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Number-of-Cited-References = {{138}},
Times-Cited = {{12}},
Usage-Count-Last-180-days = {{4}},
Usage-Count-Since-2013 = {{12}},
Journal-ISO = {{Clim. Past.}},
Doc-Delivery-Number = {{FY5VH}},
Unique-ID = {{ISI:000426904500001}},
OA = {{DOAJ Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000426707100031,
Author = {Yu, Bin and Lin, H. and Wu, Z. W. and Merryfield, W. J.},
Title = {{The Asian-Bering-North American teleconnection: seasonality,
   maintenance, and climate impact on North America}},
Journal = {{CLIMATE DYNAMICS}},
Year = {{2018}},
Volume = {{50}},
Number = {{5-6}},
Pages = {{2023-2038}},
Month = {{MAR}},
Abstract = {{The Asian-Bering-North American (ABNA) teleconnection index is
   constructed from the normalized 500-hPa geopotential field by excluding
   the Pacific-North American pattern contribution. The ABNA pattern
   features a zonally elongated wavetrain originating from North Asia and
   flowing downstream across Bering Sea and Strait towards North America.
   The large-scale teleconnection is a year-round phenomenon that displays
   strong seasonality with the peak variability in winter. North American
   surface temperature and temperature extremes, including warm days and
   nights as well as cold days and nights, are significantly controlled by
   this teleconnection. The ABNA pattern has an equivalent barotropic
   structure in the troposphere and is supported by synoptic-scale eddy
   forcing in the upper troposphere. Its associated sea surface temperature
   anomalies exhibit a horseshoe-shaped structure in the North Pacific,
   most prominent in winter, which is driven by atmospheric circulation
   anomalies. The snow cover anomalies over the West Siberian plain and
   Central Siberian Plateau in autumn and spring and over southern Siberia
   in winter may act as a forcing influence on the ABNA pattern. The snow
   forcing influence in winter and spring can be traced back to the
   preceding season, which provides a predictability source for this
   teleconnection and for North American temperature variability. The ABNA
   associated energy budget is dominated by surface longwave radiation
   anomalies year-round, with the temperature anomalies supported by
   anomalous downward longwave radiation and damped by upward longwave
   radiation at the surface.}},
Publisher = {{SPRINGER}},
Address = {{233 SPRING ST, NEW YORK, NY 10013 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Yu, B (Corresponding Author), Environm \& Climate Change Canada, Div Climate Res, 4905 Dufferin St, Toronto, ON M3H 5T4, Canada.
   Yu, Bin, Environm \& Climate Change Canada, Div Climate Res, 4905 Dufferin St, Toronto, ON M3H 5T4, Canada.
   Lin, H., Environm \& Climate Change Canada, Meteorol Res Div, Dorval, PQ, Canada.
   Wu, Z. W., Fudan Univ, Inst Atmospher Sci, Shanghai, Peoples R China.
   Merryfield, W. J., Environm \& Climate Change Canada, Canadian Ctr Climate Modelling \& Anal, Victoria, BC, Canada.}},
DOI = {{10.1007/s00382-017-3734-6}},
ISSN = {{0930-7575}},
EISSN = {{1432-0894}},
Keywords-Plus = {{SNOW COVER; ATMOSPHERIC CIRCULATION; ATLANTIC OSCILLATION;
   UNITED-STATES; EL-NINO; SOUTHERN OSCILLATION; WINTER TEMPERATURES;
   VARIABILITY; HEMISPHERE; ENSO}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{Bin.Yu@canada.ca}},
ResearcherID-Numbers = {{Yu, Bin/N-4021-2019
   }},
ORCID-Numbers = {{Lin, Hai/0000-0003-4353-0426
   Yu, Bin/0000-0002-3706-8194}},
Funding-Acknowledgement = {{Ministry of Science and Technology of ChinaMinistry of Science and
   Technology, China {[}2016YFA0601801]; National Natural Science
   Foundation of ChinaNational Natural Science Foundation of China
   {[}91437216]}},
Funding-Text = {{Data analyzed in this study are described in Sect. 2. We thank Y. Feng
   for help with graphing. Z. W. Wu is supported by the Ministry of Science
   and Technology of China (Grant No. 2016YFA0601801) and the National
   Natural Science Foundation of China (Grant No. 91437216). We thank two
   anonymous reviewers for their constructive suggestions and advice, which
   considerably improved the paper.}},
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Number-of-Cited-References = {{60}},
Times-Cited = {{5}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{11}},
Journal-ISO = {{Clim. Dyn.}},
Doc-Delivery-Number = {{FY3GP}},
Unique-ID = {{ISI:000426707100031}},
OA = {{Other Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000429753500007,
Author = {Chen, Yini and Zhu, Zhiwei and Luo, Ling and Zhang, Jiwei},
Title = {{Severe haze in Hangzhou in winter 2013/14 and associated meteorological
   anomalies}},
Journal = {{DYNAMICS OF ATMOSPHERES AND OCEANS}},
Year = {{2018}},
Volume = {{81}},
Pages = {{73-83}},
Month = {{MAR}},
Abstract = {{Aerosol pollution over eastern China has worsened considerably in recent
   years, resulting in heavy haze weather with low visibility and poor air
   quality. The present study investigates the characteristics of haze
   weather in Hangzhou city, and aims to unravel the meteorological
   anomalies associated with the heavy haze that occurred over Hangzhou in
   winter 2013/14.
   On the interannual timescale, because of the neutral condition of
   tropical sea surface temperature anomalies during winter 2013/14, no
   significant circulation and convection anomalies were induced over East
   Asia, leading to a stable atmospheric condition favorable for haze
   weather in Hangzhou. Besides, the shift of the polar vortex, caused by
   changes in surface temperature and ice cover at high latitudes, induced
   a barotropic anomalous circulation dipole pattern. The southerly anomaly
   associated with this anomalous dipole pattern hindered the
   transportation of cold/clear air mass from Siberia to central-eastern
   China, leading to abnormal haze during winter 2013/14 in Hangzhou.
   On the intraseasonal timescale, an eastward-propagating mid-latitude
   Rossby wave train altered the meridional wind anomaly over East Asia,
   causing the intraseasonal variability of haze weather during 2013/14 in
   Hangzhou. (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 = {{Zhu, ZW (Corresponding Author), Nanjing Univ Informat Sci \& Technol, CIC FEMD, Joint Int Res Lab Climate \& Environm Change ILCEC, Key Lab Meteorol Disaster,Minist Educ KLME, Nanjing, Jiangsu, Peoples R China.
   Chen, Yini; Luo, Ling, Zhejiang Meteorol Observ, Hangzhou, Zhejiang, Peoples R China.
   Zhu, Zhiwei, Nanjing Univ Informat Sci \& Technol, CIC FEMD, Joint Int Res Lab Climate \& Environm Change ILCEC, Key Lab Meteorol Disaster,Minist Educ KLME, Nanjing, Jiangsu, Peoples R China.
   Zhang, Jiwei, Zhejiang Meteorol Bur, Hangzhou, Zhejiang, Peoples R China.}},
DOI = {{10.1016/j.dynatmoce.2018.01.002}},
ISSN = {{0377-0265}},
EISSN = {{1872-6879}},
Keywords = {{Severe haze; Hangzhou; Interannual; Intraseasonal; Physical mechanism}},
Keywords-Plus = {{CHINA; SUMMER; TELECONNECTION; PACIFIC; PM2.5; VARIABILITY; POLLUTION;
   FORECAST; PM10; FOG}},
Research-Areas = {{Geochemistry \& Geophysics; Meteorology \& Atmospheric Sciences;
   Oceanography}},
Web-of-Science-Categories  = {{Geochemistry \& Geophysics; Meteorology \& Atmospheric Sciences;
   Oceanography}},
Author-Email = {{zwz@nuist.edu.cn}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}41605035, 41405047]; Meteorological Science and
   Technology Project of Zhejiang Province {[}2015ZD07/2017ZD11]; Startup
   Foundation for Introducing Talent of NUIST; Priority Academic Program
   Development of Jiangsu Higher Education Institutions (PAPD)}},
Funding-Text = {{This work was supported by the National Natural Science Foundation of
   China (grant nos. 41605035 and 41405047), the Meteorological Science and
   Technology Project of Zhejiang Province (2015ZD07/2017ZD11), the Startup
   Foundation for Introducing Talent of NUIST, and the Priority Academic
   Program Development of Jiangsu Higher Education Institutions (PAPD).}},
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Number-of-Cited-References = {{37}},
Times-Cited = {{6}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{15}},
Journal-ISO = {{Dyn. Atmos. Oceans}},
Doc-Delivery-Number = {{GC4KN}},
Unique-ID = {{ISI:000429753500007}},
DA = {{2020-08-06}},
}

@article{ ISI:000424693100003,
Author = {Aydin, Levent},
Title = {{Effects of increasing indigenous coal share in Turkey's electricity
   generation mix on key economic and environmental indicators: An extended
   input-output analysis}},
Journal = {{ENERGY EXPLORATION \& EXPLOITATION}},
Year = {{2018}},
Volume = {{36}},
Number = {{2}},
Pages = {{230-245}},
Month = {{MAR}},
Abstract = {{The aim of this paper is to evaluate the economic and environmental
   effects of increasing indigenous coal share in electricity generation by
   using extended input-output analysis. The policy scenario is a \$1
   million increase in demand for investment in the coal mining sector. In
   order to analyze this policy option, we specifically developed an
   extended input-output analysis associated with disaggregating the
   electricity sector into electricity generation transmission and
   distribution and the mining sector into coal and oil-gas mining.
   Furthermore, we use a range of key economic and environmental indicators
   to evaluate the effects of increasing indigenous coal production on
   these indicators. The results indicate that the \$1 million increase in
   final demand for indigenous coal produces an increase in economic output
   for all sectors of \$1,389,241 and an increase in total greenhouse gases
   of 229,572 CO2-equivalents (kg CO2-e) as well.}},
Publisher = {{SAGE PUBLICATIONS INC}},
Address = {{2455 TELLER RD, THOUSAND OAKS, CA 91320 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Aydin, L (Corresponding Author), Social Sci Univ Ankara, Dept Econ, Ankara, Turkey.
   Aydin, Levent, Social Sci Univ Ankara, Dept Econ, Ankara, Turkey.}},
DOI = {{10.1177/0144598717737694}},
ISSN = {{0144-5987}},
EISSN = {{2048-4054}},
Keywords = {{Indigenous coal use; greenhouse gases; air pollution; input-output
   analysis; Turkey's economy}},
Keywords-Plus = {{GREENHOUSE-GAS EMISSIONS; LIFE-CYCLE ASSESSMENT; ENERGY; GUIDE;
   REQUIREMENTS; TECHNOLOGIES; SYSTEMS; PRODUCT}},
Research-Areas = {{Energy \& Fuels}},
Web-of-Science-Categories  = {{Energy \& Fuels}},
Author-Email = {{leventaydin60@gmail.com}},
ORCID-Numbers = {{Aydin, Levent/0000-0001-8179-7418}},
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Number-of-Cited-References = {{34}},
Times-Cited = {{4}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{7}},
Journal-ISO = {{Energy Explor. Exploit.}},
Doc-Delivery-Number = {{FV6LS}},
Unique-ID = {{ISI:000424693100003}},
OA = {{Other Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000427578400005,
Author = {Croner, Daniel and Frankovic, Ivan},
Title = {{A Structural Decomposition Analysis of Global and National Energy
   Intensity Trends}},
Journal = {{ENERGY JOURNAL}},
Year = {{2018}},
Volume = {{39}},
Number = {{2}},
Pages = {{103-122}},
Month = {{MAR}},
Abstract = {{This paper analyses recent energy intensity trends for 40 major
   economies using a structural decomposition analysis. Our focus lies on
   the question whether improvements in energy intensity were caused by
   structural change towards a greener economy or by technological
   improvements. We account for intersectoral trade by using the World
   Input-Output database and adjust sectoral energy use via the
   environmentally extended input-output analysis. We find strong
   differences between consumption and production-based energy consumption
   across sectors, particularly in the construction and electricity
   industry. Using the three factor Logarithmic Mean Divisia Index method,
   our decomposition analysis shows that recent energy intensity reductions
   were mostly driven by technological advances. Structural changes within
   countries played only a minor role, whereas international trade by
   itself even increased global energy intensity. Compared to a previous
   study only using production-based sectoral energy data, we find
   structural effects on energy intensity reductions to be systematically
   weaker under consumption-based data.}},
Publisher = {{INT ASSOC ENERGY ECONOMICS}},
Address = {{28790 CHAGRIN BLVD, STE 210, CLEVELAND, OH 44122 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Croner, D (Corresponding Author), Univ Vienna, Fac Business Econ \& Stat, Vienna, Austria.
   Croner, Daniel, Univ Vienna, Fac Business Econ \& Stat, Vienna, Austria.
   Frankovic, Ivan, WU, IIASA, VID OAW, Wittgenstein Ctr, Vienna, Austria.
   Frankovic, Ivan, Vienna Inst Demog, Vienna, Austria.}},
DOI = {{10.5547/01956574.39.2.dcro}},
ISSN = {{0195-6574}},
EISSN = {{1944-9089}},
Keywords = {{Energy Intensity; Logarithmic mean Divisia Index Decomposition; WIOD
   Database; Leontief Inverse}},
Keywords-Plus = {{EMISSION TRANSFERS; GROWTH; INPUT; TRADE}},
Research-Areas = {{Business \& Economics; Energy \& Fuels; Environmental Sciences \&
   Ecology}},
Web-of-Science-Categories  = {{Economics; Energy \& Fuels; Environmental Studies}},
Author-Email = {{daniel.croner@univie.ac.at}},
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Number-of-Cited-References = {{34}},
Times-Cited = {{9}},
Usage-Count-Last-180-days = {{4}},
Usage-Count-Since-2013 = {{28}},
Journal-ISO = {{Energy J.}},
Doc-Delivery-Number = {{FZ4RB}},
Unique-ID = {{ISI:000427578400005}},
DA = {{2020-08-06}},
}

@article{ ISI:000426607700046,
Author = {Sabziparvar, Ali Akbar and Jahromi, Fatemeh Khoshhal},
Title = {{Analysis of changes in thermal growing season indices (tGSI) and their
   relations with some selected atmospheric teleconnection patterns (ATPs)
   over the northwest of Iran}},
Journal = {{ENVIRONMENTAL MONITORING AND ASSESSMENT}},
Year = {{2018}},
Volume = {{190}},
Number = {{3}},
Month = {{MAR}},
Abstract = {{The daily minimumair temperature data from 18 stations located in the
   northwest of Iran during the period 1986-2015 was used to analyse the
   inter-annual variations and trends of thermal growing season indices
   (tGSI) and their relations with different atmospheric teleconnection
   patterns (ATPs). To analyze the changes in tGSI, tGSS (thermal growing
   season start), tGSE (thermal growing season end), and tGSL, the time
   period between tGSS and tGSE were considered. Using non-parametric
   Mann-Kendall and Spearman tests, the existence of a significant trend
   for time series of the tGSI and the correlation between ATPs and tGSI
   was evaluated. For eliminating the effect of serial correlation on test
   results, the trend-free pre-whitening approach was applied. Furthermore,
   residual bootstrap method was used to estimate the standard deviation of
   the Spearman correlation coefficient between tGSI and ATPs. The
   climate-based results showed the maximum tGSL increase (13.3 days per
   decade) for SA-C-M climate. For SH-K-W climate, the maximum significant
   trends for tGSS and tGSE were 9.6 (earlier start) and 10.8 (delay) days
   per decade, respectively. In general, in all statistically significant
   cases, the main cause of the extended tGSL was both earlier tGSS and
   delayed tGSE. In regional scale, it was found that the most effective
   teleconnection pattern on tGSS and tGSE are MEI (positive correlation),
   occurring during late winter and spring, and PDO index (negative
   correlation) in the summer, respectively. Moreover, the tGSL
   demonstrated the highest correlation (negative) with PDO with 1-month
   delay. The findings highlight that the inter-annual variations of tGSI
   in northwest of Iran can be attributed to the influence of certain
   atmospheric teleconnection patterns such as MEI, PDO, NAO, AO, EA, and
   AMO.}},
Publisher = {{SPRINGER}},
Address = {{VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Sabziparvar, AA (Corresponding Author), Bu Ali Sina Univ, Fac Agr, Water Engn Dept, Hamadan, Iran.
   Sabziparvar, Ali Akbar; Jahromi, Fatemeh Khoshhal, Bu Ali Sina Univ, Fac Agr, Water Engn Dept, Hamadan, Iran.}},
DOI = {{10.1007/s10661-018-6519-4}},
Article-Number = {{142}},
ISSN = {{0167-6369}},
EISSN = {{1573-2959}},
Keywords = {{Late spring frost; Atmospheric teleconnection indices; Trend; Time lag}},
Keywords-Plus = {{3-RIVERS HEADWATER REGION; ATLANTIC OSCILLATION; AIR-TEMPERATURE;
   MANN-KENDALL; TRENDS; VARIABILITY; CIRCULATION; STREAMFLOW; FREQUENCY;
   EUROPE}},
Research-Areas = {{Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Environmental Sciences}},
Author-Email = {{swsabzi@basu.ac.ir}},
ORCID-Numbers = {{Sabziparvar, Ali-Akbar/0000-0002-0370-309X}},
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Number-of-Cited-References = {{79}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{Environ. Monit. Assess.}},
Doc-Delivery-Number = {{FY1XT}},
Unique-ID = {{ISI:000426607700046}},
DA = {{2020-08-06}},
}

@article{ ISI:000434848400001,
Author = {Dannenberg, Matthew P. and Wise, Erika K. and Janko, Mark and Hwang,
   Taehee and Smith, W. Kolby},
Title = {{Atmospheric teleconnection influence on North American land surface
   phenology}},
Journal = {{ENVIRONMENTAL RESEARCH LETTERS}},
Year = {{2018}},
Volume = {{13}},
Number = {{3}},
Month = {{MAR}},
Abstract = {{Short-term forecasts of vegetation activity are currently not well
   constrained due largely to our lack of understanding of coupled
   climate-vegetation dynamics mediated by complex interactions between
   atmospheric teleconnection patterns. Using ecoregion-scale estimates of
   North American vegetation activity inferred from remote sensing
   (1982-2015), we examined seasonal and spatial relationships between land
   surface phenology and the atmospheric components of five teleconnection
   patterns over the tropical Pacific, north Pacific, and north Atlantic.
   Using a set of regression experiments, we also tested for interactions
   among these teleconnection patterns and assessed predictability of
   vegetation activity solely based on knowledge of atmospheric
   teleconnection indices.
   Autumn-to-winter composites of the Southern Oscillation Index (SOI) were
   strongly correlated with start of growing season timing, especially in
   the Pacific Northwest. The two leading modes of north Pacific
   variability (the Pacific-North American, PNA, and West Pacific patterns)
   were significantly correlated with start of growing season timing across
   much of southern Canada and the upper Great Lakes. Regression models
   based on these Pacific teleconnections were skillful predictors of
   spring phenology across an east-west swath of temperate and boreal North
   America, between 40 degrees N-60 degrees N. While the North Atlantic
   Oscillation (NAO) was not strongly correlated with start of growing
   season timing on its own, we found compelling evidence of widespread
   NAO-SOI and NAO-PNA interaction effects. These results suggest that
   knowledge of atmospheric conditions over the Pacific and Atlantic Oceans
   increases the predictability of North American spring phenology. A more
   robust consideration of the complexity of the atmospheric circulation
   system, including interactions across multiple ocean basins, is an
   important step towards accurate forecasts of vegetation activity.}},
Publisher = {{IOP PUBLISHING LTD}},
Address = {{TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Dannenberg, MP (Corresponding Author), Univ Arizona, Sch Nat Resources \& Environm, Tucson, AZ 85721 USA.
   Dannenberg, MP (Corresponding Author), Univ N Carolina, Dept Geog, Chapel Hill, NC 27599 USA.
   Dannenberg, Matthew P.; Smith, W. Kolby, Univ Arizona, Sch Nat Resources \& Environm, Tucson, AZ 85721 USA.
   Dannenberg, Matthew P.; Wise, Erika K., Univ N Carolina, Dept Geog, Chapel Hill, NC 27599 USA.
   Janko, Mark, Duke Univ, Nicholas Sch Environm, Durham, NC 27708 USA.
   Janko, Mark, Duke Univ, Global Hlth Inst, Durham, NC USA.
   Hwang, Taehee, Indiana Univ, Dept Geog, Bloomington, IN 47405 USA.}},
DOI = {{10.1088/1748-9326/aaa85a}},
Article-Number = {{034029}},
ISSN = {{1748-9326}},
Keywords = {{land surface phenology; remote sensing; El Nino Southern Oscillation;
   teleconnection interactions; North Atlantic Oscillation; Pacific North
   American pattern; spring onset}},
Keywords-Plus = {{EL-NINO; ATLANTIC OSCILLATION; VEGETATION DYNAMICS; CARBON; CO2;
   PRECIPITATION; VARIABILITY; CLIMATE; SEASON; PRODUCTIVITY}},
Research-Areas = {{Environmental Sciences \& Ecology; Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Environmental Sciences; Meteorology \& Atmospheric Sciences}},
Author-Email = {{dannenberg@email.arizona.edu}},
ResearcherID-Numbers = {{Wise, Erika K/A-5858-2012
   Dannenberg, Matthew/G-8826-2016}},
ORCID-Numbers = {{Wise, Erika K/0000-0002-1712-7476
   Dannenberg, Matthew/0000-0002-6518-4897}},
Funding-Acknowledgement = {{NSF Paleo Perspectives on Climate Change (P2C2) grant {[}1304422]}},
Funding-Text = {{This research was supported by NSF Paleo Perspectives on Climate Change
   (P2C2) grant 1304422. We thank the GIMMS team for providing the
   normalized difference vegetation index product, NOAA for providing the
   teleconnection indices, and the EPA for providing the Level 3 ecoregion
   dataset. We also thank three anonymous reviewers for comments that
   improved this manuscript.}},
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Number-of-Cited-References = {{69}},
Times-Cited = {{6}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{2}},
Journal-ISO = {{Environ. Res. Lett.}},
Doc-Delivery-Number = {{GI9ME}},
Unique-ID = {{ISI:000434848400001}},
OA = {{DOAJ Gold, Green Published}},
DA = {{2020-08-06}},
}

@article{ ISI:000425157200007,
Author = {Liu, Siyuan and Han, Mengyao and Wu, Xudong and Wu, Xiaofang and Li, Zhi
   and Xia, Xiaohua and Ji, Xi},
Title = {{Embodied water analysis for Hebei Province, China by input-output
   modelling}},
Journal = {{FRONTIERS OF EARTH SCIENCE}},
Year = {{2018}},
Volume = {{12}},
Number = {{1}},
Pages = {{72-85}},
Month = {{MAR}},
Abstract = {{With the accelerating coordinated development of the
   Beijing-Tianjin-Hebei region, regional economic integration is
   recognized as a national strategy. As water scarcity places Hebei
   Province in a dilemma, it is of critical importance for Hebei Province
   to balance water resources as well as make full use of its unique
   advantages in the transition to sustainable development. To our
   knowledge, related embodied water accounting analysis has been conducted
   for Beijing and Tianjin, while similar works with the focus on Hebei are
   not found. In this paper, using the most complete and recent statistics
   available for Hebei Province, the embodied water use in Hebei Province
   is analyzed in detail. Based on input-output analysis, it presents a
   complete set of systems accounting framework for water resources. In
   addition, a database of embodied water intensity is proposed which is
   applicable to both intermediate inputs and final demand. The result
   suggests that the total amount of embodied water in final demand is
   10.62 billion m(3), of which the water embodied in urban household
   consumption accounts for more than half. As a net embodied water
   importer, the water embodied in the commodity trade in Hebei Province is
   17.20 billion m3. The outcome of this work implies that it is
   particularly urgent to adjust industrial structure and trade policies
   for water conservation, to upgrade technology and to improve water
   utilization. As a result, to relieve water shortages in Hebei Province,
   it is of crucial importance to regulate the balance of water use within
   the province, thus balancing water distribution in the various
   industrial sectors.}},
Publisher = {{SPRINGER}},
Address = {{233 SPRING ST, NEW YORK, NY 10013 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Wu, XD (Corresponding Author), Peking Univ, Coll Engn, Beijing 100871, Peoples R China.
   Ji, X (Corresponding Author), Peking Univ, Sch Econ, Beijing 100871, Peoples R China.
   Liu, Siyuan, Yanshan Univ, Hebei Prov Key Lab Heavy Machinery Fluid Power Tr, Qinhuangdao 066004, Peoples R China.
   Liu, Siyuan, Yanshan Univ, Key Lab Adv Forging \& Stamping Technol \& Sci, Minist Educ China, Qinhuangdao 066004, Peoples R China.
   Han, Mengyao, Chinese Acad Sci, Inst Geog Sci \& Nat Resources Res, Beijing 100101, Peoples R China.
   Han, Mengyao; Wu, Xudong; Wu, Xiaofang; Li, Zhi, Peking Univ, Coll Engn, Beijing 100871, Peoples R China.
   Xia, Xiaohua, Renmin Univ China, Sch Econ, Beijing 100872, Peoples R China.
   Ji, Xi, Peking Univ, Sch Econ, Beijing 100871, Peoples R China.}},
DOI = {{10.1007/s11707-016-0614-z}},
ISSN = {{2095-0195}},
EISSN = {{2095-0209}},
Keywords = {{input-output analysis; Hebei Province; embodied water; embodied water
   intensity}},
Keywords-Plus = {{VIRTUAL WATER; URBAN-ECONOMY; RESOURCES USE; TAYLOR DISPERSION; CARBON
   EMISSIONS; ENERGY; FOOTPRINT; SYSTEM; TRADE; EXERGY}},
Research-Areas = {{Geology}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary}},
Author-Email = {{xdwu@pku.edu.cn
   jixi@pku.edu.cn}},
ResearcherID-Numbers = {{Wu, Xiaofang/O-7253-2014}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}51505411]; National Basic Research Program of
   ChinaNational Basic Research Program of China {[}2013CB430402];
   Specialized Research Fund for the Doctoral Program of Higher Education
   of ChinaSpecialized Research Fund for the Doctoral Program of Higher
   Education (SRFDP) {[}20120001110077]}},
Funding-Text = {{This work is supported by the National Natural Science Foundation of
   China (Grant No. 51505411), the National Basic Research Program of China
   (No. 2013CB430402), and Specialized Research Fund for the Doctoral
   Program of Higher Education of China (Grant No. 20120001110077).}},
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Number-of-Cited-References = {{59}},
Times-Cited = {{4}},
Usage-Count-Last-180-days = {{4}},
Usage-Count-Since-2013 = {{57}},
Journal-ISO = {{Front. Earth Sci.}},
Doc-Delivery-Number = {{FW2TK}},
Unique-ID = {{ISI:000425157200007}},
DA = {{2020-08-06}},
}

@article{ ISI:000429509100004,
Author = {Jiborn, Magnus and Kander, Astrid and Kulionis, Viktoras and Nielsen,
   Hana and Moran, Daniel D.},
Title = {{Decoupling or delusion? Measuring emissions displacement in foreign
   trade}},
Journal = {{GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS}},
Year = {{2018}},
Volume = {{49}},
Pages = {{27-34}},
Month = {{MAR}},
Abstract = {{In a world where climate goals are global but action remains firmly in
   the hands of states, reliable methods are needed to ensure that
   emissions reductions on a national level are not offset by carbon
   leakage. Appropriate indicators are needed to help policy makers set
   accurate targets for the carbon balance of their foreign trade and
   monitor the development of trade in a meaningful way. This paper
   proposes a new displacement indicator - the technology adjusted balance
   of emissions embodied in trade - that improves on existing ideas by
   separating out the effects of scale and composition of trade from the
   effects of different technologies and energy systems. The new indicator
   is calculated for Swedish and UK trade from 1995 to 2009, a period when
   both countries have reported decreasing territorial emissions together
   with sustained economic growth. One key finding is that, for both
   countries, outsourcing of emissions is less serious than what
   conventional analysis of emissions embodied in trade suggests. For
   Sweden, the technology adjusted balance of emissions embodied in trade
   is positive throughout the studied period, implying that its exports
   reduce emissions abroad more than what is generated by its imports.
   However, we also find that both countries have changed the composition
   of their imports and exports during this period: imports have become
   more carbon intensive and, exports less so, compared to the world
   economy at large.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Jiborn, M (Corresponding Author), Lund Univ, Dept Econ Hist, Box 7083, S-22007 Lund, Sweden.
   Jiborn, Magnus; Kander, Astrid; Kulionis, Viktoras; Nielsen, Hana, Lund Univ, Dept Econ Hist, Box 7083, S-22007 Lund, Sweden.
   Moran, Daniel D., Norwegian Univ Sci \& Technol, Dept Energy \& Proc Engn, NO-7491 Trondheim, Norway.}},
DOI = {{10.1016/j.gloenvcha.2017.12.006}},
ISSN = {{0959-3780}},
EISSN = {{1872-9495}},
Keywords = {{Carbon accounting; Carbon footprints; Carbon leakage; Decoupling;
   Emissions displacement; Emissions embodied in trade; Global climate
   policy; Input-output analysis; Structural decomposition}},
Keywords-Plus = {{INTERNATIONAL-TRADE; DECOMPOSITION MODEL; CLIMATE POLICY; CO2 EMISSIONS;
   CONSUMPTION; CARBON; UK; CONSISTENCY; TRANSFERS; CHINA}},
Research-Areas = {{Environmental Sciences \& Ecology; Geography}},
Web-of-Science-Categories  = {{Environmental Sciences; Environmental Studies; Geography}},
Author-Email = {{magnus.jiborn@ekh.lu.se}},
ResearcherID-Numbers = {{Kulionis, Viktoras/AAA-6669-2020
   Moran, Daniel/AAE-6028-2019
   }},
ORCID-Numbers = {{Kulionis, Viktoras/0000-0003-4908-5079
   Moran, Daniel/0000-0002-2310-2275
   Nielsen, Hana/0000-0003-0918-5278}},
Funding-Acknowledgement = {{Swedish Energy AgencySwedish Energy Agency}},
Funding-Text = {{This study was funded by a grant from the Swedish Energy Agency.}},
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