. As for China, keeping a continuous decline in CO₂ intensity of GDP of 4%–5% will ensure the realization of the NDC objectives, and also promotes the early peaking of CO₂ emissions before 2030. China will play a positive leading role in realizing a win-win low-carbon development coordinating sustainable development and climate change mitigation.     

Effective coordination and integration of energy and transport policies for CO2 mitigation in Thailand

Cross-cutting government policies that are designed to mitigate CO₂ emissions have caused an increased interdependence between government agencies. This leads to fragmentation in the public administration of climate change mitigation. The need for more coordination among government agencies involved in drafting and implementing energy and transportation policies is necessary to create collaborative strategies that can affect energy demand and reduce CO₂ emissions. The study aims to use Thailand as a case study to examine and discuss how effective coordination and integration of energy and transport policies and actions in the domain of GHG mitigation in Thailand can be successful. The authors applied a mixed-method information gathering approach combined with data from panel discussions. A thorough literature review guided the evidence, which was reinforced by the expert opinions of 35 industry professionals and governmental officers. Importance-performance analysis was applied as a policy assessment method. The study proposes applying a combination of several factors and conditions regarding institutional aspects of transport and energy sectors into a new greater strategies and actions toward CO₂ mitigation. In findings, a combination of instruments and autonomy of sectors is the greatest important and successful opportunity to enable effective coordination and integration of policies for CO₂ mitigation. Insightful discussions on integrated approach and recommendations would contribute to collaboratively administrative mechanism.     

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.     

Carbon‐neutral jet‐fuel re‐synthesised from sequestrated CO2

A chemical pathway combining reverse water gas shift, Fischer‐Tropsch synthesis and hydro‐cracking was considered to re‐synthesise jet fuel from CO₂ captured at high purity by oxy‐fuelling of a typical coal‐fired power station (Drax, UK). The oxygen for oxy‐fuelling and hydrogen for the fuel re‐synthesis process are sourced by electrolysis of water. According to material and energy balances , 3.1 MT/year of jet fuel and 1.6 MT/year each of gas oil and naphtha can be produced from the Drax annual emissions of 20 MT of CO₂, sufficient to supply 23% of the UK jet fuel requirements. The overall re‐synthesis requires 16.9 GW, to be sourced renewably from (offshore) wind power, and releases 4.4 GW of exothermic energy giving scope for improvements via process integration. The energy re‐synthesis penalty was 82% ideally and 95% on a practical basis. With the cost of offshore wind power predicted to reduce to 2.0 p/kWh by 2020, this ‘re‐syn’ jet fuel would be competitive with conventional jet fuel, especially if carbon taxes apply. The re‐use of CO₂ sequestrated from coal power stations to form jet‐fuel would halve the combined CO₂ emissions from the coal power and aviation sectors.     

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.     

Tourism and CO<Subscript>2</Subscript> emissions nexus in Southeast Asia: new evidence from panel estimation

The past decade has seen the rapid development of the tourist industry in Southeast Asia. There is increasing concern that tourism is highly affecting CO₂ emissions, but the nature of the relationship is still unclear. The main target of this paper is to investigate the existence of a linear and/or nonlinear relationship between tourism and CO₂ emissions in the five most important countries located in Southeast Asia, using the panel cointegration and pooled mean group techniques. The results indicate that tourism and CO₂ emissions are cointegrated, implying that tourism affects CO₂ emissions in the long run. Our findings support the nonlinear relationship between tourism and emissions as well as economic activities and CO₂ emissions. Accordingly, an inverted U-shaped relationship exists between tourism and emissions confirming the existence of an Environmental Kuznets Curve in the Southeast Asian tourism industry. Furthermore, the empirical results show that economic activities and energy consumption greatly increase emissions.     

Energy Use and CO2 Production in Tropical Agriculture and Means and Strategies for Reduction or Mitigation

Carbon dioxide emissions due to fossil fuel consumption are well recognized as a major contributor to climate change. In the debate on dealing with this threat, expectations are high that agriculture based economies of the developing world can help alleviate this problem. But, the contribution of agricultural operations to these emissions is fairly small. It is the clearing of native ecosystems for agricultural use in the tropics that is the largest non-fossil fuel source of CO₂ input to the atmosphere. Our calculation show that the use of fossil energy and the concomitant emission of CO₂ in the agricultural operational sector - i.e. the use of farm machinery, irrigation, fertilization and chemical pesticides - amounts to merely 3.9% of the commercial energy use in that part of the world. Of this, 70% is associated with the production and use of chemical fertilizers. In the absence of fertilizer use, the developing world would have converted even more land for cultivation, most of which is completely unsuitable for cultivation. Current expectations are that reforestation in these countries can sequester large quantities of carbon in order to mitigate excessive emissions elsewhere. But, any program that aims to set aside land for the purpose of sequestering carbon must do so without threatening food security in the region. The sole option to liberate the necessary land for carbon sequestration would be the intensification of agricultural production on some of the better lands by increased fertilizer inputs. As our calculations show, the sequestration of carbon far outweighs the emissions that are associated with the production of the extra fertilizer needed. Increasing the fertilizer use in the developing world (without China) by 20%, we calculated an overall net benefit in the carbon budget of between 80 and 206 Mt yr^?1 dependent on the carbon sequestration rate assumed for the regrowing forest. In those regions, where current fertilizer use is low, the relative benefits are the highest as responding yield increases are highest and thus more land can be set aside without harming food security. In Sub-Saharan Africa a 20% fertilizer increase, which amounts to 0.14 Mt of extra fertilizer, can tie up somewhere between 8 and 19 Mt of CO₂ per year (average: 96 t CO₂ per 1 t fertilizer). In the Near East and North Africa with a 20%-increased fertilizer use of 0.4 Mt yr^-1 between 10 and 24 Mt of CO₂ could be sequestered on the land set aside (40 t CO₂ per 1 t fertilizer). In South Asia this is 22–61 Mt CO₂ yr?1 with an annual additional input of 2.15 Mt fertilizer (19 t CO₂ per 1 t fertilizer). In fact, carbon credits may be the only way for some of the farmers in these regions to afford the costly inputs. Additionally, in regions with already relatively high fertilizer inputs such as in South Asia, an efficient use of the extra fertilizer must be warranted. Nevertheless, the net CO₂ benefit through implementation of this measure in the developing world is insignificant compared to the worldwide CO₂ output by human activity. Thus, reforestation is only one mitigating measure and not the solution to unconstrained fossil fuel CO₂ emissions. Carbon emissions should, therefore, first of all be reduced by the avoidance of deforestation in the developing world and moreover by higher energy efficiency and the use of alternative energy sources.     

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.     

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.     

Farm-level assessment of CO2 and N2O emissions in Lower Saxony and comparison of implementation potentials for mitigation measures in Germany and England

Greenhouse gases (GHG) emissions from agricultural farming practice contribute significantly to European GHG inventories. For example, CO₂ is emitted when grassland is converted to cropland or when peatlands are drained and cultivated. N₂O emissions result from fertilization. Enabling farmers to reduce their GHG emissions requires sufficient information about its pressure–impact relations as well as incentives, such as regulations and funding, that support climate-friendly agricultural management. This paper discusses potentials to improve the supply of information on: farm-specific climate services or impacts, present policy incentives in Germany and England that support climate-friendly farm management and related adaptation requirements. Tools which have been developed for a farm environmental management software (to be added after review because of potential identification) are presented. These tools assess CO₂ emissions from grassland conversion to cropland and peatland cultivation, as well as N₂O emissions from nitrogen fertilization. As input data, the CO₂ tool requires a classification of soil types according to soil organic carbon storage. The input data based on soil profile samples was compared with reference data from the literature. The N₂O tool relies on farm data concerning fertilization. These tools were tested on three farms in order to determine their viability with respect to the availability of required data and the differentiation of results, which determines how well site-specific conservation measures can be identified. Assessing CO₂ retention function of grassland conservation to cropland on the test farms leads to spatially differentiated results (~100 to ~900 potentially mitigated t CO₂ ha^?1). Assessed N₂O emissions varied from 0.41 to 1.1 t CO₂eq. ha^?1 a^?1. The proposed methods support policies that promote a more differentiated funding of climate conservation measures. Conservation measures and areas can be selected so that they will have the greatest mitigation effects. However, even though present policy instruments in Germany and England, such as Cross Compliance and agri-environmental measures, have the potential to reduce agricultural GHG, they do not appear to guide measures effectively or site-specifically. In order to close this gap, agri-environmental measures with the potential to support climate protection should be spatially optimized. Additionally, the wetland restoration measures which are most effective in reducing GHG emissions should be included in funding schemes.     

Income inequality and CO2 emissions: nonlinear evidence from Turkey

The income inequality-economy link has been argued by researchers a long time. But the impact of income inequality on environmental pollution is a new investigation topic for developing countries. Turkey is well known as an emerging economy which has a high level of income inequality and CO₂ emissions. Therefore, this paper concentrates on the income inequality-CO₂ emissions link in Turkish economy by applying a nonlinear analysis. This paper integrates economic growth and financial development to the CO₂ emissions specification over the period of 1987–2019. We employ the nonlinear autoregressive distributed lag approach to explore the long-run nonlinear linkages between the series. Our findings reveal an asymmetric cointegration among variables. Positive and negative income inequality shocks positively affect CO₂ emissions implying that positive and negative shocks of income inequality enhance CO₂ emissions in the long run. Negative economic growth shocks decrease CO₂ emissions, while positive shocks to financial development increase CO₂ emissions in the long run. We provide important policy suggestions that might be useful to the policymakers to decrease CO₂ emissions in Turkey.

     

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.     

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.     

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.