Detecting Multilevel Poverty-Causing Factors of Farmer Households in Fugong County: A Hierarchical Spatial-Temporal Regressive Model
文献类型：期刊论文
| 作者 | Jiang, Yuewen1; Wang, Yanhui1; Qi, Wenping2; Cai, Benhe1; Huang, Chong3; Liang, Chenxia4 |
| 刊名 | AGRICULTURE-BASEL
 |
| 出版日期 | 2022-11-01 |
| 卷号 | 12期号:11页码:21 |
| 关键词 | poverty-causing factors spatial-temporal effects poor households HSTRM action mechanisms |
| DOI | 10.3390/agriculture12111844 |
| 通讯作者 | Huang, Chong(huangch@lreis.ac.cn) |
| 英文摘要 | Accurate examination of poverty-causing factors and their mechanisms of poverty-stricken farmer households from a fine scale is conducive to policy implementation and long-term effective poverty reduction. The spatial effects in most previous studies are not fully considered, resulting in less reliability of detection results. Therefore, by fully considering background effects and spatial-temporal effects, this study designs a hierarchical spatial-temporal regressive model (HSTRM) to accurately identify the factors as well as mechanisms that cause poverty more reasonably. The empirical study of Fugong County, Yunnan Province, China, shows that: (1) There has been a certain degree of spatial effects in the study area over the years; therefore, spatial effects should be considered. (2) The poverty degree of farmer households in the study area is affected by individual factors and background factors. Therefore, poverty-causing factors should be observed at different levels. (3) Poverty-causing factors feature different action mechanisms. The influence of the village-level factors on poverty is greater than that of the household level. In addition, the village-level factors have a certain impact on the contribution of household-level factors to poverty. This study offers technical support and policy guidance for sustainable poverty reduction and development of poor farmer households. |
| WOS关键词 | ASSOCIATION ; DEPENDENCE ; AREAS |
| 资助项目 | National Natural Science Foundation of China[42171224] ; Great Wall Scholars Program[CITTCD20190328] ; CAS Earth Big Data Science Project[XDA19060302] ; Key Research Projects of National Statistical Science of China[2021LZ23] |
| WOS研究方向 | Agriculture |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000883882100001 |
| 资助机构 | National Natural Science Foundation of China ; Great Wall Scholars Program ; CAS Earth Big Data Science Project ; Key Research Projects of National Statistical Science of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/186971]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Huang, Chong |
| 作者单位 | 1.Capital Normal Univ, Key Lab 3Dimens Informat Acquisit & Applicat, Minist Educ, Beijing 100048, Peoples R China 2.China Ctr Resources Satellite Data & Applicat, Beijing 100094, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 4.Beijing Normal Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100875, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jiang, Yuewen,Wang, Yanhui,Qi, Wenping,et al. Detecting Multilevel Poverty-Causing Factors of Farmer Households in Fugong County: A Hierarchical Spatial-Temporal Regressive Model[J]. AGRICULTURE-BASEL,2022,12(11):21. |
| APA | Jiang, Yuewen,Wang, Yanhui,Qi, Wenping,Cai, Benhe,Huang, Chong,&Liang, Chenxia.(2022).Detecting Multilevel Poverty-Causing Factors of Farmer Households in Fugong County: A Hierarchical Spatial-Temporal Regressive Model.AGRICULTURE-BASEL,12(11),21. |
| MLA | Jiang, Yuewen,et al."Detecting Multilevel Poverty-Causing Factors of Farmer Households in Fugong County: A Hierarchical Spatial-Temporal Regressive Model".AGRICULTURE-BASEL 12.11(2022):21. |
入库方式： OAI收割
来源：地理科学与资源研究所
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