FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2955321111> ?p ?o ?g. }

• W2955321111 endingPage "620" @default.
• W2955321111 startingPage "611" @default.
• W2955321111 abstract "The livestock sector is the main source of non-CO2 greenhouse gas (GHG) emissions in China. Decomposing the factors that influence non-CO2 GHG intensity in the livestock sector (LGI) serves as an important reference for the development of specific emission reduction policies. However, the difficulty lies in how to consider the relationship between emission reductions and the human food supply and economic development. In this study, a decomposition framework for the LGI in China was constructed from the concept of “environment–food–economy.” The influencing factors that drove changes in LGI were interpreted at the environmental level, economic level, and scale level. Additionally, the logarithmic mean Divisia index (LMDI) method was used to quantify the contributions of these three drivers in 31 provinces across China from 1998 to 2016. The results showed that: (1) the LGI of China decreased by 80.02% during the study period. This decrease was mainly driven by the environmental and economic level factors of each province with a respective cumulative contribution of 51.96% and 34.10%. However, the scale-level factor of each province cumulatively suppressed the LGI drop by 6.04% in China. (2) For the contribution of the environmental-level factor, the top five provinces were Henan, Yunnan, Inner Mongolia, Guangxi, and Shandong. The top five provinces for the economic-level factor contribution were Henan, Sichuan, Shandong, Hebei, and Heilongjiang. (3) Under the concept of the livestock sector “environment–food–economy”, improving the environmental and economic levels of the livestock sector in each province, and narrowing its inter-provincial gaps are two feasible ways that can be used to reduce China's LGI. Our research methodology is applicable to studies on the reduction of LGI in regions of different scales." @default.
• W2955321111 created "2019-07-12" @default.
• W2955321111 creator A5005905709 @default.
• W2955321111 creator A5031608045 @default.
• W2955321111 creator A5037322728 @default.
• W2955321111 creator A5052616689 @default.
• W2955321111 creator A5084651470 @default.
• W2955321111 date "2019-11-01" @default.
• W2955321111 modified "2023-10-16" @default.
• W2955321111 title "Decomposition of factors affecting changes in non-CO2 greenhouse gas emission intensity of China's livestock sector based on the concept of “environment–food–economy”" @default.
• W2955321111 cites W1505741073 @default.
• W2955321111 cites W1850961303 @default.
• W2955321111 cites W1973207252 @default.
• W2955321111 cites W1978767539 @default.
• W2955321111 cites W1989366868 @default.
• W2955321111 cites W1993319155 @default.
• W2955321111 cites W2000331650 @default.
• W2955321111 cites W2001646397 @default.
• W2955321111 cites W2020541421 @default.
• W2955321111 cites W2067965476 @default.
• W2955321111 cites W2093693868 @default.
• W2955321111 cites W2107265632 @default.
• W2955321111 cites W2110335236 @default.
• W2955321111 cites W2128584547 @default.
• W2955321111 cites W2136596893 @default.
• W2955321111 cites W2143708687 @default.
• W2955321111 cites W2155868553 @default.
• W2955321111 cites W2169405615 @default.
• W2955321111 cites W2190698000 @default.
• W2955321111 cites W2191795605 @default.
• W2955321111 cites W2265180604 @default.
• W2955321111 cites W2283600580 @default.
• W2955321111 cites W2306160956 @default.
• W2955321111 cites W2306730032 @default.
• W2955321111 cites W2344808444 @default.
• W2955321111 cites W2574939171 @default.
• W2955321111 cites W2583306182 @default.
• W2955321111 cites W2590627165 @default.
• W2955321111 cites W2605422102 @default.
• W2955321111 cites W2767367401 @default.
• W2955321111 cites W2767648137 @default.
• W2955321111 cites W2770814222 @default.
• W2955321111 cites W2775569557 @default.
• W2955321111 cites W2780457391 @default.
• W2955321111 cites W2781352574 @default.
• W2955321111 cites W2792367117 @default.
• W2955321111 cites W2792663591 @default.
• W2955321111 cites W2803421018 @default.
• W2955321111 cites W2809706051 @default.
• W2955321111 cites W2883924146 @default.
• W2955321111 cites W2888135616 @default.
• W2955321111 cites W2899536591 @default.
• W2955321111 cites W2904477859 @default.
• W2955321111 cites W301903916 @default.
• W2955321111 doi "https://doi.org/10.1016/j.scitotenv.2019.07.020" @default.
• W2955321111 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31325861" @default.
• W2955321111 hasPublicationYear "2019" @default.
• W2955321111 type Work @default.
• W2955321111 sameAs 2955321111 @default.
• W2955321111 citedByCount "11" @default.
• W2955321111 countsByYear W29553211112020 @default.
• W2955321111 countsByYear W29553211112021 @default.
• W2955321111 countsByYear W29553211112022 @default.
• W2955321111 countsByYear W29553211112023 @default.
• W2955321111 crossrefType "journal-article" @default.
• W2955321111 hasAuthorship W2955321111A5005905709 @default.
• W2955321111 hasAuthorship W2955321111A5031608045 @default.
• W2955321111 hasAuthorship W2955321111A5037322728 @default.
• W2955321111 hasAuthorship W2955321111A5052616689 @default.
• W2955321111 hasAuthorship W2955321111A5084651470 @default.
• W2955321111 hasConcept C112964050 @default.
• W2955321111 hasConcept C120665830 @default.
• W2955321111 hasConcept C121332964 @default.
• W2955321111 hasConcept C136264566 @default.
• W2955321111 hasConcept C136764020 @default.
• W2955321111 hasConcept C144133560 @default.
• W2955321111 hasConcept C154193497 @default.
• W2955321111 hasConcept C162324750 @default.
• W2955321111 hasConcept C166957645 @default.
• W2955321111 hasConcept C175605778 @default.
• W2955321111 hasConcept C18903297 @default.
• W2955321111 hasConcept C191935318 @default.
• W2955321111 hasConcept C205649164 @default.
• W2955321111 hasConcept C2777382242 @default.
• W2955321111 hasConcept C2780083587 @default.
• W2955321111 hasConcept C2780165032 @default.
• W2955321111 hasConcept C3017660400 @default.
• W2955321111 hasConcept C39432304 @default.
• W2955321111 hasConcept C41008148 @default.
• W2955321111 hasConcept C47737302 @default.
• W2955321111 hasConcept C48824518 @default.
• W2955321111 hasConcept C50551742 @default.
• W2955321111 hasConcept C526734887 @default.
• W2955321111 hasConcept C54725983 @default.
• W2955321111 hasConcept C85080765 @default.
• W2955321111 hasConcept C86803240 @default.
• W2955321111 hasConcept C97137747 @default.
• W2955321111 hasConcept C97615858 @default.

• next