| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.1016/j.enpol.2010.05.014 |
| Estimating rural populations without access to electricity in developing countries through night-time light satellite imagery. | |
| Doll CNH; Pachauri S | |
| 发表日期 | 2010 |
| 出处 | Energy Policy 38 (10): 5661-5670 |
| 出版年 | 2010 |
| 语种 | 英语 |
| 摘要 | A lack of access to energy and, in particular, electricity is a less obvious manifestation of poverty but arguably one of the most important. This paper investigates the extent to which electricity access can be investigated using night-time light satellite data and spatially explcit population datasets to compare electricity access between 1990 and 2000. We present here the first satellite derived estimates of rural population without access to electriciy in developing countries to draw insights on issues surrounding the delivery of electricity to populations in rural areas. The paper provides additional evidence of the slow progres in expansion of energy access to households in Sub-Saharan Africa and shows how this might be ascribed in part due to the low population densities in rural areas. The fact that this is a continent with some of the lowest per-capita income levels aggravates the intrinsic difficulties associated with making the investments needed to supply electricity in areas with low population density and high dispersion. Clearly, these spatial dimensions of the distributions of the remaining unelectrified populations in the world have an impact on what options are considered the most appropriate in expanding access to these households and the relative attractiveness of decentralized options. |
| 主题 | Energy (ENE) ; Transitions to New Technologies (TNT) |
| 关键词 | Electricity access Night-time light remote sensing Rural development |
| URL | http://pure.iiasa.ac.at/id/eprint/9234/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/129124 |
| 推荐引用方式 GB/T 7714 | Doll CNH,Pachauri S. Estimating rural populations without access to electricity in developing countries through night-time light satellite imagery.. 2010. |
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