2021
DOI: 10.1016/j.scs.2021.103288
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Towards cleaner heating production in rural areas: Identifying optimal regional renewable systems with a case in Ningxia, China

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Cited by 20 publications
(4 citation statements)
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“…In Xining, the area where grassland, forests and cropland expanded presented a weak cooling effect. Therefore, when analyzing the driving mechanism of land cover change in energy budget at a regional/local scale, fully considering the spatial heterogeneity of land cover types and quantitatively evaluating the radiation of different types of land cover changes and their temporal and spatial patterns [41,42] can deepen the understanding of the climate effect of land cover change and can provide a basis for future regional and global land use decision making [43,44].…”
Section: Discussionmentioning
confidence: 99%
“…In Xining, the area where grassland, forests and cropland expanded presented a weak cooling effect. Therefore, when analyzing the driving mechanism of land cover change in energy budget at a regional/local scale, fully considering the spatial heterogeneity of land cover types and quantitatively evaluating the radiation of different types of land cover changes and their temporal and spatial patterns [41,42] can deepen the understanding of the climate effect of land cover change and can provide a basis for future regional and global land use decision making [43,44].…”
Section: Discussionmentioning
confidence: 99%
“…One was framed from a macro perspective; it entailed the determination of whether a certain clean heating method was suitable for adoption in a certain place. This perspective was generally related to economic (Wei et al 2010;Wang et al 2019;Zhang et al 2020;Huo et al 2020;He et al 2021),…”
Section: Selection Of Indicatorsmentioning
confidence: 99%
“…technical (Wei et al 2010;Wang et al 2019;Zhang et al 2020), environmental protection (Wei et al 2010;Wang et al 2019;Zhang et al 2020;He et al 2021), and to the social factors (He et al 2021) that are necessary to ensure a comprehensive evaluation. The other entailed the user's perspective; it was related to the analysis of whether users were willing to adopt a certain type of clean heating.…”
Section: Selection Of Indicatorsmentioning
confidence: 99%
“…There is a direct relationship between negative social effects and lack of electricity [4]. Rural areas are the most affected by the lack of access to electricity because most of them are in remote or isolated locations where it is very difficult and/or very costly to transport energy using the conventional networks of the electricity system [5]. Many of these communities subsist by raising animal or vegetable species for self-consumption or income generation, and their waste generates pollution problems.…”
Section: Introductionmentioning
confidence: 99%