text:
N = {{1520-0493}},
Keywords-Plus = {{EXTREME WEATHER; CIRCULATION; TELECONNECTION; MORTALITY; FIELD}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{swyeh@hanyang.ac.kr}},
ResearcherID-Numbers = {{Yeh, Sang-Wook/G-3007-2014}},
ORCID-Numbers = {{Yeh, Sang-Wook/0000-0003-4549-1686}},
Funding-Acknowledgement = {{Korea Meteorological Administration Research and Development Program
   {[}KMIPA 2015-2112]; National Strategic Project-Fine particle of the
   National Research Foundation of Korea (NRF) - Ministry of Science and
   ICT (MSIT); Ministry of Environment (ME); Ministry of Health and Welfare
   (MOHW) {[}NRF-2017M3D8A1092022]}},
Funding-Text = {{This work was supported by the Korea Meteorological Administration
   Research and Development Program under Grant KMIPA 2015-2112. SWY is
   also supported by the National Strategic Project-Fine particle of the
   National Research Foundation of Korea (NRF), funded by the Ministry of
   Science and ICT (MSIT), the Ministry of Environment (ME), and by the
   Ministry of Health and Welfare (MOHW) NRF-2017M3D8A1092022.}},
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Number-of-Cited-References = {{34}},
Times-Cited = {{15}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{10}},
Journal-ISO = {{Mon. Weather Rev.}},
Doc-Delivery-Number = {{GI5KS}},
Unique-ID = {{ISI:000434410000011}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000431168900012,
Author = {Wiedmann, Thomas and Lenzen, Manfred},
Title = {{Environmental and social footprints of international trade}},
Journal = {{NATURE GEOSCIENCE}},
Year = {{2018}},
Volume = {{11}},
Number = {{5}},
Pages = {{314-321}},
Month = {{MAY}},
Abstract = {{Globalization has led to an increasing geospatial separation of
   production and consumption, and, as a consequence, to an unprecedented
   displacement of environmental and social impacts through international
   trade. A large proportion of total global impacts can be associated with
   trade, and the trend is rising. Advances in global multi-region
   input-output models have allowed researchers to draw detailed,
   international supply-chain connections between harmful production in
   social and environmental hotspots and affluent consumption in global
   centres of wealth. The general direction of impact displacement is from
   developed to developing countries-an increase of health impacts in China
   from air pollution linked to export production for the United States
   being one prominent example. The relocation of production across
   countries counteracts national mitigation policies and may negate
   ostensible achievements in decoupling impacts from economic growth. A
   comprehensive implementation of the United Nations Sustainable
   Development Goals therefore requires the inclusion of footprint
   indicators to avoid loopholes in national sustainability assessments.}},
Publisher = {{NATURE PUBLISHING GROUP}},
Address = {{75 VARICK ST, 9TH FLR, NEW YORK, NY 10013-1917 USA}},
Type = {{Review}},
Language = {{English}},
Affiliation = {{Wiedmann, T (Corresponding Author), UNSW Sydney, Sch Civil \& Environm Engn, Sustainabil Assessment Program, Sydney, NSW, Australia.
   Wiedmann, T (Corresponding Author), Univ Sydney, Sch Phys A28, ISA, Sydney, NSW, Australia.
   Wiedmann, Thomas, UNSW Sydney, Sch Civil \& Environm Engn, Sustainabil Assessment Program, Sydney, NSW, Australia.
   Wiedmann, Thomas; Lenzen, Manfred, Univ Sydney, Sch Phys A28, ISA, Sydney, NSW, Australia.}},
DOI = {{10.1038/s41561-018-0113-9}},
ISSN = {{1752-0894}},
EISSN = {{1752-0908}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; WATER FOOTPRINT; VIRTUAL WATER; HEALTH IMPACTS;
   RESOURCE FOOTPRINTS; CARBON FOOTPRINT; AIR-POLLUTION; WORLD-ECONOMY;
   GLOBAL LAND; CONSUMPTION}},
Research-Areas = {{Geology}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary}},
Author-Email = {{t.wiedmann@unsw.edu.au}},
ResearcherID-Numbers = {{Wiedmann, Thomas/C-9158-2011
   }},
ORCID-Numbers = {{Wiedmann, Thomas/0000-0002-6395-8887
   Lenzen, Manfred/0000-0002-0828-5288}},
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Number-of-Cited-References = {{131}},
Times-Cited = {{110}},
Usage-Count-Last-180-days = {{43}},
Usage-Count-Since-2013 = {{186}},
Journal-ISO = {{Nat. Geosci.}},
Doc-Delivery-Number = {{GE4EV}},
Unique-ID = {{ISI:000431168900012}},
ESI-Highly-Cited-Paper = {{Y}},
ESI-Hot-Paper = {{Y}},
DA = {{2020-08-06}},
}

@article{ ISI:000430849700024,
Author = {Brinkman, Marnix L. J. and da Cunha, Marcelo P. and Heijnen, Sanne and
   Wicke, Birka and Guilhoto, Joaquim J. M. and Walter, Arnaldo and Faaij,
   Andre P. C. and van der Hilst, Floor},
Title = {{Interregional assessment of socio-economic effects of sugarcane ethanol
   production in Brazil}},
Journal = {{RENEWABLE \& SUSTAINABLE ENERGY REVIEWS}},
Year = {{2018}},
Volume = {{88}},
Pages = {{347-362}},
Month = {{MAY}},
Abstract = {{Brazil is the largest producer of sugarcane ethanol worldwide (28
   billion litres in 2013) and its production is expected to increase
   substantially in the coming years. As the sugarcane ethanol sector
   contributes significantly to the national economy, an expansion of
   production impacts GDP, employment and trade; these impacts are not
   equally distributed throughout the country, nor between income classes.
   These differences between regions and income classes are not well
   understood since previous studies on socio-economic impacts used high
   aggregation levels. The objective of this study is to compare the
   distribution of socioeconomic impacts of sugarcane ethanol production
   expansion in Brazil, including the interregional effects, across three
   microregions in the Centre South and different income classes. The
   spatial distribution of sugarcane for the supply of 54 billion litres of
   ethanol in 2030 was used as input for an interregional input-output
   model. Three scenarios for the quantity and location of sugarcane
   production are studied, based on measures to limit land use (i.e. second
   generation ethanol, higher agricultural yields). The results show that
   expansion of sugarcane ethanol production in Brazil in 2030 could
   increase the national GDP by 2.6 billion USD and employment by 53,000
   fte. In general the microregional benefits of sugarcane expansion
   outweigh the downsides from displaced production of other crops and
   livestock. The microregions also benefit to varying extents from
   sugarcane ethanol expansion outside their borders. Additional employment
   is primarily generated in lower income classes. There are considerable
   differences in the impacts across the regions, these are related to the
   structure of the local economy and the scenario and not only dependent
   on the local potential for sugarcane expansion. Socio-economic impacts
   of biofuel production should thus be studied on lower aggregation levels
   to include these differences in benefits across regions and income
   classes.}},
Publisher = {{PERGAMON-ELSEVIER SCIENCE LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND}},
Type = {{Review}},
Language = {{English}},
Affiliation = {{Brinkman, MLJ (Corresponding Author), Univ Utrecht, Copernicus Inst Sustainable Dev, Heidelberglaan 2, NL-3584 CS Utrecht, Netherlands.
   Brinkman, Marnix L. J.; Heijnen, Sanne; Wicke, Birka; van der Hilst, Floor, Univ Utrecht, Copernicus Inst Sustainable Dev, Heidelberglaan 2, NL-3584 CS Utrecht, Netherlands.
   da Cunha, Marcelo P., Univ Estadual Campinas, Inst Econ, Rua Pitagoras 353, Campinas, SP, Brazil.
   Guilhoto, Joaquim J. M., Univ Sao Paulo, Org Econ Cooperat \& Dev, Fac Econ Adm \& Accounting, Ave Prof Luciano Gualberto 908, Butanta, Brazil.
   Walter, Arnaldo, Univ Estadual Campinas, Fac Mech Engn, Dept Energy, Rua Mendeleyev 200, Campinas, SP, Brazil.
   Faaij, Andre P. C., Univ Groningen, Energy \& Sustainabil Res Inst, Nijenboismrgh 6,POB 221, NL-9700 AE Groningen, Netherlands.}},
DOI = {{10.1016/j.rser.2018.02.014}},
ISSN = {{1364-0321}},
Keywords = {{Input-output analysis; GDP; Employment; Biofuel; Spatial distribution;
   Spill-over effects; Social impacts; Sustainability}},
Keywords-Plus = {{LAND-USE CHANGE; 2ND-GENERATION ETHANOL; SAO-PAULO; SUSTAINABILITY;
   IMPACTS; BIOENERGY; BIOFUELS; INDICATORS; CROPS; EXPERIENCE}},
Research-Areas = {{Science \& Technology - Other Topics; Energy \& Fuels}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Energy \& Fuels}},
Author-Email = {{m.l.j.brinkman@uu.nl
   marcelocunha@eco.unicamp.br
   b.wicke@uu.nl
   joaquim.guilhoto@oecd.org
   awalter@fem.unicamp.br
   a.p.c.faaij@rug.nl
   f.vanderhilst@uu.nl}},
ResearcherID-Numbers = {{Faaij, Andre/AAE-7253-2019
   Guilhoto, Joaquim J M/B-9704-2012
   Faaij, Andre P.C./E-8424-2014
   Walter, Arnaldo C S/O-2701-2014
   }},
ORCID-Numbers = {{Faaij, Andre/0000-0002-1224-5940
   Guilhoto, Joaquim J M/0000-0002-7098-1209
   Pereira da Cunha, Marcelo/0000-0002-1027-1694
   Walter, Arnaldo/0000-0003-4931-1603}},
Funding-Acknowledgement = {{Dutch Ministry of Economic Affairs, Agriculture and Innovation (ELI)
   {[}FES0905]}},
Funding-Text = {{This work was carried out within the Be-Basic R\&D Program, which was
   granted a FES subsidy from the Dutch Ministry of Economic Affairs,
   Agriculture and Innovation (ELI) (FES0905). The authors want to thank
   Gert-Jan Jonker for sharing his model for the cost structures of
   sugarcane and ethanol production in Brazil, Judith Verstegen for running
   the PLUC model and Geert Woltjer for running MAGNET. Ton Markus assisted
   with the illustrations.}},
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Number-of-Cited-References = {{85}},
Times-Cited = {{10}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{8}},
Journal-ISO = {{Renew. Sust. Energ. Rev.}},
Doc-Delivery-Number = {{GD9RH}},
Unique-ID = {{ISI:000430849700024}},
OA = {{Other Gold, Green Published}},
DA = {{2020-08-06}},
}

@article{ ISI:000428828300039,
Author = {Wang, Juan and Li, Lanlan and Li, Fangyi and Kharrazi, Ali and Bai, Yu},
Title = {{Regional footprints and interregional interactions of chemical oxygen
   demand discharges in China}},
Journal = {{RESOURCES CONSERVATION AND RECYCLING}},
Year = {{2018}},
Volume = {{132}},
Pages = {{386-397}},
Month = {{MAY}},
Abstract = {{Chemical Oxygen Demand (COD) is a key indicator of pollutants in waste
   water from the agricultural, industrial and household sectors and its
   abatement has become a key requirement in China. However, the
   distribution of COD discharge and fresh water resources varies
   throughout China. Understanding the spatial pattern and factors
   influencing regional COD discharge in China is vital to efforts in
   reducing regional discharges. Towards this end, using a multi-regional
   input-output model (MRIO), this research quantifies the domestic COD
   footprints (CODF) for individual regions and their interactions in 2010.
   Our results reveal that China's COD discharges were primarily from the
   agricultural sector, with a secondary contribution from the household
   sector. Of the 30 provinces studied, some eastern coastal provinces with
   large CODF, e.g., Shanghai, Tianjin and Jiangsu, were net interregional
   importers. The CODF per capita for the studied regions varied based on
   the final demand, lifestyle affluence, and availability of
   pollution-treatment infrastructure. The virtual COD flow patterns were
   divided into agricultural and industrial discharge, whereby the former
   flow transfers crossed long distances between the western and eastern
   regions of China. A comparison of the regional COD flows and their water
   resources characteristics suggests that Chinese policymakers should
   design and implement a holistic national plan to reduce the country's
   total COD discharge based on supply- and demand-side responsibilities
   especially in net exporter regions that lack fresh water. Furthermore, a
   reduction in the demand for pollution-intensive products and an increase
   in the demand-side reuse and recycling of resources is vital.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Li, FY (Corresponding Author), Hefei Univ Technol, Sch Management, Hefei 230009, Anhui, Peoples R China.
   Wang, Juan; Li, Lanlan; Li, Fangyi; Bai, Yu, Hefei Univ Technol, Sch Management, Hefei 230009, Anhui, Peoples R China.
   Kharrazi, Ali, IIASA, Adv Syst Anal Grp, A-2361 Lazenburg, Austria.
   Kharrazi, Ali, Univ Tokyo, Grad Sch Publ Policy, Tokyo 1130033, Japan.}},
DOI = {{10.1016/j.resconrec.2017.08.008}},
ISSN = {{0921-3449}},
EISSN = {{1879-0658}},
Keywords = {{Regional footprint; COD discharge; Multi-regional input-output analysis;
   China; Reduction policy}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; WATER FOOTPRINT; CARBON FOOTPRINT; DECOMPOSITION
   ANALYSIS; INTERNATIONAL-TRADE; EMISSION TRANSFERS; DOMESTIC TRADE;
   SUPPLY CHAINS; CONSUMPTION; FLOWS}},
Research-Areas = {{Engineering; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Engineering, Environmental; Environmental Sciences}},
Author-Email = {{15256551018@163.com
   kxt428@163.com
   fyli@hfut.edu.cn
   ali@pp.u-tokyo.ac.jp
   wyby1984@163.com}},
ResearcherID-Numbers = {{Kharrazi, Ali/M-4097-2018}},
ORCID-Numbers = {{Kharrazi, Ali/0000-0002-5881-2568}},
Funding-Acknowledgement = {{Natural Science Foundation of ChinaNational Natural Science Foundation
   of China {[}41401126]; Youth Project of Humanities and Social Sciences
   {[}14YJC790061]; Nature Science Foundation of Anhui provinceNatural
   Science Foundation of Anhui Province {[}1508085QG146]}},
Funding-Text = {{This study was supported by the Natural Science Foundation of China
   (41401126), the Youth Project of Humanities and Social Sciences
   conducted by Chinese Ministry of Education (14YJC790061) and the Nature
   Science Foundation of Anhui province (1508085QG146).}},
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Number-of-Cited-References = {{75}},
Times-Cited = {{12}},
Usage-Count-Last-180-days = {{4}},
Usage-Count-Since-2013 = {{28}},
Journal-ISO = {{Resour. Conserv. Recycl.}},
Doc-Delivery-Number = {{GB1RQ}},
Unique-ID = {{ISI:000428828300039}},
DA = {{2020-08-06}},
}

@article{ ISI:000435587100201,
Author = {Huang, Rui and Hubacek, Klaus and Feng, Kuishuang and Li, Xiaojie and
   Zhang, Chao},
Title = {{Re-Examining Embodied SO2 and CO2 Emissions in China}},
Journal = {{SUSTAINABILITY}},
Year = {{2018}},
Volume = {{10}},
Number = {{5}},
Month = {{MAY}},
Abstract = {{CO2 and SO2, while having different environmental impacts, are both
   linked to the burning of fossil fuels. Research on joint patterns of CO2
   emissions and SO2 emissions may provide useful information for
   decision-makers to reduce these emissions effectively. This study
   analyzes both CO2 emissions and SO2 emissions embodied in
   interprovincial trade in 2007 and 2010 using multi-regional input-output
   analysis. Backward and forward linkage analysis shows that Production
   and Supply of Electric Power and Steam, Non-metal Mineral Products, and
   Metal Smelting and Pressing are key sectors for mitigating SO2 and CO2
   emissions along the national supply chain. The total SO2 emissions and
   CO2 emissions of these sectors accounted for 81\% and 76\% of the total
   national SO2 emissions and CO2 emissions, respectively.}},
Publisher = {{MDPI}},
Address = {{ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Huang, R (Corresponding Author), Nanjing Normal Univ, Key Lab Virtual Geog Environm, Minist Educ, Nanjing 210023, Jiangsu, Peoples R China.
   Huang, R (Corresponding Author), Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China.
   Hubacek, K (Corresponding Author), Univ Maryland, Dept Geog Sci, College Pk, MD 20740 USA.
   Hubacek, K (Corresponding Author), Masaryk Univ, Dept Environm Studies, Brno 60200, Czech Republic.
   Huang, Rui, Nanjing Normal Univ, Key Lab Virtual Geog Environm, Minist Educ, Nanjing 210023, Jiangsu, Peoples R China.
   Huang, Rui, Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China.
   Hubacek, Klaus; Feng, Kuishuang, Univ Maryland, Dept Geog Sci, College Pk, MD 20740 USA.
   Hubacek, Klaus, Masaryk Univ, Dept Environm Studies, Brno 60200, Czech Republic.
   Li, Xiaojie, Chinese Univ Hong Kong, Inst Space \& Earth Informat Sci, Hong Hom, Hong Kong, Peoples R China.
   Zhang, Chao, Tongji Univ, Sch Econ \& Management, Shanghai 200092, Peoples R China.}},
DOI = {{10.3390/su10051505}},
Article-Number = {{1505}},
EISSN = {{2071-1050}},
Keywords = {{multi-regional input-output analysis; CO2 emissions; SO2 emissions;
   interregional trade}},
Keywords-Plus = {{PARTICULATE AIR-POLLUTION; INPUT-OUTPUT-ANALYSIS; CARBON EMISSIONS;
   CARDIOVASCULAR MORTALITY; GREENHOUSE GASES; DOMESTIC TRADE; SUPPLY
   CHAINS; LIFE LOST; ENERGY; CONSUMPTION}},
Research-Areas = {{Science \& Technology - Other Topics; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Environmental Sciences;
   Environmental Studies}},
Author-Email = {{huangrui4420@163.com
   hubacek@umd.edu
   kfeng@umd.edu
   Gerrard95hk@gmail.com
   chao\_zhang@tongji.edu.cn}},
ResearcherID-Numbers = {{Feng, Kuishuang/Y-2541-2019
   Hubacek, Klaus/K-3500-2019
   }},
ORCID-Numbers = {{Hubacek, Klaus/0000-0003-2561-6090
   Zhang, Chao/0000-0003-3686-4743}},
Funding-Acknowledgement = {{Chinese National Natural Science FoundationNational Natural Science
   Foundation of China {[}41701615]; Jiangsu Provincial Natural Science
   FoundationNatural Science Foundation of Jiangsu Province {[}BK20171038];
   China Postdoctoral Science FoundationChina Postdoctoral Science
   Foundation {[}2016M600429]; Natural Science Fund for Colleges and
   Universities in Jiangsu Province {[}16KJB170003]}},
Funding-Text = {{This work was supported by the Chinese National Natural Science
   Foundation (41701615), Jiangsu Provincial Natural Science Foundation
   (BK20171038), China Postdoctoral Science Foundation (2016M600429), and
   Natural Science Fund for Colleges and Universities in Jiangsu Province
   (16KJB170003).}},
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Number-of-Cited-References = {{71}},
Times-Cited = {{5}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{12}},
Journal-ISO = {{Sustainability}},
Doc-Delivery-Number = {{GJ7RP}},
Unique-ID = {{ISI:000435587100201}},
OA = {{DOAJ Gold, Green Published}},
DA = {{2020-08-06}},
}

@article{ ISI:000435587100038,
Author = {Wang, Xuecheng and Tang, Xu and Zhang, Baosheng and McLellan, Benjamin
   C. and Lv, Yang},
Title = {{Provincial Carbon Emissions Reduction Allocation Plan in China Based on
   Consumption Perspective}},
Journal = {{SUSTAINABILITY}},
Year = {{2018}},
Volume = {{10}},
Number = {{5}},
Month = {{MAY}},
Abstract = {{China is a country with substantial differences in economic development,
   energy consumption mix, resources, and technologies, as well as the
   development path at the provincial level. Therefore, China's provinces
   have different potential and degrees of difficulty to carry out carbon
   emission reduction (CER) requirements. In addition, interprovincial
   trade, with a large amount of embodied carbon emissions, has become the
   fastest growing driver of China's total carbon emissions. A reasonable
   CER allocation plan is, therefore, crucial for realizing the commitment
   that China announced in the Paris Agreement. How to determine a fair way
   to allocate provincial CER duties has become a significant challenge for
   both policy-makers and researchers. In this paper, ecological network
   analysis (ENA), combined with a multi-regional input-output model
   (MRIO), is adopted to build an ecological network of embodied emissions
   across 30 provinces. Then, by using flow analysis and utility analysis
   based on the ENA model, the specific relationships among different
   provinces were determined, and the amount of responsibility that a
   certain province should take quantified, with respect to the embodied
   carbon emission (ECE) flows from interprovincial trade. As a result, we
   suggest a new CER allocation plan, based on the detailed data of
   interprovincial relationships and ECE flows.}},
Publisher = {{MDPI}},
Address = {{ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Tang, X (Corresponding Author), China Univ Petr, Sch Business Adm, Beijing 102249, Peoples R China.
   Wang, Xuecheng; Tang, Xu; Zhang, Baosheng, China Univ Petr, Sch Business Adm, Beijing 102249, Peoples R China.
   McLellan, Benjamin C., Kyoto Univ, Grad Sch Energy Sci, Sakyo Ku, Yoshida Honmachi, Kyoto 6068501, Japan.
   Lv, Yang, PetroChina Planning \& Engn Inst, 9 Dongzhimen North St, Beijing 100007, Peoples R China.}},
DOI = {{10.3390/su10051342}},
Article-Number = {{1342}},
EISSN = {{2071-1050}},
Keywords = {{carbon emission reduction allocation; embodied carbon emission flow;
   input-output analysis; ecological network analysis}},
Keywords-Plus = {{ECOLOGICAL NETWORK ANALYSIS; ECONOMIC-GROWTH; MODEL DEVELOPMENT; PARIS
   AGREEMENT; CO2; DECOMPOSITION; METABOLISM; EFFICIENCY; SYNERGISM;
   PRODUCER}},
Research-Areas = {{Science \& Technology - Other Topics; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Environmental Sciences;
   Environmental Studies}},
Author-Email = {{wangxuecheng012@163.com
   tangxu2001@163.com
   bshshysh@cup.edu.cn
   b-mclellan@energy.kyoto-u.ac.jp
   ly1988@petrochina.com.cn}},
ResearcherID-Numbers = {{McLellan, Benjamin C/B-7833-2009
   }},
ORCID-Numbers = {{McLellan, Benjamin C/0000-0002-4802-3864
   Tang, Xu/0000-0003-3068-1524}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}71673297, 71303258, 71373285, 71503264]; National
   Social Science Funds of China {[}13ZD159]; Research Fund for the
   Doctoral Program of Higher Education of ChinaResearch Fund for the
   Doctoral Program of Higher Education of China (RFDP)Specialized Research
   Fund for the Doctoral Program of Higher Education (SRFDP)
   {[}20120007120015]; MOE (Ministry of Education in China) Project of
   Humanities and Social Sciences {[}13YJC630148, 15YJC630121]; Science
   Foundation of China University of Petroleum, Beijing {[}ZX20150130]}},
Funding-Text = {{The authors appreciate the National Natural Science Foundation of China
   (71673297, 71303258, 71373285, 71503264), National Social Science Funds
   of China (13\&ZD159), Research Fund for the Doctoral Program of Higher
   Education of China (20120007120015), MOE (Ministry of Education in
   China) Project of Humanities and Social Sciences (13YJC630148,
   15YJC630121), and the Science Foundation of China University of
   Petroleum, Beijing (ZX20150130) for sponsoring this research.}},
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Number-of-Cited-References = {{58}},
Times-Cited = {{4}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{22}},
Journal-ISO = {{Sustainability}},
Doc-Delivery-Number = {{GJ7RP}},
Unique-ID = {{ISI:000435587100038}},
OA = {{DOAJ Gold, Green Published}},
DA = {{2020-08-06}},
}

@article{ ISI:000435587100165,
Author = {Yu, Yan and Han, Qianwen and Tang, Wenwu and Yuan, Yanbin and Tong, Yan},
Title = {{Exploration of the Industrial Spatial Linkages in Urban Agglomerations:
   A Case of Urban Agglomeration in the Middle Reaches of the Yangtze
   River, China}},
Journal = {{SUSTAINABILITY}},
Year = {{2018}},
Volume = {{10}},
Number = {{5}},
Month = {{MAY}},
Abstract = {{The study of industrial spatial linkages of urban agglomerations is
   crucial to recognizing spatial structure and optimizing regional
   division and cooperation. The existing studies often focus on external
   spatial interaction at the inter-city level, but few have considered
   complex internal economic linkages at the inter-sector level. In this
   study, we established an integrated framework by combining the wave
   effect gradient field with the gravity model. The wave effect gradient
   field was used to analyze the inter-sector relation, while the gravity
   model was adopted to explore the spatial interactions of industry at the
   inter-city level. The Urban Agglomeration in the Middle Reaches of the
   Yangtze River (UAMRYR) was taken as a case study, which demonstrates the
   applicability of the proposed framework. The results indicate that there
   exists an imbalanced development in the network of industrial linkages
   in the study region. Each subgroup has presented a self-organized
   spatial linkage network, but the linkages between subgroups are
   immature. Compared with other sectors, the high-tech and internet
   industrial sectors contribute most to economic linkages among cities.
   Thus, policymakers should take actions to strengthen the inter-subgroup
   spatial linkages and give priority to the high-tech industries, which is
   necessary for the integrated and sustainable development of UAMRYR.}},
Publisher = {{MDPI}},
Address = {{ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Yu, Y; Han, QW (Corresponding Author), Wuhan Univ Technol, Sch Resources \& Environm Engn, Dept Reg Planning \& Management, Wuhan 430070, Hubei, Peoples R China.
   Yu, Yan; Han, Qianwen; Yuan, Yanbin; Tong, Yan, Wuhan Univ Technol, Sch Resources \& Environm Engn, Dept Reg Planning \& Management, Wuhan 430070, Hubei, Peoples R China.
   Tang, Wenwu, Univ North Carolina Charlotte, Ctr Appl Geog Informat Sci, Dept Geog \& Earth Sci, Charlotte, NC 28223 USA.}},
DOI = {{10.3390/su10051469}},
Article-Number = {{1469}},
EISSN = {{2071-1050}},
Keywords = {{input-output theory; gravity model; industrial spatial linkage; urban
   agglomeration}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS}},
Research-Areas = {{Science \& Technology - Other Topics; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Environmental Sciences;
   Environmental Studies}},
Author-Email = {{yyhrose@whut.edu.cn
   hanqianwen@whut.edu.cn
   WenwuTang@uncc.edu
   yybjm@126.com
   yaner\_t@163.com}},
ResearcherID-Numbers = {{Tong, Yan/B-3301-2018
   }},
ORCID-Numbers = {{Tong, Yan/0000-0003-2035-8360
   Tang, Wenwu/0000-0001-7870-177X
   Yu, Yan/0000-0002-6089-0784}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}41471339, 41571514]; Fundamental Research Funds
   for the Central Universities of ChinaFundamental Research Funds for the
   Central Universities {[}185208017]}},
Funding-Text = {{This work was supported by the National Natural Science Foundation of
   China (No. 41471339, 41571514) and the Fundamental Research Funds for
   the Central Universities of China (No. 185208017).}},
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Number-of-Cited-References = {{35}},
Times-Cited = {{5}},
Usage-Count-Last-180-days = {{6}},
Usage-Count-Since-2013 = {{31}},
Journal-ISO = {{Sustainability}},
Doc-Delivery-Number = {{GJ7RP}},
Unique-ID = {{ISI:000435587100165}},
OA = {{DOAJ Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000442019700035,
Author = {Zhen, Wei and Qin, Quande and Zhong, Zhangqi and Li, Li and Wei, Yi-Ming},
Title = {{Uncovering household indirect energy-saving responsibility from a
   sectoral perspective: An empirical analysis of Guangdong, China}},
Journal = {{ENERGY ECONOMICS}},
Year = {{2018}},
Volume = {{72}},
Pages = {{451-461}},
Month = {{MAY}},
Abstract = {{Household indirect energy consumption (HIEC) is a major part of
   household energy consumption. It is critical to uncover energy-saving
   responsibilities associated with regional HIEC for China to respond
   climate change. In this study, we investigated the HIEC of Guangdong
   Province in 2012 from a sectoral perspective, using environmentally
   extended input-output analysis. Structural path analysis and sensitivity
   analysis were used to assess the key paths of the different production
   layers (PLs) for total, urban, and rural HIEC. Our results show that:
   (1) there are significant differences between urban and rural HIEC. (2)
   The ``Electricity and Steam Production and Supply{''}, ``Transport,
   Storage, Postal and Telecommunication Services{''}, and ``Residential
   Services{''} sectors are the main drivers of both urban and rural HIEC.
   Furthermore, sectors with large hidden energy-saving responsibilities
   deserve more attentions. (3) Urban HIEC is more complicated than rural
   HIEC, and the first four PLs (PL0 PL1, PL2 and PL3), especially PL0 are
   the most important contributors to HIEC. (4) For PL0 only 11, 11 and 9
   paths result in significant energy-saving for total, urban and rural
   HIEC, respectively. (5) Energy management for high-order PLs is
   sector-dependent and should consider the formation, length, and
   magnitude of the key paths. (C) 2018 Elsevier B.V. All rights reserved.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Qin, QD (Corresponding Author), Shenzhen Univ, Coll Management, Dept Management Sci, Shenzhen 518060, Peoples R China.
   Zhen, Wei; Qin, Quande; Li, Li, Shenzhen Univ, Coll Management, Dept Management Sci, Shenzhen 518060, Peoples R China.
   Qin, Quande, Shenzhen Univ, Inst Urban Governance, Shenzhen 518060, Peoples R China.
   Qin, Quande; Wei, Yi-Ming, Beijing Inst Technol, Ctr Energy \& Environm Policy Res, Beijing 100081, Peoples R China.
   Zhong, Zhangqi, Zhejiang Univ Finance \& Econ, Sch Econ, Hangzhou 310018, Zhejiang, Peoples R China.
   Wei, Yi-Ming, Collaborat Innovat Ctr Elect Vehicles Beijing, Beijing 100081, Peoples R China.}},
DOI = {{10.1016/j.eneco.2018.05.006}},
ISSN = {{0140-9883}},
EISSN = {{1873-6181}},
Keywords = {{Environmentally extended input-output analysis; Household indirect
   energy consumption; Energy-saving responsibility; Structural path
   analysis; Guangdong Province}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; STRUCTURAL PATH-ANALYSIS; CO2 EMISSIONS;
   SENSITIVITY-ANALYSIS; SUPPLY CHAIN; ENVIRONMENTAL-IMPACT; CARBON
   EMISSIONS; LIFE-STYLES; CONSUMPTION; REQUIREMENTS}},
Research-Areas = {{Business \& Economics}},
Web-of-Science-Categories  = {{Economics}},
Author-Email = {{qinquande@gmail.com}},
ORCID-Numbers = {{Qin, Quande/0000-0003-0943-9151}},
Funding-Acknowledgement = {{China Postdoctoral Science FoundationChina Postdoctoral Science
   Foundation {[}2017M620381]; National Natural Science Foundation of
   ChinaNational Natural Science Foundation of China {[}71521002,
   71402103]; National Social Science Fund of China {[}15CJL042]; Natural
   Science Foundation of Guangdong ProvinceNational Natural Science
   Foundation of Guangdong Province {[}2015A030313556]; Natural Science
   Foundation of Zhejiang ProvinceNatural Science Foundation of Zhejiang
   Province {[}LQ17G030004]}},
Funding-Text = {{The authors thank anonymous referees and an editor of this journal for
   their valuable comments and gratefully acknowledge the assistance of
   Prof. Tuomas Mattila for constructive suggestions for the sensitivity
   analysis used in this study. The work is partly supported by China
   Postdoctoral Science Foundation Funded Project (No. 2017M620381),
   National Natural Science Foundation of China (Nos. 71521002 and
   71402103), National Social Science Fund of China (No. 15CJL042), Natural
   Science Foundation of Guangdong Province (No. 2015A030313556) and
   Natural Science Foundation of Zhejiang Province (No. LQ17G030004).}},
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