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Number-of-Cited-References = {{45}},
Times-Cited = {{13}},
Usage-Count-Last-180-days = {{4}},
Usage-Count-Since-2013 = {{42}},
Journal-ISO = {{Ecol. Model.}},
Doc-Delivery-Number = {{GM3GR}},
Unique-ID = {{ISI:000437991600013}},
DA = {{2020-08-06}},
}

@article{ ISI:000440390900037,
Author = {Soulier, Marcel and Pfaff, Matthias and Goldmann, Daniel and Walz,
   Rainer and Geng, Yong and Zhang, Ling and Espinoza, Luis A. Tercero},
Title = {{The Chinese copper cycle: Tracing copper through the economy with
   dynamic substance flow and input-output analysis}},
Journal = {{JOURNAL OF CLEANER PRODUCTION}},
Year = {{2018}},
Volume = {{195}},
Pages = {{435-447}},
Month = {{SEP 10}},
Abstract = {{China has become a major user of copper as well as a producer of copper
   containing products. We present a dynamic model of Chinese copper stocks
   and flows in the period from 1990 to 2015. The model results indicate
   that China's per-capita in-use copper stock has gcown from about 7 kg in
   1990 to close to 60 kg in 2015. At the same time, total copper imports
   have increased from approximately 0.65 Mt per year to close to 10 Mt.
   One of the peculiarities of the Chinese copper cycle is that a
   comparatively large fraction (approximate to 1.4 Mt) of these imports
   are made up of scrap, which China re-processes into new products. At the
   same time, China has relatively low domestic recycling efficiencies. The
   substance flow perspective is extended with national accounting data,
   which allows for a portrayal of the interconnection between copper flows
   and the wider economic structure. It is thus possible to identify the
   economic sectors which not only directly but also indirectly require
   copper for the provision of their goods and services. (C) 2018 Elsevier
   Ltd. All rights reserved.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Pfaff, M; Espinoza, LAT (Corresponding Author), Fraunhofer Inst Syst \& Innovat Res ISI, Karlsruhe, Germany.
   Soulier, Marcel; Pfaff, Matthias; Walz, Rainer; Espinoza, Luis A. Tercero, Fraunhofer Inst Syst \& Innovat Res ISI, Karlsruhe, Germany.
   Goldmann, Daniel, Tech Univ Clausthal, Inst Mineral \& Waste Proc, Waste Disposal \& Geomech, Clausthal Zellerfeld, Germany.
   Geng, Yong, Shanghai Jiao Tong Univ, Sch Environm Sci \& Engn, Shanghai, Peoples R China.
   Zhang, Ling, Nanjing Forestry Univ, Coll Econ \& Management, Nanjing, Jiangsu, Peoples R China.}},
DOI = {{10.1016/j.jclepro.2018.04.243}},
ISSN = {{0959-6526}},
EISSN = {{1879-1786}},
Keywords = {{Material flow analysis (MFA); Dynamic modeling; Copper; Input-output
   analysis; Industrial ecology; Metal cycles}},
Keywords-Plus = {{IN-USE STOCKS; PATTERNS; DEMAND; FUTURE; METALS}},
Research-Areas = {{Science \& Technology - Other Topics; Engineering; Environmental
   Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Engineering, Environmental;
   Environmental Sciences}},
Author-Email = {{matthias.pfaff@isi.fraunhofer.de
   luis.tercero@isi.fraunhofer.de}},
ResearcherID-Numbers = {{Geng, Yong/B-6310-2018}},
ORCID-Numbers = {{Geng, Yong/0000-0002-2284-1375}},
Funding-Acknowledgement = {{International Copper Association (ICA); SINCERE (SINo-European Circular
   Economy and Resource Efficiency) - German DFG {[}WA 3593/1-1]; Natural
   Science Foundation of ChinaNational Natural Science Foundation of China
   {[}71690241]}},
Funding-Text = {{This publication combines results from different projects: modeling of
   regional copper flows, funded by the International Copper Association
   (ICA), and SINCERE (SINo-European Circular Economy and Resource
   Efficiency), funded by the German DFG (Grant No. WA 3593/1-1) and the
   Natural Science Foundation of China (Grant No. 71690241). The authors
   would particularly like to thank Cherry Zhu (ICA China) and Jeff Jiang
   (formerly of ICA China) for providing expertise and logistical support
   in China, and Prof. Han Hao (Tsinghua University), Cherry Zhu and Jeff
   Jiang for facilitating relevant contacts. Many thanks to three anonymous
   reviewers whose comments improved the presentation of our work. Input
   from the International Wrought Copper Council (IWCC) and several
   companies in the Chinese recycling industry is gratefully acknowledged.
   However, statements presented here are not the official opinion/position
   of these organizations/companies. The responsibility for the content of
   this paper remains with the authors.}},
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Number-of-Cited-References = {{71}},
Times-Cited = {{8}},
Usage-Count-Last-180-days = {{6}},
Usage-Count-Since-2013 = {{44}},
Journal-ISO = {{J. Clean Prod.}},
Doc-Delivery-Number = {{GO8ZC}},
Unique-ID = {{ISI:000440390900037}},
DA = {{2020-08-06}},
}

@article{ ISI:000440390900061,
Author = {Wang, Yuan and Bi, Fenfen and Zhang, Zengkai and Zuo, Jian and Zillante,
   George and Du, Huibin and Liu, Huiwen and Li, Jiao},
Title = {{Spatial production fragmentation and PM2.5 related emissions transfer
   through three different trade patterns within China}},
Journal = {{JOURNAL OF CLEANER PRODUCTION}},
Year = {{2018}},
Volume = {{195}},
Pages = {{703-720}},
Month = {{SEP 10}},
Abstract = {{PM2.5 is the major component of severe haze pollution in China. Some
   studies have reported that large scale of PM2.5 related emissions are
   derived from trade activities. However, little research has been carried
   out about the assessment of emissions related to different trade
   patterns, especially the trade related to spatial production
   fragmentation. Based on multi-regional input output model, this study
   analyzed the transfer of PM2.5 related emissions through three different
   trade patterns in China, i.e. the trade of final products (T\_f), the
   trade of intermediate products for the last stage of production (T\_i)
   and the trade for the domestic and global value chain (T\_v). Results
   showed that the trade of intermediate products from inland regions to
   coastal regions in China contributed to additional PM2.5 related
   emissions thereby being in line with the pollution haven hypothesis,
   i.e. a shifting of pollution-intensive industry from countries with
   stringent environmental regulations to countries with weaker
   environmental regulations. In contrast, the trade of final products from
   coastal regions to inland regions generated savings in PM2.5 related
   emissions. The largest share of embodied air pollutants is from T\_v
   trade pattern, which means spatial production fragmentation has become a
   key factor to affect embodied emissions flows. (C) 2018 Elsevier Ltd.
   All rights reserved.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Zhang, ZK (Corresponding Author), Tianjin Univ, Coll Management \& Econ, Tianjin 300072, Peoples R China.
   Zuo, J (Corresponding Author), Univ Adelaide, Sch Architecture \& Built Environm, Adelaide, SA 5005, Australia.
   Zuo, J (Corresponding Author), Univ Adelaide, ECIC, Adelaide, SA 5005, Australia.
   Wang, Yuan; Bi, Fenfen; Liu, Huiwen; Li, Jiao, Tianjin Univ, Sch Environm Sci \& Engn, Tianjin, Peoples R China.
   Zhang, Zengkai; Du, Huibin, Tianjin Univ, Coll Management \& Econ, Tianjin 300072, Peoples R China.
   Zuo, Jian; Zillante, George, Univ Adelaide, Sch Architecture \& Built Environm, Adelaide, SA 5005, Australia.
   Zuo, Jian; Zillante, George, Univ Adelaide, ECIC, Adelaide, SA 5005, Australia.}},
DOI = {{10.1016/j.jclepro.2018.05.195}},
ISSN = {{0959-6526}},
EISSN = {{1879-1786}},
Keywords = {{Spatial production fragmentation; PM2.5 related emissions transfer;
   Multi-regional input-output model; Three trade patterns; China}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; AIR-POLLUTION; CO2}},
Research-Areas = {{Science \& Technology - Other Topics; Engineering; Environmental
   Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Engineering, Environmental;
   Environmental Sciences}},
Author-Email = {{zengkaizhang@tju.edu.cn
   jian.zuo@adelaide.edu.au}},
ORCID-Numbers = {{Zuo, Jian/0000-0002-8279-9666}},
Funding-Acknowledgement = {{Natural Science Foundation of ChinaNational Natural Science Foundation
   of China {[}41571522, 71673198, 71603179]}},
Funding-Text = {{This research has been supported by the Natural Science Foundation of
   China (Grant no. 41571522, no. 71673198 and no. 71603179). The authors
   gratefully acknowledge the assistance of the Institute of Geographical
   Sciences and Natural Resources Research, CAS for regional input-output
   table of China.}},
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Number-of-Cited-References = {{18}},
Times-Cited = {{8}},
Usage-Count-Last-180-days = {{4}},
Usage-Count-Since-2013 = {{49}},
Journal-ISO = {{J. Clean Prod.}},
Doc-Delivery-Number = {{GO8ZC}},
Unique-ID = {{ISI:000440390900061}},
DA = {{2020-08-06}},
}

@article{ ISI:000439047300003,
Author = {Fang, Keyan and Chen, Deliang and Ilvonen, Liisa and Frank, David and
   Pasanen, Leena and Holmstrom, Lasse and Zhao, Yan and Zhang, Peng and
   Seppa, Heikki},
Title = {{Time-varying relationships among oceanic and atmospheric modes: A
   turning point at around 1940}},
Journal = {{QUATERNARY INTERNATIONAL}},
Year = {{2018}},
Volume = {{487}},
Number = {{SI}},
Pages = {{12-25}},
Month = {{SEP 10}},
Abstract = {{Oceanic and atmospheric modes play a key role in modulating climate
   variations, particularly on interannual and interdecadal scales, causing
   an indirect response of regional climate to external forcings. This
   study comprehensively investigated the time-varying linkages among
   dominant oceanic and atmospheric modes of the Pacific and Atlantic areas
   on different timescales using the scale space multiresolution
   correlation analysis. For the Pacific Ocean, the Interdecadal Pacific
   Oscillation (IPO) shows closer matches with the El Nino-Southern
   Oscillation (ENSO) than with the Pacific Decadal Oscillation (PDO). This
   indicates that the ENSO dominates climate variability of the whole
   Pacific Ocean not only on interannual but also on interdecadal scales.
   Interdecadal variations of the IPO appear to be more closely linked to
   southern Pacific Ocean climate before similar to 1940, but become more
   closely linked to northern Pacific Ocean after similar to 1940. The
   shifts on interdecadal connections among northern, tropical and southern
   parts of the Pacific Oceans seems to be related to the phase shifts of
   the IPO/PDO, which may contribute to the cooling trend from 1940s to
   1970s. For the Atlantic Ocean, the Atlantic Multi-decadal Oscillation
   (AMO) is closely linked to the North Atlantic Oscillation (NAO) on the
   interdecadal scale before similar to 1940. (C) 2017 Elsevier Ltd and
   INQUA. All rights reserved.}},
Publisher = {{PERGAMON-ELSEVIER SCIENCE LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Fang, KY (Corresponding Author), Fujian Normal Univ, Coll Geog Sci, Minist Educ, Inst Geog,Key Lab Humid Subtrop Ecogeog Proc, Fuzhou 350007, Fujian, Peoples R China.
   Fang, Keyan, Fujian Normal Univ, Coll Geog Sci, Minist Educ, Inst Geog,Key Lab Humid Subtrop Ecogeog Proc, Fuzhou 350007, Fujian, Peoples R China.
   Chen, Deliang; Zhang, Peng, Univ Gothenburg, Dept Earth Sci, Reg Climate Grp, Box 4605, S-40530 Gothenburg, Sweden.
   Ilvonen, Liisa; Pasanen, Leena; Holmstrom, Lasse, Univ Oulu, Dept Math Sci, Oulu, Finland.
   Ilvonen, Liisa, Univ Helsinki, Dept Geosci \& Geog, POB 64, FIN-00014 Helsinki, Finland.
   Frank, David, Univ Arizona, Lab Tree Ring Res, Tucson, AZ 85721 USA.
   Zhao, Yan; Seppa, Heikki, Chinese Acad Sci, Inst Geog Sci \& Nat Resources Res, Beijing 100101, Peoples R China.}},
DOI = {{10.1016/j.quaint.2017.09.005}},
ISSN = {{1040-6182}},
EISSN = {{1873-4553}},
Keywords = {{Climate teleconnection; Scale space multiresolution analysis; ENSO; IPO;
   AMO; NAO}},
Keywords-Plus = {{NORTH-ATLANTIC OSCILLATION; PACIFIC DECADAL OSCILLATION; MULTIDECADAL
   OSCILLATION; HEMISPHERE SUMMER; PART I; INDEX; ENSO; VARIABILITY;
   CIRCULATION; MODULATION}},
Research-Areas = {{Physical Geography; Geology}},
Web-of-Science-Categories  = {{Geography, Physical; Geosciences, Multidisciplinary}},
ResearcherID-Numbers = {{Frank, David/C-7764-2013
   Chen, Deliang/A-5107-2013
   Zhao, Yan/B-1785-2014
   }},
ORCID-Numbers = {{Chen, Deliang/0000-0003-0288-5618
   Zhao, Yan/0000-0003-1693-9795
   Seppa, Heikki/0000-0003-2494-7955
   Ilvonen, Liisa/0000-0003-1912-9157
   Frank, David/0000-0001-5463-5640}},
Funding-Acknowledgement = {{National Science Foundation of ChinaNational Natural Science Foundation
   of China {[}41471172, U1405231]; Fellowship for Distinguished Young
   Scholars of Fujian Province {[}2015J06008]; Minjiang Special-term
   Professor fellowship; Swedish BECC, MERGE, VR grants and EBOR project}},
Funding-Text = {{This research was funded by the National Science Foundation of China
   (41471172 and U1405231), the Fellowship for Distinguished Young Scholars
   of Fujian Province (2015J06008), the Minjiang Special-term Professor
   fellowship as well as the Swedish BECC, MERGE, VR grants and EBOR
   project.}},
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Number-of-Cited-References = {{46}},
Times-Cited = {{4}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{18}},
Journal-ISO = {{Quat. Int.}},
Doc-Delivery-Number = {{GN4YO}},
Unique-ID = {{ISI:000439047300003}},
DA = {{2020-08-06}},
}

@article{ ISI:000467185600016,
Author = {Parys, Wilfried},
Title = {{Labour values and energy values: some developments on the common
   substance of value since 1867}},
Journal = {{EUROPEAN JOURNAL OF THE HISTORY OF ECONOMIC THOUGHT}},
Year = {{2018}},
Volume = {{25}},
Number = {{5, SI}},
Pages = {{1052-1080}},
Month = {{SEP 3}},
Abstract = {{Marx's Das Kapital (1867) singled out labour as the common substance of
   value in all commodities. Costanza (1980) in Science chose energy and
   propagated energy values (a century after Engels criticised Podolinsky
   on energy). Mainstream economists quickly questioned Marx's logic.
   Pareto advocated simultaneous equations, unaware of their use by
   Muhlpfordt and Dmitriev. Contributions by Charasoff and Potron were also
   overlooked. Already in 1927, Leontief and Sraffa knew how to replace
   labour values by other commodity values. Generalising Sraffa's
   subsystems and using percentage formulas for price-value deviations, I
   discuss some empirical results for labour or energy theories of value.}},
Publisher = {{ROUTLEDGE JOURNALS, TAYLOR \& FRANCIS LTD}},
Address = {{2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Parys, W (Corresponding Author), Univ Antwerp, Dept Econ, Antwerp, Belgium.
   Parys, Wilfried, Univ Antwerp, Dept Econ, Antwerp, Belgium.}},
DOI = {{10.1080/09672567.2018.1523939}},
ISSN = {{0967-2567}},
EISSN = {{1469-5936}},
Keywords = {{Marx; Sraffa; Leontief; Costanza; input-output analysis}},
Keywords-Plus = {{ECONOMY; MODEL}},
Research-Areas = {{Business \& Economics; Social Sciences - Other Topics}},
Web-of-Science-Categories  = {{Economics; History Of Social Sciences}},
Author-Email = {{wilfried.parys@uantwerpen.be}},
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Number-of-Cited-References = {{73}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{2}},
Journal-ISO = {{Eur. J. Hist. Econ. Thought}},
Doc-Delivery-Number = {{HX1XE}},
Unique-ID = {{ISI:000467185600016}},
DA = {{2020-08-06}},
}

@article{ ISI:000474446800008,
Author = {Vujic, S. and Maksimovic, S. and Radosavljvic, M. and Krunic, D. Jagodic},
Title = {{Intersector Modeling and Mining}},
Journal = {{JOURNAL OF MINING SCIENCE}},
Year = {{2018}},
Volume = {{54}},
Number = {{5}},
Pages = {{773-781}},
Month = {{SEP}},
Abstract = {{Intersector models are efficient mathematical and modeling tools, which
   are well studied and widely used in economy. It is contradictory that
   intersector analysis is neglected in mining, especially since no other
   field has accepted and implemented the application of the model of
   operation research as mining did. There are not many satisfactory
   explanations as to why this is so. In order to explain this dilemma,
   this paper is directed at the peculiarities and characteristics of the
   intersector analysis, towards observation of its application in the
   mining industry on the intersector model of the Mining basin of
   Kolubara, which operates in the system of the Electric Power Industry of
   Serbia, and demonstrates the implementation and validation of
   observations and conclusions.}},
Publisher = {{PLEIADES PUBLISHING INC}},
Address = {{PLEIADES PUBLISHING INC, MOSCOW, 00000, RUSSIA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Vujic, S (Corresponding Author), Min Inst Ltd Belgrade, Serbia 11080, Serbia.
   Vujic, S.; Maksimovic, S.; Radosavljvic, M., Min Inst Ltd Belgrade, Serbia 11080, Serbia.
   Krunic, D. Jagodic, Minist Min \& Energy, Serbia 11000, Serbia.}},
DOI = {{10.1134/S106273911805488X}},
ISSN = {{1062-7391}},
EISSN = {{1573-8736}},
Keywords = {{Intersector modeling; input-output analysis; table of input-output
   transactions; mining basin of Kolubara}},
Research-Areas = {{Mining \& Mineral Processing}},
Web-of-Science-Categories  = {{Mining \& Mineral Processing}},
Author-Email = {{slobodan.vujic@ribeograd.ac.rs}},
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Number-of-Cited-References = {{11}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{1}},
Journal-ISO = {{J. Min. Sci.}},
Doc-Delivery-Number = {{IH4FI}},
Unique-ID = {{ISI:000474446800008}},
DA = {{2020-08-06}},
}

@article{ ISI:000461111300003,
Author = {Vavrus, Stephen J.},
Title = {{The Influence of Arctic Amplification on Mid-latitude Weather and
   Climate}},
Journal = {{CURRENT CLIMATE CHANGE REPORTS}},
Year = {{2018}},
Volume = {{4}},
Number = {{3}},
Pages = {{238-249}},
Month = {{SEP}},
Abstract = {{Purpose of Review The rapidly warming Arctic climate may affect weather
   in middle latitudes, but controversies remain as to mechanisms and
   robustness. Here, I synthesize recent advances in this rapidly changing
   field and summarize recommendations on paths forward.
   Recent Findings Initial ``black-and-white{''} debates about whether
   Arctic amplification (AA) affects mid-latitude circulation have evolved
   toward a more nuanced perspective awash in gray. Recent research has
   demonstrated myriad ways in which AA can influence weather remotely and
   explored whether any Arctic-based signal is significant against the
   backdrop of natural variability.
   Summary The popularity of and controversies surrounding this topic have
   spurred a multitude of approaches and often-conflicting studies that
   have widened the envelope of our understanding but hindered a scientific
   consensus. This messy but necessary exploratory phase of independent
   investigations is benefiting from recent efforts by the research
   community to self-organize through workshops, working groups, and
   coordinated experiments.}},
Publisher = {{SPRINGER HEIDELBERG}},
Address = {{TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Vavrus, SJ (Corresponding Author), Univ Wisconsin, Nelson Inst Ctr Climat Res, 1225 West Dayton St, Madison, WI 53706 USA.
   Vavrus, Stephen J., Univ Wisconsin, Nelson Inst Ctr Climat Res, 1225 West Dayton St, Madison, WI 53706 USA.}},
DOI = {{10.1007/s40641-018-0105-2}},
ISSN = {{2198-6061}},
Keywords = {{Arctic amplification; Extreme weather; Teleconnection; Middle latitudes;
   Atmospheric circulation; Polar vortex}},
Keywords-Plus = {{SEA-ICE LOSS; ATMOSPHERIC CIRCULATION RESPONSE; NORTHERN-HEMISPHERE;
   EXTREME WEATHER; PLANETARY-WAVES; POLAR VORTEX; COLD WINTERS; STORM
   TRACK; SNOW COVER; PART I}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{sjvavrus@wisc.edu}},
Funding-Acknowledgement = {{National Science Foundation (NSF)National Science Foundation (NSF)
   {[}PLR-1304398]; National Oceanic and Atmospheric Administration
   (NOAA)National Oceanic Atmospheric Admin (NOAA) - USA {[}NA15OAR4310166]}},
Funding-Text = {{This work was supported by the National Science Foundation (NSF) grant
   PLR-1304398 and National Oceanic and Atmospheric Administration (NOAA)
   grant NA15OAR4310166.}},
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Number-of-Cited-References = {{127}},
Times-Cited = {{23}},
Usage-Count-Last-180-days = {{6}},
Usage-Count-Since-2013 = {{18}},
Journal-ISO = {{Curr. Clim. Chang. Rep.}},
Doc-Delivery-Number = {{HO7HF}},
Unique-ID = {{ISI:000461111300003}},
DA = {{2020-08-06}},
}

@article{ ISI:000455875200003,
Author = {Christiansen, Katrina and Raman, David Raj and Hu, Guiping and Anex,
   Robert},
Title = {{First-order estimates of the costs, input-output energy analysis, and
   energy returns on investment of conventional and emerging biofuels
   feedstocks}},
Journal = {{BIOFUEL RESEARCH JOURNAL-BRJ}},
Year = {{2018}},
Volume = {{5}},
Number = {{4}},
Pages = {{894+}},
Month = {{FAL}},
Abstract = {{Here we report on a static, algebraic, spreadsheet-implemented modeling
   approach to estimate the costs, energy inputs and outputs, and global
   warming potential of biomass feedstocks. Inputs to the model included
   literature sourced data for: environmental factors, crop
   physiological-parameters such as radiation use efficiency and water use
   efficiency, and crop cost components. Using an energy-input-output
   life-cycle-assessment approach, we calculated the energy associated with
   each cost component, allowing an estimate of the total energy required
   to produce the crop and fuel alongside the energy return on investment.
   We did this for crop scenarios in the upper Midwest US and Far West US
   (for algae). Our results suggested that algae are capable of the highest
   areal biomass production rates of 120 MG/(ha.a), ten times greater than
   Maize. Algal fuel systems had the highest costs, ranging from 28 to 65
   US \$/GJ, compared to 17 US \$/GJ for Maize ethanol. Algal fuel systems
   had the lowest energy returns on investment, nearly 0, compared to 25
   for Switchgrass to ethanol. The carbon equivalent emissions associated
   with the production schemes predictions ranged from 40 (Maize) to 180
   (algae PBR) CO2eq/GJ(net). The promise of low cost fuel and carbon
   neutrality from algae is demonstrated here to be extremely challenging
   for fundamental reasons related to the capital-intensive nature of the
   cultivation system. (C) 2018 BRTeam. All rights reserved.}},
Publisher = {{GREEN WAVE PUBL CANADA}},
Address = {{175 KING ST E, APT 1, SAINT JOHN, NEW BRUNSWICK E2L 1G9, CANADA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Christiansen, K (Corresponding Author), Stalende LLC, 310 4th Ave SE, Jamestown, ND 58401 USA.
   Christiansen, Katrina, Stalende LLC, 310 4th Ave SE, Jamestown, ND 58401 USA.
   Raman, David Raj, Iowa State Univ, Dept Agr \& Biosyst Engn, Ames, IA 50011 USA.
   Hu, Guiping, Iowa State Univ, Dept Ind \& Mfg Syst Engn, Ames, IA 50011 USA.
   Anex, Robert, Univ Wisconsin, Dept Syst Engn, Madison, WI USA.}},
DOI = {{10.18331/BRJ2018.5.4.4}},
ISSN = {{2292-8782}},
Keywords = {{Algae; Biofuel; Biomass feedstocks; Bioenergy; LCA; Input-output
   analysis}},
Keywords-Plus = {{CORN STOVER; CHEMICAL-COMPOSITION; MICROALGAL BIOMASS; USE EFFICIENCIES;
   CARBON-DIOXIDE; CLIMATE-CHANGE; SWITCHGRASS; PRODUCTIVITIES;
   RESPIRATION; MISCANTHUS}},
Research-Areas = {{Energy \& Fuels}},
Web-of-Science-Categories  = {{Energy \& Fuels}},
Author-Email = {{katrina.christiansen@stralendellc.com}},
ResearcherID-Numbers = {{Hu, Guiping/AAT-4414-2020}},
ORCID-Numbers = {{Hu, Guiping/0000-0001-8392-8442}},
Funding-Acknowledgement = {{USDA Higher Education Challenge Grant Award {[}20006-38411-17084]; Iowa
   State University Biobased Industry Center Project}},
Funding-Text = {{The work was supported by:; USDA Higher Education Challenge Grant Award:
   \#20006-38411-17084.; Iowa State University Biobased Industry Center
   Project: Costs and Lifecycle Carbon Footprints of Existing and Proposed
   Biofuel Feedstocks: Algae, Miscanthus, Switchgrass, and Corn.}},
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Number-of-Cited-References = {{80}},
Times-Cited = {{11}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{5}},
Journal-ISO = {{Biofuel Res. J.}},
Doc-Delivery-Number = {{HH6XS}},
Unique-ID = {{ISI:000455875200003}},
OA = {{DOAJ Gold, Green Published}},
DA = {{2020-08-06}},
}

@article{ ISI:000438181000031,
Author = {Feng, Kuishuang and Hubacek, Klaus and Liu, Yu and Marchan, Estefania
   and Vogt-Schilb, Adrien},
Title = {{Managing the distributional effects of energy taxes and subsidy removal
   in Latin America and the Caribbean}},
Journal = {{APPLIED ENERGY}},
Year = {{2018}},
Volume = {{225}},
Pages = {{424-436}},
Month = {{SEP 1}},
Abstract = {{Energy subsidies have been criticized due to their economic inefficiency
   and promotion of wasteful usage of energy and associated carbon
   emissions. Conversely, environmental taxes are advocated as efficient
   policy instruments. But removing subsidies and taxing energy can be
   politically challenging because vulnerable households rely on low energy
   prices. This study analyzes the impact of energy price hikes on
   different income groups using an energy-extended input-output approach.
   Our results show that higher-income groups benefit more from low energy
   prices than low-income groups when tracing both direct and indirect
   (supply chain) effects of energy price variations. Energy subsidies are
   a very expensive option to transfer income to poor households. For
   example, in Latin America and the Caribbean, using energy subsidies
   would cost about \$12 to transfer \$1 of income to households in the
   poorest quintile. Recycling a small fraction of fiscal revenues from
   energy subsidy removal or energy taxation could be sufficient to
   compensate vulnerable households from the effects of price hikes. Cash
   transfers to poor households and targeted subsidies for public
   transportation or food are the most effective measures to compensate
   households for welfare loss.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Feng, KS (Corresponding Author), Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA.
   Liu, Y (Corresponding Author), Chinese Acad Sci, Inst Sci \& Dev, Beijing 100190, Peoples R China.
   Feng, Kuishuang; Hubacek, Klaus, Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA.
   Hubacek, Klaus; Vogt-Schilb, Adrien, Masaryk Univ, Dept Environm Studies, Brno, Czech Republic.
   Liu, Yu, Chinese Acad Sci, Inst Sci \& Dev, Beijing 100190, Peoples R China.
   Marchan, Estefania, Interamer Dev Bank, Washington, DC 20577 USA.}},
DOI = {{10.1016/j.apenergy.2018.04.116}},
ISSN = {{0306-2619}},
EISSN = {{1872-9118}},
Keywords = {{Distributional impact; Input-output analysis; Carbon taxes;
   Environmental tax reform; Political acceptability}},
Keywords-Plus = {{TAXATION}},
Research-Areas = {{Energy \& Fuels; Engineering}},
Web-of-Science-Categories  = {{Energy \& Fuels; Engineering, Chemical}},
Author-Email = {{kfeng@umd.edu
   liuyu@casipm.ac.cn}},
ResearcherID-Numbers = {{Hubacek, Klaus/K-3500-2019
   Feng, Kuishuang/Y-2541-2019
   }},
ORCID-Numbers = {{Hubacek, Klaus/0000-0003-2561-6090
   Vogt-Schilb, Adrien/0000-0001-8802-4207}},
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Times-Cited = {{18}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{43}},
Journal-ISO = {{Appl. Energy}},
Doc-Delivery-Number = {{GM5MH}},
Unique-ID = {{ISI:000438181000031}},
DA = {{2020-08-06}},
}

@article{ ISI:000438181000076,
Author = {Chen, Pi-Cheng and Alvarado, Valeria and Hsu, Shu-Chien},
Title = {{Water energy nexus in city and hinterlands: Multi-regional physical
   input-output analysis for Hong Kong and South China}},
Journal = {{APPLIED ENERGY}},
Year = {{2018}},
Volume = {{225}},
Pages = {{986-997}},
Month = {{SEP 1}},
Abstract = {{Most cities import energy and water from their hinterlands. Both the
   nexus in a city and that between the city and its hinterlands should be
   considered for comprehensive management of water and energy. To examine
   the water-energy nexus associated with the city embedded in the
   hinterland, a city-hinterland water-energy mixed-unit input-output
   methodology is proposed to model the effects of growth under different
   water and energy production and consumption scenarios based on the
   growth of the demands for water and energy resources from the city. This
   study presents a demonstration of the water-energy mixed-unit
   input-output approach by analyzing Hong Kong and its associated
   hinterland in mainland China. A Sankey diagram and several indicators
   have been presented to illustrate the water-energy nexus in 2015, as
   well as the nexus for future city growth and the nexus incorporating the
   water and energy infrastructures planned in Hong Kong. Several
   indicators in the results compare the interaction between water and
   energy systems and the dependence on hinterland for different scenarios
   in Hong Kong. The modeling outcomes show that the current water
   infrastructures might be able to meet the demand for water treatment in
   2050. The indicators obtained from this study suggest that all types of
   water for energy and energy for water will increase by 7.8-9\%.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Hsu, SC (Corresponding Author), Hong Kong Polytech Univ, Dept Civil \& Environm Engn, Hong Kong, Hong Kong, Peoples R China.
   Chen, Pi-Cheng, Natl Cheng Kung Univ, Dept Environm Engn, Tainan, Taiwan.
   Alvarado, Valeria; Hsu, Shu-Chien, Hong Kong Polytech Univ, Dept Civil \& Environm Engn, Hong Kong, Hong Kong, Peoples R China.}},
DOI = {{10.1016/j.apenergy.2018.05.083}},
ISSN = {{0306-2619}},
EISSN = {{1872-9118}},
Keywords = {{Water-energy nexus; City; Hinterland; Input-output analysis; Sankey
   diagram}},
Keywords-Plus = {{URBAN; FOOTPRINT; SYSTEMS; MODEL}},
Research-Areas = {{Energy \& Fuels; Engineering}},
Web-of-Science-Categories  = {{Energy \& Fuels; Engineering, Chemical}},
Author-Email = {{mark.hsu@polyu.edu.hk}},
ORCID-Numbers = {{Alvarado, Valeria/0000-0002-3879-3603
   Hsu, Shu-Chien/0000-0002-7232-9839
   Chen, Pi-Cheng/0000-0002-1830-8877}},
Funding-Acknowledgement = {{Hong Kong Grants Council-University Grants Committee {[}15252916]}},
Funding-Text = {{The authors thank the Hong Kong Grants Council-University Grants
   Committee (Grant No. 15252916) for its financial support. The authors
   also appreciate Chor-Man Lam and Ming-Hsiu Chan for providing the model
   and estimated power required for lifting water in Guangdong's source
   water conveying system.}},
Cited-References = {{Bazilian M, 2011, ENERG POLICY, V39, P7896, DOI 10.1016/j.enpol.2011.09.039.
   Census and Statistics Department Hong Kong SAR Government, HONG KONG POP PROJ 2.
   Chen SQ, 2016, APPL ENERG, V184, P905, DOI 10.1016/j.apenergy.2016.03.042.
   CLP Holdings Limited, 2016 SUST REP EN BRI.
   Curmi E, 2013, WATER RESOUR MANAG, V27, P3035, DOI 10.1007/s11269-013-0331-2.
   Drainage Service Department HKSAR, DSD SUST REP 2015 16.
   Duan CC, 2017, APPL ENERG, V194, P725, DOI 10.1016/j.apenergy.2016.05.139.
   Duan CC, 2016, ENRGY PROCED, V104, P183, DOI 10.1016/j.egypro.2016.12.032.
   Electrical \& Mechanical Services Department, 2017, HONG KONG EN END US.
   Ewing BR, 2012, ECOL INDIC, V23, P1, DOI 10.1016/j.ecolind.2012.02.025.
   Fang DL, 2017, APPL ENERG, V189, P770, DOI 10.1016/j.apenergy.2016.04.020.
   Feng K, 2014, RENEW SUST ENERG REV, V39, P342, DOI 10.1016/j.rser.2014.07.080.
   Fulton J, 2015, ENVIRON SCI TECHNOL, V49, P3314, DOI 10.1021/es505034x.
   Hamiche AM, 2016, RENEW SUST ENERG REV, V65, P319, DOI 10.1016/j.rser.2016.07.020.
   HAWKINS T, 2007, 16 INT INP OUTP C IN.
   Hawkins T, 2007, ENVIRON SCI TECHNOL, V41, P1024, DOI 10.1021/es060871u.
   Hering JG, 2013, ENVIRON SCI TECHNOL, V47, P10721, DOI 10.1021/es4007096.
   HK Electric Investments, SUST REP 2016 SETT S.
   Hong Kong and China Gas Company Limited, SUST REP 2016.
   Hu GP, 2013, DESALIN WATER TREAT, V51, P4183, DOI 10.1080/19443994.2013.768038.
   Karnib A., 2016, COMPUT WATER ENERGY, V6, P11.
   Kenway SJ, 2011, WATER SCI TECHNOL, V63, P1983, DOI 10.2166/wst.2011.070.
   Lam CM, 2017, APPL ENERG, V202, P293, DOI 10.1016/j.apenergy.2017.05.095.
   Liu YL, 2016, ENVIRON SCI TECHNOL, V50, P9736, DOI 10.1021/acs.est.6b01065.
   Loubet P, 2014, WATER RES, V67, P187, DOI 10.1016/j.watres.2014.08.048.
   Martinez-Hernandez E, 2017, APPL ENERG, V206, P1009, DOI 10.1016/j.apenergy.2017.09.022.
   Miller R. E., 2009, INPUT OUTPUT ANAL FD.
   Nair S, 2014, RESOUR CONSERV RECY, V89, P1, DOI 10.1016/j.resconrec.2014.05.007.
   Okadera T, 2015, ENERG POLICY, V78, P148, DOI 10.1016/j.enpol.2014.12.029.
   Oliver Smith DTE, TELEGRAPH.
   Qin Y, 2015, ENERG POLICY, V82, P131, DOI 10.1016/j.enpol.2015.03.013.
   Sherwood J, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa83f0.
   Venkatesh G, 2014, ENERGY, V75, P153, DOI 10.1016/j.energy.2014.06.111.
   Wakeel M, 2016, APPL ENERG, V178, P868, DOI 10.1016/j.apenergy.2016.06.114.
   Wang S, 2017, APPL ENERGY.
   Wang SG, 2017, APPL ENERG, V196, P208, DOI 10.1016/j.apenergy.2017.02.011.
   Wang SG, 2016, APPL ENERG, V178, P773, DOI 10.1016/j.apenergy.2016.06.112.
   Water Supply Department HKSAR, ANN REP WAT SUPPL DE.}},
Number-of-Cited-References = {{38}},
Times-Cited = {{22}},
Usage-Count-Last-180-days = {{7}},
Usage-Count-Since-2013 = {{46}},
Journal-ISO = {{Appl. Energy}},
Doc-Delivery-Number = {{GM5MH}},
Unique-ID = {{ISI:000438181000076}},
DA = {{2020-08-06}},
}

@article{ ISI:000445723600005,
Author = {Jarvis, Diane and Stoeckl, Natalie and Hill, Ro and Pert, Petina},
Title = {{Indigenous land and sea management programs: Can they promote regional
   development and help ``close the (income) gap{''}?}},
Journal = {{AUSTRALIAN JOURNAL OF SOCIAL ISSUES}},
Year = {{2018}},
Volume = {{53}},
Number = {{3}},
Pages = {{283-303}},
Month = {{SEP}},
Abstract = {{Throughout the world, there is growing recognition of the important role
   Indigenous people play in natural resource management and conservation.
   Indigenous Land and Sea Management Programs (ILSMPs; which provide funds
   to Indigenous people to support Indigenous land management activities)
   are also known to generate social and economic benefits, although
   relative few of these co-benefits have been quantified. Using northern
   Australia as a case study, we analysed data on ILSMP expenditure within
   three regional input-output tables, learning more about the size and
   distribution of their associated regional economic benefits. We found
   ILSMPs make a significant contribution to regional economieswith
   multipliers commonly exceeding that of other key regional industries
   such as agriculture and mining. We also found ILSMP expenditures make a
   larger contribution to Indigenous household incomes than they do to
   non-Indigenous incomesthus helping to close the (income) gap. They will
   continue to do so, provided the proportion of ILSMP money spent on
   Indigenous (compared to non-Indigenous) incomes does not fall below a
   threshold amount. Ratherthan finding evidence of a trade-off between
   socio-ecological and financial/economic goals, our results suggest
   ILSMPs, known for their ecological importance, can also make a vitally
   important contribution to economic development in rural areas.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Jarvis, D (Corresponding Author), James Cook Univ, Townsville, Qld, Australia.
   Jarvis, D (Corresponding Author), CSIRO Land \& Water, Townsville, Qld, Australia.
   Jarvis, Diane; Stoeckl, Natalie, James Cook Univ, Townsville, Qld, Australia.
   Jarvis, Diane, CSIRO Land \& Water, Townsville, Qld, Australia.
   Hill, Ro, CSIRO Land \& Water, Cairns, Australia.
   Hill, Ro, James Cook Univ, Cairns, Australia.
   Pert, Petina, CSIRO Land \& Water, Pullenvale, Qld, Australia.}},
DOI = {{10.1002/ajs4.44}},
ISSN = {{1839-4655}},
Keywords = {{closing the gap; indigenous advancement; indigenous land and sea
   management programs; input-output analysis; northern Australia
   development}},
Keywords-Plus = {{BIOCULTURAL KNOWLEDGE; RESOURCE-MANAGEMENT; NORTHERN AUSTRALIA; HEALTHY
   COUNTRY; MULTIPLIERS; BENEFITS; PEOPLE}},
Research-Areas = {{Social Issues}},
Web-of-Science-Categories  = {{Social Issues}},
Author-Email = {{diane.jarvis1@jcu.edu.au}},
ResearcherID-Numbers = {{Stoeckl, Natalie E/B-2000-2012
   Jarvis, Diane/R-9166-2017
   Pert, Petina Lesley/F-5211-2010
   Stoeckl, Natalie/AAU-8562-2020
   Hill, Rosemary/A-6954-2011}},
ORCID-Numbers = {{Stoeckl, Natalie E/0000-0001-5899-4771
   Jarvis, Diane/0000-0003-4822-8736
   Pert, Petina Lesley/0000-0002-7738-7691
   Stoeckl, Natalie/0000-0001-5899-4771
   Hill, Rosemary/0000-0002-7426-3132}},
Funding-Acknowledgement = {{Northern Australia Hub of the National Environmental Science Program}},
Funding-Text = {{Northern Australia Hub of the National Environmental Science Program}},
Cited-References = {{Altman J. C., 2001, SUSTAINABLE DEV OPTI.
   Altman J. C., 2007, 2862007 CAEPR AUSTR.
   Australia Committee of Review of Aboriginal Employment and Training Programs, 1985, AB EMPL TRAIN PROGR.
   Australian Bureau of Statistics, 2004, AUSTR NAT ACC INP OU.
   Australian Bureau of Statistics, 2011, CENS DAT.
   Barber M., 2015, RANGERS PLACE WIDER.

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filename: savedrecs (3).bib