text:
Econ, ERENEA ECOBAS, Campus Lagoas Marcosende, Vigo 36310, Galicia, Spain.
   Suris-Regueiro, Juan C., Univ Vigo, Fac Ciencias Econ \& Empresariais, Dept Appl Econ, ERENEA ECOBAS, Campus Lagoas Marcosende, Vigo 36310, Galicia, Spain.
   Santiago, Jose L., Fdn CETMAR, Ctr Tecnol Mar, Fisheries Socioecon Dept, Eduardo Cabello S-N, E-36208 Vigo, Spain.}},
DOI = {{10.1016/j.eiar.2018.01.003}},
ISSN = {{0195-9255}},
EISSN = {{1873-6432}},
Keywords = {{Input-output; Impact assessment; Supply shock; Socioeconomic impacts}},
Keywords-Plus = {{INPUT-OUTPUT MODEL; ENVIRONMENTAL IMPACTS; GHOSH MODEL; INOPERABILITY;
   PRICE}},
Research-Areas = {{Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Environmental Studies}},
Author-Email = {{jsuris@uvigo.es
   jose-luis-santiago@uvigo.es}},
ResearcherID-Numbers = {{Santiago, Jose L./L-4797-2019
   }},
ORCID-Numbers = {{Santiago, Jose L./0000-0002-1379-9478
   Suris Regueiro, Juan Carlos/0000-0002-7675-9553}},
Funding-Acknowledgement = {{European Regional Development Fund (ERDF)European Union (EU)
   {[}ECO2014-52412-11]; Xunta de GaliciaXunta de Galicia {[}GRC2014/022,
   AGRUP2015/08]; Spain's Ministry of Economy and Competitiveness
   {[}ECO2014-52412-R]}},
Funding-Text = {{This work was supported by the European Regional Development Fund (ERDF)
   {[}ECO2014-52412-11], the Xunta de Galicia {[}GRC2014/022 and
   AGRUP2015/08] and the Spain's Ministry of Economy and Competitiveness
   {[}ECO2014-52412-R].}},
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Number-of-Cited-References = {{44}},
Times-Cited = {{2}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{8}},
Journal-ISO = {{Environ. Impact Assess. Rev.}},
Doc-Delivery-Number = {{FW8DP}},
Unique-ID = {{ISI:000425558300010}},
DA = {{2020-08-06}},
}

@article{ ISI:000424920100020,
Author = {Souza, Alexandre and Barbosa Watanabe, Marcos Djun and Cavalett, Otavio
   and Lie Ugaya, Cassia Maria and Bonomi, Antonio},
Title = {{Social life cycle assessment of first and second-generation ethanol
   production technologies in Brazil}},
Journal = {{INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT}},
Year = {{2018}},
Volume = {{23}},
Number = {{3}},
Pages = {{617-628}},
Month = {{MAR}},
Abstract = {{The main goal of this study is to suggest quantitative social metrics to
   evaluate different sugarcane biorefinery systems in Brazil by exploring
   a novel hybrid approach integrating social life cycle assessment and
   input-output analysis.
   Social life cycle assessment is the main methodology for evaluating
   social aspects based on a life-cycle approach. Using this framework, a
   hybrid model integrating social life cycle assessment and input-output
   analysis was introduced to evaluate different social effects of
   biorefinery scenarios considering workers as the stakeholder category.
   Job creation, occupational accidents, wage profile, education profile,
   and gender profile were selected as the main inventory indicators. A
   case study of three scenarios considering variations in agricultural and
   industrial technologies (including sugarcane straw recovery and
   second-generation ethanol production, for instance) was carried out for
   evaluating present first-generation (1G-basic, 1G-optimized) and future
   first- and second-generation ethanol production (1G2G).
   The 1G-basic scenario leads to higher job creation levels over the
   supply chain mainly because of the influence of agricultural stage whose
   workers are mostly employed in sugarcane manual operations. On the other
   hand, 1G-optimized and 1G2G present supply chains are more reliant on
   the manufacturing, trade, and services sectors whose workers are
   associated with a lower level of occupational accidents, higher average
   wages, higher education level, and more participation of women in the
   work force.
   The use of a novel hybrid approach integrating social life cycle
   assessment (SLCA) and input-output analysis (IOA) was useful to
   quantitatively distinguish the social effects over different present and
   future sugarcane biorefinery supply chains. As a consequence, this
   approach is very useful to support decision-making processes aiming to
   improve the sustainability of sugarcane biorefineries taking social
   aspects into account.}},
Publisher = {{SPRINGER HEIDELBERG}},
Address = {{TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Souza, A (Corresponding Author), CNPEM, Lab Nacl Ciencia \& Tecnol Bioetanol CTBE, Caixa Postal 6192, BR-13083970 Campinas, SP, Brazil.
   Souza, Alexandre; Barbosa Watanabe, Marcos Djun; Cavalett, Otavio; Bonomi, Antonio, CNPEM, Lab Nacl Ciencia \& Tecnol Bioetanol CTBE, Caixa Postal 6192, BR-13083970 Campinas, SP, Brazil.
   Lie Ugaya, Cassia Maria, Univ Tecnol Fed Parana UTFPR, Ave Sete Setembro 3165, BR-80230901 Curitiba, Parana, Brazil.
   Lie Ugaya, Cassia Maria, CNPq Fellow, Curitiba, Parana, Brazil.}},
DOI = {{10.1007/s11367-016-1112-y}},
ISSN = {{0948-3349}},
EISSN = {{1614-7502}},
Keywords = {{Ethanol; Input-output analysis; Life cycle assessment; Social
   assessment; Sugarcane}},
Keywords-Plus = {{IMPACTS; FRAMEWORK}},
Research-Areas = {{Engineering; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Engineering, Environmental; Environmental Sciences}},
Author-Email = {{xandsouza@hotmail.com}},
ResearcherID-Numbers = {{Ugaya, Cassia/AAU-8890-2020
   }},
ORCID-Numbers = {{Watanabe, Marcos D.B./0000-0001-9818-7405
   Cavalett, Otavio/0000-0003-4805-2881}},
Funding-Acknowledgement = {{Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior -
   CapesCAPES; Conselho Nacional de Desenvolvimento Cientifico e
   Tecnologico - CNPqNational Council for Scientific and Technological
   Development (CNPq) {[}453921/2014-0]; Fundacao de Amparo a Pesquisa do
   Estado de Sao Paulo - FAPESPFundacao de Amparo a Pesquisa do Estado de
   Sao Paulo (FAPESP) {[}2012/15.359-1, 2010/17139-3]}},
Funding-Text = {{The authors are grateful to Coordenacao de Aperfeicoamento de Pessoal de
   Nivel Superior - Capes, Conselho Nacional de Desenvolvimento Cientifico
   e Tecnologico - CNPq (project 453921/2014-0), and Fundacao de Amparo a
   Pesquisa do Estado de Sao Paulo - FAPESP (projects 2012/15.359-1 and
   2010/17139-3) for the financial support.}},
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Number-of-Cited-References = {{28}},
Times-Cited = {{18}},
Usage-Count-Last-180-days = {{6}},
Usage-Count-Since-2013 = {{39}},
Journal-ISO = {{Int. J. Life Cycle Assess.}},
Doc-Delivery-Number = {{FV9PH}},
Unique-ID = {{ISI:000424920100020}},
DA = {{2020-08-06}},
}

@article{ ISI:000424030100006,
Author = {Nakano, Katsuyuki},
Title = {{Future risk of dengue fever to workforce and industry through global
   supply chain}},
Journal = {{MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE}},
Year = {{2018}},
Volume = {{23}},
Number = {{3}},
Pages = {{433-449}},
Month = {{MAR}},
Abstract = {{The primary vector of the dengue fever virus, the Aedes aegypti
   mosquito, is distributed across the tropical and sub-tropical latitudes;
   however, the area at risk of infection has been expanding steadily. This
   study aimed to identify the industries most vulnerable to the effects of
   dengue fever by 2030. The assessment was done by considering the
   international supply chain, with aspects such as the labor intensity,
   and the relevant geographical and socioeconomic aspects being taken into
   account. In addition, multi-regional input-output tables were employed
   to analyze the ripple effects of productivity losses resulting from
   workers contracting the disease. The results indicate that more than
   10\% of the workers involved in the supply chain of all the major
   industries in the United States (USA), China, Japan, and Germany could
   be considered at risk of contracting dengue fever by 2030. Moreover, the
   risk was even higher in India and Brazil, namely, more than 70\%. The
   effect of widespread dengue fever infection could influence industrial
   activities severely, not only in the regions most at risk (India and
   Brazil) but also in the other regions (USA, Japan, and Germany).
   Labor-intensive industries, such as agriculture, fisheries, and the
   distribution sector are particularly at risk and will have to consider
   appropriate contingency measures. It is recommended that the downstream
   side of the supply chain, the industries in the USA, Japan, and Germany,
   supports the introduction of worker's health management system against
   the infectious disease into their business partners. This study employed
   limited data and only estimated the possible effects of the disease by
   2030. Further comprehensive analysis is required with more data modeled
   for the future to verify and enhance the reliability of the present
   results.}},
Publisher = {{SPRINGER}},
Address = {{VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Nakano, K (Corresponding Author), JEMAI, Chiyoda Ku, 2-1,Kajicho 2 Chome, Tokyo 1010044, Japan.
   Nakano, Katsuyuki, JEMAI, Chiyoda Ku, 2-1,Kajicho 2 Chome, Tokyo 1010044, Japan.}},
DOI = {{10.1007/s11027-017-9741-4}},
ISSN = {{1381-2386}},
EISSN = {{1573-1596}},
Keywords = {{Adaptation; Climate change; Dengue fever; Infectious disease;
   Input-output analysis; Labor risks; Life cycle assessment (LCA);
   Productivity; Supply chain; Trade}},
Keywords-Plus = {{CATEGORIES; HOTSPOTS; DATABASE; IMPACT}},
Research-Areas = {{Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Environmental Sciences}},
Author-Email = {{nakano@jemai.or.jp}},
ORCID-Numbers = {{Nakano, Katsuyuki/0000-0001-5123-5510}},
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Number-of-Cited-References = {{41}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{34}},
Journal-ISO = {{Mitig. Adapt. Strateg. Glob. Chang.}},
Doc-Delivery-Number = {{FU7KD}},
Unique-ID = {{ISI:000424030100006}},
OA = {{Green Published}},
DA = {{2020-08-06}},
}

@article{ ISI:000424962800025,
Author = {Mardones, Cristian and Baeza, Nicolas},
Title = {{Economic and environmental effects of a CO2 tax in Latin American
   countries}},
Journal = {{ENERGY POLICY}},
Year = {{2018}},
Volume = {{114}},
Pages = {{262-273}},
Month = {{MAR}},
Abstract = {{The environmental extension from the Leontief pricing model is used to
   simulate the economic and environmental effects of setting different CO2
   tax rates in three Latin American countries (Brazil, Mexico and Chile).
   It considers a regulatory scenario in which the tax is applied only to
   emissions from the electricity sector and another scenario in which tax
   is applied to emissions from all economic sectors. The results show that
   the effects of a CO2 tax on sectoral prices and emissions in each
   country are very different for the same tax rate, but these effects are
   similar in each country when comparing both regulatory scenarios. This
   is explained by the composition (carbonization) of the electric
   generation (and energy matrix) of each of the countries, which
   significantly affects the effectiveness of CO2 taxes to reduce
   emissions. In addition, the economic sectors most affected by the
   different regulatory scenarios are similar in all countries.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Mardones, C (Corresponding Author), Univ Concepcion, Dept Ind Engn, Edmundo Larenas 217, Concepcion, Chile.
   Mardones, Cristian, Univ Concepcion, Dept Ind Engn, Edmundo Larenas 217, Concepcion, Chile.
   Baeza, Nicolas, Univ Concepcion, Dept Ind Engn, Concepcion, Chile.}},
DOI = {{10.1016/j.enpol.2017.12.001}},
ISSN = {{0301-4215}},
EISSN = {{1873-6777}},
Keywords = {{Leontief price model; Environmental tax; CO2}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; POLLUTION HAVEN HYPOTHESIS; EMISSIONS; CHINA;
   IMPACTS; SECTOR}},
Research-Areas = {{Business \& Economics; Energy \& Fuels; Environmental Sciences \&
   Ecology}},
Web-of-Science-Categories  = {{Economics; Energy \& Fuels; Environmental Sciences; Environmental
   Studies}},
Author-Email = {{crismardones@udec.cl
   nbaeza@udec.cl}},
ResearcherID-Numbers = {{mardones, cristian/AAV-5245-2020}},
ORCID-Numbers = {{mardones, cristian/0000-0002-9389-7368}},
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Number-of-Cited-References = {{34}},
Times-Cited = {{14}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{39}},
Journal-ISO = {{Energy Policy}},
Doc-Delivery-Number = {{FW0DY}},
Unique-ID = {{ISI:000424962800025}},
DA = {{2020-08-06}},
}

@article{ ISI:000424316700027,
Author = {Weinzettel, Jan and Wood, Richard},
Title = {{Environmental Footprints of Agriculture Embodied in International Trade:
   Sensitivity of Harvested Area Footprint of Chinese Exports}},
Journal = {{ECOLOGICAL ECONOMICS}},
Year = {{2018}},
Volume = {{145}},
Pages = {{323-330}},
Month = {{MAR}},
Abstract = {{Consumption-based accounting seeks to link a population's lifestyles to
   their environmental impact. Input-output analysis (IOA) serves well in
   this approach as it covers all traded products, their full supply chains
   and explicitly delineates final consumption. However, using IOA comes at
   the expense of precision due to aggregation error. There has been a
   recent discussion on the plausibility of IOA results of agricultural
   pressures. We look at the harvested area footprint of Chinese exports,
   open the black box of the results of IOA and provide a detailed
   composition of the footprint. This helps to understand whether its size
   is a result of the poor precision of IOA methods, or whether it is based
   on plausible production patterns of the exported products.
   We hybridize the EXIOBASE database, identify the most important exported
   products, apply structural path analysis in order to identify the most
   important production nodes in their production paths and apply a
   sensitivity analysis over the model.
   We show that the results of the hybrid MRIO method are generally robust
   to assumptions. Our results indicate that while the uncertainty of the
   sign of net trade footprint can be high, the uncertainty of national
   environmental footprint accounts is low.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Weinzettel, J (Corresponding Author), Charles Univ Prague, Environm Ctr, Jose Martiho 2, Prague, Czech Republic.
   Weinzettel, Jan, Charles Univ Prague, Environm Ctr, Jose Martiho 2, Prague, Czech Republic.
   Wood, Richard, NTNU, Ind Ecol Program, Trondheim 7491, Norway.}},
DOI = {{10.1016/j.ecolecon.2017.11.013}},
ISSN = {{0921-8009}},
EISSN = {{1873-6106}},
Keywords = {{Environmental footprint; Land footprint; Land use; International trade;
   Multi-regional input-output analysis; MRIO}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; CONSUMPTION; CARBON; NATIONS; DRIVES; LAND}},
Research-Areas = {{Environmental Sciences \& Ecology; Business \& Economics}},
Web-of-Science-Categories  = {{Ecology; Economics; Environmental Sciences; Environmental Studies}},
Author-Email = {{weinzettel@seznam.cz
   richard.wood@ntnu.no}},
ResearcherID-Numbers = {{Wood, Richard/E-4111-2015
   /A-3422-2010}},
ORCID-Numbers = {{Wood, Richard/0000-0002-7906-3324
   /0000-0001-8977-8385}},
Funding-Acknowledgement = {{Czech Science FoundationGrant Agency of the Czech Republic {[}14-05292S,
   17-07140S]; European CommissionEuropean Commission Joint Research Centre
   {[}PCIG13-GA-2013-618520]}},
Funding-Text = {{This work has been supported by the Czech Science Foundation under grant
   number: 14-05292S and 17-07140S and by the European Commission under
   grant number PCIG13-GA-2013-618520.}},
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Number-of-Cited-References = {{35}},
Times-Cited = {{9}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{38}},
Journal-ISO = {{Ecol. Econ.}},
Doc-Delivery-Number = {{FV1JF}},
Unique-ID = {{ISI:000424316700027}},
DA = {{2020-08-06}},
}

@article{ ISI:000424453400006,
Author = {Gokdogan, Osman and Erdogan, Oktay},
Title = {{Evaluation of Energy Balance in Organic Olive (Olea Europaea L.)
   Production in Turkey}},
Journal = {{ERWERBS-OBSTBAU}},
Year = {{2018}},
Volume = {{60}},
Number = {{1}},
Pages = {{47-52}},
Month = {{MAR}},
Abstract = {{The purpose of this study is to evaluate the energy balance of organic
   olive production in AydA +/- n-Karpuzlu Region in Turkey in 2015. In
   order to evaluate the energy input-output of organic olive, data has
   been provided by AydA +/- n-Karpuzlu Organic Olive Producers
   Association. The agricultural input energies and output energies used in
   organic olive production have been calculated to evaluation the energy
   inputs and energy output. According to the research findings, the energy
   inputs in organic olive production have been calculated respectively as
   19,426.95 MJ ha(-1) (50.31\%) diesel fuel energy, 12,960 MJ ha(-1)
   (33.56\%) machinery energy, polyethylene trap energy 3520 MJ ha(-1)
   (9.12\%), 2116.80 MJ ha(-1) (5.48\%) human labour energy, 276.48 MJ
   ha(-1) (0.72\%) electricity energy, 231.60 MJ ha(-1) (0.60\%) organic
   chemical energy and 81.87 MJ ha(-1) (0.21\%) transportation energy.
   Total input energy has been calculated as 38,613.70 MJ ha(-1). Total
   output energy have been calculated as 104,888.78 MJ ha(-1). The energy
   output/input ratio, specific energy, energy productivity and net energy
   calculations have been calculated respectively as 2.72, 4.34 MJ kg(-1),
   0.23 kg MJ(-1) and 66,275.08 MJ ha(-1) in organic olive production.}},
Publisher = {{SPRINGER}},
Address = {{233 SPRING ST, NEW YORK, NY 10013 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Gokdogan, O (Corresponding Author), Univ Nevsehir Haci Bektas Veli, Fac Engn Architecture, Dept Biosyst Engn, TR-50300 Nevsehir, Turkey.
   Gokdogan, Osman; Erdogan, Oktay, Univ Nevsehir Haci Bektas Veli, Fac Engn Architecture, Dept Biosyst Engn, TR-50300 Nevsehir, Turkey.}},
DOI = {{10.1007/s10341-017-0338-6}},
ISSN = {{0014-0309}},
EISSN = {{1439-0302}},
Keywords = {{Energy balance; Organic olive; Specific energy; Turkey}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; CONVENTIONAL FARMING SYSTEMS; ECONOMIC-ANALYSIS;
   TOMATO PRODUCTION; GRAPE PRODUCTION; TOKAT PROVINCE; COST-ANALYSIS;
   AGRICULTURE; EFFICIENCY; IRAN}},
Research-Areas = {{Agriculture}},
Web-of-Science-Categories  = {{Horticulture}},
Author-Email = {{osmangokdogan@gmail.com}},
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Number-of-Cited-References = {{60}},
Times-Cited = {{4}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{19}},
Journal-ISO = {{Erwerbs-Obstbau}},
Doc-Delivery-Number = {{FV3FM}},
Unique-ID = {{ISI:000424453400006}},
DA = {{2020-08-06}},
}

@article{ ISI:000424651700003,
Author = {Chen, Wen and Los, Bart and McCann, Philip and Ortega-Argiles, Raquel
   and Thissen, Mark and van Oort, Frank},
Title = {{The continental divide? Economic exposure to Brexit in regions and
   countries on both sides of The Channel}},
Journal = {{PAPERS IN REGIONAL SCIENCE}},
Year = {{2018}},
Volume = {{97}},
Number = {{1, SI}},
Pages = {{25+}},
Month = {{MAR}},
Abstract = {{In this paper we employ an extension of the World Input-Output Database
   (WIOD) with regional detail for EU countries to study the degree to
   which EU regions and countries are exposed to negative trade-related
   consequences of Brexit. We develop an index of this exposure, which
   incorporates all effects due to geographically fragmented production
   processes within the UK, the EU and beyond. Our findings demonstrate
   that UK regions are far more exposed than regions in other countries.
   Only regions in the Republic of Ireland face exposure levels similar to
   some UK regions, while the next most affected regions are in Germany,
   The Netherlands, Belgium and France. This imbalance may influence the
   outcomes of the negotiations between the UK and the EU.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Ortega-Argiles, R (Corresponding Author), Univ Birmingham, Birmingham Business Sch, City REDI Inst, Ash House, Birmingham B15 2TT, W Midlands, England.
   Chen, Wen; Los, Bart, Univ Groningen, Fac Econ \& Business, NL-9747 AE Groningen, Netherlands.
   McCann, Philip, Univ Sheffield, Sch Management, Sheffield S10 1FL, S Yorkshire, England.
   Ortega-Argiles, Raquel, Univ Birmingham, Birmingham Business Sch, City REDI Inst, Ash House, Birmingham B15 2TT, W Midlands, England.
   Thissen, Mark, PBL Netherlands Environm Assessment Agcy, Postbus 30314, NL-2500 GH The Hague, Netherlands.
   van Oort, Frank, Erasmus Univ, Erasmus Sch Econ, POB 1738, NL-3000 DR Rotterdam, Netherlands.
   van Oort, Frank, Erasmus Univ, IHS, POB 1738, NL-3000 DR Rotterdam, Netherlands.}},
DOI = {{10.1111/pirs.12334}},
ISSN = {{1056-8190}},
EISSN = {{1435-5957}},
Keywords = {{Brexit; input-output analysis; regional differences; trade; value chains}},
Keywords-Plus = {{TRADE}},
Research-Areas = {{Business \& Economics; Environmental Sciences \& Ecology; Geography;
   Public Administration}},
Web-of-Science-Categories  = {{Economics; Environmental Studies; Geography; Regional \& Urban Planning}},
Author-Email = {{r.ortegaargiles@bham.ac.uk}},
ResearcherID-Numbers = {{Ortega-Argiles, Raquel/AAG-1944-2020}},
ORCID-Numbers = {{Ortega-Argiles, Raquel/0000-0002-7783-2230}},
Funding-Acknowledgement = {{ESRC Economic and Social Research Council {[}35587, ES/R00126X/1]}},
Funding-Text = {{ESRC Economic and Social Research Council, Grant/Award Number: 35587 and
   Council reference number ES/R00126X/1}},
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Number-of-Cited-References = {{35}},
Times-Cited = {{36}},
Usage-Count-Last-180-days = {{8}},
Usage-Count-Since-2013 = {{38}},
Journal-ISO = {{Pap. Reg. Sci.}},
Doc-Delivery-Number = {{FV5VY}},
Unique-ID = {{ISI:000424651700003}},
OA = {{Other Gold, Green Accepted, Green Published}},
ESI-Highly-Cited-Paper = {{Y}},
ESI-Hot-Paper = {{N}},
DA = {{2020-08-06}},
}

@article{ ISI:000423648000110,
Author = {Fry, Jacob and Lenzen, Manfred and Jin, Yutong and Wakiyama, Takako and
   Baynes, Timothy and Wiedmann, Thomas and Malik, Arunima and Chen,
   Guangwu and Wang, Yafei and Geschke, Arne and Schandl, Heinz},
Title = {{Assessing carbon footprints of cities under limited information}},
Journal = {{JOURNAL OF CLEANER PRODUCTION}},
Year = {{2018}},
Volume = {{176}},
Pages = {{1254-1270}},
Month = {{MAR 1}},
Abstract = {{City carbon footprints have become an important tool for monitoring the
   progress of cities towards lowering their greenhouse gas emissions and
   contribution to climate change. Cities usually source a major part of
   their natural resource demand from their local, national and global
   hinterland, and cause emissions across the whole global supply chain of
   a city's final demand. It is important that the data underlying carbon
   footprint assessments of cities capture these supply chains adequately
   and comprehensively. In this research, we determine the carbon
   footprints of four Chinese cities, Beijing, Shanghai, Chongqing and
   Tianjin based on different levels of data availability. Using these case
   studies, we show conclusively that city carbon footprint analyses must
   include input-output databases and associated calculus in order to avoid
   severe errors that arise from unacceptable scope limitations caused by
   the truncation of the footprint assessment boundary. We also show that
   city input-output databases must fulfil a number of requirements for
   city comparisons and for informed decision-making to be feasible. Our
   findings suggest.that investment into multi-layered national
   input-output tables and datasets will be necessary to monitor progress
   of cities reducing their greenhouse emissions across the whole supply
   chain and to inform evidence based policy making that guides greenhouse
   abatement. (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 = {{Fry, J (Corresponding Author), Univ Sydney, Sch Phys A28, ISA, Sydney, NSW 2006, Australia.
   Fry, Jacob; Lenzen, Manfred; Jin, Yutong; Wakiyama, Takako; Malik, Arunima; Geschke, Arne, Univ Sydney, Sch Phys A28, ISA, Sydney, NSW 2006, Australia.
   Baynes, Timothy; Schandl, Heinz, CSIRO, Canberra, ACT, Australia.
   Wiedmann, Thomas; Chen, Guangwu, UNSW, Sch Civil \& Environm Engn, Sydney, NSW, Australia.
   Wang, Yafei, Beijing Normal Univ, Sch Stat, Beijing, Peoples R China.
   Wang, Yafei, Beijing Normal Univ, Inst Natl Accounts, Beijing, Peoples R China.
   Schandl, Heinz, Australian Natl Univ, Fenner Sch Environm \& Soc, Canberra, ACT, Australia.}},
DOI = {{10.1016/j.jclepro.2017.11.073}},
ISSN = {{0959-6526}},
EISSN = {{1879-1786}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; GREENHOUSE-GAS EMISSIONS; INTERREGIONAL
   FEEDBACKS; CONSUMPTION; CO2; INVENTORY; MODELS; SYSTEM; TABLES; AREA}},
Research-Areas = {{Science \& Technology - Other Topics; Engineering; Environmental
   Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Engineering, Environmental;
   Environmental Sciences}},
Author-Email = {{jacob.fry@sydney.edu.au}},
ResearcherID-Numbers = {{Wiedmann, Thomas/C-9158-2011
   Baynes, Timothy/D-4738-2011
   Schandl, Heinz/C-5055-2008
   Chen, Guangwu/Y-6560-2019
   }},
ORCID-Numbers = {{Wiedmann, Thomas/0000-0002-6395-8887
   Baynes, Timothy/0000-0001-8416-3365
   Schandl, Heinz/0000-0001-6399-4231
   Chen, Guangwu/0000-0003-2225-2711
   Malik, Arunima/0000-0002-4630-9869
   Fry, Jacob/0000-0002-2349-6745}},
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Number-of-Cited-References = {{95}},
Times-Cited = {{25}},
Usage-Count-Last-180-days = {{5}},
Usage-Count-Since-2013 = {{52}},
Journal-ISO = {{J. Clean Prod.}},
Doc-Delivery-Number = {{FU1ZM}},
Unique-ID = {{ISI:000423648000110}},
DA = {{2020-08-06}},
}

@article{ ISI:000423315400007,
Author = {Batey, Peter W. J.},
Title = {{What Can Demographic-Economic Modeling Tell Us about the Consequences of
   Regional Decline?}},
Journal = {{INTERNATIONAL REGIONAL SCIENCE REVIEW}},
Year = {{2018}},
Volume = {{41}},
Number = {{2, SI}},
Pages = {{256-281}},
Month = {{MAR}},
Abstract = {{The aim of this article is to demonstrate how a particular modeling
   framework, based on extended input-output analysis, can be used to
   obtain a clearer understanding of the impact of regional decline of the
   effects of high, and rising, unemployment; of falling industrial final
   demand; of welfare payments; and of declining population. The
   activity-commodity framework used here provides a systematic way of
   adding demographic variables to the familiar Leontief interindustry
   model and the extended inverse derived from it provides a rich source of
   information about the interaction of demographic and economic change,
   expressed as demographic-economic and economic-demographic multipliers.
   Drawing on the author's research in the 1980s and 1990s, this article
   considers two empirical examples to show the framework's analytical
   value: a simple extended model is used to assess the distributional
   effects of welfare payments in a declining region; and a more elaborate
   version is linked to a set of regional labor market accounts,
   summarizing intercensal change in population and employment. This model
   is used to produce a comprehensive assessment of the effects of
   population and employment change in two UK regions, one a growing region
   (East Anglia) and the other a region in decline (Merseyside). In a final
   section, the benefits and limitations of the extended input-output
   modeling framework are discussed in comparison with some of the
   alternative modeling frameworks that are currently available.}},
Publisher = {{SAGE PUBLICATIONS INC}},
Address = {{2455 TELLER RD, THOUSAND OAKS, CA 91320 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Batey, PWJ (Corresponding Author), Univ Liverpool, Dept Geog \& Planning, 74 Bedford St South, Liverpool L69 7ZQ, Merseyside, England.
   Batey, Peter W. J., Univ Liverpool, Dept Geog \& Planning, 74 Bedford St South, Liverpool L69 7ZQ, Merseyside, England.}},
DOI = {{10.1177/0160017616654741}},
ISSN = {{0160-0176}},
EISSN = {{1552-6925}},
Keywords = {{extended input-output models; regional decline; impact analysis}},
Keywords-Plus = {{ACTIVITY COMMODITY FRAMEWORK}},
Research-Areas = {{Environmental Sciences \& Ecology; Public Administration; Urban Studies}},
Web-of-Science-Categories  = {{Environmental Studies; Regional \& Urban Planning; Urban Studies}},
Author-Email = {{pwjbatey@liv.ac.uk}},
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Number-of-Cited-References = {{45}},
Times-Cited = {{3}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Journal-ISO = {{Int. Reg. Sci. Rev.}},
Doc-Delivery-Number = {{FT7EJ}},
Unique-ID = {{ISI:000423315400007}},
DA = {{2020-08-06}},
}

@article{ ISI:000427774500011,
Author = {Deng, Yue and Jiang, Weiguo and He, Bin and Chen, Zheng and Jia, Kai},
Title = {{Change in Intensity and Frequency of Extreme Precipitation and its
   Possible Teleconnection With Large-Scale Climate Index Over the China
   From 1960 to 2015}},
Journal = {{JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES}},
Year = {{2018}},
Volume = {{123}},
Number = {{4}},
Pages = {{2068-2081}},
Month = {{FEB 27}},
Abstract = {{Understanding the change in intensity and frequency of extreme
   precipitation plays an important role in flood risk mitigation and water
   resource management in China. In this study, we analyzed the abrupt
   changes and long-term trends in extreme precipitation intensity and
   frequency over China from 1960 to 2015 based on daily precipitation from
   stations. The possible teleconnection with large-scale climate index was
   also been investigated. The major results are as follows: (1) 14.72\%
   and 23.51\% of all the stations over China have a change point in
   intensity and frequency, respectively. Moreover, most of change points
   occurred after 1975. (2) Extreme precipitation intensity and frequency
   show similar significant change trends, with a decreasing trend along
   the strip extending the northeast to southwest direction and an
   increasing trend in the two sides of the strip; 56.44\% and 66.23\% of
   all the stations shows the increasing trends in intensity and frequency.
   (3) Large-scale climate indices have more influences on frequency rather
   than intensity. Especially, Dipole Mode Index with 1 year ahead has
   significantly positive correlation with extreme precipitation frequency
   in most areas of China, except for South China.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Jiang, WG (Corresponding Author), Beijing Normal Univ, Fac Geog Sci, Key Lab Environm Change \& Nat Disaster, Beijing, Peoples R China.
   Jiang, WG (Corresponding Author), Beijing Normal Univ, Fac Geog Sci, Beijing Key Lab Remote Sensing Environm \& Digital, Beijing, Peoples R China.
   Deng, Yue; Jiang, Weiguo; Chen, Zheng; Jia, Kai, Beijing Normal Univ, Fac Geog Sci, Key Lab Environm Change \& Nat Disaster, Beijing, Peoples R China.
   Deng, Yue; Jiang, Weiguo; Chen, Zheng; Jia, Kai, Beijing Normal Univ, Fac Geog Sci, Beijing Key Lab Remote Sensing Environm \& Digital, Beijing, Peoples R China.
   He, Bin, Beijing Normal Univ, Coll Global Change \& Earth Syst Sci, Beijing, Peoples R China.}},
DOI = {{10.1002/2017JD027078}},
ISSN = {{2169-897X}},
EISSN = {{2169-8996}},
Keywords-Plus = {{CENTRAL UNITED-STATES; YANGTZE-RIVER BASIN; INDIAN-OCEAN DIPOLE; HEAVY
   PRECIPITATION; INTERANNUAL VARIABILITY; SUMMER MONSOON; RAINFALL;
   TRENDS; SERIES; ENSO}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{jiangweiguo@bnu.edu.cn}},
ResearcherID-Numbers = {{jiang, weiguo/AAM-1192-2020}},
Funding-Acknowledgement = {{National Key Research and Development Program of China
   {[}2017YFB0504105, 2017YFB0504102]; National Natural Science Foundation
   of ChinaNational Natural Science Foundation of China {[}41571077]}},
Funding-Text = {{This work was supported by funds from the National Key Research and
   Development Program of China (2017YFB0504105 and 2017YFB0504102), the
   National Natural Science Foundation of China (41571077). All the authors
   declare no conflict of interest. The data can be obtained freely by the
   websites in the manuscript.}},
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Number-of-Cited-References = {{49}},
Times-Cited = {{14}},
Usage-Count-Last-180-days = {{5}},
Usage-Count-Since-2013 = {{43}},
Journal-ISO = {{J. Geophys. Res.-Atmos.}},
Doc-Delivery-Number = {{FZ7IR}},
Unique-ID = {{ISI:000427774500011}},
DA = {{2020-08-06}},
}

@article{ ISI:000426143300039,
Author = {Chen, Long and Meng, Jing and Liang, Sai and Zhang, Haoran and Zhan, Wei
   and Liu, Maodian and Tong, Yindong and Wang, Huanhuan and Wang, Wei and
   Wang, Xuejun and Shu, Jiong},
Title = {{Trade-Induced Atmospheric Mercury Deposition over China and Implications
   for Demand-Side Controls}},
Journal = {{ENVIRONMENTAL SCIENCE \& TECHNOLOGY}},
Year = {{2018}},
Volume = {{52}},
Number = {{4}},
Pages = {{2036-2045}},
Month = {{FEB 20}},
Abstract = {{Mercury Mercury (Hg) is of global concern because of its adverse effects
   on humans and the environment. In addition to long-range atmospheric
   transport, Hg emissions can be geographically relocated through economic
   trade. Here, we investigate the effect of China's interregional trade on
   atmospheric Hg deposition over China, using an atmospheric transport
   model and multiregional input output analysis. In general, total
   atmospheric Hg deposition over China is 408.8 Mg yr(-1), and 32\% of
   this is embodied in China's interregional trade, with the hotspots
   occurring over Gansu, Henan, Hebei, and Yunnan provinces.
   Interprovincial trade considerably redistributes atmospheric Hg
   deposition over China, with a range in deposition flux from -104\% to
   +28\%. Developed regions, such as the Yangtze River Delta (Shanghai,
   Jiangsu, and Zhejiang) and Guangdong, avoid Hg deposition over their
   geographical boundaries, instead causing additional Hg deposition over
   developing provinces. Bilateral interaction among provinces is strong
   over some regions, suggesting a need for joint mitigation, such as the
   Jing-Jin-Ji region (Beijing, Tianjin, and Hebei) and the Yangtze River
   Delta. Transferring advanced technology from developed regions to their
   developing trade partners would be an effective measure to mitigate
   China's Hg pollution. Our findings are relevant to interprovincial
   efforts to reduce trans -boundary Hg pollution in China.}},
Publisher = {{AMER CHEMICAL SOC}},
Address = {{1155 16TH ST, NW, WASHINGTON, DC 20036 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Shu, J (Corresponding Author), East China Normal Univ, Key Lab Geog Informat Sci, Minist Educ, Shanghai 200241, Peoples R China.
   Shu, J (Corresponding Author), East China Normal Univ, Sch Geog Sci, Shanghai 200241, Peoples R China.
   Wang, XJ (Corresponding Author), Peking Univ, Coll Urban \& Environm Sci, Minist Educ, Lab Earth Surface Proc, Beijing 100871, Peoples R China.
   Chen, Long; Wang, Wei; Shu, Jiong, East China Normal Univ, Key Lab Geog Informat Sci, Minist Educ, Shanghai 200241, Peoples R China.
   Chen, Long; Wang, Wei; Shu, Jiong, East China Normal Univ, Sch Geog Sci, Shanghai 200241, Peoples R China.
   Meng, Jing, Univ East Anglia, Sch Environm Sci, Norwich NR4 7TJ, Norfolk, England.
   Liang, Sai, Beijing Normal Univ, Sch Environm, State Key Joint Lab Environm Simulat \& Pollut Con, Beijing 100875, Peoples R China.
   Zhang, Haoran; Liu, Maodian; Wang, Huanhuan; Wang, Xuejun, Peking Univ, Coll Urban \& Environm Sci, Minist Educ, Lab Earth Surface Proc, Beijing 100871, Peoples R China.
   Zhan, Wei, Renmin Univ China, Sch Environm \& Nat Resources, Beijing 100872, Peoples R China.
   Tong, Yindong, Tianjin Univ, Sch Environm Sci \& Engn, Tianjin 300072, Peoples R China.}},
DOI = {{10.1021/acs.est.7b04607}},
ISSN = {{0013-936X}},
EISSN = {{1520-5851}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; METHYLMERCURY EXPOSURE; CO2 EMISSIONS;
   INTERNATIONAL-TRADE; MODEL; CONSUMPTION; UNCERTAINTIES; DRIVERS;
   NATIONS; FLOWS}},
Research-Areas = {{Engineering; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Engineering, Environmental; Environmental Sciences}},
Author-Email = {{xjwang@urban.pku.edu.cn
   jshu@geo.ecnu.edu.cn}},
ResearcherID-Numbers = {{Meng, Jing/J-9740-2013
   Haoran, Zhang/M-2665-2019
   }},
ORCID-Numbers = {{Meng, Jing/0000-0001-8708-0485
   Haoran, Zhang/0000-0002-4641-0641
   Liang, Sai/0000-0002-6306-5800}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}41701589, 41271055, 41630748, 41571130010,
   41471403]; China Postdoctoral Science FoundationChina Postdoctoral
   Science Foundation {[}2017M611492]; Interdiscipline Research Funds of
   Beijing Normal University; Start-up Funds of Beijing Normal University
   {[}312232104]; High Performance Computer Center of East China Normal
   University}},
Funding-Text = {{The authors thank the editor and anonymous reviewers for their
   thoughtful comments. This study was funded by the National Natural
   Science Foundation of China (41701589, 41271055, 41630748, 41571130010,
   41471403), and China Postdoctoral Science Foundation Grant
   (2017M611492). Sai Liang thanks the financial support of the
   Interdiscipline Research Funds of Beijing Normal University and the
   Start-up Funds of Beijing Normal University (312232104). All map images
   are plotted by GAMAP (Global Atmospheric Model Analysis Package, Version
   2.17; http://acmg.seas.harvard.edu/ gamap/). The computation was
   supported by the High Performance Computer Center of East China Normal
   University.}},
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