FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308392023> ?p ?o ?g. }

• W4308392023 endingPage "14588" @default.
• W4308392023 startingPage "14588" @default.
• W4308392023 abstract "In order to understand the source of China’s global influence, the key sectors and important connections in China’s economic and trade networks should be identified. Based on China’s 2002–2018 input–output data, this study uses the entropy weight method to determine weights, and then combines the social network analysis method in order to construct a comprehensive index system for industry status evaluation. Research results indicate that the high-risk financial industry occupies the top position among all industries. Additionally, resource-consuming industries represented by the coal mining industry and highly polluting industries still occupy an important position in China’s economy. Machinery, electronics manufacturing, and other real industries show increasing value-added products, steadily improving technology intensity, and continue to climb the industrial value chain. The conclusions of this study provide a comprehensive and detailed industrial understanding of the formulation of comprehensive and systematic national economic strategies as well as targeted industrial policies to achieve sustainable development." @default.
• W4308392023 created "2022-11-11" @default.
• W4308392023 creator A5017888719 @default.
• W4308392023 creator A5033869547 @default.
• W4308392023 creator A5081098041 @default.
• W4308392023 creator A5081675173 @default.
• W4308392023 creator A5088170519 @default.
• W4308392023 date "2022-11-06" @default.
• W4308392023 modified "2023-09-29" @default.
• W4308392023 title "Comprehensive Evaluation of China’s Input–Output Sector Status Based on the Entropy Weight-Social Network Analysis Method" @default.
• W4308392023 cites W1601881234 @default.
• W4308392023 cites W1641957654 @default.
• W4308392023 cites W1973244832 @default.
• W4308392023 cites W2109469951 @default.
• W4308392023 cites W2176830180 @default.
• W4308392023 cites W2278675707 @default.
• W4308392023 cites W2564183786 @default.
• W4308392023 cites W2621665282 @default.
• W4308392023 cites W2750766302 @default.
• W4308392023 cites W2751144196 @default.
• W4308392023 cites W2767092849 @default.
• W4308392023 cites W2769612646 @default.
• W4308392023 cites W2774421686 @default.
• W4308392023 cites W2805130523 @default.
• W4308392023 cites W2899437186 @default.
• W4308392023 cites W2905494244 @default.
• W4308392023 cites W2923109764 @default.
• W4308392023 cites W2936639403 @default.
• W4308392023 cites W2941305188 @default.
• W4308392023 cites W2946303422 @default.
• W4308392023 cites W2976175463 @default.
• W4308392023 cites W3007692928 @default.
• W4308392023 cites W3018990774 @default.
• W4308392023 cites W3043276774 @default.
• W4308392023 cites W3043310838 @default.
• W4308392023 cites W3080127298 @default.
• W4308392023 cites W3096303972 @default.
• W4308392023 cites W3120907595 @default.
• W4308392023 cites W3125385902 @default.
• W4308392023 cites W4236310553 @default.
• W4308392023 cites W4244387885 @default.
• W4308392023 cites W4293104918 @default.
• W4308392023 cites W2400599883 @default.
• W4308392023 doi "https://doi.org/10.3390/su142114588" @default.
• W4308392023 hasPublicationYear "2022" @default.
• W4308392023 type Work @default.
• W4308392023 citedByCount "5" @default.
• W4308392023 countsByYear W43083920232022 @default.
• W4308392023 countsByYear W43083920232023 @default.
• W4308392023 crossrefType "journal-article" @default.
• W4308392023 hasAuthorship W4308392023A5017888719 @default.
• W4308392023 hasAuthorship W4308392023A5033869547 @default.
• W4308392023 hasAuthorship W4308392023A5081098041 @default.
• W4308392023 hasAuthorship W4308392023A5081675173 @default.
• W4308392023 hasAuthorship W4308392023A5088170519 @default.
• W4308392023 hasBestOaLocation W43083920231 @default.
• W4308392023 hasConcept C10138342 @default.
• W4308392023 hasConcept C106301342 @default.
• W4308392023 hasConcept C121332964 @default.
• W4308392023 hasConcept C127413603 @default.
• W4308392023 hasConcept C134560507 @default.
• W4308392023 hasConcept C136764020 @default.
• W4308392023 hasConcept C144133560 @default.
• W4308392023 hasConcept C145993374 @default.
• W4308392023 hasConcept C162324750 @default.
• W4308392023 hasConcept C162853370 @default.
• W4308392023 hasConcept C166957645 @default.
• W4308392023 hasConcept C175700187 @default.
• W4308392023 hasConcept C17744445 @default.
• W4308392023 hasConcept C182306322 @default.
• W4308392023 hasConcept C191935318 @default.
• W4308392023 hasConcept C198082294 @default.
• W4308392023 hasConcept C199539241 @default.
• W4308392023 hasConcept C205649164 @default.
• W4308392023 hasConcept C206345919 @default.
• W4308392023 hasConcept C2777382242 @default.
• W4308392023 hasConcept C31258907 @default.
• W4308392023 hasConcept C34447519 @default.
• W4308392023 hasConcept C40700 @default.
• W4308392023 hasConcept C41008148 @default.
• W4308392023 hasConcept C518851703 @default.
• W4308392023 hasConcept C542628504 @default.
• W4308392023 hasConcept C548081761 @default.
• W4308392023 hasConcept C552854447 @default.
• W4308392023 hasConcept C62520636 @default.
• W4308392023 hasConceptScore W4308392023C10138342 @default.
• W4308392023 hasConceptScore W4308392023C106301342 @default.
• W4308392023 hasConceptScore W4308392023C121332964 @default.
• W4308392023 hasConceptScore W4308392023C127413603 @default.
• W4308392023 hasConceptScore W4308392023C134560507 @default.
• W4308392023 hasConceptScore W4308392023C136764020 @default.
• W4308392023 hasConceptScore W4308392023C144133560 @default.
• W4308392023 hasConceptScore W4308392023C145993374 @default.
• W4308392023 hasConceptScore W4308392023C162324750 @default.
• W4308392023 hasConceptScore W4308392023C162853370 @default.
• W4308392023 hasConceptScore W4308392023C166957645 @default.
• W4308392023 hasConceptScore W4308392023C175700187 @default.
• W4308392023 hasConceptScore W4308392023C17744445 @default.

• next