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The effects of the China–Russia gas deal on energy consumption, carbon emission, and particulate matter pollution in China

Abstract

After more than two decades of negotiation, the China–Russia gas deal represents a new era of energy cooperation between China and Russia. In total, this is a win–win deal for both sides. For China, the deal will decrease energy consumption and carbon emission but will not significantly influence air quality; for Russia, it will provide a new market for its gas resources. In this study, we calculated the energy consumption, carbon emission, and particulate matter pollution (PM2.5 and PM10) in China in 2020, 2030, 2040, and 2050 under four IPCC representative concentration pathways (RCPs 8.5, 6.0, 4.5, and 2.6). We found that energy consumption and carbon emission decreased under the gas deal in RCPs 8.5, 6.0, and 4.5, although the rate of decrease slowed over time; however, in RCP 2.6, the rate of decrease of energy consumption and emission increased over time. PM2.5 and PM10 emission showed similar trends but with increasing rate, although the gas deal would mitigate air pollution in the short term. Although China’s government hopes to reduce carbon and pollutant emission under the deal, our results suggest that additional mitigation measures will be necessary to achieve this goal. Nonetheless, the reduction in carbon emission suggests that the China–Russia gas deal provides a model that other countries can follow to slow climate change.

Introduction

On 21 May 2014, Russian energy giant Gazprom and the China National Petroleum Corporation signed a historic gas supply agreement in the presence of President Vladimir Putin of Russia and President Xi Jinping of China.1 By 2020, Russia intends to export 38 × 109 m3 of gas annually to China from untapped fields in East Siberia, with an economic value of US$400 × 109; the deal is intended to last for 30 years.2 This agreement has many implications for both sides. Russia is aiming to diversify its export destinations in Asia to decrease its dependence on European markets, particularly after the imposition of sanctions in response to Russia’s involvement in the Ukraine crisis.2 At the same time, China is eager to improve its energy structure to incorporate more clean fuels and reduce greenhouse gas emission, since natural gas produces lower emission than coal or petroleum.3 The increasing role of gas in China’s energy structure is supposed to contribute to mitigating global climate change. This agreement is also supposed to be a good example of the importance of cross-boundary energy treaties for mitigating climate change.4

The Intergovernmental Panel on Climate Change (IPCC) defines adaptation as “adjustment in natural or human systems to a new or changing environment”.5 In contrast, IPCC defines mitigation as “technological change and substitution that reduce resource inputs and emission per unit of output with respect to climate change”.5 It should be understood if the China–Russia gas deal can be estimated as an adaptation or mitigation measure to climate change in the future and if this agreement is a good example of cross-boundary treaties for mitigating climate change.

The Chinese economy has developed rapidly in the last three decades, and became the second-largest economy in the world in 2010, overtaking Japan’s position. In 2007, China became the world’s largest emitter of greenhouse gases.6 This occurred both because China’s rapid economic development dramatically increased energy consumption and because China depends heavily on coal consumption to supply this energy. Unfortunately, coal combustion emits large amounts of CO2. Per unit of heat energy generated, coal combustion emits almost twice as much CO2 as the combustion of natural gas.7 In 2014, coal consumption accounted for 69.8% of China’s total energy consumption (around 4 × 109 tce (standard tons of coal equivalent; NBS, 1996–2015).8 China is the world’s leading coal producer and consumer, accounting for 50% of the global coal consumption in 2015.9 More than 400 × 106 people in China use coal to meet their daily domestic energy needs, such as energy for heating and cooking.10 Many researchers have predicted that China’s coal-based, relatively cheap energy structure last for the foreseeable future.11,12,13 However, the China–Russia gas deal offers the potential to make China’s energy structure cleaner while also decreasing greenhouse gas emission, but in practice, it is not yet clear how the gas deal will affect energy consumption and greenhouse gas emission. Dong et al.4 estimated that it would take up 16–26% of natural gas imports and reduce million tons of coal usage by 50 Mt annually, thereby reducing CO2 emission by 46 Mt per year, which is comparable to the 2020 CO2 reduction target of many developed countries.

However, CO2 emission is not the only problem created by coal: before mining, during mining, during storage, during combustion, and after combustion, coal generates many different kinds of pollutants, including inhalable particulate matter, organic compounds, and SO2, NOx, CO2, and other harmful gases. Coal production and use therefore cause many environmental problems. Toxins contained in coal exacerbate these problems. Coal contains significant amounts of arsenic, fluorine, selenium, and sometimes mercury, all of which adversely affect human health.14 When the China–Russia gas deal is implemented, it will reduce SO2 emission by 1.1 Mt year−1, which is equal to 5.4% of China’s 2011 SO2 emission.4 This will also have a positive effect on air pollution.

China has among the highest particulate matter (PM) levels in the world.15 PM is mainly composed of organic carbon (OC), sulfate and crustal species in China.16 The NO3/SO2 ratios are 0.43 ± 0.26 in PM 2.5 and 0.56 ± 0.29 in PM10, and the OC/EC ratios are 3.63 ± 1.73 in PM 2.5 and 4.17 ± 2.09 in PM10, representing that the stationary emissions from coal combustion remain the main PM source.16 In Beijing, the combustion of coal contributed 15–20% to fine particulates, remaining the most important source of primary particulate matters.17 According to the 2010 Global Burden of Disease study, particulate matter pollution was the fourth leading risk factor for a reduction in disability-adjusted life-years (DALYs), after next to diet risk, high blood pressure, and smoking, resulting in an annual cost of 25.2 × 106 DALYs; air pollution is included in the top-ten risks in the world and is ranked fifth or sixth in Asia.18 Since 2000, particles with a diameter of less than 10 μm (PM10) had become the primary air pollutant in China, according to the Environmental Quality Report (http://jcs.mep.gov.cn/hjzl/zkgb/2000/200211/t20021125_83818.htm), and reducing their level has become an urgent task for national and local governments.19,20 PM10 has been monitored in nearly all Chinese county cities by MEP (Ministry of Environmental Protection), with around one third of these cities exceeding the 100 µg/m3.16,17 Compared to PM10, PM2.5 (annual mean concentrations of particulate matter smaller than 2.5 µm in diameter) is of more concern owing to its smaller size, longer atmospheric lifetime and greater health risks.21 Large variations in China in sources, energy structures, climatic conditions, and living habits across the nation make the PM2.5 distribution even more complicated.22 PM2.5 exceeded 80 µg/m3 in Eastern China;15 this is nearly three times the restrictive maximum (35 µg/m3) according to Chinese national ambient air quality standard (NAAQS).23 In 2013, 92% of Chinese cities failed to meet national ambient air-quality standards, and three major megalopolises (the Yangtze River Delta, Pearl River Delta, and Beijing–Tianjin–Hebei region) experienced more than 100 days with PM2.5 concentrations at least twice the World Health Organization maximum exposure guidelines.24 Both PM2.5 and PM10 can stay in the air for long periods, thereby increasing inhalation, with adverse effects such as increased risk of cardiovascular disease, and decreasing atmospheric visibility. Researchers estimate that increasing the PM10 concentration by 10 μg/m3 would increase mortality risk by 23–67%.25 Chen et al.26 calculated that a 10-µg/m3 increase in the 2-day moving-average PM10 would increase total mortality by 0.35%, cardiovascular mortality by 0.44% and respiratory mortality by 0.56%. Liu et al.27 estimated that PM 2.5 nationwide resulted in 1.37 million of premature mortalities in China, comparing to 0.69, 0.38, 0.13, and 0.17 million resulting from stroke, ischemic heart disease, lung cancer, and chronic obstructive pulmonary disease, respectively.

China’s government hopes that the China–Russia gas deal will improve the Chinese energy structure, mitigate environmental pollution, improve human well-being, and reduce economic losses.

China is the world’s largest emitter of greenhouse gases, and thus faces growing pressure to decrease its emission, both to protect its international image and to protect its citizens. China is now strengthening strategies to cut its emission, including limiting coal use by putting three year moratorium for new coal mines in 2016, gradually implementing carbon trading, limiting transportation emissions by building high-speed railways and providing incentives for buying electric and hybrid cars, making an aggressive program to make natural gas available for household use and large investments in technologies such as passive solar water heaters and renewable energy. In 2014, China pledged to cap its rapidly growing carbon emission by 2030, or earlier if possible.28 It also sets a daunting goal of increasing the share of non-fossil fuels to 20% of the country’s energy mix by 2030 when China struck a deal with the United States.28 At the 2015 UN Climate Change Conference in Paris, President Xi Jinping declared that in 2016, China would launch 10 low-carbon demonstration zones in developing countries, 100 climate change adaptation and mitigation projects, and 1000 cooperative projects for training in adaptation to climate change.

The China–Russia gas deal is one major effort by China to cut its carbon and particulate matter emission, and is supposed to be an example of how energy treaties could promote cooperation among other countries. Nevertheless, current estimates of environmental impact of China–Russia gas deal are practically absent, except of mentioned study of Dong et al.4

In the present study, we examined China’s historical energy structure, then predicted the impacts of the China–Russia gas deal (an increase of 8 × 109 m3 year−1 of gas consumption and decrease of coal consumption by 50 Mt year−1) in 2020, 2030, 2040, and 2050 (i.e., during the proposed 30-year life of the deal) under four IPCC Representative Concentration Pathway (RCP) scenarios (http://tntcat.iiasa.ac.at/RcpDb/dsd?Action=htmlpage&page=about) upon energy consumption, carbon emissions, and air quality.

Results

Energy consumption and carbon emission in China under RCPs with the gas deal

Based on historical data and the results of our regression analysis, the percentage of total energy accounted for by coal consumption should decline from 74.2% in 1980 to 48.3% in 2050, although coal will still be the dominant energy source (Fig. 1). In contrast, the percentage of energy accounted for by natural gas consumption would climb to 20% in 2050 without the gas deal. The percentage for petroleum fluctuated over time, but remained close to 19%. For renewable energy, the percentage will increase from 1.2% at the beginning of the study period to 13.6% by 2050.

Fig. 1
figure1

Historical and predicted structure of Chinese energy consumption without the China–Russia gas deal (1980–2014; 2020, 2030, 2040, 2050)

Predicted future Chinese energy consumption with the gas deal will always be 0.03 × 109 tce less than that without the gas deal in all RCP scenarios. This is because we assumed the same increase in gas consumption (8 × 109 m3 year−1) and the same reduction of coal consumption (50 Mt year−1) in each scenario.

Figure 2 shows that in RCPs 8.5, 6.0, and 4.5, energy consumption with the gas deal will continue to decrease over time, but at a progressively slower rate. In contrast, energy consumption in RCP 2.6 will decrease at an accelerating rate; this is because RCP 2.6 assumes that radiative forcing would peak at 3.1 W/m2 by 2050, then decrease to 2.6 W/m2 by 2100.29 When energy consumption decreases under the RCPs with the gas deal, this also means that carbon emission related to energy consumption would decrease. Predicted future Chinese carbon emission with the gas deal will always be 0.02 PgC less than that without the gas deal in all RCP scenarios. Figure 3 shows that carbon emission continued to decrease under RCPs 8.5, 6.0, and 4.5, but that the rate of decrease will slow over time, whereas under RCP 2.6, the decrease will accelerate over time.

Fig. 2
figure2

Rates of change of energy consumption in China (positive numbers represent an increase) under the four RCPs with the gas deal

Fig. 3
figure3

Rate of change in carbon emission in China (positive values represent an increase) under the four RCPs with the gas deal

Relationship between energy consumption and particulate matter pollution from 2006 to 2015

We obtained statistically significant log-linear regressions for the relationships between the two particulate matter categories (for PM2.5, R2 = 0.78 and p < 0.01; for PM10, R2 = 0.60 and p < 0.05) and energy consumption:

$${\mathrm{lnPM}}_{2.5\,t} = {{23}}{{.14818}}-{{1}}{{.274523}}\,{\mathrm{ln}}E_t$$
(1)
$${\mathrm{lnPM}}_{10,t} = {{17}}{{.47281}}-{{0}}{{.826158}}\,{\mathrm{ln}}E_t$$
(2)

Both PM2.5 and PM10 decreased with increasing energy consumption from 2006 to 2014. This suggests that the government’s promotion of clean energy has begun to produce positive results. As clean energy technology matures and its cost decreases, particulate matter pollution should continue to decrease.

PM2.5 responded more strongly than PM10. This is because most of PM2.5 results from fuel combustion and the production of secondary particles, whereas PM10 has a strong contribution from road dust.30

Comparison of PM2.5 and PM10 in China with and without the gas deal

As Fig. 4a represents, the emissions of PM2.5 under RCPs 8.5, 6.0, and 4.5 with the gas deal are more than those under RCPs without the gas in the future, but with the time their differences get less. So, the difference decreased from an average of 9.13 Gg in 2020 to an average of 2.42 Gg in 2050 for three RCPs 8.5, 6.0, and 4.5. This contrasts to RCP 2.6, where the difference increases by time. Figure 4b shows that under RCPs 8.5, 6.0, and 4.5, percentage difference “gas deal/no gas deal” for PM2.5 emissions would decrease to 0.48, 0.59, and 0.65%, respectively, by 2050. However, the percentage difference for PM2.5 emission would continue to rise under RCP 2.6, increasing from 1.0% in 2020 to 2.8% in 2050.

Fig. 4
figure4

a Difference of PM2.5 between the situations with and without the gas deal (negative values represent a decrease compared to the scenario without a deal) and b change of PM2.5 in China under the four RCPs (positive values represent an increase compared to the scenariowith no deal)

Future PM10 emission would increase more with the gas deal than without the deal, similarly to PM2.5 emission (Fig. 5a, b). Figure 5b shows that the temporal dynamics format of increase of PM10 is similar to that for PM2.5 (it will decrease over time in RCPs 8.5, 6.0, and 4.5, but increase in RCP 2.6). However, the rates of increase are all lower than those for PM2.5 emissions. This means that the predicted change of the energy consumption structure will have a greater effect on PM2.5 emission, which is reflected in the coefficients of Eqs. (1) and (2).

Fig. 5
figure5

a Difference of PM10 between the situations with and without the gas deal (negative values represent a decrease compared to the scenario without a deal) and b change of PM10 in China under the four RCPs

Discussion

Because natural gas is a relatively clean energy, it has attracted increasing attention in the context of environmental protection issues and it will play a vital role in China’s future energy structure. With the new gas deal, China can improve its energy structure by reducing the dominance of coal, thereby reducing greenhouse gas emission. As our results demonstrate, the gas deal will decrease energy consumption under the four RCPs because the efficiency of energy production will improve, even though continuing socioeconomic development would increase the total energy consumption. This process will also decrease future carbon emission. CO2 is a major greenhouse gas and also has a relatively long lifespan. Thus, reducing carbon emission early will have a better payback than taking measures to increase carbon sinks (e.g., planting vegetation) or technological solutions such as carbon capture and sequestration. However, over time, the differences between the RCP scenarios with and without the gas deal will gradually decrease. For example, under RCP 8.5, the difference will be −0.02 PgC (a decrease due to the gas deal) in 2020, but by 2050, the difference will be only −0.01 PgC (i.e., a smaller decrease). The increasing demand for energy would offset the benefits of the gas deal, even though natural gas is a cleaner fuel. Under all of the RCPs except RCP 2.6, the effect of the China–Russia gas deal on energy consumption and carbon emission would gradually fade away.

According to Eqs. (1) and (2), increasing energy consumption will actually decrease emission of PM2.5 and PM10, as part of consumed energy will be directed to cleaning from particulate matter technologies. Thus with the gas deal, PM2.5 and PM10 emission will increase due to reduction of energy. This has an important implication: if China only takes measures to import more gas or make the domestic energy structure cleaner rather than adopting cleaner technology, then future PM2.5 and PM10 emission may remain serious. Despite this risk, the China–Russia gas deal can still improve environmental quality in the short term.

Under RCPs 8.5, 6.0, and 4.5, the carbon emission will show only small differences by 2050, suggesting that the gas deal alone cannot mitigate air pollution. This suggests that the China–Russia gas deal can be best described as an adaptation strategy. Therefore, for China, the gas deal does not eliminate the need to develop strong policies to mitigate climate change and encourage technology updates and innovations in the energy sector.

The cooperation between China and Russia will have implications for other countries. The agreement is a good example of the importance of cross-boundary energy treaties for adapting to climate change.4 Although adaptation measures may be limited to the region that includes China, such energy cooperation could be implemented elsewhere as an adaptation to climate change and profitable deal. For example, in 2014, China’s National Offshore Oil Corporation signed a 20-year deal with BP to supply liquefied natural gas to China, in a deal worth around US$20 × 109.4 From this perspective, energy cooperation clearly has high market value in addition to its benefits for the environment and human health.

There are several limitations of the present study. In this paper, we only calculated the effects of the gas deal on China, although given China’s high and growing consumption of energy, there will also be clear benefits for the rest of the world. Second, we did not examine the costs of this deal for Russia (in terms of infrastructure construction, energy consumption, and pollution emission), so we cannot say whether these costs will outweigh the benefits for Russia and China together. While increasing energy consumption now leads to reduction of particulate matter according to our study, projected future reduction of energy consumption leads to increase of PM2.5 and PM10 emissions. However, substitution of coal by gas will also lead to decrease in particulate matter due to difference in chemical and physical characteristics of coal and gas. Decrease of particulate matter emissions, related to difference of chemical and physical characteristics of the fuels, and effects of changes in particulate matter emissions of the China–Russia gas deal to human health will be subject of following up study.

Methods

Historical energy structure in form of proportions of energy production from four fuel types (coal, petroleum, natural gas, and renewable energy) from 2005 to 2014 was used to predict by linear regression future percentages of China’s energy (see Supplementary Methods: predicted future proportions of coal, petroleum, natural gas, and renewable energy). China’s carbon emission under the four RCPs were calculated from Asia’s total carbon emission (see Fig. 6), extracted from the RCPs database (see Supplementary Methods: Carbon emission in China under the four RCPs). China’s carbon emission from the RCPs was used recalculate future energy production by fuel types for decades from 2020 till 2050 using predicted China’s energy percentages and conversion emission coefficients in situation “no gas deal”. Afterwards actual mass values of fuels were calculated for future energy production by RCPs. The future mass values for gas and coal were modified according to China–Russia gas deal plan. Energy production by RCPs in situation “gas deal” was calculated and compared with the situation “no gas deal” (see Supplementary Methods: Comparison of energy consumption in China under the RCPs with and without the gas deal). Carbon emissions in situation “no gas deal” and “gas deal” were calculated using conversion emission coefficients and compared (see Supplementary Methods: Comparison of carbon emission under the RCPs with and without the gas deal). To predict effect of the gas deal to China’s air quality, we modeled the relationship between national energy consumption and PM2.5 and PM10 emissions using data from 2006 to 2015 (see Supplementary Methods: The linkage between energy consumption and PM2.5 and PM10 emissions in China). This log-linear regression model was used to predict the changed energy structure’s effect on particulate matter pollution until 2050 (see Supplementary Methods: Comparison of PM2.5 and PM10 emissions under the RCPs with and without the gas deal).

Fig. 6
figure6

Asian CO2 emission from 2000 to 2050 under the fourselected RCPs (Data extracted from the RCP database)

Data availability

The authors declare that [the/all other] data supporting the findings of this study are available within the paper [and its supplementary information files].

References

  1. 1.

    Druzhinin, A. Putin Praises Gazprom, CNPC deal on Russian gas for China http://tass.com/economy/732480 (2014).

  2. 2.

    Koch-Weser, I., & Murray, C. The China-Russia Gas Deal: Background and Implications for the Broader Relationship. U.S.-China Economic and Security Review Commission (2014).

  3. 3.

    Leveraging Natural Gas to Reduce Greenhouse Gas Emissions (Center for Climate and Energy Solutions https://www.c2es.org/document/leveraging-natural-gas-to-reduce-greenhouse-gas-emissions/ (2013).

  4. 4.

    Dong, W. et al. China–Russia gas deal for a cleaner China. Nat. Clim. Change 4, 940–942 (2014).

    Article  Google Scholar 

  5. 5.

    Bhagwati, J. N. Summary for Policymakers of the Synthesis Report of the IPCC Fourth Assessment Report. IPCC Secretariat (2012).

  6. 6.

    Vidal, J. & Adam, D. China Overtakes US as World’s Biggest CO 2 Emitter; https://www.theguardian.com/environment/2007/jun/19/china.usnews (2007).

  7. 7.

    Energy Information Administration. Emissions of Greenhouse Gases in the United States 1985–1990, DOE/EIA-0573. (Department of Energy, Washington, DC, 1993).

    Google Scholar 

  8. 8.

    National Bureau of Statistics of the People’s Republic of China (NBS). China Energy Statistical Yearbook. China Statistics Press (1996–2015) (in Chinese).

  9. 9.

    BP Statistical Review of World Energy 2016. BP (2016); bp.com/statisticalreview.

  10. 10.

    Liu, G. J. et al. Health effects of arsenic, fluorine, and selenium from indoor burning of Chinese coal. Rev. Environ. Contam. Toxicol. 189, 89–106 (2007).

    Google Scholar 

  11. 11.

    Bin, N. New progress in high-precision and high-resolution seismic exploration technique in coal industry of China. Acta Geol. Sin. 74, 311–315 (2000).

    Article  Google Scholar 

  12. 12.

    Xu, X. et al. Development of coal combustion pollution control for SO2, and NOx, in China. Fuel Process. Technol. 62, 153–160 (2000).

    Article  Google Scholar 

  13. 13.

    Tang, Z. & Wang, Y. Efficient and environment friendly use of coal. Fuel Process. Technol. 62, 137–141 (2000).

    Article  Google Scholar 

  14. 14.

    Finkelman, R. B. et al. Health impacts of coal and coal use: possible solutions. Intern. J. Coal Geol. 50, 425–443 (2002).

    Article  Google Scholar 

  15. 15.

    Van Donkelaar, A. et al. Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth: development and application. Environ. Health Perspect. 118, 847–855 (2010).

    Article  Google Scholar 

  16. 16.

    Zhou, X. et al. Concentrations, correlations and chemical species of PM2.5/PM10 based on published data in China: potential implications for the revised particulate standard. Chemosphere 144, 518–526 (2016).

    Article  Google Scholar 

  17. 17.

    Yao, Q., Li, S. Q., Xu, H. W., Zhuo, J. K. & Song, Q. Studies on formation and control of combustion particulate matter in China: a review. Energy 34, 1296–1309 (2009).

    Article  Google Scholar 

  18. 18.

    Yang, G. et al. Rapid health transition in China, 1990–2010: findings from the Global Burden of Disease Study 2010. Lancet 381, 1987–2015 (2013).

    Article  Google Scholar 

  19. 19.

    Hao, J. & Wang, L. Improving urban air quality in China: Beijing case study. J. Air Waste Manage. Assoc. 55, 1298–1305 (2005).

    Article  Google Scholar 

  20. 20.

    Chan, C. K. & Yao, X. Air pollution in mega cities in China. Atmos. Environ. 42, 1–42 (2008).

    Article  Google Scholar 

  21. 21.

    Oberdörster, G., Oberdörster, E. & Oberdörster, J. Nanotoxicology: an emerging discipline evolving from studies of ultrafine particles. Environ. Health Perspect. 113, 823–839 (2005).

    Article  Google Scholar 

  22. 22.

    Feng, J. et al. A comparative study of the organic matter in PM2.5 from three Chinese megacities in three different climatic zones. Atmos. Environ. 40, 3983–3994 (2006).

    Article  Google Scholar 

  23. 23.

    China's Ministry of Environmental Protection. Ambient Air quality Standards (GB3095-2012). China Environmental Science Press (2012).

  24. 24.

    Dangerous Breathing: PM 2.5 , Measuring the Human Health and Economic Impacts on China’s Largest Cities (Greenpeace, 2013); http://www.greenpeace.org/eastasia/publications/reports/climate-energy/2012/air-pollution-health-economic/.

  25. 25.

    Lu, F. et al. Systematic review and meta-analysis of the adverse health effects of ambient PM2.5 and PM10 pollution in the Chinese population. Environ. Res. 136, 196–204 (2015).

    Article  Google Scholar 

  26. 26.

    Chen, R. et al. Association of particulate air pollution with daily mortality: the China air pollution and health effects study. Am. J. Epidemiol. 175, 1173–1181 (2012).

    Article  Google Scholar 

  27. 27.

    Liu, J., Han, Y., Tang, X., Zhu, J. & Zhu, T. Estimating adult mortality attributable to PM2.5 exposure in China with assimilated PM2.5 concentrations based on a ground monitoring network. Sci. Total Environ. 568, 1253–1262 (2016).

    Article  Google Scholar 

  28. 28.

    Nakamura, D. & Mufson, S. China, U.S. agree to limit greenhouse gases https://www.washingtonpost.com/business/economy/china-us-agree-to-limit-greenhouse-gases/2014/11/11/9c768504-69e6-11e4-9fb4-a622dae742a2_story.html?utm_term=.c051732d7537 (2014).

  29. 29.

    Change, I. P. O. C. Towards new scenarios for analysis of emissions, climate change, impacts, and response strategies. Environ. Policy Collect. 5, 399–406 (2008).

    Google Scholar 

  30. 30.

    Janssen, N. A. H., Van Mansom, D. F. M., Van Der Jagt, K., Harssema, H. & Hoek, G. Mass concentration and elemental composition of airbornse particulate matter at street and background locations. Atmos. Environ. 31, 1185–1193 (1997).

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by the National Key Technology R & D Program (No. 2016YFC0501002) and the National Natural Science Foundation of China (31570475). We thank Geoffrey Hart of Montréal, Canada, for his help in writing this paper. We are also grateful for the comments and criticisms of an early version of this manuscript by our colleagues and by the journal’s reviewers. We thanks Qiang Zhang for providing particulate matter pollution data.

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S.V. suggested the story line and using of RCPs to estimate China–Russia gas deal and developed a methodology of calculations. C.L. made calculations and refined methodology. C.L., S.V., and S.C. are equally contributed in writing of the paper.

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Correspondence to Sergey Venevsky or Shixiong Cao.

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Lu, C., Venevsky, S. & Cao, S. The effects of the China–Russia gas deal on energy consumption, carbon emission, and particulate matter pollution in China. npj Clim Atmos Sci 1, 8 (2018). https://doi.org/10.1038/s41612-018-0018-8

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