A Dynamic Approach to Measuring China’s Provincial Energy Supply Security along “the Belt and Road”
Using a dynamic model from 2005 to 2015, this study assessed China’s energy supply security in the provinces along “the Belt and Road”. Energy supply security was conceptualized across four dimensions: availability, affordability, acceptability, and energy technology and efficiency. A dynamic model...
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Veröffentlicht in: | Mathematical problems in engineering 2018-01, Vol.2018 (2018), p.1-16 |
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description | Using a dynamic model from 2005 to 2015, this study assessed China’s energy supply security in the provinces along “the Belt and Road”. Energy supply security was conceptualized across four dimensions: availability, affordability, acceptability, and energy technology and efficiency. A dynamic model was used to calculate the dynamic weights for each indicator and to examine the variation laws. It was found that the acceptability dimension indicator weights had rapidly increased, indicating that energy supply security had been widely accepted. Smooth weights were found for the availability dimension indicators, indicating that the resources needed to protect basic energy supplies were available. A synthetical energy supply security evaluation index was also analyzed for each “Belt and Road” province using a “quadratic weighting” method, which showed that the index was different in the same provinces in different years and different for different provinces in the same year. For 14 “Belt and Road” provinces, the overall energy supply security was found to have a “V” shape and a general dynamic upward trend, with the trends in the northwest and southeast provinces and along the whole “Belt and Road” found to be consistent. The energy supply security differences between these provinces were analyzed deeply in this paper; it will help us to understand the strengths and weaknesses of energy supply security levels in these provinces. The result will make it easier to cooperate with other provinces or countries along the “Belt and Road” in energy supply. |
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Energy supply security was conceptualized across four dimensions: availability, affordability, acceptability, and energy technology and efficiency. A dynamic model was used to calculate the dynamic weights for each indicator and to examine the variation laws. It was found that the acceptability dimension indicator weights had rapidly increased, indicating that energy supply security had been widely accepted. Smooth weights were found for the availability dimension indicators, indicating that the resources needed to protect basic energy supplies were available. A synthetical energy supply security evaluation index was also analyzed for each “Belt and Road” province using a “quadratic weighting” method, which showed that the index was different in the same provinces in different years and different for different provinces in the same year. For 14 “Belt and Road” provinces, the overall energy supply security was found to have a “V” shape and a general dynamic upward trend, with the trends in the northwest and southeast provinces and along the whole “Belt and Road” found to be consistent. The energy supply security differences between these provinces were analyzed deeply in this paper; it will help us to understand the strengths and weaknesses of energy supply security levels in these provinces. The result will make it easier to cooperate with other provinces or countries along the “Belt and Road” in energy supply.</description><identifier>ISSN: 1024-123X</identifier><identifier>EISSN: 1563-5147</identifier><identifier>DOI: 10.1155/2018/3605024</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Acceptability ; Clean technology ; Climate change ; Coal ; Cooperation ; Crude oil ; Dynamic models ; Energy consumption ; Energy economics ; Energy industry ; Energy measurement ; Energy policy ; Energy technology ; Natural gas ; Nuclear energy ; Nuclear power plants ; Petroleum production ; Provinces ; Security ; Supplies ; Water transportation</subject><ispartof>Mathematical problems in engineering, 2018-01, Vol.2018 (2018), p.1-16</ispartof><rights>Copyright © 2018 Pin Li et al.</rights><rights>Copyright © 2018 Pin Li et al.; This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c360t-46f1b4245167c886f91449641e96226e637ed5d45ea469d081c7cf535f0126f73</citedby><cites>FETCH-LOGICAL-c360t-46f1b4245167c886f91449641e96226e637ed5d45ea469d081c7cf535f0126f73</cites><orcidid>0000-0002-0737-2160 ; 0000-0003-4294-0028</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,27928,27929</link.rule.ids></links><search><contributor>Zhu, Quanxin</contributor><contributor>Quanxin Zhu</contributor><creatorcontrib>Wang, Ping</creatorcontrib><creatorcontrib>Xu, Jian</creatorcontrib><creatorcontrib>Zhang, Jinsuo</creatorcontrib><creatorcontrib>Li, Pin</creatorcontrib><title>A Dynamic Approach to Measuring China’s Provincial Energy Supply Security along “the Belt and Road”</title><title>Mathematical problems in engineering</title><description>Using a dynamic model from 2005 to 2015, this study assessed China’s energy supply security in the provinces along “the Belt and Road”. Energy supply security was conceptualized across four dimensions: availability, affordability, acceptability, and energy technology and efficiency. A dynamic model was used to calculate the dynamic weights for each indicator and to examine the variation laws. It was found that the acceptability dimension indicator weights had rapidly increased, indicating that energy supply security had been widely accepted. Smooth weights were found for the availability dimension indicators, indicating that the resources needed to protect basic energy supplies were available. A synthetical energy supply security evaluation index was also analyzed for each “Belt and Road” province using a “quadratic weighting” method, which showed that the index was different in the same provinces in different years and different for different provinces in the same year. For 14 “Belt and Road” provinces, the overall energy supply security was found to have a “V” shape and a general dynamic upward trend, with the trends in the northwest and southeast provinces and along the whole “Belt and Road” found to be consistent. The energy supply security differences between these provinces were analyzed deeply in this paper; it will help us to understand the strengths and weaknesses of energy supply security levels in these provinces. The result will make it easier to cooperate with other provinces or countries along the “Belt and Road” in energy supply.</description><subject>Acceptability</subject><subject>Clean technology</subject><subject>Climate change</subject><subject>Coal</subject><subject>Cooperation</subject><subject>Crude oil</subject><subject>Dynamic models</subject><subject>Energy consumption</subject><subject>Energy economics</subject><subject>Energy industry</subject><subject>Energy measurement</subject><subject>Energy policy</subject><subject>Energy technology</subject><subject>Natural gas</subject><subject>Nuclear energy</subject><subject>Nuclear power plants</subject><subject>Petroleum production</subject><subject>Provinces</subject><subject>Security</subject><subject>Supplies</subject><subject>Water transportation</subject><issn>1024-123X</issn><issn>1563-5147</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqF0E1LwzAYB_AgCs7pzbMEPGpdkualPc45X2Ci-ALeSkyTLaO2NWmV3vY1BP1y-yRmbODR0_MQfnny5A_AIUZnGDM2IAgng5gjhgjdAj3MeBwxTMV26MNRhEn8sgv2vJ8jRDDDSQ_YIbzoSvlmFRzWtaukmsGmgrda-tbZcgpHM1vK5eLLw3tXfdhSWVnAcandtIOPbV0XoWgVbNNBWVThxnLx3cw0PNdFA2WZw4dK5svFzz7YMbLw-mBT--D5cvw0uo4md1c3o-EkUmHzJqLc4FdKKMNcqCThJsWUppxinXJCuOax0DnLKdOS8jRHCVZCGRYzgzDhRsR9cLyeG37z3mrfZPOqdWV4MiOIEUGR4ElQp2ulXOW90yarnX2TrsswylZhZqsws02YgZ-seUgjl5_2P3201joYbeSfJoinRMS_UyJ-oQ</recordid><startdate>20180101</startdate><enddate>20180101</enddate><creator>Wang, Ping</creator><creator>Xu, Jian</creator><creator>Zhang, Jinsuo</creator><creator>Li, Pin</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0002-0737-2160</orcidid><orcidid>https://orcid.org/0000-0003-4294-0028</orcidid></search><sort><creationdate>20180101</creationdate><title>A Dynamic Approach to Measuring China’s Provincial Energy Supply Security along “the Belt and Road”</title><author>Wang, Ping ; Xu, Jian ; Zhang, Jinsuo ; Li, Pin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c360t-46f1b4245167c886f91449641e96226e637ed5d45ea469d081c7cf535f0126f73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Acceptability</topic><topic>Clean technology</topic><topic>Climate change</topic><topic>Coal</topic><topic>Cooperation</topic><topic>Crude oil</topic><topic>Dynamic models</topic><topic>Energy consumption</topic><topic>Energy economics</topic><topic>Energy industry</topic><topic>Energy measurement</topic><topic>Energy policy</topic><topic>Energy technology</topic><topic>Natural gas</topic><topic>Nuclear energy</topic><topic>Nuclear power plants</topic><topic>Petroleum production</topic><topic>Provinces</topic><topic>Security</topic><topic>Supplies</topic><topic>Water transportation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Ping</creatorcontrib><creatorcontrib>Xu, Jian</creatorcontrib><creatorcontrib>Zhang, Jinsuo</creatorcontrib><creatorcontrib>Li, Pin</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access</collection><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Middle East & Africa Database</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><jtitle>Mathematical problems in engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Ping</au><au>Xu, Jian</au><au>Zhang, Jinsuo</au><au>Li, Pin</au><au>Zhu, Quanxin</au><au>Quanxin Zhu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Dynamic Approach to Measuring China’s Provincial Energy Supply Security along “the Belt and Road”</atitle><jtitle>Mathematical problems in engineering</jtitle><date>2018-01-01</date><risdate>2018</risdate><volume>2018</volume><issue>2018</issue><spage>1</spage><epage>16</epage><pages>1-16</pages><issn>1024-123X</issn><eissn>1563-5147</eissn><abstract>Using a dynamic model from 2005 to 2015, this study assessed China’s energy supply security in the provinces along “the Belt and Road”. Energy supply security was conceptualized across four dimensions: availability, affordability, acceptability, and energy technology and efficiency. A dynamic model was used to calculate the dynamic weights for each indicator and to examine the variation laws. It was found that the acceptability dimension indicator weights had rapidly increased, indicating that energy supply security had been widely accepted. Smooth weights were found for the availability dimension indicators, indicating that the resources needed to protect basic energy supplies were available. A synthetical energy supply security evaluation index was also analyzed for each “Belt and Road” province using a “quadratic weighting” method, which showed that the index was different in the same provinces in different years and different for different provinces in the same year. 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subjects | Acceptability Clean technology Climate change Coal Cooperation Crude oil Dynamic models Energy consumption Energy economics Energy industry Energy measurement Energy policy Energy technology Natural gas Nuclear energy Nuclear power plants Petroleum production Provinces Security Supplies Water transportation |
title | A Dynamic Approach to Measuring China’s Provincial Energy Supply Security along “the Belt and Road” |
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