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Number-of-Cited-References = {{47}},
Times-Cited = {{13}},
Usage-Count-Last-180-days = {{6}},
Usage-Count-Since-2013 = {{79}},
Journal-ISO = {{Environ. Sci. Pollut. Res.}},
Doc-Delivery-Number = {{GQ6BI}},
Unique-ID = {{ISI:000441784000087}},
DA = {{2020-08-06}},
}

@article{ ISI:000435052500001,
Author = {Ottelin, Juudit and Heinonen, Jukka and Junnila, Seppo},
Title = {{Carbon and material footprints of a welfare state: Why and how
   governments should enhance green investments}},
Journal = {{ENVIRONMENTAL SCIENCE \& POLICY}},
Year = {{2018}},
Volume = {{86}},
Pages = {{1-10}},
Month = {{AUG}},
Abstract = {{Sustainable development and climate change mitigation have become
   guiding policy principles in many welfare states. However, the
   traditional role of a welfare state is to guarantee the economic
   stability, jobs and welfare for its citizens. Sustainable development
   leans on the idea that we can have economic, social and environmental
   sustainability at the same time. This would require decoupling of
   economic growth from environmental degradation. Decoupling should be
   studied globally, because within nations, the economy can grow while
   local environmental impacts decrease, but at the same time, global
   environmental impacts may increase due to international trade. In this
   study, we examine the consumption-based carbon and material footprints
   of a Nordic welfare state, Finland. We focus on the environmental
   impacts of public spending, which has received little attention
   previously. In welfare states, the reallocation of public funds to
   services and individuals are at its core. In the study, we examine how
   this affects the carbon and material footprints of various income groups
   and household types. We find that the share of public services and
   investments is 19\% of the carbon footprint and 38\% of the material
   footprint per capita. Building of infrastructure plays a major role in
   composing the material footprint. We also find that the welfare state
   has important features that improve the carbon equity between the
   citizens. To achieve absolute decoupling, required to reduce
   environmental impacts caused by economic activities, we suggest policies
   promoting public and private green investments. In addition, increased
   carbon pricing would enhance green investments and drive environmental
   innovation.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Ottelin, J (Corresponding Author), Aalto Univ, Sch Engn, POB 14100, Aalto 00076, Finland.
   Ottelin, Juudit; Junnila, Seppo, Aalto Univ, Sch Engn, POB 14100, Aalto 00076, Finland.
   Ottelin, Juudit; Heinonen, Jukka, Univ Iceland, Fac Civil \& Environm Engn, Dunhagi 5, IS-107 Reykjavik, Iceland.}},
DOI = {{10.1016/j.envsci.2018.04.011}},
ISSN = {{1462-9011}},
EISSN = {{1873-6416}},
Keywords = {{Carbon footprint; Material footprint; Welfare state; Carbon equity;
   Green investments; Carbon pricing}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; DIFFERENT URBAN ZONES; GAS EMISSIONS; SUSTAINABLE
   DEVELOPMENT; UK HOUSEHOLDS; ENERGY; CONSUMPTION; TRADE; IMPACTS; NATIONS}},
Research-Areas = {{Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Environmental Sciences}},
Author-Email = {{juudit.ottelin@aalto.fi}},
ResearcherID-Numbers = {{Junnila, Seppo/G-2269-2013
   Ottelin, Juudit/AAA-8887-2019
   Heinonen, Jukka/K-6952-2015}},
ORCID-Numbers = {{Junnila, Seppo/0000-0002-2984-0383
   Ottelin, Juudit/0000-0003-0878-5108
   Heinonen, Jukka/0000-0002-7298-4999}},
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Number-of-Cited-References = {{76}},
Times-Cited = {{20}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{42}},
Journal-ISO = {{Environ. Sci. Policy}},
Doc-Delivery-Number = {{GJ1UD}},
Unique-ID = {{ISI:000435052500001}},
OA = {{Green Published, Other Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000438704200004,
Author = {O'Reilly, Christopher H. and Woollings, Tim and Zanna, Laure and
   Weisheimer, Antje},
Title = {{The Impact of Tropical Precipitation on Summertime Euro-Atlantic
   Circulation via a Circumglobal Wave Train}},
Journal = {{JOURNAL OF CLIMATE}},
Year = {{2018}},
Volume = {{31}},
Number = {{16}},
Pages = {{6481-6504}},
Month = {{AUG}},
Abstract = {{The influence of tropical precipitation variability on summertime
   seasonal circulation anomalies in the Euro-Atlantic sector is
   investigated. The dominant mode of the maximum covariance analysis (MCA)
   between the Euro-Atlantic circulation and tropical precipitation reveals
   a cyclonic anomaly over the extratropical North Atlantic, contributing
   to anomalously wet conditions over western Europe and dry conditions
   over eastern Europe and Scandinavia (in the positive phase). The related
   mode of tropical precipitation variability is associated with tropical
   Pacific SST anomalies and is closely linked to the El Nino-Southern
   Oscillation (ENSO). The second MCA mode consists of weaker tropical
   precipitation anomalies but with a stronger extratropical signal that
   reflects internal atmospheric variability. The teleconnection mechanism
   is tested in barotropic model simulations, which indicate that the
   observed link between the dominant mode of tropical precipitation and
   the Euro-Atlantic circulation anomalies is largely consistent with
   linear Rossby wave dynamics. The barotropic model response consists of a
   circumglobal wave train in the extratropics that is primarily forced by
   divergence anomalies in the eastern tropical Pacific. Both the eastward
   and westward group propagation of the Rossby waves are found to be
   important in determining the circulation response over the Euro-Atlantic
   sector. The mechanism was also analyzed in an operational seasonal
   forecasting system, ECMWF's System 4. While System 4 is well able to
   reproduce and skillfully forecast the tropical precipitation, the
   extratropical circulation response is absent over the Euro-Atlantic
   region, which is likely related to biases in the Asian jet stream.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{O'Reilly, CH (Corresponding Author), Univ Oxford, Dept Phys, Atmospher Ocean \& Planetary Phys, Oxford, England.
   O'Reilly, Christopher H.; Woollings, Tim; Zanna, Laure, Univ Oxford, Dept Phys, Atmospher Ocean \& Planetary Phys, Oxford, England.
   Weisheimer, Antje, Univ Oxford, European Ctr Medium Range Weather Forecasts, Oxford, England.
   Weisheimer, Antje, Univ Oxford, Natl Ctr Atmospher Sci, Dept Phys, Oxford, England.}},
DOI = {{10.1175/JCLI-D-17-0451.1}},
ISSN = {{0894-8755}},
EISSN = {{1520-0442}},
Keywords = {{Atmosphere-ocean interaction; Atmospheric circulation; Rossby waves;
   Teleconnections; Diabatic heating; Rainfall}},
Keywords-Plus = {{MULTIDECADAL OSCILLATION; GLOBAL PRECIPITATION; NORTH-AMERICAN; ENSO;
   PROPAGATION; CLIMATE; TELECONNECTIONS; VARIABILITY; ATMOSPHERE; PATTERNS}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{christopher.oreilly@physics.ox.ac.uk}},
ResearcherID-Numbers = {{Zanna, Laure/L-3169-2019
   }},
ORCID-Numbers = {{Zanna, Laure/0000-0002-8472-4828
   Weisheimer, Antje/0000-0002-7231-6974
   O'Reilly, Christopher/0000-0002-8630-1650}},
Funding-Acknowledgement = {{U.K. Natural Environment Research CouncilNERC Natural Environment
   Research Council {[}NE/M005887/1]; ECMWF special project}},
Funding-Text = {{We thank the three anonymous reviewers whose insightful comments greatly
   helped to improve the manuscript. We thank Cheikh Mbengue for useful
   comments that helped to shape this study. This work is part of the
   SummerTIME Project (NE/M005887/1), funded by the U.K. Natural
   Environment Research Council. GPCP data, NOAA ERSST V4 data, and
   NCEP-NCAR reanalysis data were all provided by the NOAA/OAR/ESRL PSD,
   Boulder, Colorado, from their website at http://www.esrl.noaa.gov/psd/.
   We are grateful to the European Centre for Medium-Range Weather
   Forecasts (ECMWF) for making the ERA-Interim reanalysis data and
   System-4 hindcast data available. This work is was also supported in
   part by the ECMWF special project awarded to COR, titled ``Assessing
   Sources of Seasonal Forecast Skill over Europe in Summer Using
   Relaxation Experiments.''}},
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Number-of-Cited-References = {{61}},
Times-Cited = {{11}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{7}},
Journal-ISO = {{J. Clim.}},
Doc-Delivery-Number = {{GN0XP}},
Unique-ID = {{ISI:000438704200004}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000439094900002,
Author = {Hirons, Linda and Turner, Andrew},
Title = {{The Impact of Indian Ocean Mean-State Biases in Climate Models on the
   Representation of the East African Short Rains}},
Journal = {{JOURNAL OF CLIMATE}},
Year = {{2018}},
Volume = {{31}},
Number = {{16}},
Pages = {{6611-6631}},
Month = {{AUG}},
Abstract = {{The role of the Indian Ocean dipole (IOD) in controlling interannual
   variability in the East African short rains, from October to December,
   is examined in state-of-the-art models and in detail in one particular
   climate model. In observations, a wet short-rainy season is associated
   with the positive phase of the IOD and anomalous easterly low-level flow
   across the equatorial Indian Ocean. A model's ability to capture the
   teleconnection to the positive IOD is closely related to its
   representation of the mean state. During the short-rains season, the
   observed low-level wind in the equatorial Indian Ocean is westerly.
   However, half of the models analyzed exhibit mean-state easterlies
   across the entire basin. Specifically, those models that exhibit
   mean-state low-level equatorial easterlies in the Indian Ocean, rather
   than the observed westerlies, are unable to capture the latitudinal
   structure of moisture advection into East Africa during a positive IOD.
   Furthermore, the associated anomalous easterly surface wind stress
   causes upwelling in the eastern Indian Ocean. This upwelling draws up
   cool subsurface waters, enhancing the zonal sea surface temperature
   gradient between west and east and strengthening the positive IOD
   pattern, further amplifying the easterly wind stress. This positive
   Bjerknes coupled feedback is stronger in easterly mean-state models,
   resulting in a wetter East African short-rain precipitation bias in
   those models.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Hirons, L (Corresponding Author), Univ Reading, Natl Ctr Atmospher Sci, Reading, Berks, England.
   Hirons, Linda; Turner, Andrew, Univ Reading, Natl Ctr Atmospher Sci, Reading, Berks, England.
   Turner, Andrew, Univ Reading, Dept Meteorol, Reading, Berks, England.}},
DOI = {{10.1175/JCLI-D-17-0804.1}},
ISSN = {{0894-8755}},
EISSN = {{1520-0442}},
Keywords = {{Africa; Indian Ocean; Advection; Teleconnections; Sea surface
   temperature; Climate models}},
Keywords-Plus = {{SEA-SURFACE TEMPERATURE; RAINFALL VARIABILITY; ZONAL CIRCULATIONS; KENYA
   RAINFALL; BOREAL AUTUMN; GREATER HORN; CMIP5; ANOMALIES; REANALYSIS;
   DIPOLE}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{l.c.hirons@reading.ac.uk}},
ResearcherID-Numbers = {{Turner, Andrew G/D-2286-2009
   }},
ORCID-Numbers = {{Turner, Andrew G/0000-0002-0642-6876
   Hirons, Linda/0000-0002-1189-7576}},
Funding-Acknowledgement = {{Natural Environment Research Council (NERC)-Department for International
   Development (DFID) as part of the Future Climate for Africa (FCFA)
   programme {[}NE/M017222/1]}},
Funding-Text = {{This work has been conducted for the Natural Environment Research
   Council (NERC)-Department for International Development (DFID)-funded
   Improving Model Processes for African Climate (IMPALA) project
   (NE/M017222/1), as part of the Future Climate for Africa (FCFA)
   programme. We acknowledge the World Climate Research Programme's Working
   Group on Coupled Modelling, which is responsible for CMIP, and we thank
   the climate modeling groups (listed in Table 2) for making available
   their model output.}},
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Number-of-Cited-References = {{50}},
Times-Cited = {{9}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{5}},
Journal-ISO = {{J. Clim.}},
Doc-Delivery-Number = {{GN5JV}},
Unique-ID = {{ISI:000439094900002}},
OA = {{Green Accepted}},
DA = {{2020-08-06}},
}

@article{ ISI:000441574100018,
Author = {Dias, Ana and Lemos, Diogo and Gabarrell, Xavier and Arroja, Luis},
Title = {{Comparison of Tools for Quantifying the Environmental Performance of an
   Urban Territory}},
Journal = {{JOURNAL OF INDUSTRIAL ECOLOGY}},
Year = {{2018}},
Volume = {{22}},
Number = {{4}},
Pages = {{868-880}},
Month = {{AUG}},
Abstract = {{To support effective urban policies aimed at decreasing the
   environmental impacts of cities, it is important to develop robust tools
   for accounting those impacts. Environmentally extended input-output
   analysis (EEIOA) is among the most used tools for this purpose, allowing
   the quantification of both direct and indirect impacts. Life cycle
   assessment (LCA) is also a holistic and comprehensive tool that accounts
   for direct and indirect impactsbut its application to cities is still
   very recent. This study aims at applying EEIOA and LCA to the
   municipality of Aveiro (Portugal) in order to compare the outcomes of
   the two tools in terms of total impacts (climate change and fossil fuel
   depletion) and hotspots (sectors/products contributing most to the
   impacts), to identify limitations and advantages of the tools when
   applied to Aveiro, and to illustrate how LCA can be applied to cities.
   The total impacts estimated with LCA and EEIOA were similar and the
   hotspots were also the same: transports, food, construction, and
   electricity. However, the relative contribution of some sectors was very
   different in the two tools due to methodological differences mainly in
   system boundaries, type of activities or products considered in each
   sector, and geographical coverage of impact data. This study concludes
   that the analyzed tools can provide complementary results to support
   decision making concerning urban planning and management.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Dias, A (Corresponding Author), Univ Aveiro, CESAM, Campus Univ Santiago, P-3810193 Aveiro, Portugal.
   Dias, A (Corresponding Author), Univ Aveiro, Dept Environm \& Planning, Campus Univ Santiago, P-3810193 Aveiro, Portugal.
   Dias, Ana; Arroja, Luis, Univ Aveiro, CESAM, Campus Univ Santiago, P-3810193 Aveiro, Portugal.
   Dias, Ana; Lemos, Diogo; Arroja, Luis, Univ Aveiro, Dept Environm \& Planning, Campus Univ Santiago, P-3810193 Aveiro, Portugal.
   Gabarrell, Xavier, Univ Autonoma Barcelona, Inst Environm Sci \& Technol ICTA, Sostenipra UAB IRTA Inedit, Barcelona, Spain.
   Gabarrell, Xavier, Univ Autonoma Barcelona, Dept Chem Engn, Barcelona, Spain.}},
DOI = {{10.1111/jiec.12614}},
ISSN = {{1088-1980}},
EISSN = {{1530-9290}},
Keywords = {{energy consumption; environmentally extended input-output analysis
   (EEIOA); greenhouse gas emissions; industrial ecology; life cycle
   assessment (LCA); material flow analysis (MFA)}},
Keywords-Plus = {{LIFE-CYCLE ASSESSMENT; DEMOLITION WASTE; LCA FRAMEWORK; CITY-SCALE;
   METABOLISM; CITIES; CONSTRUCTION; FOOTPRINT; GENERATION; MANAGEMENT}},
Research-Areas = {{Science \& Technology - Other Topics; Engineering; Environmental
   Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Engineering, Environmental;
   Environmental Sciences}},
Author-Email = {{acdias@ua.pt}},
ResearcherID-Numbers = {{Arroja, Luis M/E-4721-2019
   Durany, Xavier Gabarrell/F-5575-2011
   Dias, Ana Claudia/G-6148-2011
   }},
ORCID-Numbers = {{Durany, Xavier Gabarrell/0000-0003-1730-4337
   Dias, Ana Claudia/0000-0001-8881-3564
   Arroja, Luis/0000-0002-6067-4766}},
Funding-Acknowledgement = {{European Commission, through the Erasmus Mundus Program; FCT/MEC
   {[}UID/AMB/50017]; FEDER, within the PT2020 Partnership Agreement;
   FEDER, within the Compete 2020}},
Funding-Text = {{The financial support of the European Commission, through the Erasmus
   Mundus Program, is acknowledged for the master scholarship granted to
   Diogo Siqueira Lemos in the Joint European Master in Environmental
   Studies (JEMES). Thanks are due to FCT/MEC for the financial support to
   CESAM (UID/AMB/50017), through national funds, and the co-funding by
   FEDER, within the PT2020 Partnership Agreement and Compete 2020.}},
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Number-of-Cited-References = {{72}},
Times-Cited = {{4}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{21}},
Journal-ISO = {{J. Ind. Ecol.}},
Doc-Delivery-Number = {{GQ3OI}},
Unique-ID = {{ISI:000441574100018}},
DA = {{2020-08-06}},
}

@article{ ISI:000437396900017,
Author = {Shen, Liyin and Lou, Yingli and Huang, Yali and Chen, Jindao},
Title = {{A driving-driven perspective on the key carbon emission sectors in China}},
Journal = {{NATURAL HAZARDS}},
Year = {{2018}},
Volume = {{93}},
Number = {{1}},
Pages = {{349-371}},
Month = {{AUG}},
Abstract = {{Recognition of key emission sectors is crucial for carbon reduction.
   This study identifies key emission sectors and analyzes driving and
   driven effects of these sectors in the context of China. The
   Input-Output approach is used to identify key emission sectors. The data
   used for analysis are collected from Input-Output Table and Energy
   Statistical Yearbook issued by the National Bureau of Statistics of
   China for the period of 1990-2012. Three types of key emission sectors
   are classified in this study, namely overall key sectors,
   driving-dominant sectors, and driven-dominant sectors. The major overall
   key emission sectors include Coal Mining and Dressing; Petroleum
   Processing and Coking; Chemical Products; Metals Smelting and Pressing;
   Production and Supply of Electric Power, Gas and Water; and
   Transportation, Storage, Postal and Telecommunications Services. There
   is one driving-dominant sector, which is Nonmetal Mineral Products. The
   major driven-dominant sectors include Petroleum and Natural Gas
   Extraction; Wholesale, Retail Trade, Lodging and Catering Services; and
   Others (such as finance, property, research and development,
   entertainment, health, education, and public facilities). Suggestions
   from policy implications for emission reduction are proposed. The
   research findings provide important references for the Chinese
   government to adopt appropriate emission reduction measures,
   particularly in addressing these key emission sectors.}},
Publisher = {{SPRINGER}},
Address = {{233 SPRING ST, NEW YORK, NY 10013 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Lou, YL (Corresponding Author), Chongqing Univ, Sch Construct Management \& Real Estate, Int Res Ctr Sustainable Built Environm, Chongqing, Peoples R China.
   Shen, Liyin; Lou, Yingli; Huang, Yali, Chongqing Univ, Sch Construct Management \& Real Estate, Int Res Ctr Sustainable Built Environm, Chongqing, Peoples R China.
   Chen, Jindao, Tongji Univ, Sch Econ \& Management, Dept Construct Management \& Real Estate, Shanghai, Peoples R China.}},
DOI = {{10.1007/s11069-018-3304-1}},
ISSN = {{0921-030X}},
EISSN = {{1573-0840}},
Keywords = {{Industrial sectors; Key emission sectors; Driving and driven effects;
   Carbon emission reduction; Input-Output analysis; China}},
Keywords-Plus = {{TIME-SERIES DATA; COAL CONSUMPTION; ECONOMIC-GROWTH; CO2 EMISSION;
   ENERGY; DECOMPOSITION; REDUCTION; EVIDENCES; COUNTRY; SYSTEM}},
Research-Areas = {{Geology; Meteorology \& Atmospheric Sciences; Water Resources}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary; Meteorology \& Atmospheric Sciences;
   Water Resources}},
Author-Email = {{shenliyin@cqu.edu.cn
   20160302057t@cqu.edu.cn
   ylhuangyl@cqu.edu.cn
   chenjindao@tongji.edu.cn}},
ResearcherID-Numbers = {{Chen, Jindao/L-8522-2019}},
ORCID-Numbers = {{Chen, Jindao/0000-0002-6294-829X}},
Funding-Acknowledgement = {{National Social Science Foundation of China {[}15AZD025]}},
Funding-Text = {{Funding was provided by National Social Science Foundation of China
   (Grant No. 15AZD025).}},
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Number-of-Cited-References = {{54}},
Times-Cited = {{2}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{32}},
Journal-ISO = {{Nat. Hazards}},
Doc-Delivery-Number = {{GL7QL}},
Unique-ID = {{ISI:000437396900017}},
DA = {{2020-08-06}},
}

@article{ ISI:000446767700238,
Author = {Hou, Siyu and Liu, Yu and Zhao, Xu and Tillotson, Martin R. and Guo, Wei
   and Li, Yiping},
Title = {{Blue and Green Water Footprint Assessment for China-A Multi-Region
   Input-Output Approach}},
Journal = {{SUSTAINABILITY}},
Year = {{2018}},
Volume = {{10}},
Number = {{8}},
Month = {{AUG}},
Abstract = {{Research on blue and green water footprints (WF) for China has typically
   been carried out based on bottom-up and top-down approach using a
   single-region input-output table. However, this research typically lacks
   detail on the sectoral interrelationships which exist between China and
   its trading partners in other countries/regions of the world. Here, a
   multi-region input-output approach using the WIOD database was applied
   to quantify the blue and green WF for China in 2009. The quantification
   was conducted from both production (WFP) and consumption (WFC)
   perspectives. The results show that the total WFP for China in 2009 was
   1152.2 km(3), second only to India. At 1070.9 km(3), China had the
   largest WFC volume in the world. The internal WF was 953.5 km(3), taking
   the substantial share for both the WFC and WFP. Overall, China's trade
   resulted in a net export of 53.5 km(3) virtual water. In contrast, the
   agricultural sector resulted in a net import of 70.6 km(3) virtual water
   to China, with United States, Brazil, and Canada acting as major
   suppliers. This study suggests that quantifying the WF of China at
   global level through a MRIO framework is a necessary step towards
   achieving sustainability for China's water management.}},
Publisher = {{MDPI}},
Address = {{ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Zhao, X (Corresponding Author), Hohai Univ, Coll Environm, Key Lab Integrated Regulat \& Resource Dev Shallow, Minist Educ, Nanjing 210098, Jiangsu, Peoples R China.
   Liu, Y (Corresponding Author), Chinese Acad Sci, Inst Sci, Beijing 100190, Peoples R China.
   Liu, Y (Corresponding Author), Chinese Acad Sci, Inst Dev, Beijing 100190, Peoples R China.
   Liu, Y (Corresponding Author), Univ Chinese Acad Sci, Sch Publ Policy \& Management, Beijing 100049, Peoples R China.
   Hou, Siyu; Zhao, Xu; Li, Yiping, Hohai Univ, Coll Environm, Key Lab Integrated Regulat \& Resource Dev Shallow, Minist Educ, Nanjing 210098, Jiangsu, Peoples R China.
   Liu, Yu, Chinese Acad Sci, Inst Sci, Beijing 100190, Peoples R China.
   Liu, Yu, Chinese Acad Sci, Inst Dev, Beijing 100190, Peoples R China.
   Liu, Yu, Univ Chinese Acad Sci, Sch Publ Policy \& Management, Beijing 100049, Peoples R China.
   Tillotson, Martin R., Univ Leeds, Sch Civil Engn, Water Leeds, Leeds LS2 9JT, W Yorkshire, England.
   Guo, Wei, Southern Univ Sci \& Technol, Sch Environm Sci \& Engn, Shenzhen 518055, Peoples R China.}},
DOI = {{10.3390/su10082822}},
Article-Number = {{2822}},
EISSN = {{2071-1050}},
Keywords = {{water footprint; blue and green water; production and consumption
   perspectives; multi-region input-output analysis}},
Keywords-Plus = {{STRUCTURAL DECOMPOSITION ANALYSIS; VIRTUAL WATER; INTERNATIONAL-TRADE;
   RIVER-BASIN; CROP PRODUCTION; PART 2; CONSUMPTION; RESOURCES; IMPACT;
   POLICY}},
Research-Areas = {{Science \& Technology - Other Topics; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Environmental Sciences;
   Environmental Studies}},
Author-Email = {{kfqhousiyu@163.com
   liuyu@casipm.ac.cn
   xuzhao@hhu.edu.cn
   m.r.tillotson@leeds.ac.uk
   guow@sustc.edu.cn
   liuyu@casipm.ac.cn}},
ResearcherID-Numbers = {{Zhao, Xu/A-6972-2015
   }},
ORCID-Numbers = {{Zhao, Xu/0000-0002-7461-852X
   liu, yu/0000-0003-4605-0110
   Tillotson, Martin/0000-0002-3362-021X
   Hou, Siyu/0000-0003-1465-3531}},
Funding-Acknowledgement = {{National Key Research and Development Program of China
   {[}2016YFA0602500]; Fundamental Research Funds for the Central
   UniversitiesFundamental Research Funds for the Central Universities
   {[}2016B13814]; Fund of Hohai University for Undergraduate on Innovation
   and Entrepreneurship Training Program {[}2018102941096]}},
Funding-Text = {{This research was funded by The National Key Research and Development
   Program of China (grant no. 2016YFA0602500), the Fundamental Research
   Funds for the Central Universities (grant no. 2016B13814) and the Fund
   of Hohai University for Undergraduate on Innovation and Entrepreneurship
   Training Program (2018102941096).}},
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Number-of-Cited-References = {{49}},
Times-Cited = {{7}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{11}},
Journal-ISO = {{Sustainability}},
Doc-Delivery-Number = {{GW3CI}},
Unique-ID = {{ISI:000446767700238}},
OA = {{DOAJ Gold, Green Published}},
DA = {{2020-08-06}},
}

@article{ ISI:000441445000014,
Author = {Picek, Oliver and Schroder, Enno},
Title = {{Spillover effects of Germany's final demand on Southern Europe}},
Journal = {{WORLD ECONOMY}},
Year = {{2018}},
Volume = {{41}},
Number = {{8, SI}},
Pages = {{2216-2242}},
Month = {{AUG}},
Abstract = {{We use data from the World Input-Output Database to fit a closed
   multiregional input-output model in order to estimate the size of
   spillover effects of Germany's final demand on GDP, employment and the
   trade balance in Southern European countries. We find that spillover
   effects are rather small. Germany alone will hardly make a significant
   contribution to the external adjustment process in the European South.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Picek, O (Corresponding Author), Vienna Univ Econ \& Business, Dept Econ, Vienna, Austria.
   Picek, Oliver, Vienna Univ Econ \& Business, Dept Econ, Vienna, Austria.
   Schroder, Enno, Delft Univ Technol, Fac Technol Policy \& Management, Delft, Netherlands.}},
DOI = {{10.1111/twec.12635}},
ISSN = {{0378-5920}},
EISSN = {{1467-9701}},
Keywords = {{adjustment; effects; euro area; external; global value chains;
   input-output analysis; macroeconomic imbalances; spillover}},
Research-Areas = {{Business \& Economics; International Relations}},
Web-of-Science-Categories  = {{Business, Finance; Economics; International Relations}},
ORCID-Numbers = {{Schroder, Enno/0000-0001-5019-8228}},
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Number-of-Cited-References = {{33}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{4}},
Journal-ISO = {{World Econ.}},
Doc-Delivery-Number = {{GQ1ZZ}},
Unique-ID = {{ISI:000441445000014}},
OA = {{Green Published, Other Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000446604100099,
Author = {Saprykina, Yana and Kuznetsov, Sergey},
Title = {{Analysis of the Variability of Wave Energy Due to Climate Changes on the
   Example of the Black Sea}},
Journal = {{ENERGIES}},
Year = {{2018}},
Volume = {{11}},
Number = {{8}},
Month = {{AUG}},
Abstract = {{An analysis of the variability of wave climate and energy within the
   Black Sea for the period 1960-2011 was made using field data from the
   Voluntary Observing Ship Program. Methods using wavelet analysis were
   applied. It was determined that the power flux of wave energy in the
   Black Sea fluctuates: the highest value is 4.2 kW/m, the lowest is 1.4
   kW/m. Results indicate significant correlations among the fluctuations
   of the average annual wave heights, periods, the power flux of wave
   energy, and teleconnection patterns of the North Atlantic Oscillation
   (NAO), the Atlantic Multi-decadal Oscillation (AMO), the Pacific Decadal
   Oscillation (PDO) and the East Atlantic/West Russia (EA/WR). It was
   revealed that, in positive phases of long-term periods of AMO (50-60
   years) as well as PDO, NAO, and AO (40 years), a decrease of wave energy
   was observed; however, an increase in wave energy was observed in the
   positive phase of a 15-year period of NAO and AO. The positive phase of
   changes of EA/WR for periods 50-60, 20-25, and 13 years led to an
   increase of wave energy. The approximation functions of the oscillations
   of the average annual wave heights, periods, and the power flux of wave
   energy for the Black Sea are proposed.}},
Publisher = {{MDPI}},
Address = {{ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Saprykina, Y (Corresponding Author), Russian Acad Sci, Shirshov Inst Oceanol, Moscow 117997, Russia.
   Saprykina, Yana; Kuznetsov, Sergey, Russian Acad Sci, Shirshov Inst Oceanol, Moscow 117997, Russia.}},
DOI = {{10.3390/en11082020}},
Article-Number = {{2020}},
ISSN = {{1996-1073}},
Keywords = {{wave energy; wave climate variability; wavelet analysis; teleconnection
   patterns}},
Keywords-Plus = {{VISUAL OBSERVATIONS; WIND; PATTERNS; STORMS; COAST}},
Research-Areas = {{Energy \& Fuels}},
Web-of-Science-Categories  = {{Energy \& Fuels}},
Author-Email = {{saprykina@ocean.ru
   kuznetsov@ocean.ru}},
ResearcherID-Numbers = {{Saprykina, Yana/F-7556-2014
   Kuznetsov, Sergey/C-6311-2014}},
ORCID-Numbers = {{Saprykina, Yana/0000-0003-0357-0773
   Kuznetsov, Sergey/0000-0003-1391-1703}},
Funding-Acknowledgement = {{Russian Foundation for Basic ResearchRussian Foundation for Basic
   Research (RFBR) {[}16-55-76002 ERA\_a]}},
Funding-Text = {{The work was partly supported by the Russian Foundation for Basic
   Research (grant No. 16-55-76002 ERA\_a) in the frame of BS STEMA
   project.}},
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Number-of-Cited-References = {{30}},
Times-Cited = {{5}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{1}},
Journal-ISO = {{Energies}},
Doc-Delivery-Number = {{GW1BJ}},
Unique-ID = {{ISI:000446604100099}},
OA = {{DOAJ Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000445713500050,
Author = {Bagheri, Mehdi and Guevara, Zeus and Alikarami, Mohammad and Kennedy,
   Christopher A. and Doluweera, Ganesh},
Title = {{Green growth planning: A multi-factor energy input-output analysis of
   the Canadian economy}},
Journal = {{ENERGY ECONOMICS}},
Year = {{2018}},
Volume = {{74}},
Pages = {{708-720}},
Month = {{AUG}},
Abstract = {{Incorporating socioeconomic and environmental considerations into energy
   decisions is necessary when tackling climate change and accelerating
   green growth. In this work, we propose a novel extension of the
   multi-factor energy input-output model to support evidence-informed
   energy policy-making and green growth planning through the introduction
   of eight different multipliers and two green growth indexes. We
   demonstrate the approach through application at the national scale in
   Canada. In particular, we quantitatively assess the extent to which
   changes in final demand impact the domestic and imported primary (and
   renewable) energy flows, CO2 emissions, economic expansion, and energy
   job earnings. The results point to a potential path of green growth in
   Canada, prioritizing activities that generate economic and job growth at
   minimal environmental pressure (i.e., fewer CO2 emissions). Economic
   activities that are critical for stimulating green growth in the short
   to medium run are identified, and recommendations are made regarding a
   longer structural change path for improving the supply chains of other
   economic activities. This work provides insights to decision-makers
   seeking strategies (e.g., policy reforms or targeted public expenditure
   strategies) to accelerate green growth planning on a national scale. (C)
   2018 Elsevier B.V. All rights reserved.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Bagheri, M (Corresponding Author), Univ Victoria, Dept Civil Engn, Victoria, BC V8W 2Y2, Canada.
   Bagheri, Mehdi; Kennedy, Christopher A., Univ Victoria, Dept Civil Engn, Victoria, BC V8W 2Y2, Canada.
   Guevara, Zeus, Inst Tecnol \& Estudios Super Monterrey, Sch Govt \& Publ Transformat, Mexico City 01389, DF, Mexico.
   Alikarami, Mohammad, Univ Victoria, Dept Chem, Victoria, BC V8W 2Y2, Canada.
   Doluweera, Ganesh, Canadian Energy Res Inst, Calgary, AB T2L 2A6, Canada.}},
DOI = {{10.1016/j.eneco.2018.07.015}},
ISSN = {{0140-9883}},
EISSN = {{1873-6181}},
Keywords = {{Green growth planning; Green economy; Canada; Energy input-output
   analysis; Primary energy; Renewable energy}},
Keywords-Plus = {{STRUCTURAL DECOMPOSITION ANALYSIS; CARBON EMISSIONS; DRIVING FORCES;
   CHINA EXPORTS; TRADE; MULTIPLIERS; TECHNOLOGY; METABOLISM; FOOTPRINT;
   SCENARIOS}},
Research-Areas = {{Business \& Economics}},
Web-of-Science-Categories  = {{Economics}},
Author-Email = {{Mbagheri@uvic.ca}},
ResearcherID-Numbers = {{Guevara, Zeus/F-1628-2016
   }},
ORCID-Numbers = {{Guevara, Zeus/0000-0002-1254-8423
   Doluweera, Ganesh/0000-0001-9478-4747}},
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