Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386325344> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W4386325344 endingPage "13138" @default.
- W4386325344 startingPage "13138" @default.
- W4386325344 abstract "The problem of agricultural surface pollution is becoming increasingly prominent, directly impeding the realization of the goals of “industrial prosperity and ecological livability” in the strategy of rural revitalization. To thoroughly analyze the impact of Digital Rural Construction on agricultural surface pollution and to effectively strengthen the prevention and control measures, the Moran index was used to assess the influence of agricultural surface pollution in 31 provinces and cities across China. The Moran index was employed to conduct global and local spatial autocorrelation analysis of agricultural surface source pollution, and a panel quantile autoregressive model was constructed to explore the effects of Digital Rural Construction on such pollution. The results show the following: (1) agricultural surface pollution in each province and city exhibits spatial spillover effects that are growing stronger; (2) the spatial impact of agricultural surface pollution on neighboring provinces and cities follows an inverted U-shaped pattern at different levels of pollution; (3) the relationship between the degree of agricultural surface pollution and the impact of Digital Rural Construction on it also follows an inverted U-shaped pattern, wherein improvements are observed as the pollution levels deepen. When the level of agricultural surface pollution is located in the quartile point 0.1, the improvement effect of Digital Rural Construction on agricultural surface pollution is small (0.0484), as the quartile point increases, the improvement effect is gradually increased, and it reaches the maximum value at the quartile point 0.5 (0.523), and the coefficient of agricultural surface pollution decreases to the minimum value at the quartile point 0.9 (0.423)." @default.
- W4386325344 created "2023-09-01" @default.
- W4386325344 creator A5002717172 @default.
- W4386325344 creator A5016972291 @default.
- W4386325344 creator A5035248224 @default.
- W4386325344 creator A5041886511 @default.
- W4386325344 creator A5059745021 @default.
- W4386325344 creator A5079706175 @default.
- W4386325344 date "2023-08-31" @default.
- W4386325344 modified "2023-09-29" @default.
- W4386325344 title "Can Digital Rural Construction Improve China’s Agricultural Surface Pollution? Autoregressive Modeling Based on Spatial Quartiles" @default.
- W4386325344 cites W2009246005 @default.
- W4386325344 cites W2037543732 @default.
- W4386325344 cites W3113576675 @default.
- W4386325344 cites W3121381193 @default.
- W4386325344 cites W4200005704 @default.
- W4386325344 cites W4220690021 @default.
- W4386325344 cites W4223434790 @default.
- W4386325344 cites W4287553677 @default.
- W4386325344 cites W4308119157 @default.
- W4386325344 doi "https://doi.org/10.3390/su151713138" @default.
- W4386325344 hasPublicationYear "2023" @default.
- W4386325344 type Work @default.
- W4386325344 citedByCount "0" @default.
- W4386325344 crossrefType "journal-article" @default.
- W4386325344 hasAuthorship W4386325344A5002717172 @default.
- W4386325344 hasAuthorship W4386325344A5016972291 @default.
- W4386325344 hasAuthorship W4386325344A5035248224 @default.
- W4386325344 hasAuthorship W4386325344A5041886511 @default.
- W4386325344 hasAuthorship W4386325344A5059745021 @default.
- W4386325344 hasAuthorship W4386325344A5079706175 @default.
- W4386325344 hasBestOaLocation W43863253441 @default.
- W4386325344 hasConcept C118518473 @default.
- W4386325344 hasConcept C159620131 @default.
- W4386325344 hasConcept C166957645 @default.
- W4386325344 hasConcept C18903297 @default.
- W4386325344 hasConcept C191935318 @default.
- W4386325344 hasConcept C205649164 @default.
- W4386325344 hasConcept C2778304055 @default.
- W4386325344 hasConcept C2778330403 @default.
- W4386325344 hasConcept C2909468537 @default.
- W4386325344 hasConcept C39432304 @default.
- W4386325344 hasConcept C521259446 @default.
- W4386325344 hasConcept C526734887 @default.
- W4386325344 hasConcept C62649853 @default.
- W4386325344 hasConcept C86803240 @default.
- W4386325344 hasConceptScore W4386325344C118518473 @default.
- W4386325344 hasConceptScore W4386325344C159620131 @default.
- W4386325344 hasConceptScore W4386325344C166957645 @default.
- W4386325344 hasConceptScore W4386325344C18903297 @default.
- W4386325344 hasConceptScore W4386325344C191935318 @default.
- W4386325344 hasConceptScore W4386325344C205649164 @default.
- W4386325344 hasConceptScore W4386325344C2778304055 @default.
- W4386325344 hasConceptScore W4386325344C2778330403 @default.
- W4386325344 hasConceptScore W4386325344C2909468537 @default.
- W4386325344 hasConceptScore W4386325344C39432304 @default.
- W4386325344 hasConceptScore W4386325344C521259446 @default.
- W4386325344 hasConceptScore W4386325344C526734887 @default.
- W4386325344 hasConceptScore W4386325344C62649853 @default.
- W4386325344 hasConceptScore W4386325344C86803240 @default.
- W4386325344 hasIssue "17" @default.
- W4386325344 hasLocation W43863253441 @default.
- W4386325344 hasOpenAccess W4386325344 @default.
- W4386325344 hasPrimaryLocation W43863253441 @default.
- W4386325344 hasRelatedWork W2078979022 @default.
- W4386325344 hasRelatedWork W2347546724 @default.
- W4386325344 hasRelatedWork W2378811225 @default.
- W4386325344 hasRelatedWork W2388500609 @default.
- W4386325344 hasRelatedWork W2979101912 @default.
- W4386325344 hasRelatedWork W3016962860 @default.
- W4386325344 hasRelatedWork W3135365112 @default.
- W4386325344 hasRelatedWork W3163777677 @default.
- W4386325344 hasRelatedWork W4292267776 @default.
- W4386325344 hasRelatedWork W944810279 @default.
- W4386325344 hasVolume "15" @default.
- W4386325344 isParatext "false" @default.
- W4386325344 isRetracted "false" @default.
- W4386325344 workType "article" @default.