@article{fdi:010048372,
  title = {{D}rivers of afforestation in {N}orthern {V}ietnam : assessing local variations using geographically weighted regression},
  author = {{C}l{\'e}ment, {F}. and {O}range, {D}idier and {W}illiams, {M}. and {M}ulley, {C}. and {E}pprecht, {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}his article identifies drivers of forest transition in a province of {N}orthern {V}ietnam between 1993 and 2000 by applying geographically weighted regression ({GWR}) analysis to remotely sensed and statistical data. {T}he regression model highlighted the spatial variation of the relationship between the percentage of land afforested and its proximate causes {F}actors identified as having a major impact on afforestation are: the presence or proximity of a wood-processing industry, the distance to highways, and land allocation to households. {W}hereas the two former variables are in most areas of the province positively correlated with afforestation, an unexpected negative correlation was observed for the latter {T}he analysis of these results, supported by an in-depth knowledge of the area and of the political context, leads to the conclusion that. during the time period considered. afforestation was largely driven by state organisations on protected state-owned land, and forestry was not a significant component of household economic activities (c) 2009 {E}lsevier {L}td. {A}ll rights reserved.},
  keywords = {{A}fforestation ; {F}orest-cover change ; {G}eographically weighted regression ; ({GWR}) ; {F}orest policy ; {L}and allocation ; {V}ietnam},
  booktitle = {},
  journal = {{A}pplied {G}eography},
  volume = {29},
  numero = {4},
  pages = {561--576},
  ISSN = {0143-6228},
  year = {2009},
  DOI = {10.1016/j.apgeog.2009.01.003},
  URL = {https://www.documentation.ird.fr/hor/fdi:010048372},
}