FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4384377169> ?p ?o ?g. }

• W4384377169 endingPage "534" @default.
• W4384377169 startingPage "520" @default.
• W4384377169 abstract "The digital economy now drives China’s new economic growth. However, with various industries’ digital transformation (DT), the consequent environmental pollution problems must be addressed. To achieve a better balance between economic growth and environmental protection, digitalization and carbon dioxide (CO2) emissions reduction targets should be achieved. In promoting the DT of manufacturing, it is essential to consider the industry’s CO2 emissions and the CO2 emission spillover effects (CO2SE). This paper first constructs a model of CO2SE generated and suffered in the DT of industries using input–output techniques, i.e., the perpetrator and victim effects, and measures these effects. Then, the cross-sectional inter-industry differences and vertical time-series characteristics are analyzed based on the measurement results. Finally, the convergence test of CO2 emission spillover effects in the digital transformation (CO2SE-DT) of China’s manufacturing industry is conducted, and the test results are analyzed. The research results show that (1) digital infrastructure-dependent and technology-intensive manufacturing have the largest CO2SE-DT, followed by capital-intensive and labor-intensive manufacturing in that order. (2) The whole victim effect in the DT of China’s manufacturing industry shows an “N” trend. In addition, according to the time-series changes of the perpetrator effect in the DT of China’s manufacturing industry between 2000 and 2014, China’s manufacturing industry can be classified into three types: stable, fluctuating downward, and fluctuating upward, among which the fluctuating upward type is the key industry of concern for CO2 emissions. (3) There is no gradual decrease in the industry differences in CO2SE-DT of China’s manufacturing industry, but manufacturing industries with low CO2SE-DT levels have faster growth rates compared with high-level manufacturing industries and eventually achieve convergence of CO2SE-DT rate of change. However, there is a significant difference in the results of the industry difference analysis for different types of manufacturing industries." @default.
• W4384377169 created "2023-07-15" @default.
• W4384377169 creator A5061313869 @default.
• W4384377169 creator A5082304457 @default.
• W4384377169 creator A5088174174 @default.
• W4384377169 creator A5092473989 @default.
• W4384377169 date "2023-11-01" @default.
• W4384377169 modified "2023-09-30" @default.
• W4384377169 title "CO2 emission spillover effects in the digital transformation of China’s manufacturing industry and its inter-industry differences" @default.
• W4384377169 cites W115303664 @default.
• W4384377169 cites W1985160290 @default.
• W4384377169 cites W2007460166 @default.
• W4384377169 cites W2022875322 @default.
• W4384377169 cites W2022915989 @default.
• W4384377169 cites W2030373344 @default.
• W4384377169 cites W2031521060 @default.
• W4384377169 cites W2044447150 @default.
• W4384377169 cites W2052255680 @default.
• W4384377169 cites W2070631858 @default.
• W4384377169 cites W2072249300 @default.
• W4384377169 cites W2076861582 @default.
• W4384377169 cites W2085565080 @default.
• W4384377169 cites W2089421905 @default.
• W4384377169 cites W2100395646 @default.
• W4384377169 cites W2142117488 @default.
• W4384377169 cites W2160021985 @default.
• W4384377169 cites W2176769801 @default.
• W4384377169 cites W2199508110 @default.
• W4384377169 cites W2725163134 @default.
• W4384377169 cites W2771489296 @default.
• W4384377169 cites W2810219195 @default.
• W4384377169 cites W3005230747 @default.
• W4384377169 cites W3037475522 @default.
• W4384377169 cites W3092302183 @default.
• W4384377169 cites W3122151903 @default.
• W4384377169 cites W3184781761 @default.
• W4384377169 cites W3205330927 @default.
• W4384377169 cites W4210642605 @default.
• W4384377169 cites W4213320392 @default.
• W4384377169 cites W4225698758 @default.
• W4384377169 cites W4281682129 @default.
• W4384377169 cites W4282915054 @default.
• W4384377169 cites W4283574448 @default.
• W4384377169 doi "https://doi.org/10.1016/j.egyr.2023.06.016" @default.
• W4384377169 hasPublicationYear "2023" @default.
• W4384377169 type Work @default.
• W4384377169 citedByCount "1" @default.
• W4384377169 countsByYear W43843771692023 @default.
• W4384377169 crossrefType "journal-article" @default.
• W4384377169 hasAuthorship W4384377169A5061313869 @default.
• W4384377169 hasAuthorship W4384377169A5082304457 @default.
• W4384377169 hasAuthorship W4384377169A5088174174 @default.
• W4384377169 hasAuthorship W4384377169A5092473989 @default.
• W4384377169 hasBestOaLocation W43843771691 @default.
• W4384377169 hasConcept C144133560 @default.
• W4384377169 hasConcept C162324750 @default.
• W4384377169 hasConcept C162853370 @default.
• W4384377169 hasConcept C164790872 @default.
• W4384377169 hasConcept C166957645 @default.
• W4384377169 hasConcept C175444787 @default.
• W4384377169 hasConcept C175700187 @default.
• W4384377169 hasConcept C17744445 @default.
• W4384377169 hasConcept C191935318 @default.
• W4384377169 hasConcept C199539241 @default.
• W4384377169 hasConcept C2778348673 @default.
• W4384377169 hasConcept C34447519 @default.
• W4384377169 hasConcept C40700 @default.
• W4384377169 hasConcept C55527203 @default.
• W4384377169 hasConcept C83646750 @default.
• W4384377169 hasConcept C95457728 @default.
• W4384377169 hasConceptScore W4384377169C144133560 @default.
• W4384377169 hasConceptScore W4384377169C162324750 @default.
• W4384377169 hasConceptScore W4384377169C162853370 @default.
• W4384377169 hasConceptScore W4384377169C164790872 @default.
• W4384377169 hasConceptScore W4384377169C166957645 @default.
• W4384377169 hasConceptScore W4384377169C175444787 @default.
• W4384377169 hasConceptScore W4384377169C175700187 @default.
• W4384377169 hasConceptScore W4384377169C17744445 @default.
• W4384377169 hasConceptScore W4384377169C191935318 @default.
• W4384377169 hasConceptScore W4384377169C199539241 @default.
• W4384377169 hasConceptScore W4384377169C2778348673 @default.
• W4384377169 hasConceptScore W4384377169C34447519 @default.
• W4384377169 hasConceptScore W4384377169C40700 @default.
• W4384377169 hasConceptScore W4384377169C55527203 @default.
• W4384377169 hasConceptScore W4384377169C83646750 @default.
• W4384377169 hasConceptScore W4384377169C95457728 @default.
• W4384377169 hasLocation W43843771691 @default.
• W4384377169 hasOpenAccess W4384377169 @default.
• W4384377169 hasPrimaryLocation W43843771691 @default.
• W4384377169 hasRelatedWork W1576286844 @default.
• W4384377169 hasRelatedWork W1975340460 @default.
• W4384377169 hasRelatedWork W2054970860 @default.
• W4384377169 hasRelatedWork W2148147791 @default.
• W4384377169 hasRelatedWork W2354445798 @default.
• W4384377169 hasRelatedWork W2359599927 @default.
• W4384377169 hasRelatedWork W2366851188 @default.
• W4384377169 hasRelatedWork W2367106701 @default.
• W4384377169 hasRelatedWork W2392499073 @default.

• next