of 6
National carbon emissions from the industry process: Production
of glass, soda ash, ammonia, calcium carbide and alumina
Zhu Liu
Resnick Sustainability Institute, California Institute of Technology, Pasadena, CA 91125, USA
John F. Kennedy School of Government, Harvard University, Cambridge, MA 02138, USA
article info
Article history:
Received 10 February 2015
Received in revised form 2 November 2015
Accepted 4 November 2015
Available online 11 December 2015
Keywords:
China
CO
2
Industrial process
Climate policy
abstract
China has become the world’s largest carbon emitter. Its total carbon emission output from fossil fuel
combustion and cement production was approximately 10 Gt CO
2
in 2013. However, less is known about
carbon emissions from the production of industrial materials, such as mineral products (e.g., lime, soda
ash, asphalt roofing), chemical products (e.g., ammonia, nitric acid) and metal products (e.g., iron, steel
and aluminum). Carbon emissions from the production processes of these industrial products (in addition
to cement production) are also less frequently reported by current international carbon emission data-
sets. Here we estimated the carbon emissions resulting from the manufacturing of 5 major industrial
products in China, given China’s dominant position in industrial production in the world. Based on an
investigation of China’s specific production processes, we devised a methodology for calculating emission
factors. The results indicate that China’s total carbon emission from the production of alumina, plate
glass, soda ash, ammonia and calcium carbide was 233 million tons in 2013, equivalent to the total
CO
2
emissions of Spain in 2013. The cumulative emissions from the manufacturing of these 5 products
during the period 1990–2013 was approximately 2.5 Gt CO
2
, more than the annual total CO
2
emissions
of India. Thus, quantifying the emissions from industrial processes is critical for understanding the global
carbon budget and developing a suitable climate policy.
Ó
2015 The Author. Published by Elsevier Ltd. This is an open access article under the CC BY license (
http://
creativecommons.org/licenses/by/4.0/
).
1. Introduction
Climate change is one of the greatest challenges facing human-
kind today
[1–3]
. Human-induced carbon emissions are the major
greenhouse gas emissions that drive anthropogenic climate change
[2,4]
. Carbon emissions can be generated by fossil fuel combustion,
industrial production processes, waste treatment and land use
change
[5]
. Fossil fuel combustion and cement production are the
most significant sources of human-induced carbon emissions that
have been reported by international datasets
[6–9]
. Cement pro-
duction in particular is the largest source of industrial production
emissions and has been widely reported. The amount of emissions
from fossil fuel combustion and cement production are also con-
sidered baseline amounts for planning mitigation actions and allo-
cating the mitigating responsibilities
[10,11]
. In addition to fossil
fuel combustion and cement production, the manufacturing of
mineral, chemical and metal products can generate carbon emis-
sions
[5]
, as chemical and physical transformations of materials
can release CO
2
. The IPCC lists several types of industrial products
(see
Table 1
) the chemical or physical production of which can
release carbon emissions. For example, global emissions from
cement production were approximately 2000 Mt CO
2
in 2013
[9]
.
A more comprehensive understanding of the emissions from
industrial processes is required (except for cement production,
which has been widely reported; the calculation of emissions from
the cement production process can be seen in our previous studies
[12]
). First, the sources of emissions from industrial processes can
be diverse. In addition to the different types of industrial products
that could produce CO
2
, the different stages of the industrial pro-
cess can emit CO
2
. For example, carbon emissions from cement
production refer to the direct emissions from the calcination pro-
cess for clinker production (2A1 in IPCC classification). Direct pri-
mary energy combustion and indirect electricity consumption
also occur during this process; emissions from these processes
can be categorized as emissions from energy combustion (1A2 in
IPCC classification). Carbon emissions from cement production
arise from the production of clinker, which is the major component
of cement. In the production of clinker, the calcination of calcium
carbonate (CaCO
3
) releases CO
2
emissions, but CO
2
can also be
released during the calcination of cement kiln dust (CKD). Thus,
http://dx.doi.org/10.1016/j.apenergy.2015.11.005
0306-2619/
Ó
2015 The Author. Published by Elsevier Ltd.
This is an open access article under the CC BY license (
http://creativecommons.org/licenses/by/4.0/
).
Address: John F. Kennedy School of Government, Harvard University,
Cambridge, MA 02138, USA.
E-mail addresses:
zhuliu@caltech.edu
,
zhu_liu@hks.harvard.edu
Applied Energy 166 (2016) 239–244
Contents lists available at
ScienceDirect
Applied Energy
journal homepage: www.elsevi
er.com/locat
e/apenergy
precisely estimating the carbon emissions from cement production
also requires the estimation of the carbon emissions from the pro-
duction of clinker and the CKD, for which the complexity and dif-
ficulty of calculation increases. Second, the emission factors used
for the calculation are highly dependent on the technology used
for production, and this technology is specific to time zone and
to region, thus causing difficulties for compiling the national emis-
sion factors for calculating emissions from industrial processes.
Finally, the global relocation of manufacturing from the developed
countries to the emerging economies introduces challenges for
emission calculations, given the incomprehensive statistics system
of industrial production and the lack of sufficient information
regarding the technology level of developing countries.
This study aims to present a quantitative estimation of national
carbon emissions from industrial production processes. We focus
on China, now the world’s top consumer of primary energy and
emitter of carbon emissions. Its rapid economic development and
industrialization processes
[13,14]
have made China the world’s
top consumer of primary energy and emitter of greenhouse gases
[15]
. In 2013, the total carbon emissions generated by China was
already higher than the combined emissions of the U.S. and the
EU
[16]
. Moreover, China has assumed the dominant position in
global manufacturing
[17]
, as its production of iron, steel, coke,
cement and glass constitute greater than 50% of global production
[18]
. Emissions from cement production have been reported by
international agencies such as CDIAC
[19]
and EDGAR
[9]
.
However, to our knowledge, emissions from other industrial pro-
cesses including those for mineral products (e.g., lime, soda ash,
asphalt roofing), chemical products (e.g., ammonia, nitric acid)
and metal products (e.g., iron, steel and aluminum), have not been
reported in the literature.
Many types of industrial processes could release carbon emis-
sions, including but not limited to the production of iron and steel,
metallurgical coke, cement, aluminum, soda ash, titanium dioxide,
lime, carbonates ammonia, petrochemicals, glass, zinc, phosphoric
acid, lead, silicon carbide and nitric acid. We investigated the man-
ufacturing of 22 industrial products (iron, steel, finished steel, tita-
nium, coke, cement, plate glass, sulfuric acid, soda ash, caustic
soda, ammonia, ethylene, calcium carbide, agrochemicals, nitro-
gen, phosphorus, chemical pesticides, non-ferrous metal, refined
copper, aluminum, alumina and lima). We calculated the emissions
of five industry processes based on the available data concerning
both production and emission factors.
Supported by the nationwide investigation of the factory-level
technologies that aim to calculate the emission factors, this
research used the national emission factors reported by the
National Development and Reform Commission (NDRC)
[20]
to cal-
culate the emissions of 5 major industrial production processes,
namely those of alumina, plate glass, soda ash, ammonia and cal-
cium carbide. We also calculated the emissions resulting from
the production of iron and steel; however, such emissions are cat-
egorized as emissions from energy consumption (1A2 in IPCC clas-
sification), given the fact that the emissions were generated during
the coke combustion that was used as a reducing agent. Our calcu-
lation thus does not incorporate the emissions from iron and steel
production.
2. Methodology
Carbon emissions from industrial production refer to the CO
2
released from the physical–chemical process of transforming raw
materials into industrial products. The fossil fuels used in this
transformation stage are considered the carbon emissions from
fossil fuel combustion performed by the industrial sectors and
are not considered as the industrial process emissions. For
example, emissions from the calcination of calcium carbonate
(CaCO
3
?
CaO + CO
2
) are considered industrial process emissions.
By contrast, emissions from fossil energy usage during the calcina-
tion process are considered energy-related emissions.
According to the IPCC’s Guidelines for National Greenhouse Gas
Inventories, industrial process emissions result from several types
of industrial production: Mineral industry (2A), chemical industry
(2B), metal industry (2C), non-energy products from fuels and sol-
vent use (2D) and other industry (2H). The detailed classifications
are provided in
Table 1
.
In this study, we calculated the emissions from 5 types of major
industry production processes. On the one hand, these emissions
are not reported in existing emission data sets; on the other hand,
the openly accessible data sources can be supported by the
calculation.
The IPCC
[5]
suggested three basic methodologies to estimate
industrial process emissions. The Tier 1 approach, also known as
the reference approach, is an output-based approach that esti-
mates emissions based on the production volume and the default
emission factors. The emissions factors refer to the emission
amounts per production unit, which amounts vary depending on
the production processes; the global average emission factors will
be used in the Tier 1 approach, and the emissions are estimated by
the mass production amount and the mass of emissions per pro-
duction unit (global average value). The Tier 2 approach is also
an output-based approach, but estimates emissions based on pro-
duction and country-specific information for correction emission
Table 1
Classifications of industrial process emissions by the IPCC.
Shaded cells are the industries that been calculated in this study.
240
Z. Liu/Applied Energy 166 (2016) 239–244
factors. The calculation process in this approach is similar to the
Tier 1 approach, except the global average emission factors are
replaced by country-specific values. The Tier 3 approach is an
input-based carbonate approach that estimates the emissions
based on the carbon inputs. The calculation process requires a
material flow analysis of the entire production supply chain.
Hence, the Tier 3 approach requires the greatest volume of data.
For the purpose of data feasibility, we adopted the Tier 1 approach.
Our calculation is based accordingly on the following equation:
Emission
¼
Activity data
i

Emission factor
i
ð
1
Þ
Activity data are the amount of industry products at the
national level (mass unit: tons). The emission factors (unit: ton
CO
2
/ton product) is the national average ratio of the amount of
CO
2
released for each unit of product. The emission released during
the production process of glass, soda ash, ammonia and calcium
carbide and alumina are listed as the following:
(1)
Glass production:
When glass raw materials have been
melted, the limestone (CaCO
3
), dolomite Ca(CO
3
), Mg(CO
3
)
and soda ash (Na
2
CO
3
) produce CO
2
:
CaCO
3
!
CaO
þ
CO
2
ð
2
Þ
MgCO
3
!
MgO
þ
CO
2
ð
3
Þ
(2)
Soda Ash production:
Soda ash comprises primarily sodium
carbonate (Na
2
CO
3
). CO
2
is emitted during the production
of Na
2
CO
3
, thus the carbon emissions can be estimated by
multiplying the quantity of soda ash consumed by the
default emission factor for sodium carbonate:
2Na
2
CO
3

NaHCO
3

2H
2
O
¼
3Na
2
CO
3
þ
5H
2
O
þ
CO
2
ð
4
Þ
(3)
Ammonia production:
Ammonia (NH
3
) in the form of major
industrial chemical products is synthesized by hydrogen
and nitrogen, while both the production processes will
release CO
2
as a byproduct:
Hydrogen production:
CH
4
þ
H
2
O
!
CO
þ
3H
2
ð
5
Þ
CO
þ
H
2
O
!
CO
2
þ
H
2
ð
6
Þ
Hydrogen and nitrogen production:
CH
4
þ
air
!
CO
þ
2H
2
þ
2N
2
ð
7
Þ
Ammonia synthesis:
N
2
þ
3H
2
!
2NH
3
ð
8
Þ
(4)
Calcium carbide production:
Calcium carbide (CaC
2
) is created
by heating calcium carbonate (CaCO
3
) to produce calcium
oxide (CaO) and the carbonization process of calcium oxide
(CaO). Both processes will release CO
2
.
CaCO
3
!
CaO
þ
CO
2
ð
9
Þ
CaO
þ
3C
!
CaC
2
þ
CO
ð
10
Þ
2CO
þ
O
2
!
2CO
2
ð
11
Þ
(5)
Alumina production:
During the alumina production process,
CO
2
is emitted from the consumption of carbon anodes
while transforming alumina oxide into alumina metal:
2Al
2
O
3
þ
3C
¼
4Al
þ
3CO
2
ð
12
Þ
3. Data sources
The activity production data for alumina, plate glass, soda ash,
ammonia and calcium carbide are all openly available from the
National Statistics Yearbook for 2014 (Table 13-12, Output of
Industrial Products)
[18]
, which is compiled by China’s National
Bureau of Statistics (NBS). The NBS is also the official source of
the industrial, social and economic data that used for creating
international datasets such as the datasets provided by the IEA
[21,22]
, World Bank
[22]
and the IMF. The data on energy con-
sumption and industry production provided by the NBS is also
reported by the China National Greenhouse Gas Inventory
[23]
and has been used for National Communication of Climate Change
[24]
. The emission factors used in this study are from the IPCC
guidelines for national greenhouse gas inventories and the NDRC
reports for China’s national greenhouse gas inventories
[20]
, which
are also consistent with National Communication of Climate
Change
[24]
(see
Fig. 1
).
4. Results
On the basis of the methodology, the activity data and emission
factors discussed above, we calculated the CO
2
emissions from the
production of alumina, plate glass, soda ash, ammonia and calcium
0
50
100
150
200
250
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
Mt CO
2
Alumina
Calcium Carbide
Ammonia
Soda Ash
Glass
Fig. 1.
Industrial process emissions from the production of alumina, plate glass, soda ash, ammonia and calcium carbide in 1990–2013.
Z. Liu /Applied Energy 166 (2016) 239–244
241
carbide for the period 1990–2013. The CO
2
emissions from these
five industrial productions rose rapidly over the studied period:
the total CO
2
emissions from the production of alumina, plate
glass, soda ash, ammonia and calcium carbide totaled only
43 Mt CO
2
in 1990 but 233 Mt CO
2
in 2013. The cumulative indus-
trial emissions of manufacturing the 5 products is also significant,
and during the 1990–2013 period, it measured approximately
2.5 Gt CO
2
, exceeding the total annual emissions of India. Annual
233 Mt CO
2
emissions are equivalent to approximately 25% of the
total emissions from cement production. However, such emissions
are not reported by current international emission datasets or by
China’s national emission inventories that are reported to the UN.
The emissions from the production of ammonia and alumina
constitute the highest proportion of total emissions from the 5
industrial processes. In 2013, emissions from ammonia and alu-
mina contributed 42% and 31% of total industrial process emis-
sions, respectively. Emissions from calcium carbide production
constituted the third largest contribution, constituting 24% of total
industrial process emissions. The contributions from glass produc-
tion and soda ash production are relatively small, namely 1.7% and
1.4%, respectively. For the 1990–2013 period, the industrial emis-
sions of all five production processes increased rapidly. In particu-
lar, the emissions from alumina production increased substantially
from 12 Mt CO
2
in 2004 to 73 Mt CO
2
in 2013, a sixfold increase
within ten years. The trend of increasing emissions from ammonia
production is relatively smooth compared with that from the pro-
duction of the other four products. This finding may be due to the
long history of Chinese agricultural development, and the associ-
ated demand for ammonia as a fertilizer has been relatively stable
because of the scale and status of China’s agriculture system.
Additionally, the emissions from the production of alumina, cal-
cium carbide and ammonia fluctuated around the year 2008, which
can be explained as the impact on the production processes of the
global economic crisis
[25]
. After 2008, the emissions from these
processes continued their rapid growth trends. China initiated a
4000 billion RMB economic stimulus plan in 2008 to counteract
the effects of the global economic crisis and invested most of the
capital in infrastructure construction, which stimulated industrial
production
[26]
. For example, the emissions from alumina
production doubled during the period 2008–2013. This doubling
can be explained by the rapid development of heavy industries
after 2008.
The provincial distribution of total emissions from the 5 indus-
trial processes in 2013 is presented in
Fig. 2
, which shows that the
total emissions were concentrated in China’s southern and eastern
coasts where the industries were more developed. However, the
central and southwestern underdeveloped regions show sharp
increases in the total process emissions over the previous 23 years.
For example, underdeveloped Western regions such as Xinjiang,
Qinghai, Tibet and Yunnan experienced significant increases in
their emissions during the period 1990–2013. By contrast, the
emission increases in developed regions were lower, such as in
Beijing, Tianjin and Shanghai. When comparing the per capita
emission of cement production with the per capita GDP (
Fig. 3
),
the developed eastern coastal provinces have high per capita
GDP, but the central and southwestern regions have higher emis-
sions with relative lower per capita GDP. The emissions per unit
of GDP indicates that the central and western underdeveloped
regions rely more extensively on heavy industries and have a
higher emission per unit production compared with other regions.
These results are consistent with the results of previous studies,
which indicated the outsourcing of heavy industry and manufac-
turing from China’s developed regions to its underdeveloped
regions
[27,28]
. Such a trend could increase China’s total carbon
emissions, given the spatial-longer logistical and lower technology
efficiencies in the central and western underdeveloped regions.
5. Discussion
These updated results for carbon emissions from the industrial
production processing of alumina, plate glass, soda ash, ammonia
Industrial production in 2013
Emission in 2013
Fig. 2.
Spatial pattern of the industrial process emissions from the production of alumina, plate glass, soda ash, ammonia and calcium carbide. Industrial p
roduction refers to
the production of non-metal products (in tons).
242
Z. Liu/Applied Energy 166 (2016) 239–244
and calcium carbide could have profound implications. A robust
carbon accounting framework is crucial for performing climate
modeling, addressing regional cap-and-trade systems and allocat-
ing mitigation responsibilities both domestically and internation-
ally
[29]
. However, excepting the emissions from cement
production, the emissions from other industrial production process
have not been widely reported and discussed. We show that the
233 Mt CO
2
emissions from the production of 5 major industrial
products were already equivalent to the combined annual emis-
sions of several developed countries. The 233 Mt CO
2
emissions
are also significant compared with the emissions from the cement
process (
Fig. 4
). The total emissions from all industrial processes
constitute approximately one-third of the emissions from cement
production in China. Thus, it is important to include such emissions
data within the national greenhouse gas emission inventory.
In this study, we used the national average emission factors to
complete the calculations. Our method could introduce uncertain-
ties, given that the emission factors for real technology may differ
from our estimates. The national average emission factors are sug-
gested by the National Development and Reform Commission
(NDRC), which is based on a sample investigation of hundreds of
factories. The NDRC suggested emission factors that are close to
the IPCC default values for global average estimation. However,
precisely estimating the emission factors for the national average
remains a significant challenge, given China’s tremendous indus-
trial scale and the dynamics of technology development. Addition-
ally, we used the activity data provided by national statistics,
which were reported to have discrepancies in the energy statistics
[30]
. Hence, it is possible that the reported amounts of industrial
emissions are also uncertain to some extent. Acknowledging these
uncertainties from both the emission factors and the activity data,
future studies should strive to undertake a more accurate and in-
depth analysis of the quantification of such uncertainties.
Improvements enabling more precise emissions reports can be
obtained by incorporating the following methodological revisions:
(1) use direct activity data rather than estimated data, such as car-
bon emissions calculations from factory-level production technol-
ogy that are based on actual production statistical data, not data
from the Statistics Yearbook; (2) develop the ‘‘Measurement,
Verification and Reporting (MRV)” emission inventory in which
activity data, emission factors and total emissions are reported
separately, which will provide benefits such as data verification
and improved emission inventories; (3) conduct in situ site moni-
toring and satellite measurements
[31,32]
as complementary
methods; and (4) construct ‘‘bottom-up” emission inventories in
which the emissions of cities, specific sectors and individual prod-
ucts are also developed.
The results show that the carbon-intensive industries are
mainly distributed in the central and eastern regions of China.
Hence, it is reasonable to encourage the transfer of international
Emission per capita in 2013
GDP per capita in 2013
Fig. 3.
Spatial pattern of the GDP per capita and the per capita industrial process emissions from the production of alumina, plate glass, soda ash, ammonia an
d calcium
carbide.
0
100
200
300
400
500
600
700
800
900
1000
Process
emission from
5 products
(China) from
this study
Emission from
cement
producon
(China)
Total emission
from Spain
Total emission
from Italy
Total emission
from France
Total emission
from Canada
Mt CO
2
Fig. 4.
Carbon emissions from China’s industrial process and cement production,
and the total carbon emission from several developed countries (data based on
EDGAR).
Z. Liu /Applied Energy 166 (2016) 239–244
243
technologies and capital inputs for carbon mitigation to those
regions. Such action could effectively reduce the industrial process
emissions of these regions. Considering the emissions from both
industrial processes and fossil fuel combustion can supply incen-
tives for such actions. China should improve the energy efficiency
and more broadly, the environmental performance of industrial
practices in its poor regions, perhaps by adopting technologies
already used on its eastern coast, which exhibits lower carbon
emission intensities. Climate policy must address the balance
between the sustainable development efforts between the north-
ern and southern and the rich and the poor regions, as well as
between production and consumption.
6. Conclusion
In this study, we quantified the industrial process emissions
from the production of alumina, plate glass, soda ash, ammonia
and calcium carbide. The total emissions from the industrial pro-
cessing of these five products reached 233 Mt CO
2
in 2013. The
cumulative emissions from the production of these five products
was approximately 2.5 Gt CO
2
during the period 1990–2013. The
scale and rate of increase of China’s industrial process emissions
are significant in global terms, with the emission from the 5 indus-
trial processes comparable to the combined emissions of some
developed countries. However, such emission amounts have not
been reported by international carbon emission data sets and
national emission inventories. Such emissions must be considered
when designing a low carbon policy and development strategy
[33,34]
. More importantly, given the considerable uncertainty
regarding the estimation of China’s carbon emissions, more precise
estimates and in situ studies based on bottom-up data sources
must be prioritized in future research
[35]
.
Acknowledgements
Zhu Liu acknowledges the National Natural Science Foundation
of China – NSFC 41501605, the Resnick Prize Postdoctoral
Fellowship and support from Resnick Sustainability Institute.
Appendix A. Supplementary material
Supplementary data associated with this article can be found, in
the online version, at
http://dx.doi.org/10.1016/j.apenergy.2015.
11.005
.
References
[1] Intergovernmental Panel on Climate Change (IPCC). Fourth assessment report.
Climate change 2007: synthesis report. Intergovernmental Panel on Climate
Change; 2007.
[2] Intergovernmental Panel on Climate Change (IPCC). The science of climate
change. Second assessment report of the intergovernmental panel on climate
change. Cambridge: Cambridge University Press; 1996.
[3] Intergovernmental Panel on Climate Change (IPCC). Climate change 2007: the
fourth IPCC assessment report. Valencia, Spain: Intergovernmental Panel on
Climate Change; 2007.
[4] Intergovernmental Panel on Climate Change (IPCC). Climate change 2001: The
scientific basis. Third assessment report of the intergovernmental panel on
climate change. Cambridge Univ Press; 2001.
[5] Intergovernmental Panel on Climate Change (IPCC). IPCC guidelines for
national greenhouse gas inventories. Japan: Intergovernmental Panel on
Climate Change; 2006.
[6]
Le Quéré C, Andres RJ, Boden T, Conway T, Houghton RA, House JI, et al. The
global carbon budget 1959–2011. Earth Syst Sci Data 2013;5:165–86
.
[7]
Levin I. Earth science. The balance of the carbon budget. Nature 2012;488
(7409):35–6
.
[8]
Boden T, Andres RJ, Marland G. Global, regional, and national fossil-fuel CO
2
emissions, vol. 2013. Oak Ridge (TN, USA): Carbon Dioxide Information
Analysis Center, Oak Ridge National Laboratory; 2013
.
[9] Olivier JG, Janssens-Maenhout G, Peters JA. Trends in global CO
2
emissions:
2014 report. PBL Netherlands Environmental Assessment Agency; 2014.
[10]
Marland G, Rotty RM. Carbon dioxide emissions from fossil fuels: a procedure
for estimation and results for 1950–1982. Tellus B 1984;36(4):232–61
.
[11]
Stern NH, Britain G, Treasury H. Stern review: the economics of climate
change, vol. 30. London: HM Treasury; 2006
.
[12]
Liu Z, Guan D, Wei W, Davis SJ, Ciais P, Bai J, et al. Reduced carbon emission
estimates from fossil fuel combustion and cement production in China. Nature
2015;524(7565):335–8
.
[13]
Chang C-C. A multivariate causality test of carbon dioxide emissions, energy
consumption and economic growth in China. Appl Energy 2010;87
(11):3533–7
.
[14]
Tan Z, Li L, Wang J, Wang J. Examining the driving forces for improving China’s
CO
2
emission intensity using the decomposing method. Appl Energy 2011;88
(12):4496–504
.
[15]
Liu Z, Geng Y, Lindner S, Guan D. Uncovering China’s greenhouse gas emission
from regional and sectoral perspectives. Energy 2012;45(1):1059–68
.
[16] Global carbon project. Carbon budget 2014; 2014.
[17]
Liu Z, Geng Y, Lindner S, Zhao H, Fujita T, Guan D. Embodied energy use in
China’s industrial sectors. Energy Policy 2012;49:751–8
.
[18]
National Bureau of Statistics. China statistical yearbook 2014. Beijing: China
Statistics Press; 2014
.
[19]
Boden TA, Marland G, Andres RJ. Global, regional, and national fossil-fuel CO
2
emissions. Oak Ridge National Laboratory, US Department of Energy; 2013
.
[20]
National Development and Reform Commission (NDRC). Guidelines for
provincial greenhouse gas emission inventories in China. Beijing: National
Development and Reform Commission; 2012
.
[21]
International Energy Agency (IEA). Key world energy statistics. International
Energy Agency; 2013
.
[22]
World Bank. World development indicators. World Bank; 2013
.
[23]
National Development and Reform Commission (NDRC). The People’s Republic
of China national greenhouse gas inventory. Beijing: China Environmental
Science Press; 2007
.
[24] National Development and Reform Commission (NDRC). Second national
communication on climate change of the People’s Republic of China; 2012.
[25]
Peters GP, Marland G, Le Quéré C, Boden T, Canadell JG, Raupach MR. Rapid
growth in CO
2
emissions after the 2008–2009 global financial crisis. Nat Clim
Change 2012;2(1):2–4
.
[26]
Guan D, Klasen S, Hubacek K, Feng K, Liu Z, He K, et al. Determinants of
stagnating carbon intensity in China. Nat Clim Change 2014;4(11):1017–23
.
[27]
Feng K, Hubacek K, Sun L, Liu Z. Consumption-based CO
2
accounting of China’s
megacities: the case of Beijing, Tianjin, Shanghai and Chongqing. Ecol Ind
2014;47:26–31
.
[28]
Feng K, Davis SJ, Sun L, Li X, Guan D, Liu W, et al. Outsourcing CO
2
within
China. Proc Nat Acad Sci USA (PNAS) 2013;110(21):11654–9
.
[29]
Liu Z, Xi F, Guan D. Climate negotiations: tie carbon emissions to consumers.
Nature 2013;493(7432):304–5
.
[30]
Guan D, Liu Z, Geng Y, Lindner S, Hubacek K. The gigatonne gap in China’s
carbon dioxide inventories. Nat Clim Change 2012;2:672–5
.
[31]
Akimoto H, Ohara T, Kurokawa J, Horii N. Verification of energy consumption
in China during 1996–2003 by using satellite observational data. Atmos
Environ 2006;40:7663–7
.
[32]
Berezin E, Konovalov I, Ciais P, Richter A, Tao S, Janssens-Maenhout G, et al.
Multiannual changes of CO
2
emissions in China: indirect estimates derived
from satellite measurements of tropospheric NO
2
columns. Atmos Chem Phys
Discuss 2013;13(1):255–309
.
[33]
Liu Z, Guan D, Moore S, Lee H, Su J, Zhang Q. Climate policy: steps to China’s
carbon peak. Nature 2015;522(7556):279–81
.
[34]
Liu Z, Davis SJ, Feng K, Hubacek K, Liang S, Anadon LD, et al. Targeted
opportunities to address the climate-trade dilemma in China. Nat Clim Change
2015
.
[35]
Liu Z, Guan D, Crawford-Brown D, Zhang Q, He K, Liu J. Energy policy: a low-
carbon road map for China. Nature 2013;500(7461):143–5
.
244
Z. Liu/Applied Energy 166 (2016) 239–244