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Journal-ISO = {{J. Clean Prod.}},
Doc-Delivery-Number = {{GM3IE}},
Unique-ID = {{ISI:000437997200045}},
DA = {{2020-08-06}},
}

@article{ ISI:000443129500056,
Author = {Peng, Youbing},
Title = {{Simulated Interannual Teleconnection Between the Summer North Atlantic
   Oscillation and Summer Precipitation in Eastern China During the Last
   Millennium}},
Journal = {{GEOPHYSICAL RESEARCH LETTERS}},
Year = {{2018}},
Volume = {{45}},
Number = {{15}},
Pages = {{7741-7747}},
Month = {{AUG 16}},
Abstract = {{The interannual teleconnections between the summer North Atlantic
   Oscillation and summer precipitation in eastern China over the last
   millennium are investigated in a 1,000-year simulation by the global
   climate model Community Climate System Model version 2.0.1. The model
   was able to roughly produce the general features of the teleconnection
   influences in eastern China, with negative (positive) precipitation
   anomalies north of 30 degrees N and positive (negative) precipitation
   anomalies south of 30 degrees N, associated with the positive (negative)
   phase of the North Atlantic Oscillation. The composite analysis reveals
   that the influence of the North Atlantic Oscillation on precipitation in
   summer in eastern China is chiefly via the ``North Atlantic-Eurasian
   teleconnection pattern,{''} which extends from the subtropical North
   Atlantic to East Asia.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Peng, YB (Corresponding Author), Xi An Jiao Tong Univ, Sch Human Settlements \& Civil Engn, Xian, Shaanxi, Peoples R China.
   Peng, Youbing, Xi An Jiao Tong Univ, Sch Human Settlements \& Civil Engn, Xian, Shaanxi, Peoples R China.}},
DOI = {{10.1029/2018GL078691}},
ISSN = {{0094-8276}},
EISSN = {{1944-8007}},
Keywords = {{NAO; precipitation; wave train; interannual teleconnection; eastern
   china; the last millennium}},
Keywords-Plus = {{CLIMATE SYSTEM MODEL; SPRING-NAO; PAST MILLENNIUM; TIBETAN PLATEAU;
   MONSOON}},
Research-Areas = {{Geology}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary}},
Author-Email = {{youbingpeng@mail.xjtu.edu.cn}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}41605046]}},
Funding-Text = {{This work was supported by the National Natural Science Foundation of
   China (grant 41605046). We acknowledge the critical comments from the
   anonymous reviewers and editor. The tree ring-based Monsoon Asia Drought
   Atlas and reconstructed NAOI used in Figure were obtained from NOAA at
   http://www.ncdc.noaa.gov/data-access/paleoclimatology-data/datasets/clim
   ate-reconstruction. Monthly mean precipitation flux data from the past
   1000 experiments of the CMIP5/PMIP3 are available at
   http://esgf-node.llnl.gov/projects/cmip5.}},
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DA = {{2020-08-06}},
}

@article{ ISI:000433017000015,
Author = {Acquaye, Adolf and Ibn-Mohammed, Taofeeq and Genovese, Andrea and
   Afrifa, Godfred A. and Yamoah, Fred A. and Oppon, Eunice},
Title = {{A quantitative model for environmentally sustainable supply chain
   performance measurement}},
Journal = {{EUROPEAN JOURNAL OF OPERATIONAL RESEARCH}},
Year = {{2018}},
Volume = {{269}},
Number = {{1}},
Pages = {{188-205}},
Month = {{AUG 16}},
Abstract = {{The development of robust mechanisms for supply chain performance
   measurement have been identified as an integral step needed for the
   transition towards sustainable supply chain systems and a greener global
   economy. However, measuring the environmental performance of supply
   chains is a challenging task, due to several factors, such as the lack
   of standardised methodologies and the inherent multi-criteria nature of
   the problem. By leveraging the capability of a Multi-Regional
   Input-Output framework to handle the complex and global nature of supply
   chains, the current work presents a robust environmental sustainable
   performance measurement model underpinned by industrial lifecycle
   thinking.
   As a result, some theoretical insights are provided and an empirical
   application of the model to the Metal Products industry of the BRICS
   (Brazil, Russia, India, China, and South Africa) nations undertaken in
   an attempt to address some of the methodological and applied measurement
   challenges. In particular, this allowed the modelling of carbon
   emissions trends within, and between the BRICS nations and with the
   Rest-of-the-World over a 20-year period (1992-2011) as well as providing
   an opportunity to hypothesis on their future carbon emissions
   performances. Specific analyses of the Metal Product industry showed
   that demand represents the main driver for the increasing carbon
   footprint. However, the overall decline in reported carbon footprint was
   due to improvements in emissions intensity and efficiency gains induced
   by technology. The study further assesses the effects of imports and
   economic growth on carbon footprint and discusses the implications of
   the study to sustainability transition processes in the BRICS nations.
   (C) 2017 The Authors. Published by Elsevier B.V.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Acquaye, A (Corresponding Author), Univ Kent, Kent Business Sch, Canterbury CT2 7PE, Kent, England.
   Acquaye, Adolf, Univ Kent, Kent Business Sch, Canterbury CT2 7PE, Kent, England.
   Ibn-Mohammed, Taofeeq; Oppon, Eunice, Univ Sheffield, Ctr Energy Environm \& Sustainabil, Sheffield S10 1FL, S Yorkshire, England.
   Ibn-Mohammed, Taofeeq; Oppon, Eunice, Univ Sheffield, Adv Resource Efficiency Ctr, Sheffield S10 1FL, S Yorkshire, England.
   Genovese, Andrea, Univ Sheffield, Management Sch, Logist \& Supply Chain Management Res Ctr, Sheffield, S Yorkshire, England.
   Afrifa, Godfred A., Canterbury Christ Church Univ, Business Sch, Canterbury CT1 1NX, Kent, England.
   Yamoah, Fred A., Brunel Univ London, Brunel Business Sch, London UB8 3PH, England.}},
DOI = {{10.1016/j.ejor.2017.10.057}},
ISSN = {{0377-2217}},
EISSN = {{1872-6860}},
Keywords = {{Operational research in environment and climate change; Supply chain;
   Sustainable performance measurement; Industry lifecycle thinking; BRICS}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; DECISION-SUPPORT-SYSTEM; GLOBAL VALUE CHAINS;
   CARBON FOOTPRINTS; ECONOMIC-SYSTEM; STEEL-INDUSTRY; CO2 EMISSIONS;
   CONSUMPTION; MANAGEMENT; FRAMEWORK}},
Research-Areas = {{Business \& Economics; Operations Research \& Management Science}},
Web-of-Science-Categories  = {{Management; Operations Research \& Management Science}},
Author-Email = {{a.a.acquaye@kent.ac.uk}},
ORCID-Numbers = {{Acquaye, Adolf/0000-0003-0430-2498
   Oppon, Eunice Pokuaa/0000-0002-5959-3221
   Afrifa, Godfred/0000-0003-3670-8812}},
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Number-of-Cited-References = {{111}},
Times-Cited = {{21}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{107}},
Journal-ISO = {{Eur. J. Oper. Res.}},
Doc-Delivery-Number = {{GG9JO}},
Unique-ID = {{ISI:000433017000015}},
OA = {{Green Accepted, Other Gold, Green Published}},
DA = {{2020-08-06}},
}

@article{ ISI:000442173200040,
Author = {Liu, Bin and Wang, Dedong and Xu, Youquan and Liu, Chunlu and Luther,
   Mark},
Title = {{Embodied energy consumption of the construction industry and its
   international trade using multi-regional input-output analysis}},
Journal = {{ENERGY AND BUILDINGS}},
Year = {{2018}},
Volume = {{173}},
Pages = {{489-501}},
Month = {{AUG 15}},
Abstract = {{International trade supplies a great number of new opportunities for the
   development of the construction industry in relation to globalisation.
   Many construction industry studies relevant to international trade have
   focused on the evaluation of national trade performance in energy from
   the viewpoint of the whole economy or of a specific product.
   Intermediate demand and input, as significant components of the
   input-output table, indicate the interrelationships between economic
   sectors, as well as the economic structure in relation to aspects of
   production and consumption. The purpose of this paper is to analyse the
   international trade in construction products and services with a focus
   on their embodied energy consumed at the intermediate level. A
   multi-regional input-output method is adopted to assess the transfer of
   embodied energy that accompanies the international trade of the global
   construction industries. The net embodied energy in the construction
   industry of each world region has been identified based on its exports
   and imports. The results indicate that the average embodied energy
   consumption in intermediate demand over 1999-2009 accounted for
   approximately 90\% in the world construction industries. International
   construction industries were dominated by activities of intermediate
   production which aimed to satisfy the embodied energy consumption in the
   intermediate and final requirements. The USA, China, Japan, Spain and
   India were the top five in the scale of the intermediate consumption of
   embodied energy. The production of intermediate goods and services in
   some world regions decreased its dependence on embodied energy imports
   from the international construction industries. This study highlights
   the influence of the international trade in embodied energy on the
   development of the construction industry at the intermediate level. The
   outcomes provide considerable resources and references for policy
   adjustment and strategy design in the management of international trade
   for the construction sector. (C) 2018 Elsevier B.V. All rights reserved.}},
Publisher = {{ELSEVIER SCIENCE SA}},
Address = {{PO BOX 564, 1001 LAUSANNE, SWITZERLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Liu, CL (Corresponding Author), Deakin Univ, Sch Architecture \& Built Environm, Geelong, Vic, Australia.
   Liu, Bin; Liu, Chunlu; Luther, Mark, Deakin Univ, Sch Architecture \& Built Environm, Geelong, Vic, Australia.
   Wang, Dedong; Xu, Youquan, Shandong Jianzhu Univ, Sch Management Engn, Jinan, Shandong, Peoples R China.}},
DOI = {{10.1016/j.enbuild.2018.05.040}},
ISSN = {{0378-7788}},
EISSN = {{1872-6178}},
Keywords = {{Construction industry; Embodied energy; International trade;
   Multi-regional input-output analysis}},
Keywords-Plus = {{CO2 EMISSIONS; PRODUCTIVITY-MEASUREMENT; ENVIRONMENTAL IMPACTS; DOMESTIC
   TRADE; ECONOMY 2007; LAND-USE; FOOTPRINT; MODEL; WATER; DEMAND}},
Research-Areas = {{Construction \& Building Technology; Energy \& Fuels; Engineering}},
Web-of-Science-Categories  = {{Construction \& Building Technology; Energy \& Fuels; Engineering, Civil}},
Author-Email = {{chunlu@deakin.edu.au}},
ORCID-Numbers = {{Liu, Chunlu/0000-0003-1144-4355}},
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Number-of-Cited-References = {{44}},
Times-Cited = {{7}},
Usage-Count-Last-180-days = {{8}},
Usage-Count-Since-2013 = {{32}},
Journal-ISO = {{Energy Build.}},
Doc-Delivery-Number = {{GR0BO}},
Unique-ID = {{ISI:000442173200040}},
DA = {{2020-08-06}},
}

@article{ ISI:000441298000003,
Author = {Stephan, Claudia Christine and Klingaman, Nicholas P. and Vidale, Pier
   Luigi and Turner, Andrew G. and Demory, Marie-Estelle and Guo, Liang},
Title = {{Intraseasonal summer rainfall variability over China in the MetUM GA6
   and GC2 configurations}},
Journal = {{GEOSCIENTIFIC MODEL DEVELOPMENT}},
Year = {{2018}},
Volume = {{11}},
Number = {{8}},
Pages = {{3215-3233}},
Month = {{AUG 10}},
Abstract = {{The simulation of intraseasonal precipitation variability over China in
   extended summer (May-October) is evaluated based on six climate
   simulations of the Met Office Unified Model. Two simulations use the
   Global Atmosphere 6.0 (GA6) and four the Global Coupled 2.0 (GC2)
   configuration. Model biases are large such that mean precipitation and
   intraseasonal variability reach twice their observed values,
   particularly in southern China. To test the impact of air-sea coupling
   and horizontal resolution, GA6 and GC2 at horizontal resolutions
   corresponding to similar to 25, 60, and 135 km at 50 degrees N are
   analyzed. Increasing the horizontal resolution and adding air-sea
   coupling have little effect on these biases. Pre-monsoon rainfall in the
   Yangtze River basin is too strong in all simulations. Simulated rainfall
   amounts in June are too high along the southern coast and persist in the
   coastal region through July, with only a weak northward progression. The
   observed northward propagation of the Meiyu-Baiu-Changma rainband from
   spring to late summer is poor in all GA6 and GC2 simulations. To assess
   how well the MetUM simulates spatial patterns of temporally coherent
   precipitation, empirical orthogonal teleconnection (EOT) analysis is
   applied to pentad-mean precipitation. Patterns are connected to
   large-scale processes by regressing atmospheric fields onto the EOT
   pentad time series. Most observed patterns of intraseasonal rainfall
   variability are found in all simulations, including the associated
   observed mechanisms. This suggests that GA6 and GC2 may provide useful
   predictions of summer intraseasonal variability despite their
   substantial biases in mean precipitation and overall intraseasonal
   variance.}},
Publisher = {{COPERNICUS GESELLSCHAFT MBH}},
Address = {{BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Stephan, CC (Corresponding Author), Univ Reading, Dept Meteorol, Natl Ctr Atmospher Sci Climate, POB 243, Reading RG6 6BB, Berks, England.
   Stephan, CC (Corresponding Author), Max Planck Inst Meteorol, Bundesstr 53, D-20146 Hamburg, Germany.
   Stephan, Claudia Christine; Klingaman, Nicholas P.; Vidale, Pier Luigi; Turner, Andrew G.; Demory, Marie-Estelle; Guo, Liang, Univ Reading, Dept Meteorol, Natl Ctr Atmospher Sci Climate, POB 243, Reading RG6 6BB, Berks, England.
   Turner, Andrew G., Univ Reading, Dept Meteorol, POB 243, Reading RG6 6BB, Berks, England.
   Demory, Marie-Estelle, Univ Bern, Ctr Space \& Habitabil, Gesellsch Str 6, CH-3012 Bern, Switzerland.
   Stephan, Claudia Christine, Max Planck Inst Meteorol, Bundesstr 53, D-20146 Hamburg, Germany.}},
DOI = {{10.5194/gmd-11-3215-2018}},
ISSN = {{1991-959X}},
EISSN = {{1991-9603}},
Keywords-Plus = {{BOREAL SUMMER; RESOLUTION SENSITIVITY; COUPLED MODEL; ERA-INTERIM;
   EAST-ASIA; PRECIPITATION; MONSOON; OCEAN; PACIFIC; CMIP5}},
Research-Areas = {{Geology}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary}},
Author-Email = {{claudia.stephan@mpimet.mpg.de}},
ResearcherID-Numbers = {{Vidale, Pier Luigi/AAF-6468-2019
   Stephan, Claudia Christine/AAL-4455-2020
   Guo, Liang/AAI-6750-2020
   Marie-Estelle, Demory/O-5684-2019
   Turner, Andrew G/D-2286-2009
   Klingaman, Nicholas P/H-4610-2012}},
ORCID-Numbers = {{Vidale, Pier Luigi/0000-0002-1800-8460
   Guo, Liang/0000-0002-6004-3884
   Marie-Estelle, Demory/0000-0002-5764-3248
   Turner, Andrew G/0000-0002-0642-6876
   Klingaman, Nicholas P/0000-0002-2927-9303}},
Funding-Acknowledgement = {{UK-China Research \& Innovation Partnership Fund through the Met Office
   Climate Science for Service Partnership (CSSP) China as part of the
   Newton Fund; Natural Environment Research CouncilNERC Natural
   Environment Research Council {[}NE/L010976/1]; NERC HPC grant FEBBRAIO;
   NERC HPC grant FEBBRAIO-2 {[}NE/R/H9/37]}},
Funding-Text = {{This work and its contributors (Claudia Christine Stephan, Pier Luigi
   Vidale, Andrew Turner, Marie-Estelle Demory, and Liang Guo) were
   supported by the UK-China Research \& Innovation Partnership Fund
   through the Met Office Climate Science for Service Partnership (CSSP)
   China as part of the Newton Fund. Nicholas Klingaman was supported by an
   Independent Research Fellowship from the Natural Environment Research
   Council (NE/L010976/1). The high-resolution model C512 was developed by
   the JWCRP-HRCM group. The C512 simulations were supported by the NERC
   HPC grants FEBBRAIO and FEBBRAIO-2 (NE/R/H9/37), and they were performed
   on the UK National Supercomputing Service ARCHER by Pier Luigi Vidale
   and Karthee Sivalingam. APHRODITE data are available from
   http://www.chikyu.ac.jp/precip/. OLR data are provided by the
   NOAA/OAR/ESRL PSD, Boulder, Colorado, USA, at
   http://www.esrl.noaa.gov/psd/.}},
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   Williams KD, 2015, GEOSCI MODEL DEV, V8, P1509, DOI 10.5194/gmd-8-1509-2015.
   Yatagai A, 2012, B AM METEOROL SOC, V93, P1401, DOI 10.1175/BAMS-D-11-00122.1.}},
Number-of-Cited-References = {{59}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{5}},
Journal-ISO = {{Geosci. Model Dev.}},
Doc-Delivery-Number = {{GQ0HA}},
Unique-ID = {{ISI:000441298000003}},
OA = {{DOAJ Gold, Green Accepted}},
DA = {{2020-08-06}},
}

@article{ ISI:000435619400036,
Author = {Ma, Yufang and Yan, Jingjing and Sha, Jinghua and He, Gengyu and Song,
   Ci and Fan, Songmei and Ke, Wenlan},
Title = {{Dynamic simulation of the atmospheric environment improved by a focus on
   clean energy utilization of resource-based cities in China}},
Journal = {{JOURNAL OF CLEANER PRODUCTION}},
Year = {{2018}},
Volume = {{192}},
Pages = {{396-410}},
Month = {{AUG 10}},
Abstract = {{Industrial structures in China's resource-based cities are unlikely to
   materially change in the short term, and the large quantities of air
   pollutants emitted by residents' energy consumption cause serious air
   pollution. It is therefore urgently required to frame policies that can
   be adopted to realize the sustainable development of a social economy
   under the constraint of atmospheric environment in China's
   resource-based cities. In this paper, we develop a dynamic optimization
   model by using input-output analysis with gross regional product (GRP)
   maximization as the objective function. This model contains three
   submodels: the socioeconomic submodel, atmo-environmental control
   submodel, and energy submodel. The model is applied to Tangshan City, a
   typical resource-based industrial city, to conduct a dynamic simulation
   with 13 terms from 2013 to 2025 and based on the data in 2012. The goal
   for the model operation is to realize the optimal development of a
   social economy under the restrain of certain emission levels of air
   pollutants. This goal is achieved by introducing a comprehensive policy
   that includes a residential clean energy promotion policy and an
   industry emission reduction policy, and industrial restructuring also
   plays a role by industrial subsidies. The simulation results demonstrate
   that sulfur dioxide (SO2) and nitrogen oxides (NOx) can be reduced by
   53\% and 45\%, respectively, in Tangshan City in 2025 compared with
   their values in 2012 with an annual GRP growth rate of 6.2\%. The total
   output of the clean energy in the simulation period is 41.4 million tons
   of standard coal. The goal of improving the atmospheric environment and
   sustainable development of social economies in resource-based cities can
   be achieved by coordinating the relationship among economic development,
   atmospheric environmental protection, and energy consumption through a
   dynamic optimization model with a comprehensive policy and industrial
   restructuring. (C) 2018 Elsevier Ltd. All rights reserved.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Yan, JJ (Corresponding Author), China Univ Geosci, Sch Humanities \& Econ Management, Beijing 100083, Peoples R China.
   Ma, Yufang; Yan, Jingjing; Sha, Jinghua; He, Gengyu; Song, Ci; Fan, Songmei; Ke, Wenlan, China Univ Geosci, Sch Humanities \& Econ Management, Beijing 100083, Peoples R China.
   Ma, Yufang; Yan, Jingjing; Sha, Jinghua; He, Gengyu; Song, Ci; Fan, Songmei; Ke, Wenlan, Minist Land \& Resource, Key Lab Carrying Capac Assessment Resource \& Envi, Beijing 100083, Peoples R China.
   Ma, Yufang; Yan, Jingjing; Sha, Jinghua; He, Gengyu; Song, Ci; Fan, Songmei; Ke, Wenlan, China Univ Geosci, Lab Resources \& Environm Management, Beijing 100083, Peoples R China.}},
DOI = {{10.1016/j.jclepro.2018.04.247}},
ISSN = {{0959-6526}},
EISSN = {{1879-1786}},
Keywords = {{Atmospheric environment; Dynamic optimization model; Input-output
   analysis; Clean energy; Resource-based cities}},
Keywords-Plus = {{AIR-POLLUTION CONTROL; RENEWABLE ENERGY; MODEL; EMISSIONS; MORTALITY;
   IMPACTS; POLICY}},
Research-Areas = {{Science \& Technology - Other Topics; Engineering; Environmental
   Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Engineering, Environmental;
   Environmental Sciences}},
Author-Email = {{yanjingjing312@hotmail.com}},
Funding-Acknowledgement = {{Fundamental Research Funds for the Central UniversitiesFundamental
   Research Funds for the Central Universities {[}2652017029]; National
   Natural Science Foundation of ChinaNational Natural Science Foundation
   of China {[}41101559]; Beijing Social Science Foundation {[}14JGC116]}},
Funding-Text = {{The authors are thankful for the support from the Fundamental Research
   Funds for the Central Universities (No. 2652017029), the National
   Natural Science Foundation of China (No. 41101559), and the Beijing
   Social Science Foundation (No. 14JGC116).}},
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Number-of-Cited-References = {{36}},
Times-Cited = {{3}},
Usage-Count-Last-180-days = {{5}},
Usage-Count-Since-2013 = {{60}},
Journal-ISO = {{J. Clean Prod.}},
Doc-Delivery-Number = {{GJ8DL}},
Unique-ID = {{ISI:000435619400036}},
DA = {{2020-08-06}},
}

@article{ ISI:000435619400051,
Author = {Yuan, Rong and Rodrigues, Joao F. D. and Behrens, Paul},
Title = {{Impact of non-fossil electricity on the carbon emissions embodied in
   China's exports}},
Journal = {{JOURNAL OF CLEANER PRODUCTION}},
Year = {{2018}},
Volume = {{192}},
Pages = {{582-596}},
Month = {{AUG 10}},
Abstract = {{Embodied carbon emissions have been particularly high in Chinese exports
   due to the domination of coal consumption in China's electricity mix. In
   order to decarbonize China's electricity system, the government of China
   embarked on a large-scale, national roll-out of non-fossil electricity
   (NE). Thus, understanding the carbon impacts of NE may help facilitate
   China's efforts to reduce emissions embodied in exports. This study
   builds a hybrid, energy-economic, multi-regional input-output (MRIO)
   model to investigate the impact of NE development on emissions embodied
   in exports by comparing the observed NE expansion against a
   counterfactual scenario without NE deployment. The total contribution of
   NE expansion between 2002 and 2014 is decomposed into three factors:
   intraregional, electricity transmission as well as inter-regional
   supply-chain. Our results show that NE expansion reduced carbon
   emissions embodied in exports by 203 Mt (million tonnes) in 2007, 243 Mt
   in 2010 and 259 Mt in 2014. These mitigated emissions accounted for
   11.3\% in 2007, 14.9\% in 2010 and 19.5\% in 2014 of the total emissions
   embodied in exports. The intra-regional effect accounted for
   approximately 60\% of those CO2 savings during 2007-2014. The effect of
   electricity transmission accounted for more than 20\%, and the remainder
   of emission reductions resulted from inter-regional economic linkages.
   (C) 2018 Published by Elsevier Ltd.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Yuan, R (Corresponding Author), Leiden Univ, CML, Inst Environm Sci, Einsteinweg 2, NL-2333 CC Leiden, Netherlands.
   Yuan, R (Corresponding Author), Tianjin Univ, Sch Management \& Econ, Weijin 92, Tianjin 300072, Peoples R China.
   Yuan, Rong; Rodrigues, Joao F. D.; Behrens, Paul, Leiden Univ, CML, Inst Environm Sci, Einsteinweg 2, NL-2333 CC Leiden, Netherlands.
   Yuan, Rong, Tianjin Univ, Sch Management \& Econ, Weijin 92, Tianjin 300072, Peoples R China.
   Behrens, Paul, Leiden Univ, Coll Hague, Anna Buerenpl 301, NL-2595 DG The Hague, Netherlands.}},
DOI = {{10.1016/j.jclepro.2018.04.255}},
ISSN = {{0959-6526}},
EISSN = {{1879-1786}},
Keywords = {{CO2 emissions; Non-fossil electricity; Multi-regional input-output
   model; Electricity transmission; Supply-chain effect}},
Keywords-Plus = {{RENEWABLE ENERGY DEVELOPMENT; INPUT-OUTPUT-ANALYSIS; CO2 EMISSIONS;
   STRUCTURAL DECOMPOSITION; INTERNATIONAL-TRADE; AIR-POLLUTION;
   ENVIRONMENTAL ASSESSMENT; DRIVING FACTORS; GREEN GROWTH; WIND ENERGY}},
Research-Areas = {{Science \& Technology - Other Topics; Engineering; Environmental
   Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Engineering, Environmental;
   Environmental Sciences}},
Author-Email = {{r.yuan@cml.leidenuniv.nl}},
ResearcherID-Numbers = {{RODRIGUES, JOAO/AAC-6993-2019}},
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Number-of-Cited-References = {{91}},
Times-Cited = {{7}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{27}},
Journal-ISO = {{J. Clean Prod.}},
Doc-Delivery-Number = {{GJ8DL}},
Unique-ID = {{ISI:000435619400051}},
DA = {{2020-08-06}},
}

@article{ ISI:000435619400084,
Author = {Li, Y. L. and Chen, Bin and Han, M. Y. and Dunford, Michael and Liu,
   Weidong and Li, Zhi},
Title = {{Tracking carbon transfers embodied in Chinese municipalities' domestic
   and foreign trade}},
Journal = {{JOURNAL OF CLEANER PRODUCTION}},
Year = {{2018}},
Volume = {{192}},
Pages = {{950-960}},
Month = {{AUG 10}},
Abstract = {{Cities are the major contributors to global carbon dioxide emissions;
   however, the carbon transfers embodied in cities' domestic and foreign
   trade have not been fully discussed. As carbon emissions from different
   domestic and foreign trade partners have not been distinguished, and
   since China's four municipalities (Beijing, Tianjin, Shanghai and
   Chongqing) carry an increasingly significant responsibility for carbon
   reduction in China, a multi-scale and multi-regional carbon emission
   assessment is applied to identify their emission transfers to and from
   26 domestic provinces and 184 foreign economies. The results show that
   the intensities of the four municipalities are mainly above the
   international standard (0.14 kg/CNY) but beneath the Chinese average
   (0.24 kg/CNY). 71.72\%, 55.35\%, 65.34\% and 33.65\% of their emissions
   are imported from other regions. Generally, the four municipalities are
   net recipients of domestic carbon transfers and suppliers of foreign
   carbon transfers. Carbon transfers from Hebei to Beijing and Tianjin,
   Zhejiang to Shanghai, and Sichuan to Chongqing as well as from Beijing
   and Tianjin to Japan and South Korea and from Shanghai and Chongqing to
   the United States and Germany are identified in domestic and foreign
   supply chains. The multi-scale and multi-regional simulation and
   assessment in this work allows us to identify the carbon emissions not
   only within a city's boundaries but also via inter- and intra-national
   trade, providing a solid foundation for the carbon emission assessments
   of Chinese mega cities from an embodied perspective. (C) 2018 Elsevier
   Ltd. All rights reserved.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Li, Z (Corresponding Author), Peking Univ, Coll Engn, Lab Syst Ecol \& Sustainabil Sci, Beijing 100871, Peoples R China.
   Han, MY (Corresponding Author), Chinese Acad Sci, Inst Geog Sci \& Nat Resources Res, Beijing 100101, Peoples R China.
   Li, Y. L.; Chen, Bin; Li, Zhi, Peking Univ, Coll Engn, Lab Syst Ecol \& Sustainabil Sci, Beijing 100871, Peoples R China.
   Han, M. Y.; Dunford, Michael; Liu, Weidong, Chinese Acad Sci, Inst Geog Sci \& Nat Resources Res, Beijing 100101, Peoples R China.
   Han, M. Y.; Dunford, Michael; Liu, Weidong, Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China.
   Dunford, Michael, Univ Sussex, Sch Global Studies, Brighton BN1 9RH, E Sussex, England.}},
DOI = {{10.1016/j.jclepro.2018.04.230}},
ISSN = {{0959-6526}},
EISSN = {{1879-1786}},
Keywords = {{Chinese municipalities; Carbon transfers; Multi-scale; Multi-regional;
   Input-output analysis}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; URBAN-ECONOMY; INTERNATIONAL-TRADE; DRIVING
   FORCES; GHG EMISSIONS; CO2; CONSUMPTION; WATER; SECTOR; METHODOLOGY}},
Research-Areas = {{Science \& Technology - Other Topics; Engineering; Environmental
   Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Engineering, Environmental;
   Environmental Sciences}},
Author-Email = {{hanmy@igsnrr.ac.cn
   zhili@pku.edu.cn}},
ResearcherID-Numbers = {{Chen, Bin/E-1760-2017
   Dunford, Michael/J-8306-2019}},
ORCID-Numbers = {{Chen, Bin/0000-0001-8326-4551
   Dunford, Michael/0000-0002-0028-3130}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}41701135]; National Key Research and Development
   Program of China {[}2016YFA0602804]; Strategic Science and Technology
   Program {[}2017JL002]}},
Funding-Text = {{This work was supported by the National Natural Science Foundation of
   China (grant no. 41701135), the National Key Research and Development
   Program of China (grant no. 2016YFA0602804), and the Strategic Science
   and Technology Program (grand no. 2017JL002).y}},
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Number-of-Cited-References = {{60}},
Times-Cited = {{24}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{44}},
Journal-ISO = {{J. Clean Prod.}},
Doc-Delivery-Number = {{GJ8DL}},
Unique-ID = {{ISI:000435619400084}},
DA = {{2020-08-06}},
}

@article{ ISI:000441574100003,
Author = {Majeau-Bettez, Guillaume and Dandres, Thomas and Pauliuk, Stefan and
   Wood, Richard and Hertwich, Edgar and Samson, Rejean and Stromman,
   Anders Hammer},
Title = {{Choice of Allocations and Constructs for Attributional or Consequential
   Life Cycle Assessment and Input-Output Analysis}},
Journal = {{JOURNAL OF INDUSTRIAL ECOLOGY}},
Year = {{2018}},
Volume = {{22}},
Number = {{4}},
Pages = {{656-670}},
Month = {{AUG}},
Abstract = {{The divide between attributional and consequential research perspectives
   partly overlaps with the long-standing methodological discussions in the
   life cycle assessment (LCA) and input-output analysis (IO) research
   communities on the choice of techniques and models for dealing with
   situations of coproduction. The recent harmonization of LCA allocations
   and IO constructs revealed a more diverse set of coproduction models
   than had previously been understood. This increased flexibility and