text:
to Japan and South Korea.
   China's prioritization of economic growth and trade in low value added
   and pollution intensive sectors consumes a great amount of nexus
   resources within its territory to satisfy consumers' demands in Japan
   and South Korea. Japan's Kanto and Kinki regions and South Korea's
   Sudokwon region were the major beneficiaries while China bore the
   environmental burden associated with the production of exports. For
   example, net virtual exports from China's East region included over 1.2
   billion m(3) of scarce water and 61.3 million metric (CO2 equivalent)
   tons of greenhouse gases (i.e. CO2, NH4, and N2O) and 2 million metric
   tons of SOx emissions.
   Trade is an important mechanism for overcoming resource bottlenecks,
   but, taking into account environmental linkages, regional specialization
   is not necessarily mutually beneficial. This analysis demonstrates a
   mismatch between regional water-energy-food availability and final
   resource consumption and the lack of attention for environmental impacts
   in national economic growth strategies. Resource scarce countries like
   China must, therefore, incorporate trade-off decisions between pursuing
   national economic growth, incurring environmental degradation, and food
   security into strategic regional development policies. (C) 2017 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 = {{Hubacek, K (Corresponding Author), Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA.
   White, David J.; Hubacek, Klaus; Feng, Kuishuang; Sun, Laixiang, Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA.
   Sun, Laixiang, Univ London, Sch Oriental \& African Studies, Dept Financial \& Management Studies, London WC1H 0XG, England.
   Sun, Laixiang, Int Inst Appl Syst Anal, A-2361 Laxenburg, Austria.
   Meng, Bo, Japan External Trade Org IDE JETRO, Inst Developing Econ, Chiba 2618545, Japan.
   Hubacek, Klaus, Masaryk Univ, Dept Environm Studies, Brno, Czech Republic.}},
DOI = {{10.1016/j.apenergy.2017.05.159}},
ISSN = {{0306-2619}},
EISSN = {{1872-9118}},
Keywords = {{Multi-regional input-output analysis; Water scarcity; Virtual water;
   Footprint analysis; Environmental indicators; CO2 equivalent; Greenhouse
   gases}},
Keywords-Plus = {{ENVIRONMENTAL IMPACTS; CO2 EMISSIONS; MIDDLE-EAST; CHINA; TRADE;
   CONSUMPTION; SYSTEMS; POLICY; REQUIREMENTS; AGGREGATION}},
Research-Areas = {{Energy \& Fuels; Engineering}},
Web-of-Science-Categories  = {{Energy \& Fuels; Engineering, Chemical}},
Author-Email = {{Hubacek@umd.edu}},
ResearcherID-Numbers = {{Feng, Kuishuang/Y-2541-2019
   Meng, Bo/AAP-5042-2020}},
ORCID-Numbers = {{Meng, Bo/0000-0003-1179-5390}},
Funding-Acknowledgement = {{Czech Science Foundation under project VEENEX {[}16-17978S]; National
   Natural Science Foundation of ChinaNational Natural Science Foundation
   of China {[}71628301]}},
Funding-Text = {{Klaus Hubacek's Research was partly supported by the Czech Science
   Foundation under the project VEENEX (GA CR no. 16-17978S). Kuishuang
   Feng acknowledges the support of the National Natural Science Foundation
   of China (71628301).}},
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Number-of-Cited-References = {{102}},
Times-Cited = {{72}},
Usage-Count-Last-180-days = {{27}},
Usage-Count-Since-2013 = {{229}},
Journal-ISO = {{Appl. Energy}},
Doc-Delivery-Number = {{FS5DF}},
Unique-ID = {{ISI:000419813100043}},
OA = {{Green Accepted}},
ESI-Highly-Cited-Paper = {{Y}},
ESI-Hot-Paper = {{N}},
DA = {{2020-08-06}},
}

@article{ ISI:000419813100050,
Author = {Owen, Anne and Scott, Kate and Barrett, John},
Title = {{Identifying critical supply chains and final products: An input-output
   approach to exploring the energy-water-food nexus}},
Journal = {{APPLIED ENERGY}},
Year = {{2018}},
Volume = {{210}},
Pages = {{632-642}},
Month = {{JAN 15}},
Abstract = {{Recent advances in detailed multiregional input-output databases offers
   new opportunities to use these environmental accounting tools to explore
   the interrelationships between energy, water and food the energy
   water-food nexus. This paper takes the UK as a case study and calculates
   energy, water and food consumption based accounts for 1997-2013.
   Policies, designed to reduce the environmental impact of consumption of
   products, can intervene at many stages in a product's whole life-time
   from `cradle to gate'. We use input-output analysis techniques to
   investigate the interaction between the energy, water and food impacts
   of products at different points along their supply chains, from the
   extraction of material and burning of energy, to the point of final
   consumption. We identify the twenty most important final products whose
   large energy, water and food impacts could be captured by various
   demand-side strategies such as reducing food waste or dietary changes.
   We then use structural-path analysis to calculate the twenty most
   important supply chains whose impact could be captured by resource
   efficiency policies which act at the point of extraction and during the
   manufacturing process. Finally, we recognise that strategies that aim to
   reduce environmental impacts should not harm the socioeconomic
   well-being of the UK and her trade partners and suggest that pathways
   should be targeted where the employment and value added dependencies are
   relatively low.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Owen, A (Corresponding Author), Univ Leeds, Sustainabil Res Inst, Sch Earth \& Environm, Leeds, W Yorkshire, England.
   Owen, Anne; Scott, Kate; Barrett, John, Univ Leeds, Sustainabil Res Inst, Sch Earth \& Environm, Leeds, W Yorkshire, England.}},
DOI = {{10.1016/j.apenergy.2017.09.069}},
ISSN = {{0306-2619}},
EISSN = {{1872-9118}},
Keywords = {{Multiregional input-output databases; Global value chains;
   Consumption-based accounting; Structural path analysis;
   Energy-water-food nexus}},
Keywords-Plus = {{INTERNATIONAL-TRADE; FOOTPRINT; CONSUMPTION; CARBON; EFFICIENCY; DEMAND;
   POLICY}},
Research-Areas = {{Energy \& Fuels; Engineering}},
Web-of-Science-Categories  = {{Energy \& Fuels; Engineering, Chemical}},
Author-Email = {{a.owen@leeds.ac.uk}},
ResearcherID-Numbers = {{Scott, Kate/L-6843-2015
   }},
ORCID-Numbers = {{Scott, Kate/0000-0001-7952-0348
   Owen, Anne/0000-0002-3872-9900}},
Funding-Acknowledgement = {{research programme of the UK Energy Research Centre; UK Research
   Councils {[}EP/L024756/1]; RCUK Energy Program's funding for the Centre
   for Industrial Energy, Materials and Products {[}EP/N022645/1]}},
Funding-Text = {{We would like to thank Simon Arm-Riding for producing the Sankey diagram
   (Fig. 6) and also the participants at the 23rd International
   Input-Output Association conference in Seoul for insightful comments on
   an early presentation of these results. Thank you for the useful
   comments and suggestions from two anonymous referees. This work was
   supported by the research programme of the UK Energy Research Centre,
   supported by the UK Research Councils under {[}EPSRC award EP/L024756/1]
   and the RCUK Energy Program's funding for the Centre for Industrial
   Energy, Materials and Products {[}grant reference EP/N022645/1].}},
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Number-of-Cited-References = {{56}},
Times-Cited = {{41}},
Usage-Count-Last-180-days = {{10}},
Usage-Count-Since-2013 = {{58}},
Journal-ISO = {{Appl. Energy}},
Doc-Delivery-Number = {{FS5DF}},
Unique-ID = {{ISI:000419813100050}},
OA = {{Green Published, Other Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000418978100071,
Author = {Xia, Yang and Li, Yuan and Guan, Dabo and Tinoco, David Mendoza and Xia,
   Jiangjiang and Yan, Zhongwei and Yang, Jun and Liu, Qiyong and Huo, Hong},
Title = {{Assessment of the economic impacts of heat waves: A case study of
   Nanjing, China}},
Journal = {{JOURNAL OF CLEANER PRODUCTION}},
Year = {{2018}},
Volume = {{171}},
Pages = {{811-819}},
Month = {{JAN 10}},
Abstract = {{The southeast region of China is frequently affected by summer heat
   waves. Nanjing, a metropolitan city in Jiangsu Province, China,
   experienced an extreme 14-day heat wave in 2013. Extreme heat can not
   only induce health outcomes in terms of excess mortality and morbidity
   (hospital admissions) but can also cause productivity losses for
   self-paced indoor workers and capacity losses for outdoor workers due to
   occupational safety requirements. All of these effects can be translated
   into productive working time losses, thus creating a need to investigate
   the macroeconomic implications of heat waves on production supply
   chains. Indeed, industrial interdependencies are important for capturing
   the cascading effects of initial changes in factor inputs in a single
   sector on the remaining sectors and the economy. To consider these
   effects, this paper develops an interdisciplinary approach by combining
   meteorological, epidemiological and economic analyses to investigate the
   macroeconomic impacts of heat waves on the economy of Nanjing in 2013.
   By adopting a supply-driven input-output (IO) model, labour is perceived
   to be a key factor input, and any heat effect on human beings can be
   viewed as a degradation of productive time and human capital. Using this
   interdisciplinary tool, our study shows a total economic loss of 27.49
   billion Yuan for Nanjing in 2013 due to the heat wave, which is
   equivalent to 3.43\% of the city's gross value of production in 2013.
   The manufacturing sector sustained 63.1\% of the total economic loss at
   17.34 billion Yuan. Indeed, based on the ability of the IO model to
   capture indirect economic loss, our results further suggest that
   although the productive time losses in the manufacturing and service
   sectors have lower magnitudes than those in the agricultural and mining
   sectors, they can entail substantial indirect losses because of
   industrial interdependencies. This important conclusion highlights the
   importance of incorporating industrial interdependencies and indirect
   economic assessments in disaster risk studies. (C) 2017 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, Y (Corresponding Author), Univ East Anglia, Sch Int Dev, Water Secur Res Ctr, Norwich NR4 TTJ, Norfolk, England.
   Huo, H (Corresponding Author), Tsinghua Univ, Inst Energy Environm \& Econ, Beijing 100084, Peoples R China.
   Xia, Yang; Li, Yuan; Guan, Dabo; Tinoco, David Mendoza, Univ East Anglia, Sch Int Dev, Water Secur Res Ctr, Norwich NR4 TTJ, Norfolk, England.
   Li, Yuan, Tsinghua Univ, Sch Environm, State Key Joint Lab Environm Simulat \& Pollut Con, Beijing 100084, Peoples R China.
   Xia, Jiangjiang; Yan, Zhongwei, Chinese Acad Sci, Inst Atmospher Phys, Beijing, Peoples R China.
   Yang, Jun; Liu, Qiyong, Chinese Ctr Dis Control \& Prevent, Beijing, Peoples R China.
   Huo, Hong, Tsinghua Univ, Inst Energy Environm \& Econ, Beijing 100084, Peoples R China.}},
DOI = {{10.1016/j.jclepro.2017.10.069}},
ISSN = {{0959-6526}},
EISSN = {{1879-1786}},
Keywords = {{Heat wave; Health; Productivity; Capacity; Macroeconomic; Input-output
   analysis; Indirect loss; Nanjing; China}},
Keywords-Plus = {{CLIMATE-CHANGE; AIR-POLLUTION; MORTALITY; TEMPERATURE; SHANGHAI; FRANCE;
   HEALTH; COSTS}},
Research-Areas = {{Science \& Technology - Other Topics; Engineering; Environmental
   Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Engineering, Environmental;
   Environmental Sciences}},
Author-Email = {{y.li4@uea.ac.uk
   hhuo@mail.tsinghua.edu.cn}},
ResearcherID-Numbers = {{Guan, Dabo/Y-2406-2019
   Yang, Jun/Q-3037-2019
   Yan, Zhongwei/AAF-7451-2020}},
ORCID-Numbers = {{Guan, Dabo/0000-0003-3773-3403
   Yan, Zhongwei/0000-0003-0638-137X}},
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Number-of-Cited-References = {{36}},
Times-Cited = {{16}},
Usage-Count-Last-180-days = {{10}},
Usage-Count-Since-2013 = {{51}},
Journal-ISO = {{J. Clean Prod.}},
Doc-Delivery-Number = {{FR3PH}},
Unique-ID = {{ISI:000418978100071}},
OA = {{Green Accepted}},
DA = {{2020-08-06}},
}

@article{ ISI:000419419500038,
Author = {Cheng, Hao and Dong, Suocheng and Li, Fujia and Li, Shantong and Li, Yu
   and Yang, Yang},
Title = {{Multiregional Input-Output Analysis of Spatial-Temporal Evolution
   Driving Force for Carbon Emissions Embodied in Interprovincial Trade and
   Optimization Policies: Case Study of Northeast Industrial District in
   China}},
Journal = {{ENVIRONMENTAL SCIENCE \& TECHNOLOGY}},
Year = {{2018}},
Volume = {{52}},
Number = {{1}},
Pages = {{346-358}},
Month = {{JAN 2}},
Abstract = {{In the counties with rapid economy and carbon emissions (CEs) growth,
   CEs embodied in interprovincial trade (CEs-PT) significantly impacts the
   CEs amount and structure and represents a key issue to consider in CEs
   reduction policies formulation. This study applied EEBT and two-stage
   SDA model to analyze the characteristics and driving force of
   spatial-temporal evolution for net CEs-PT outflow in the Northeast
   Industrial District of China (NID). We found that, during 1997-2007, the
   net CEs-PT flowed out from NID to 16 south and east provinces, then to
   23 provinces all over China, and its amount has increased 216.798Mt (by
   211.67\% per year). The main driving forces are technology and demand
   (further decomposed into structure and scale matrix); the contribution
   are 71.6418 Mt and 145.1562 Mt. Then, we constructed coupling
   relationship model and took the top three industries with the greatest
   net CEs-PT outflow (farming, forestry, animal husbandry and fisheries,
   electricity and heat production and supply, petroleum processing,
   coking, and nuclear fuel processing) as examples, adjusted the
   interprovincial trade constructions, scales, and objects, to reduce the
   CEs-PT with lower costs, greater effect, and more equitability. The
   achievement could provide reference for formulating CEs reduction
   policies for similar areas in the world characterized by rapid growth of
   economy and CEs.}},
Publisher = {{AMER CHEMICAL SOC}},
Address = {{1155 16TH ST, NW, WASHINGTON, DC 20036 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Li, FJ (Corresponding Author), Chinese Acad Sci, Inst Geog Sci \& Nat Resources Res, Beijing 100101, Peoples R China.
   Li, FJ (Corresponding Author), Univ Chinese Acad Sci, Coll Resource \& Environm, Beijing 100049, Peoples R China.
   Cheng, Hao; Dong, Suocheng; Li, Fujia; Li, Yu; Yang, Yang, Chinese Acad Sci, Inst Geog Sci \& Nat Resources Res, Beijing 100101, Peoples R China.
   Dong, Suocheng; Li, Fujia; Li, Yu; Yang, Yang, Univ Chinese Acad Sci, Coll Resource \& Environm, Beijing 100049, Peoples R China.
   Li, Shantong, State Council, Dev Res Ctr, Dept Dev Strategy \& Reg Econ, Beijing 100010, Peoples R China.}},
DOI = {{10.1021/acs.est.7b04608}},
ISSN = {{0013-936X}},
EISSN = {{1520-5851}},
Keywords-Plus = {{STRUCTURAL DECOMPOSITION ANALYSIS; CO2 EMISSIONS; INTERNATIONAL-TRADE;
   SUPPLY CHAINS; CONSUMPTION; ENERGY; INTENSITY; BRAZIL; MODEL}},
Research-Areas = {{Engineering; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Engineering, Environmental; Environmental Sciences}},
Author-Email = {{lifujia2003@163.com}},
Funding-Acknowledgement = {{Science \& Technology Basic Resources Investigation Program of China
   {[}2017FY101304]; National Natural Science Foundation of ChinaNational
   Natural Science Foundation of China {[}41301637, 41701639, 41771182]}},
Funding-Text = {{The work described in this article was funded by the National Natural
   Science Foundation of China (Grants 41301637, 41701639 and 41771182) and
   Science \& Technology Basic Resources Investigation Program of China
   (2017FY101304). Thanks very much for the editor and the reviewers'
   guidance for this manuscript.}},
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Number-of-Cited-References = {{43}},
Times-Cited = {{19}},
Usage-Count-Last-180-days = {{6}},
Usage-Count-Since-2013 = {{70}},
Journal-ISO = {{Environ. Sci. Technol.}},
Doc-Delivery-Number = {{FR9UV}},
Unique-ID = {{ISI:000419419500038}},
DA = {{2020-08-06}},
}

@article{ ISI:000419128700021,
Author = {Ragone, Francesco and Wouters, Jeroen and Bouchet, Freddy},
Title = {{Computation of extreme heat waves in climate models using a large
   deviation algorithm}},
Journal = {{PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
   AMERICA}},
Year = {{2018}},
Volume = {{115}},
Number = {{1}},
Pages = {{24-29}},
Month = {{JAN 2}},
Abstract = {{Studying extreme events and how they evolve in a changing climate is one
   of the most important current scientific challenges. Starting from
   complex climate models, a key difficulty is to be able to run long
   enough simulations to observe those extremely rare events. In physics,
   chemistry, and biology, rare event algorithms have recently been
   developed to compute probabilities of events that cannot be observed in
   direct numerical simulations. Here we propose such an algorithm,
   specifically designed for extreme heat or cold waves, based on
   statistical physics. This approach gives an improvement of more than two
   orders of magnitude in the sampling efficiency. We describe the dynamics
   of events that would not be observed otherwise. We show that European
   extreme heat waves are related to a global teleconnection pattern
   involving North America and Asia. This tool opens up a wide range of
   possible studies to quantitatively assess the impact of climate change.}},
Publisher = {{NATL ACAD SCIENCES}},
Address = {{2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Bouchet, F (Corresponding Author), Univ Lyon, Univ Claude Bernard, Ens Lyon, Lab Phys,CNRS, F-69342 Lyon, France.
   Ragone, Francesco; Wouters, Jeroen; Bouchet, Freddy, Univ Lyon, Univ Claude Bernard, Ens Lyon, Lab Phys,CNRS, F-69342 Lyon, France.
   Ragone, Francesco, Univ Milano Bicocca, Dept Earth \& Environm Sci, I-20126 Milan, Italy.
   Wouters, Jeroen, Univ Sydney, Sch Math \& Stat, Sydney, NSW 2006, Australia.
   Wouters, Jeroen, Univ Hamburg, Meteorol Inst, D-20146 Hamburg, Germany.}},
DOI = {{10.1073/pnas.1712645115}},
ISSN = {{0027-8424}},
Keywords = {{climate extremes; statistical physics; large deviation theory; rare
   event algorithms; heat waves}},
Keywords-Plus = {{TEMPERATURE; SUMMER}},
Research-Areas = {{Science \& Technology - Other Topics}},
Web-of-Science-Categories  = {{Multidisciplinary Sciences}},
Author-Email = {{Freddy.Bouchet@ens-lyon.fr}},
ResearcherID-Numbers = {{Wouters, Jeroen/AAB-8902-2020
   }},
ORCID-Numbers = {{Wouters, Jeroen/0000-0001-5418-7657
   Ragone, Francesco/0000-0002-2493-7020}},
Funding-Acknowledgement = {{AXA Research Fund}},
Funding-Text = {{The authors thank Gualtiero Badin, Edilbert Kirk, Frank Lunkeit, and
   Thibault Lestang for useful discussions and suggestions on various
   aspects of this work. J.W. and F.R. acknowledge the support of the AXA
   Research Fund.}},
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Number-of-Cited-References = {{36}},
Times-Cited = {{30}},
Usage-Count-Last-180-days = {{4}},
Usage-Count-Since-2013 = {{20}},
Journal-ISO = {{Proc. Natl. Acad. Sci. U. S. A.}},
Doc-Delivery-Number = {{FR5TI}},
Unique-ID = {{ISI:000419128700021}},
OA = {{Green Accepted, Bronze, Green Published}},
DA = {{2020-08-06}},
}

@inproceedings{ ISI:000502418600024,
Author = {Mrowczynska-Kaminska, Aldona and Bajan, Bartlomiej},
Editor = {{Golebiewski, J}},
Title = {{GLOBAL DIFFERENCES IN LABOUR PRODUCTIVITY IN THE AGRIBUSINESS}},
Booktitle = {{PROCEEDINGS OF THE 2018 INTERNATIONAL SCIENTIFIC CONFERENCE - ECONOMIC
   SCIENCES FOR AGRIBUSINESS AND RURAL ECONOMY, NO 2, 2018}},
Year = {{2018}},
Pages = {{191-197}},
Note = {{International Scientific Conference on Economic Sciences for
   Agribusiness and Rural Economy, Warsaw, POLAND, JUN 07-07, 2018}},
Organization = {{Warsaw Univ Life Sci, Fac Edon Sci}},
Abstract = {{The purpose of this paper is to assess the global differences in labour
   productivity in the agribusiness. The relationship between a country's
   economic development level (measured as GDP per capita) and labour
   productivity in the agriculture and across the entire agribusiness was
   measured in 39 countries around the world (which are entered to the
   World Input-Output Database and for which the relevant I/O tables were
   prepared) in 2000 and 2014. The input-output analysis, employed as the
   main research method, enabled the calculation of value added in the
   agriculture and elsewhere in the agribusiness. The results suggest the
   existence of a positive linear association between agribusiness labour
   productivity and economic development level, as corroborated by previous
   observations. In turn, two separate groups are noticeable in the
   relationship between agricultural labour productivity and the level of
   development of a country. In the first group of countries, agricultural
   labour productivity grows fast as the economy grows whereas in the
   second group, the growth rate of labour productivity clearly decreases
   as the economy grows. This study is a part of the discussion on the
   global agricultural development model which, on the one hand, calls for
   increasing the productivity of agricultural labour and, on the other,
   shows a need to reduce environmental degradation.}},
Publisher = {{Warsaw Univ Life Sciences Pr}},
Address = {{Nowoursynowska 166, Warsaw, POLAND}},
Type = {{Proceedings Paper}},
Language = {{English}},
Affiliation = {{Mrowczynska-Kaminska, A; Bajan, B (Corresponding Author), Wojska Polskiego 28, PL-60637 Poznan, Poland.
   Mrowczynska-Kaminska, Aldona; Bajan, Bartlomiej, Poznan Univ Life Sci, Fac Econ \& Social Sci, Poznan, Poland.}},
DOI = {{10.22630/ESARE.2018.2.24}},
ISBN = {{978-83-7583-803-9}},
Keywords = {{agribusiness; labour productivity; economic growth}},
Research-Areas = {{Development Studies; Business \& Economics; Geography}},
Web-of-Science-Categories  = {{Development Studies; Economics; Geography}},
Author-Email = {{mrowczynska-kaminska@up.poznan.pl
   bartlomiej.bajan@up.poznan.pl}},
ORCID-Numbers = {{Bajan, Bartlomiej/0000-0003-1393-6580
   Mrowczynska-Kaminska, Aldona/0000-0001-5439-7339}},
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Number-of-Cited-References = {{13}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Doc-Delivery-Number = {{BO1TO}},
Unique-ID = {{ISI:000502418600024}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@inproceedings{ ISI:000495570000038,
Author = {Hermawan, E.},
Editor = {{Ramdani, R and Junjunan, SF and Kurniawati, F}},
Title = {{Impact of teleconnection between Indian Ocean Dipole (IOD) and El Nino
   at normal (neutral) phase condition on the Java Monsoon rainfall
   variability}},
Booktitle = {{6TH INTERNATIONAL SEMINAR OF AEROSPACE SCIENCE AND TECHNOLOGY (ISAST)}},
Series = {{Journal of Physics Conference Series}},
Year = {{2018}},
Volume = {{1130}},
Note = {{6th International Seminar on Aerospace Science and Technology (ISAST),
   Jakarta, INDONESIA, SEP 25-26, 2018}},
Organization = {{Indonesian Natl Aeronaut \& Space Agcy}},
Abstract = {{The meteorological surface parameter over the Maritime Continent (MC),
   especially rainfall anomalies are very important to be investigated due
   to their impacts on the hydrometeorological hazards phenomena. Although,
   this region is effected by the Monsoon system, but another phenomena
   called as the Indian Ocean Dipole (IOD) and El Nino are suspected has a
   great effects in controlling the rainfall anomalies too. In this present
   study, we investigated the upcoming of IOD and El-Nino (represented as
   SST Nino 3.4) index, especially from October 2018 to February 2019.
   According to the prediction derived from POAMA (Predictive Ocean
   Atmosphere Model for Australia) model, Australia, that is issued by
   September 8, 2018, we found that those indexes (IOD and SST Nino 3.4)
   are located ``near{''} the normal (neutral) phase condition. It means
   that Monsoon will become a pre-dominant peak oscillation during that
   period, although by assuming the Madden Julian Oscillation (MJO) also
   located at ``near{''} normal condition. By using the IOD, SST Nino 3.4,
   and the CHIRPS (Climate Hazards Group InfraRed Precipitation with
   Station) monthly rainfall data for period of 37 years observation over
   Java Island, we found that rainy season is already started since
   December 2017. The transitional season (from rainy to dry season) is
   started from March to May 2018. The dry season itself is already started
   since June to August 2018. Basically, we found the second transitional
   season that is started from September to November 2018. Since, this
   study is mainly concerned to rainfall anomalies prediction when IOD and
   El-Nino is located ``near{''} normal (neutral) phase position, we
   suspect that the early rainy season this year will be started at
   December 2018, and continue to rainy season at January and February
   2019. Those all prediction will be working well by assuming that
   teleconnection between IOD and El Nino up to February 2019 still located
   ``near{''} normal phase condition/position.}},
Publisher = {{IOP PUBLISHING LTD}},
Address = {{DIRAC HOUSE, TEMPLE BACK, BRISTOL BS1 6BE, ENGLAND}},
Type = {{Proceedings Paper}},
Language = {{English}},
Affiliation = {{Hermawan, E (Corresponding Author), Natl Inst Aeronaut \& Space LAPAN, Ctr Atmospher Sci \& Technol, Jakarta, Indonesia.
   Hermawan, E., Natl Inst Aeronaut \& Space LAPAN, Ctr Atmospher Sci \& Technol, Jakarta, Indonesia.}},
DOI = {{10.1088/1742-6596/1130/1/012038}},
Article-Number = {{UNSP 012038}},
ISSN = {{1742-6588}},
EISSN = {{1742-6596}},
Keywords-Plus = {{MARITIME CONTINENT; DIURNAL CYCLE; SOUTHERN-OSCILLATION; INDONESIAN
   RAINFALL; TRMM SATELLITE; ENSO; PRECIPITATION; MIGRATION; SEASON}},
Research-Areas = {{Engineering; Physics}},
Web-of-Science-Categories  = {{Engineering, Aerospace; Physics, Multidisciplinary}},
Author-Email = {{eddy.hermawan@lapan.go.id}},
Funding-Acknowledgement = {{Directorate General of Higher Education, Ministry of Research-Technology
   and Higher Education, Indonesia, through Penelitian Kerjasama Luar
   Negeri (KLN) dan Publikasi Internasional 2018}},
Funding-Text = {{The work reported in this paper is supported by the Directorate General
   of Higher Education, Ministry of Research-Technology and Higher
   Education, Indonesia, through Penelitian Kerjasama Luar Negeri (KLN) dan
   Publikasi Internasional 2018. Thanks also are given the staff member
   from NCOF (National Climate of Outlook Forum) from BMKG, LAPAN, PUSAIR
   and others for nice discussion and cooperation.}},
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Number-of-Cited-References = {{34}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Doc-Delivery-Number = {{BO1FG}},
Unique-ID = {{ISI:000495570000038}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@incollection{ ISI:000474199200005,
Author = {Roy, Indrani},
Book-Author = {{Roy, I}},
Title = {{Teleconnection Among Various Modes}},
Booktitle = {{CLIMATE VARIABILITY AND SUNSPOT ACTIVITY: ANALYSIS OF THE SOLAR
   INFLUENCE ON CLIMATE}},
Series = {{Springer Atmospheric Sciences}},
Year = {{2018}},
Pages = {{39-52}},
Abstract = {{This chapter discusses various teleconnections involving climate modes.
   First, it focuses different teleconnections involving polar vortex, QBO
   and ENSO; later the discussion was extended up to troposphere. The ENSO
   being one of the major tropospheric variabilities, the subsequent
   discussion covered various characteristic features of ENSO and
   subsequently ENSO-related teleconnections. The topics covered are ENSO
   and jet, influence of ENSO around the world, ENSO and ISM and various
   types of ENSO including central Pacific (CP) type (or Modoki ENSO) and
   east Pacific (EP) type (or canonical ENSO). Specific influences of these
   two types of ENSO are also attended in details.}},
Publisher = {{SPRINGER INTERNATIONAL PUBLISHING AG}},
Address = {{GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND}},
Type = {{Article; Book Chapter}},
Language = {{English}},
Affiliation = {{Roy, I (Corresponding Author), Univ Exeter, Coll Engn, Math \& Phys Sci, Exeter, Devon, England.
   Roy, Indrani, Univ Exeter, Coll Engn, Math \& Phys Sci, Exeter, Devon, England.}},
DOI = {{10.1007/978-3-319-77107-6\_4}},
ISSN = {{2194-5217}},
ISBN = {{978-3-319-77107-6; 978-3-319-77106-9}},
Keywords = {{El Nino; La Nino; Canonical ENSO; Modoki ENSO; teleconnection; polar
   vortex; Indian Summer Monsoon}},
Keywords-Plus = {{EL-NINO; ENSO; STRATOSPHERE; PACIFIC}},
Research-Areas = {{Environmental Sciences \& Ecology; Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Environmental Sciences; Meteorology \& Atmospheric Sciences}},
ResearcherID-Numbers = {{Roy, Indrani/U-1447-2018}},
ORCID-Numbers = {{Roy, Indrani/0000-0003-1728-7506}},
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Number-of-Cited-References = {{22}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{1}},
Doc-Delivery-Number = {{BN1DL}},
Unique-ID = {{ISI:000474199200005}},
DA = {{2020-08-06}},
}

@incollection{ ISI:000470986300005,
Author = {Durcova, Julia and Oravcova, Dominika},
Editor = {{Mirdala, R}},
Title = {{Structural changes of the Slovak economy}},
Booktitle = {{GLOBAL VALUE CHAINS, INTERNATIONAL FRAGMENTATION OF PRODUCTION AND
   IMPLICATIONS FOR EUROPEAN UNION}},
Series = {{Oeconomica}},
Year = {{2018}},
Pages = {{96-120}},
Abstract = {{Due to international fragmentation of production in world economy we
   observe changes in international competitiveness. Intention of countries
   to participate in new international division of labor based on
   participation of country in the global value chains reveals lot of
   opened questions. Understanding effects of exports for domestic
   production as well as value added creation and employment can provide
   important development policy insights. Since the differences between
   gross exports and value added in exports are already considerable and
   growing, assessing the competitiveness of economies through traditional
   indicators based on gross export statistics is becoming increasingly
   less relevant. In order to examine structural and intra-industrial
   linkages we implement input-output analysis that is based on the use of
   input-output tables that provide crucial information on value added
   within individual segments. The results indicate that Slovak industries
   are strongly linking to foreign demand. Almost all value added of top
   Slovak exporting sectors is generated by foreign demand. This confirms
   the high risk of vulnerability to external shocks. The results prove
   that production multiplier over analysed period decreases, the most in
   exporting sectors. As expected, the exporting sectors generated lower
   product multiplication effect for Slovak economy. The sectors with
   dominant services share multiply more value added by unit of production
   compared to manufacturing exporting sectors. Moreover, the multiplier of
   value added for example for construction sector rises. However, the
   exporting sectors still lagged and their effect on domestic value added
   is even weakening.}},
Publisher = {{ASERS PUBLISHING}},
Address = {{SABBA STEFANESCU 5, CRAIOVA, 200145, ROMANIA}},
Type = {{Article; Book Chapter}},
Language = {{English}},
Affiliation = {{Durcova, J (Corresponding Author), Tech Univ Kosice, Fac Econ, Kosice, Slovakia.
   Durcova, Julia; Oravcova, Dominika, Tech Univ Kosice, Fac Econ, Kosice, Slovakia.}},
DOI = {{10.14505/gvcifpieu.2018.ch4}},
ISBN = {{978-606-8689-38-8; 978-606-8689-39-5}},
Keywords = {{global value chains; export; input-output analysis; multipliers; value
   added}},
Keywords-Plus = {{GLOBAL VALUE CHAINS; EXPORTS; TRADE}},
Research-Areas = {{Area Studies; Business \& Economics}},
Web-of-Science-Categories  = {{Area Studies; Economics}},
Author-Email = {{julia.durcova@tuke.sk
   dominika.oravcova@tuke.sk}},
ResearcherID-Numbers = {{Durcova, Julia/AAH-4286-2019}},
Cited-References = {{Amador J, 2015, ASIAN ECON J, V29, P99, DOI 10.1111/asej.12050.
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Number-of-Cited-References = {{20}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{2}},
Doc-Delivery-Number = {{BM9IQ}},
Unique-ID = {{ISI:000470986300005}},
DA = {{2020-08-06}},
}

@incollection{ ISI:000470986300007,
Author = {Bartokova, L'udmila},
Editor = {{Mirdala, R}},
Title = {{Input-output analysis of agriculture and food sectors in the selected
   European countries}},
Booktitle = {{GLOBAL VALUE CHAINS, INTERNATIONAL FRAGMENTATION OF PRODUCTION AND
   IMPLICATIONS FOR EUROPEAN UNION}},
Series = {{Oeconomica}},
Year = {{2018}},
Pages = {{142-170}},
Abstract = {{Input-output tables can be considered as a relatively simple, but rather
   useful tool, used for analyzing the structure of economies, direct and
   indirect linkages between their sectors, or for studying sectors' demand
   and supply relationships in order to determine their positions.
   The aim of this chapter is to present and compare the main
   characteristics of two selected sectors in V4 countries, Baltic
   countries and in three selected so-called ``old EU members{''}. The
   focus is on the agriculture and food sectors and their characteristics.
   The analysis is based on the use of principal input output coefficients
   and multipliers. The objective is to verify the similarities in the
   position and the development of these sectors in observed countries, to
   examine backward and forward linkages and their strength in order to
   identify countries' key sectors and to measure possible concentrations
   of their impacts. With accordance to the previous research as well as
   general trends, we expected certain decline of importance over the
   analyzed period, namely in the terms of production, employment but also
   in overall effects on the whole economy.}},
Publisher = {{ASERS PUBLISHING}},
Address = {{SABBA STEFANESCU 5, CRAIOVA, 200145, ROMANIA}},
Type = {{Article; Book Chapter}},
Language = {{English}},
Affiliation = {{Bartokova, L (Corresponding Author), Tech Univ Kosice, Fac Econ, Kosice, Slovakia.
   Bartokova, L'udmila, Tech Univ Kosice, Fac Econ, Kosice, Slovakia.}},
DOI = {{10.14505/gvcifpieu.2018.ch6}},
ISBN = {{978-606-8689-38-8; 978-606-8689-39-5}},
Keywords = {{input-output analysis; multipliers; backward and forward linkages;
   agriculture sector; food sector; demand; supply; impact}},
Keywords-Plus = {{ECONOMY}},
Research-Areas = {{Area Studies; Business \& Economics}},
Web-of-Science-Categories  = {{Area Studies; Economics}},
Author-Email = {{ludmila.bartokova@tuke.sk}},
ResearcherID-Numbers = {{Bartokova, Ludmila/AAA-7128-2020}},
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Number-of-Cited-References = {{45}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{2}},
Doc-Delivery-Number = {{BM9IQ}},
Unique-ID = {{ISI:000470986300007}},
DA = {{2020-08-06}},
}

@inproceedings{ ISI:000470975400041,
Author = {Liao, Changyi and Wang, Saige and Fang, Jiake and Zhang, Yiyi},
Editor = {{Wang, H and Wang, X and Yan, J and Wu, J and Yang, Y and Li, H}},
Title = {{The impacts of interprovincial agricultural trade on water resources in
   China: from perspective of grey water footprint}},
Booktitle = {{CLEANER ENERGY FOR CLEANER CITIES}},
Series = {{Energy Procedia}},
Year = {{2018}},
Volume = {{152}},
Pages = {{253-258}},
Note = {{Applied Energy Symposium and Forum - Low-Carbon Cities and Urban Energy
   Systems (CUE), Shanghai, PEOPLES R CHINA, JUN 05-07, 2018}},
Organization = {{Appl Energy; Appl Energy Innovat Inst; Tongji Univ; China Assoc Sci \&
   Technol, HOME Program; Malardalen Univ, Future Energy Profile; Shanghai
   Key Lab Urban Regenerat \& Spatial Optimizat Technol; MOE Joint Lab Int
   Cooperat Eco Urban Design; Sichuan Univ; Shanghai Univ Electric Power;
   BEEUE; Int Clean Energy Talent Program; UNiLAB}},
Abstract = {{As the largest water consumption sector, agriculture sector plays a
   significant role in water resources reallocating via economic trade.
   Different from previous studies focusing on the impacts of economic
   trade on water quantity, this paper concentrates on the impacts on the
   water quality. Grey water footprint (GWF) of agricultural sector is used
   for investigating the impacts of trade on water resources. In this
   paper, the regional virtual grey water of agricultural trade network was
   built based on the GWF and multiregional input output analysis. The GWF
   for agricultural sector in each region was inventoried. Then GWF of
   agriculture embodied in monetary flows among regions were calculated
   using multiregional input output analysis. The main results showed that
   Shandong, Henan, Heilongjiang, Inner Mongolia, and Hebei were the most
   critical regions for water resources. Besides, Zhejiang and Guangdong
   have saved a large amount of water by importing water resources through
   agricultural trade. While, Hebei, Heilongjiang, Anhui, Henan and
   Xinjiang are exporting a large amount of water resources. Moreover, the
   regions with developed economy and higher population are more dependent
   on agricultural imports. By identifying the critical node and pathway in
   virtual grey water trade, this paper aims to provide theoretical
   foundations for mitigating water pressure and reducing water pollution
   in economic trade activities. Copyright (C) 2018 Elsevier Ltd. All
   rights reserved.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Proceedings Paper}},
Language = {{English}},
Affiliation = {{Zhang, YY (Corresponding Author), Guangxi Univ, Guangxi Key Lab Power Syst Optimizat \& Energy Tec, Nanning 530004, Peoples R China.
   Liao, Changyi; Fang, Jiake; Zhang, Yiyi, Guangxi Univ, Guangxi Key Lab Power Syst Optimizat \& Energy Tec, Nanning 530004, Peoples R China.
   Wang, Saige, Beijing Normal Univ, Sch Environm, Key Joint Lab Environm Simulat \& Pollut Control, Beijing 100875, Peoples R China.}},
DOI = {{10.1016/j.egypro.2018.09.113}},
ISSN = {{1876-6102}},
Keywords = {{Agricultural sector; grey water footprint; multiregional input-output
   analysis; water polllution}},
Keywords-Plus = {{VIRTUAL WATER}},
Research-Areas = {{Energy \& Fuels; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Energy \& Fuels; Environmental Sciences}},
Author-Email = {{yiyizhang@gxu.edu.cn}},
ResearcherID-Numbers = {{Zhang, Yiyi/AAE-2510-2019}},
Funding-Acknowledgement = {{National Basic Research Program of China (973 Program)National Basic
   Research Program of China {[}2013CB228205]; National High-tech R \& D
   Program of China (863 Program)National High Technology Research and
   Development Program of China {[}2015AA050204]; Natural Science
   Foundation of GuangxiNational Natural Science Foundation of Guangxi
   Province {[}2015GXNSFBA139235]; Foundation of Guangxi Science and
   Technology Department {[}AE020069]; Foundation of Guangxi Education
   Department {[}T3020097903]; National Key Research and Development
   Program of China {[}2016YFB0900101]; National Demonstration Center for
   Experimental Electrical Engineering Education (Guangxi University)}},
Funding-Text = {{The authors acknowledge the National Basic Research Program of China
   (973 Program, 2013CB228205), and the National High-tech R \& D Program
   of China (863 Program, 2015AA050204), the Natural Science Foundation of
   Guangxi (2015GXNSFBA139235), the Foundation of Guangxi Science and
   Technology Department (AE020069), and the Foundation of Guangxi
   Education Department (T3020097903), and the National Key Research and
   Development Program of China (2016YFB0900101) and National Demonstration
   Center for Experimental Electrical Engineering Education (Guangxi
   University) in support of this work.}},
Cited-References = {{Cai BM, 2017, J ENVIRON MANAGE, V196, P681, DOI 10.1016/j.jenvman.2017.03.062.
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   Zhang XN, 2015, J INTEGR AGR, V14, P2365, DOI 10.1016/S2095-3119(15)61128-5.
   Zhao DD, 2017, J CLEAN PROD, V167, P919, DOI 10.1016/j.jclepro.2017.07.012.
   Zhu XJ, 2015, APPL ENERG, V151, P345, DOI 10.1016/j.apenergy.2015.04.082.}},
Number-of-Cited-References = {{16}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Doc-Delivery-Number = {{BM9IL}},
Unique-ID = {{ISI:000470975400041}},
OA = {{Other Gold}},
DA = {{2020-08-06}},
}

@inproceedings{ ISI:000470975400045,
Author = {Cao, Tao and Wang, Saige and Chen, Bin},
Editor = {{Wang, H and Wang, X and Yan, J and Wu, J and Yang, Y and Li, H}},
Title = {{The energy-water nexus in interregional economic trade from both
   consumption and production perspectives}},
Booktitle = {{CLEANER ENERGY FOR CLEANER CITIES}},
Series = {{Energy Procedia}},
Year = {{2018}},
Volume = {{152}},
Pages = {{281-286}},
Note = {{Applied Energy Symposium and Forum - Low-Carbon Cities and Urban Energy
   Systems (CUE), Shanghai, PEOPLES R CHINA, JUN 05-07, 2018}},
Organization = {{Appl Energy; Appl Energy Innovat Inst; Tongji Univ; China Assoc Sci \&
   Technol, HOME Program; Malardalen Univ, Future Energy Profile; Shanghai
   Key Lab Urban Regenerat \& Spatial Optimizat Technol; MOE Joint Lab Int
   Cooperat Eco Urban Design; Sichuan Univ; Shanghai Univ Electric Power;
   BEEUE; Int Clean Energy Talent Program; UNiLAB}},
Abstract = {{Energy and water, serving as a critical part to support the goods and
   services provision, are highly interwoven in the social, economic and
   ecological system. To investigate the direct and indirect energy and
   water relationship in the complex economic trade, the trade-based
   energy-water nexus model is built. The regional energy and water
   consumption are inventoried for both consumption and production
   activities. Combining with the interregional monetary flows, the
   embodied energy and water flows are quantified. Finally, the pattern and
   mismatch of embodied energy and water trade is revealed. By the
   analyzing the pattern of the intermediate and fmal embodied water and
   energy trade, we aim to identify the synergies and tradeoffs in existing
   economic trade pathways. The results showed that Guangdong, Shandong,
   Zhejiang, Beijing, Liaoning are top 5 net embodied water (EW) importers,
   while Guangdong, Zhejiang, Beijing, Jiangsu and Shandong are the top 5
   net embodied energy (EE) importers. Jiangsu is a main fmal EE exporter
   and intermediate EE importer. Meanwhile, Xinjiang and Heilongjiang are
   two main intermediate EW exporters. The pattern could provide insights
   for energy and water management from the perspective of suppliers and
   consumers. Copyright (C) 2018 Elsevier Ltd. All rights reserved.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Proceedings Paper}},
Language = {{English}},
Affiliation = {{Chen, B (Corresponding Author), Beijing Normal Univ, State Key Joint Lab Environm Simulat \& Pollut Con, Sch Environm, Beijing 100875, Peoples R China.
   Cao, Tao; Wang, Saige; Chen, Bin, Beijing Normal Univ, State Key Joint Lab Environm Simulat \& Pollut Con, Sch Environm, Beijing 100875, Peoples R China.}},
DOI = {{10.1016/j.egypro.2018.09.124}},
ISSN = {{1876-6102}},
Keywords = {{Energy-water nexus; multiregional input-output analysis; resources
   management; embodied energy; virtual water}},
Keywords-Plus = {{LAND}},
Research-Areas = {{Energy \& Fuels; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Energy \& Fuels; Environmental Sciences}},
Author-Email = {{chenb@bnu.edu.cn}},
Funding-Acknowledgement = {{National Key Research \& Development Program {[}2016YFA0602304];
   National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}71573021, 7171101061]; Specialized Research Fund
   for the Doctoral Program of Higher Education of ChinaSpecialized
   Research Fund for the Doctoral Program of Higher Education (SRFDP)
   {[}20130003110027]; China-EU Joint Project from Ministry of Science and
   Technology of China {[}SQ2013ZOA000022]}},
Funding-Text = {{This work was supported by the National Key Research \& Development
   Program (2016YFA0602304), National Natural Science Foundation of China
   (No. 71573021, 7171101061), Specialized Research Fund for the Doctoral
   Program of Higher Education of China (No. 20130003110027), China-EU
   Joint Project from Ministry of Science and Technology of China (No.
   SQ2013ZOA000022).}},
Cited-References = {{Allan J., 2010, GROUND WATER, V36, P545.
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   Verhoeve A, 2015, LAND USE POLICY, V42, P547, DOI 10.1016/j.landusepol.2014.09.008.
   Wang SG, 2016, APPL ENERG, V178, P773, DOI 10.1016/j.apenergy.2016.06.112.
   Zhang B, 2016, APPL ENERG, V184, P1093, DOI 10.1016/j.apenergy.2015.09.076.
   Zhang X, 2009, ECOLOGICAL MODELING, V220, P245.
   Zhong R, 2014, RESOURCES SCI.}},
Number-of-Cited-References = {{23}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{1}},
Doc-Delivery-Number = {{BM9IL}},
Unique-ID = {{ISI:000470975400045}},
OA = {{Other Gold}},
DA = {{2020-08-06}},
}

@inproceedings{ ISI:000470975400049,
Author = {Wang, Saige and Fang, Delin and Tian, Zhenzhen and Fang, Jiake and Chen,
   Bin},
Editor = {{Wang, H and Wang, X and Yan, J and Wu, J and Yang, Y and Li, H}},
Title = {{Spatial energy-water nexus through economic trade network}},
Booktitle = {{CLEANER ENERGY FOR CLEANER CITIES}},
Series = {{Energy Procedia}},
Year = {{2018}},
Volume = {{152}},
Pages = {{307-311}},
Note = {{Applied Energy Symposium and Forum - Low-Carbon Cities and Urban Energy
   Systems (CUE), Shanghai, PEOPLES R CHINA, JUN 05-07, 2018}},
Organization = {{Appl Energy; Appl Energy Innovat Inst; Tongji Univ; China Assoc Sci \&
   Technol, HOME Program; Malardalen Univ, Future Energy Profile; Shanghai
   Key Lab Urban Regenerat \& Spatial Optimizat Technol; MOE Joint Lab Int
   Cooperat Eco Urban Design; Sichuan Univ; Shanghai Univ Electric Power;
   BEEUE; Int Clean Energy Talent Program; UNiLAB}},
Abstract = {{Energy and water are basic supporting resources for economic
   development. In many regions, energy and water security has been great
   challenge for economic sustainable development, especially in developing
   countries like China. Water security and energy security are intimately
   linked due to their direct and indirect connections in economic
   activities. The indirect connections mean the interactions among
   elements due to the economic trade, which can be illustrated well
   through the embodied water and energy footprint through economic trade.
   The indirect connections play vital role in multi resource management.
   Comparing traditional nexus studies focusing on the system scales, this
   paper built the spatial nexus network to unpack energy and water spatial
   linkage and teleconnection based on the direct and indirect connections.
   Both physical resource trade and virtual resource trade are calculated
   to investigate the energy and water spatial relationship based on the
   control and dependence analyses. By exploring how energy-water nexus
   networks are formed and interacted each other, we aim to provide
   insights for energy-water spatial trade coordinated management.
   Copyright (C) 2018 Elsevier Ltd. All rights reserved.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Proceedings Paper}},
Language = {{English}},
Affiliation = {{Chen, B (Corresponding Author), Beijing Normal Univ, Key Joint Lab Environm Simulat \& Pollut Control, Sch Environm, Beijing 100875, Peoples R China.
   Wang, Saige; Fang, Delin; Tian, Zhenzhen; Chen, Bin, Beijing Normal Univ, Key Joint Lab Environm Simulat \& Pollut Control, Sch Environm, Beijing 100875, Peoples R China.
   Fang, Jiake, Guangxi Univ, Guangxi Key Lab Power Syst Optimizat \& Energy Tec, Nanning 530004, Guangxi, Peoples R China.}},
DOI = {{10.1016/j.egypro.2018.09.130}},
ISSN = {{1876-6102}},
Keywords = {{Spatial reallocation; input-output analysis; China; resource management}},
Keywords-Plus = {{ECOLOGICAL NETWORK; FOOD NEXUS; CHINA; MODEL}},
Research-Areas = {{Energy \& Fuels; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Energy \& Fuels; Environmental Sciences}},
Author-Email = {{chenb@bnu.edu.cn}},
ResearcherID-Numbers = {{Fang, Delin/D-7617-2015}},
ORCID-Numbers = {{Fang, Delin/0000-0003-0238-328X}},
Funding-Acknowledgement = {{National Key Research \& Development Program {[}2016YFA0602304];
   National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}71573021, 7171101061]; Specialized Research Fund
   for the Doctoral Program of Higher Education of ChinaSpecialized
   Research Fund for the Doctoral Program of Higher Education (

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