Matches in SemOpenAlex for { <https://semopenalex.org/work/W3206339767> ?p ?o ?g. }
- W3206339767 endingPage "1086" @default.
- W3206339767 startingPage "1086" @default.
- W3206339767 abstract "Rural decline has become an indisputable fact and a global issue. As a developing country, China is simultaneously facing unprecedented rapid urbanization and severe rural decline. The coordinated development of its rural human–land relationship is therefore of great significance for ensuring the country’s food security and achieving both rural revitalization and sustainable development. Yet, the related research on this complex subject has mostly focused on a single element: rural settlements. Since studies of the rural human–land relationship tend to only discuss the coordinated change in rural populations vis-à-vis rural settlement area, their degree of spatial matching and intensive utilization level of rural settlements has been largely overlooked. To rectify this imbalance, using data on rural populations and rural settlement area in counties of Shandong Province in 2009 and 2018, this paper applied the methods of per capita rural settlement area, the Theil index, and Tapio’s decoupling model to quantitatively identify the rural human–land relationship along three dimensions: intensive utilization level, spatial matching degree, and change coordination degree. The results revealed that the per capita rural settlement area in Shandong Province was as high as 212.18 m2/person in 2018, which exceeded the standard to varying degrees in all cities, having an overall geographical pattern of being high in the north and low in the south. The Theil index for all cities was small, which indicates that the spatial matching between rural population and rural settlements is high. To sum up, there are small differences in the utilization of rural settlements among cities, and their extensive utilization of rural settlements is a common phenomenon. In addition, the relationship between the changes in the rural population size and rural settlement area corresponded to a discordant state, in the form of strong negative decoupling, expansive negative decoupling, and expansive coupling; however, among them, the strong negative decoupling type was the dominant type. It is worth noting that all of these three types will exacerbate the extensive utilization of rural settlements. Accordingly, this paper proposes policies and measures, such as the paid withdrawal of rural homesteads, an expanded scope of homestead transfer, cross-regional “increasing versus decreasing balance”, classified promotion of rural revitalization, and improved village planning." @default.
- W3206339767 created "2021-10-25" @default.
- W3206339767 creator A5023158186 @default.
- W3206339767 creator A5029464861 @default.
- W3206339767 creator A5059633357 @default.
- W3206339767 creator A5063493372 @default.
- W3206339767 date "2021-10-14" @default.
- W3206339767 modified "2023-10-16" @default.
- W3206339767 title "Multi-Dimensional Feature Recognition and Policy Implications of Rural Human–Land Relationships in China" @default.
- W3206339767 cites W1886448857 @default.
- W3206339767 cites W1987793933 @default.
- W3206339767 cites W2002760855 @default.
- W3206339767 cites W2020417483 @default.
- W3206339767 cites W2023970490 @default.
- W3206339767 cites W2029612207 @default.
- W3206339767 cites W2032109089 @default.
- W3206339767 cites W2032445183 @default.
- W3206339767 cites W2049439179 @default.
- W3206339767 cites W2060654565 @default.
- W3206339767 cites W2061103987 @default.
- W3206339767 cites W2073199141 @default.
- W3206339767 cites W2084686920 @default.
- W3206339767 cites W2106966741 @default.
- W3206339767 cites W2126934272 @default.
- W3206339767 cites W2127808103 @default.
- W3206339767 cites W2145221488 @default.
- W3206339767 cites W2146562860 @default.
- W3206339767 cites W2160925381 @default.
- W3206339767 cites W2206203304 @default.
- W3206339767 cites W2592524517 @default.
- W3206339767 cites W2746350012 @default.
- W3206339767 cites W2747361386 @default.
- W3206339767 cites W2766491446 @default.
- W3206339767 cites W2772145991 @default.
- W3206339767 cites W2778242996 @default.
- W3206339767 cites W2789795658 @default.
- W3206339767 cites W2791221816 @default.
- W3206339767 cites W2795511462 @default.
- W3206339767 cites W2801367645 @default.
- W3206339767 cites W2804147286 @default.
- W3206339767 cites W2811266018 @default.
- W3206339767 cites W2896669380 @default.
- W3206339767 cites W2921182431 @default.
- W3206339767 cites W2974067367 @default.
- W3206339767 cites W2985316555 @default.
- W3206339767 cites W2990725165 @default.
- W3206339767 cites W2991411407 @default.
- W3206339767 cites W2993124794 @default.
- W3206339767 cites W3010295037 @default.
- W3206339767 cites W3026986686 @default.
- W3206339767 cites W3034089822 @default.
- W3206339767 cites W3034215199 @default.
- W3206339767 cites W3037792760 @default.
- W3206339767 cites W3042872764 @default.
- W3206339767 cites W3046456277 @default.
- W3206339767 cites W3047650216 @default.
- W3206339767 cites W3080767510 @default.
- W3206339767 cites W3083895498 @default.
- W3206339767 cites W3084121419 @default.
- W3206339767 cites W3090802165 @default.
- W3206339767 cites W3091389928 @default.
- W3206339767 cites W3202543369 @default.
- W3206339767 doi "https://doi.org/10.3390/land10101086" @default.
- W3206339767 hasPublicationYear "2021" @default.
- W3206339767 type Work @default.
- W3206339767 sameAs 3206339767 @default.
- W3206339767 citedByCount "15" @default.
- W3206339767 countsByYear W32063397672022 @default.
- W3206339767 countsByYear W32063397672023 @default.
- W3206339767 crossrefType "journal-article" @default.
- W3206339767 hasAuthorship W3206339767A5023158186 @default.
- W3206339767 hasAuthorship W3206339767A5029464861 @default.
- W3206339767 hasAuthorship W3206339767A5059633357 @default.
- W3206339767 hasAuthorship W3206339767A5063493372 @default.
- W3206339767 hasBestOaLocation W32063397671 @default.
- W3206339767 hasConcept C127598652 @default.
- W3206339767 hasConcept C129047720 @default.
- W3206339767 hasConcept C136764020 @default.
- W3206339767 hasConcept C144024400 @default.
- W3206339767 hasConcept C149923435 @default.
- W3206339767 hasConcept C162324750 @default.
- W3206339767 hasConcept C16678853 @default.
- W3206339767 hasConcept C166957645 @default.
- W3206339767 hasConcept C168763156 @default.
- W3206339767 hasConcept C17744445 @default.
- W3206339767 hasConcept C18903297 @default.
- W3206339767 hasConcept C191935318 @default.
- W3206339767 hasConcept C199539241 @default.
- W3206339767 hasConcept C205649164 @default.
- W3206339767 hasConcept C26271046 @default.
- W3206339767 hasConcept C2777382242 @default.
- W3206339767 hasConcept C2908647359 @default.
- W3206339767 hasConcept C39853841 @default.
- W3206339767 hasConcept C41008148 @default.
- W3206339767 hasConcept C45355965 @default.
- W3206339767 hasConcept C4792198 @default.
- W3206339767 hasConcept C50522688 @default.
- W3206339767 hasConcept C86803240 @default.