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Recursos bibliográficos en papel y digitales - - libros, artículos de revistas,
ponencias de eventos, etc. -
» Resultado:
2 registros
Registro 1 de 2 |
Autor: |
Deng, Xiangzheng - Huang, Jikun - Huang, Qiuqiong - Rozelle, Scott - Gibson, John - |
Título: |
Do roads lead to grassland degradation or restoration? A case study in Inner Mongolia, China |
Fuente: |
Environment and Development Economics. v.16, n.6. Beijer Institute of Ecological Economics; Royal Swedish Academy of Sciences |
Páginas: |
pp. 751-773 |
Año: |
Dec. 2011 |
Resumen: |
We use satellite remote sensing data of grassland cover in Inner Mongolia, China to test whether the existence of and the size of roads in 1995 is associated with the nature of the grassland in 2000 and/or if it affects the rate of change of the grassland between 1995 and 2000. The regression results show that the impact of roads on grassland cover depends on the nature of the resource. When the grassland is composed of relatively high quality grassland, roads lead to degradation, whereas when grassland resources are sparse, access to a road results in the restoration of the resource. |
Solicitar por: |
HEMEROTECA E + datos de Fuente |
Registro 2 de 2 |
Autor: |
Olivia, Susan - Gibson, John - Rozelle, Scott - Huang, Jikun - Deng, Xiangzheng - |
Título: |
Mapping poverty in rural China: how much does the environment matter? |
Fuente: |
Environment and Development Economics. v.16, n.2. Beijer Institute of Ecological Economics; Royal Swedish Academy of Sciences |
Páginas: |
pp. 129-153 |
Año: |
Apr. 2011 |
Resumen: |
A recently developed small area estimation technique is used to geographically derive detailed estimates of consumption-based poverty and inequality in rural Shaanxi, China. These estimates may be helpful for targeting since there is wide variability in poverty rates within Shaanxi but low levels of inequality within most counties and townships. We also investigate whether including environmental variables in the equation used to predict consumption and poverty improves upon typical approaches that only use household survey and census data. Ignoring environmental variables appears likely to produce targeting errors. |
Solicitar por: |
HEMEROTECA E + datos de Fuente |
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