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• A distribution dynamics approach is employed to examine the converge of TFEE across Chinese PAA level cities. • The findings show a clear convergence in TFEE. • Convergence comes more from efficiency drops in high TFEE cities than from efficiency gains in low TFEE cities. • The environmental protection polices in key cities improved energy efficiency. • Large-sized cities show better performance in energy efficiency than small- and medium-sized cities. Improving energy efficiency is considered the most direct route to reducing carbon emissions on a massive scale. To examine the long-run trend of China's energy efficiency, this paper employs a distribution dynamics approach to analyze the convergence of total-factor energy efficiency (TFEE) across 286 Chinese cities between 2002 and 2014. The result suggests the existence of convergence, which comes more from the efficiency declines in the high TFEE cities rather than the efficiency gains in the low TFEE cities. Despite the fact that a few cities have performed well in energy efficiency, the majority of cities have converged to a low-efficiency point. Further analyses show that the inefficiency was attributed to inefficient energy use in small- and medium-sized cities. Our analysis provides strong scientific support for China's ongoing energy conservation and environmental protection policies. [ABSTRACT FROM AUTHOR]

The rapid development of China's economy has driven the growth of energy consumption. However, the domination of the energy structure by fossil energy not only increases carbon emissions but is also an important source of fog and haze in China. This will cause global warming and increase people's lung diseases. To alleviate these problems, renewable energy (RE) development is crucial in reducing CO 2 emissions, promoting economic development, and reducing fog and haze in China. Industry accounts for the highest proportion of energy consumption, so an efficient adjustment of the industrial structure will greatly contribute to overall energy development, economic development, and environmental protection. By analyzing the sales output value of China's industrial subsectors, together with energy consumption and CO 2 emissions, this paper determines which industries should be encouraged and which industries should be restricted in China. Finally, RE strategies and industrial policies are proposed for Chinese government references. The contributions of the paper are three-fold: (1) propose a novel framework for the development of China in the aspects of energy, economy, and environmental policies; (2) provide valuable information for the Chinese government to enable it to understand which industries should be encouraged to improve its economic competitiveness; and (3) use hybrid methods (e.g., entropy method and weighted sum method) to rank the energy and CO 2 productivity, and the recommendations will provide strategic guidance for China's energy development. [Display omitted] ● China's Renewable Energy Strategy and Industrial Policy. ● Which industries should be encouraged or discouraged in China. ● Energy Productivity and CO 2 Productivity. [ABSTRACT FROM AUTHOR]

Using panel data of 11 provinces in the western region of China, the paper empirically analyzes the influence of public environmental participation on the effectiveness of pollution governance. Based on documents from provincial governments in Western China, the paper uses Nvivo software to extract keywords about local governments' attention to the environment and examines its mediating effect between public environmental participation and pollution governance. Furthermore, a classifiable analysis of government environmental attention is carried out, and the effect of local governments' attention to the environment on pollution governance is studied. The results show that public environmental participation promotes pollution governance by increasing the governments' attention to the environment. Additionally, local governments' environmental attention also has a promotive effect on pollution governance, and the increase in environmental decision-makers' attention to environmental pollution and energy consumption is conducive to the improvement of environmental quality, but the effect of environmental protection and collaborative attention on environmental quality improvement still needs to be explored further. • Local governments' attention to the environment is estimated. • Public environmental participation promotes pollution governance. • Local Governments' Environmental Attention plays mediating role. • Local Governments' Environmental Attention has a promotive effect on environmental quality. • The effect of collaborative attention on environmental quality improvement still needs to be explored further. [ABSTRACT FROM AUTHOR]

The promotion of modern industrialization has caused heavy environmental pollution. Environmental protection is a basic national policy of China. In 2011, China began to implement the "Twelfth Five-Year Plan for National Environmental Protection" (12th FYP_NEP). Using the survey data of small and medium-sized enterprises (SMEs) in Shandong Province of China, this paper empirically explores the impact of 12th FYP_NEP on the energy utilization and operating efficiencies of SMEs. It is found that the environmental policy "12th FYP_NEP" has a significant incentive effect on both efficiency performance of Chinese SMEs, and has a greater positive impact on operating efficiency. Our heterogeneity analysis showed the following results. The incentive effect is different in different industries and enterprises of different sizes. The policy "12th FYP_NEP" has a greater positive impact on the energy utilization efficiency of SMEs in China's first and second tier cities, but it has no significant impact on their operation efficiency. This shows that SMEs in first and second tier cities are more effective in coping with the national environmental policy reform strategy. It can be seen that the promulgation of China's environmental policies can significantly improve the energy utilization awareness of these SMEs. The incentive effect of the policy on the two efficiency performances of SMEs in cities with "heavy air pollution" is greater, indicating that the implementation effect of "12th FYP_NEP" on SMEs in such cities is better. The enlightenments are as follows: the current situation of Chinese SMEs is that the energy utilization efficiency is low, while the operating efficiency is high. Most enterprises attach great importance to their own operating profits and economic development, and the awareness of energy utilization needs to be greatly strengthened. "12th FYP_NEP" has obvious positive effect on the energy utilization and operating efficiencies of SMEs, but there are slight differences among different types of enterprises. It is suggested that governments can refine their own environmental regulation standards and implement different environmental regulations for different types of enterprises, so as to enhance the performance of domestic enterprises most effectively. • This paper used the China survey data on SMEs over the period 2010–2013. • It is found that the Chinese "12th FYP_NEP" has a significant incentive effect on efficiency performance of Chinese SMEs. • The incentive effect is different in different industries and enterprises of different sizes. • The policy makes for improving the energy efficiency of SMEs in first and second-tier cities and heavy-polluted cities. • Chinese SMEs should attach great importance to energy utilization rather than operating profits only. [ABSTRACT FROM AUTHOR]

Abstract: This paper analyzed the interactions among China’s economic growth and its energy consumption, air emissions and air environmental protection investment during 2000–2007. Conventional energy and emergy are applied to quantify energy consumption and emissions’ impact, respectively. The five indicators based on money, energy and emergy, including ratio of nonrenewable energy to renewable energy (RNR), energy use per unit GDP (EUPG), environmental cost per unit GDP (ECPG), impact of emissions per unit energy consumption (IEPEC), and environmental benefit per unit environmental protection investment (EBPEI), are presented to depict the relationships among economic growth and energy consumption and impact of air emissions and air environmental protection investment. The results show that energy consumption rapidly rises with China’s fast economic growth; however, energy efficiency and environmental loading intensity from energy consumption are reduced simultaneously but their improvements fall far behind economic growth rate. Impact of air emissions, mainly composed of impact of emissions on human health (especially dust), is slightly decreased. The performance of air environmental protection investment is obviously declined in the study period. Generally speaking, the conflict among economy, energy and air environment protection is slightly mitigated but still acute due to great dependence of China’s economy on fossil energy and inefficient environmental protection measures. Finally, this paper discusses the corresponding issues, and then puts forward some related suggestions. [Copyright &y& Elsevier]

Abstract: The sustainability of Chinese economy has attracted attentions from all over the world since China''s reform & opening up policy. This paper attempted to evaluate the relationships among Chinese economy, energy and its impact of emissions during 1991–2009 using several novel indicators based on emergy, energy and monetary units. The results show that NH3-N in wastewater has taken main responsibility for impact of emissions, the hidden environmental cost per unit economic output has been continuously reduced, education and R & D investment has cut pollutants generating intensity since 1997, and environmental protection investment has cut emission intensity since 1996. Generally speaking, the coordination degree of structure and scale of China''s economy has been improved to different degree from 1991 to 2009. However, the growth of education and R & D investment and environmental protection investment has not prevented impact of emissions from increase caused by economic aggregate growth, and the turning point has not appeared in this period. Finally, this paper discusses some related issues and puts forward the corresponding suggestions. [Copyright &y& Elsevier]

• China has implemented a huge CO 2 capture project, the 150,000 tons/year CO 2 capture and purification project of Shaanxi Guohua Jinjie Power Plant, which is the largest flue gas capture project in China. • The energy consumption level of regeneration reaches the leading level of flue gas CO 2 capture demonstration project. New energy-saving process of "interstage cooling + MVR heat pump + desorption heat energy recovery" is applied, and comprehensive regeneration energy consumption is less than 2.4GJ/tCO 2. • The final research results show that the project has technical feasibility and economic feasibility. The results show that the regeneration energy consumption per unit product is 2.32GJ/tCO 2 , and the loss of absorbent is less than or equal to 1.0 kg/tCO 2. There was little research and demonstration experience in large flue gas carbon projects in China. 150 kt/a flue gas CO 2 capture project in the Guohua Jinjie power plant, which is the largest-scale flue gas carbon capture project in China, effectively solved this technical bottleneck. The performance of the used compound amine absorbent, phase change absorbent, and the ionic liquid was described, and the compatibility of performance was considered in the project; new energy-saving processes integrated mechanical vapor recompression heat pump, interstage cooling, and split flow desorption. The plane layout of the project was put forward, and the utility consumption of the capture system was analyzed. The paper explained the health, safety, and environmental protection instructions, presented test category tables, and developed energy consumption and economic analyses. The results showed that the renewable energy consumption per unit product was 2.32 GJ/t CO 2 , the loss of absorbent was less than or equal to 1.0 kg/t CO 2 , and the total investment (excluding tax) of the project was 13.8398 million yuan. When the CO 2 sales price (excluding tax) was 203.43 Yuan/t, the yield was 0 %, and when the CO 2 sales price (excluding tax) was 260.949 Yuan/t, the yield was 8 %. The feasibility study research conclusions indicated that the project was technically and economically feasible. [ABSTRACT FROM AUTHOR]

As a kind of primary energy, the main utilization of coal is combustion. Coal combustion is the greatest atmospheric pollution source in China. In this paper, the authors analyze the evolution of the coal fired power plant/thermal power plant (CFP/TPP, denoted by CFP) in China from the past, when there were no measures taken against pollution, to the present, when the interest is aroused to provide depollution systems and installations. The results indicate that it is more efficient to introduce a desulfur installation rather than to introduce denox or decarbon systems for a CFP burning fuel with relatively high sulfur content. The plant is globally evaluated from the point of view of its energy ecological efficiency in this paper. Using the results of the analysis for the CFP, the authors similarly propose measures to improve the energy ecological efficiency of existing CFPs. To comply with the national norms regarding pollutant emissions for new units and those that are to be continued in use, particular measures should be taken to increase the ecological efficiency. [Copyright &y& Elsevier]

At present, many industrial parks promote the local economic growth, causing environmental pollution and waste of resources. Based on analyzing the 23 factors affecting industrial parks’ building energy efficiency and environmental protection by conducting a questionnaire survey and applying the principal component analysis (PCA) with SPSS 19.0 software as auxiliary tool, this paper identifies the 6 key influencing factors such as energy resources of the industrial park, energy recycling (waste heat) of the industrial park, renewable energy utilization of the industrial park, investment in the aspect of energy efficiency and environmental protection of industrial park, technology development and introduction in energy efficiency and environmental protection of industrial park. Some countermeasures and suggestions for promoting the industrial parks’ building energy efficiency and environmental protection are put forward, such as perfecting laws, incentive policies and implementation mechanisms of energy efficiency and environmental protection, and optimizing the parks’ energy structure and effectively utilizing resources. The research results are helpful to promote high-quality economic growth of Shenyang’s industrial parks. [ABSTRACT FROM AUTHOR]

At present, PM 2.5 is still one of the most serious air pollution issues in China. By empirically testing the actual inhibitory effect of China's total factor energy efficiency progress on PM 2.5 , this paper can provide a new evaluation index for energy conservation in China and help Chinese cities understand the beneficial environmental effect of total factor productivity (TFP) progress under the constraint of energy consumption to point out an effective path of energy conservation and emission reduction that is highly in line with China's current high-quality development strategy. Based on the panel data of 105 key environmental protection cities in China, this paper evaluates total factor energy efficiency with range directional model (RDM) and global Malmquist (GM) productivity index based on data envelopment analysis (DEA); it then uses spatial econometric models to test the impact of energy efficiency progress on PM 2.5 concentration. The efficiency evaluation results show that the total factor energy efficiency of 105 key environmental protection cities has increased by an average of 35.9% from 2004 to 2015, with an average annual progress rate of 2.2%. Compared with Eastern and Central China, the progress of energy efficiency in the western region during 2004–2015 is relatively lagged. The average energy efficiency progress rate of higher administrative hierarchy cities and super cities with more than 10 million permanent residents is much higher than that of other cities. The results of GM index decomposition show that technological progress is the main driving force of energy efficiency progress. The spatial econometric analysis results show that there is a significant positive spatial autocorrelation in the concentration of PM 2.5 in sample cities, and the energy efficiency progress can significantly inhibit the PM 2.5 pollution in local and adjacent cities. The influence of each explanatory variable on PM 2.5 concentration is mainly composed of the spatial spillover effect. Image 1 • DEA-based RDM and Global Malmquist index are used to evaluate energy efficiency. • The energy efficiency of 105 cities has increased by an average of 35.9% in 12 years. • Technological progress is the main driving force of energy efficiency progress. • Energy efficiency progress can significantly reduce PM2.5 concentration. • The impact of each factor on PM2.5 is mainly composed of spatial spillover effects. [ABSTRACT FROM AUTHOR]

• The battery charging and swapping station project has good environmental benefits, but poor economic benefits. • This paper compares three different power purchase models. • Direct power trading model can reduce the cost well and increase the NPV by 13,519,070.47 RMB. • This model can be used in the economic evaluation of battery charging and swapping station projects and other charging facilities. Battery charging and swapping station (BCSS) has great assistance for the development of Electric vehicles (EVs) and environmental protection, but its economic performance is poor. This paper aims to explore the feasibility of direct power trading in the charging and swapping market by comparing the economic benefits of BCSS under three different power purchase models. Firstly, this paper summarizes the differences between the three power purchase policies. Then, the environmental benefits of clean energy and coal power generation are compared. Finally, based on the cost-benefit theory, a pure electric bus BCSS in North China is taken as an example to analyze the benefits of the three power purchase models. The results show that compared with coal power generation, the use of clean energy has good environmental benefits. Compared with the other two models, the direct power trading model can significantly increase the project's NPV and IRR, which demonstrates that it can make up for the investment cost well. Some suggestions are put forward to improve the economic benefits of BCSS enterprises and promote the development of EVs. The research results can provide a reference for decision-makers and investors. [ABSTRACT FROM AUTHOR]

This paper makes an empirical analysis of the effect of producer services agglomeration on China's energy efficiency under environmental constraints (EEE) by using spatial Durbin model. The results show that at the national level, the urbanization agglomeration of producer services not only improves the local EEE significantly, but also has an obvious spatial spillover effect on the surrounding regions, while the localization agglomeration of producer services is only beneficial to the improvement of the local EEE. From the regional perspective, both the urbanization and localization agglomeration of producer services show significant promotion effect and spatial spillover effect on China's EEE in the east region, and the promotion effect of the urbanization agglomeration of producer services is greater, while the improvement of EEE in the central and west regions mainly depend on the MAR externality of producer services agglomeration, and its spatial spillover effects are not obvious. Moreover, the above empirical results exhibit strong robustness. Based on these empirical findings, this paper puts forward some specific suggestions for improving China's EEE so as to achieve the multi-win of economic growth, energy conservation and environmental protection. The study contributes to improving the environmental quality and speeding up the construction of Beautiful China. • Use spatial Durbin model to analyze the effect of producer services agglomeration on China's EEE. • Localization agglomeration of producer services is only beneficial to the local EEE. • Urbanization agglomeration not only improves China's local EEE, but also has an obvious spatial spillover effect. • Regional differences in the effect of urbanization and localization agglomeration of producer services on China's EEE. [ABSTRACT FROM AUTHOR]

Renewable energy is an important factor in achieving a low-carbon economic development path in China. This paper investigates the factors influencing renewable electricity consumption in China. Specifically, the factors that influence the share of renewable electricity in total electricity consumption in China is investigated using data from 1980 to 2011 and employing the Johansen cointegration technique and vector error correction model. The result of the analysis shows that there is a long run relationship between renewable electricity consumption and GDP per capita, trade openness, foreign direct investment, financial development and share of fossil fuel in energy consumption. Economic development and financial development promotes renewable electricity consumption while foreign direct investment, trade openness and the lobby of conventional energy sources undermine the share of renewables in total electricity consumption in China. While the effects of shocks to the other variables appear to die out over time, the “lobby effect” is persistent and explosive. The results also show that there is a uni-directional short run causality from financial development to renewable electricity consumption and from renewable electricity consumption to trade openness. The Chinese government should pursue policies that not only increase the amount of renewable electricity, but also increase the share of renewables in total electricity consumption. [ABSTRACT FROM AUTHOR]

Achieving the peak of carbon dioxide (CO 2) emissions requires a large amount of green and low-carbon investment. Whether the green finance system can efficiently support the capital need for achieving the CO 2 emissions target in the context of the COVID-19 epidemic is a matter of concern. This paper constructs a system dynamics model (SD model) to illustrate the quantitative relationship between the green finance system and CO 2 emissions and introduce the COVID-19 epidemic as a variable to analyze ten simulation scenarios regarding the carbon emissions commitment realization under different green finance and economic growth status. It is shown that: (1) Regardless of the impact of COVID-19, China can meet its commitment by reaching its CO 2 emissions peak in 2030 and realizing a 20% non-fossil energy proportion in 2025; (2) Under the impact of the epidemic, the goal can not be obtained in all energy consumption scenarios when the government expenditure on the environment is low. The target year of reaching CO 2 emissions peak becomes 2033, 2037, and 2040. The results indicate that reducing government expenditure on environment protection makes the CO 2 emissions peak target less likely to be achieved within a given time frame. We also concluded with important policy implications according to the result of the simulations. Overall, this study makes a reference for other economies and researchers to quantitatively predict the interaction relationship between the green finance system and CO 2 emissions in the context of COVID-19, which provides policymakers with insights into a joint power of energy consumption upgrading and green capital guidance. • Providing empirical studies regarding the mechanism of the inhibitory effect of green finance on CO 2 emissions. • Using systems dynamics model to address the missing data problem. • Making solid suggestions under COVID-19 Epidemic. • Building the relationship between the green finance system and CO 2 emissions and making forecasts for "3060" mission result. [ABSTRACT FROM AUTHOR]

In this study, the feasibility of constructing multi-energy complementary systems in rural areas of China is examined. First, the rural energy structure and energy utilization in the eastern, central, and western regions of China are analyzed, and the development and utilization modes of multi-energy complementary systems in different regions are evaluated based on the differences in the resource endowment in different regions. Second, the input-output status of the multi-energy complementary mode in different regions is analyzed. Then, based on the assumption of technical feasibility, the feasibility of the multi-energy complementary system is analyzed in terms of various dimensions, such as economic, energy conservation, environmental protection, and social benefit. Finally, an empirical study is conducted by comparing the proposed multi-energy complementary system with traditional energy supply system. The results show that the development of a multi-energy complementary system in each region is feasible from the perspective of multiple dimensions to reduce environmental pollution, create employment opportunities, and improve the economy. Moreover, the system can significantly reduce the peak-valley difference and improve energy efficiency. • This paper analyzes the differences in energy structure in the different regions of China. • Construct a multi-energy complementary system in each region. • Demonstrate the feasibility of constructing a multi-energy complementary system. [ABSTRACT FROM AUTHOR]

whether political resource endowment affect regional low-carbon economic development has attracted the attention of many relevant stakeholders. Given that, by using remote sensing data such as nighttime light data and introducing the spatial econometric models, this paper selected 519 counties covering 69 prefecture-level cities in China's 14 provinces to explore the impact of political resource endowment on carbon productivity at the county level. The results showed that regional carbon productivity along the Long March areas was more 12% higher than that along non-Long March areas. Moreover, a series of robustness tests also verify that political resource endowment can effectively promote regional carbon productivity. Additionally, regional industrial structure is the most significant influencing factor in reducing carbon productivity. Our results also showed economic benefits generated from per unit carbon emissions in these counties along the Long March areas were obviously higher than those of counties along the non-Long March areas, indicating that counties along non-Long March areas should pay more attention to improving the balanced development of economic growth and environmental protection. Finally, for counties along the Long March areas and their surrounding regions, their carbon productivity spatially presents the typical spatial autocorrelation trend. Therefore, it is necessary to combine the transformation of industrial structure with the optimization of industrial spatial layout, and formulate the targeted improvement plan on carbon productivity for counties along the Long March areas to achieve coordinated low-carbon development. • The impact of political resource endowment on regional carbon productivity is explored; • Carbon productivity of counties along the Long March areas is higher than that of other counties; • Industrial structure hindered the growth of carbon productivity along the non-Long March areas; • Carbon productivity of counties benefitted from the endowment of political resources. [ABSTRACT FROM AUTHOR]

Abstract: China has become the primary energy consumer in the world, consuming 48.2% of the world''s coal in 2010. Of this percentage, 48.0% of China''s coal consumption is used by the power generation industry, which causes unavoidable environmental problems in the country. This paper presents complete life cycle modeling and a comparative assessment of current clean coal power generation technologies in China, including a state-of-the-art commercial ultra super-critical system. In this study, a life cycle assessment (LCA) is adopted for energy and environment analysis, followed by a brief economic discussion. Incorporating up-to-date data and country-specific situations, the present work covers all up-stream stages of the electricity life cycle before final consumption: coal mining, coal transportation, and coal power generation. The modeling results show that ultra super-critical systems (USC) have the highest life cycle energy efficiency due to the highest net generating efficiency and the lowest plant auxiliary power consumption among the cases examined. The global warming potential (GWP) scores show reverse dependencies of net generating efficiency. An integrated gasification combined cycle (IGCC) was demonstrated to be the cleanest technology and has the lowest scores in most of the life cycle impact categories, in particular in acidification potential (AP) and photo-oxidant formation potential (POCP). IGCC ranks as the highest in capital costs due to its complexity, while USC and super-critical systems are among the lowest in capital cost because of their commercialization in China. Evaluation of coal power generation combined with carbon capture and sequestration (CCS) shows that the CCS technologies can reduce the total life cycle CO2 emission from coal power plants substantially, although higher levels of CO2 are generated from the extra energy consumption by the CCS. [Copyright &y& Elsevier]

Abstract: The rapid growth of Chinese economy has tremend-ously stimulated the expansion of energy consumption. The structure of energy consumption in China is featured with the coal domination. Air pollution is becoming increasingly severe and causes enormous economic losses. As a result, we are confronted with the extremely arduous task to balance energy consumption and environmental protection. In order to avoid the situation that its rampant environmental pollution problem will worsen before it gets better, Chinese government has put high emphasis on the problem. The efforts made by Chinese government, including energy consumption structure improve-ment and control measures to air pollution, have been introduced and discussed in this paper. China possesses very abundant renewable energies such as wind, solar, geothermal and tidal. Applications of renewable energies, especially solar energy, can coordinate and improve the relationship between energy consumption and environmental protection. Therefore, Chinese government should make more efforts to set up priority of development for renewable energies. [Copyright &y& Elsevier]

Abstract: In recent years, with the implementation of national development of the West Regions, the energy and chemical industry base in Northern Shaanxi had significant progress. Meanwhile, environmental problems triggered by the excessive usage of resources, including the groundwater level descending, ground sinking, river drying up, severe pollution of waste residue,water and gas, have brought serious potential danger to the development of the base. This paper, based on thorough analysis to the investigation data about the environmental status and the existing problems of the base, elaborates on the root cause of the environmental issues in terms of policy, capital and society etc., and proposes strategies for environmental protection in Northern Shaanxi. © 2011 Published by Elsevier Ltd. Selection and peer-review under responsibility of RIUDS [Copyright &y& Elsevier]

PM 2.5 emissions has become a serious issue in China with enormous regional variation in economic development, resource endowment, and consumption patterns, which leads to great variations in regional PM 2.5 emissions and embodied PM 2.5 transfer among provinces. The spatial and temporal evolution pattern of PM 2.5 and its influencing factors are important issues in the study of air pollution emissions and control, which could help policy makers allocate emission responsibilities and reduction targets. Based on the perspective of final consumption, this paper uses a multiregional input-output model to estimate PM 2.5 emissions in 30 provinces in different years in China, applies a geographically weighted regression model to analyze different driving factors, and then analyzes the spatial heterogeneity of consumption-based PM 2.5 emissions. The results show that consumption-based PM 2.5 presents a significant reduction trend, although the separation of production and consumption areas of PM 2.5 emission is further intensified. The provinces with rich energy but relatively backward economies and manufacturing industries correspond to the primary net inflow of PM 2.5 , while the provinces with strong consumption ability and the most developed economies and industries present a net outflow of PM 2.5. Moreover, the slowdown of consumption growth and the improvement of consumption quality have a positive impact on PM 2.5 emission reductions. The optimization of industrial structure has a more significant impact on pollution control and haze reduction in the western region, while the improvement of energy utilization efficiency and rational use of construction land are more conducive to the reduction of consumption-based PM 2.5 emissions in the eastern region. From the perspective of temporal and spatial changes, significant spatial differences occur between regions. Energy consumption, environmental protection investment and construction land show the trend of " high value area diffusion and low value area reduction". • Explores the spatial distribution characteristics of PM 2.5 emissions in China from the perspective of consumption. • Consider and analyze the inter-annual variation of pollutant emission transfer. • Clarifies the spatial heterogeneity characteristics of influencing factors. • Emphasizes the importance of further optimizing influencing factors to reduce haze from the consumption end. [ABSTRACT FROM AUTHOR]