@Article{MachadoRaPiMiDuJe:2017:AnSoEn,
author = "Machado, Pedro Gerber and Rampazo, N{\'u}ria A. Miatto and
Picoli, Michelle Cristina Araujo and Miranda, Cau{\~a} Guilherme
and Dufta, Daniel Garbellini and Jesus, Katia Regina Evaristo de",
affiliation = "{Universidade Estadual de Campinas (UNICAMP)} and {Universidade
Estadual de Campinas (UNICAMP)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Universidade Estadual de Campinas
(UNICAMP)} and {Universidade Estadual de Campinas (UNICAMP)} and
{Embrapa Meio Ambiente}",
title = "Analysis of socioeconomic and environmental sensitivity of
sugarcane cultivation using a Geographic Information System",
journal = "Land Use Policy",
year = "2017",
volume = "69",
pages = "64--74",
month = "Dec.",
keywords = "CATPCASugarcaneBrazilSustainability indicators.",
abstract = "The global interest in biofuels has increased significantly in
recent years, mainly due to the concern about climate change. In
Brazil, the land area under sugarcane cultivation has expanded in
unprecedented ways to meet the increasing ethanol demand of both
the domestic and international markets. S{\~a}o Paulo is the
Brazilian state with the highest production of sugarcane, and the
expansion of this activity can impact both the environment and
society. The purpose of this paper was to assess and map the
sensitivity of the areas used for sugarcane cultivation in
S{\~a}o Paulo state and to provide a holistic approach to
sugarcane production from the sustainability perspective by
integrating indicators of the environmental, social and economic
spheres without focusing on one single element. Five environmental
indicators (related to water resources, slope, environmental
conservation areas, land use and agricultural potential) and six
socioeconomic indicators (related to employment, income,
education, gender equality, child labor and forced labor) were
selected for the analysis. The methodology comprised the
Categorical Principal Components Analysis (CATPCA) technique and
the spatialization of results in a Geographic Information System.
The resulting maps of sensitivity show the patterns of the three
retained principal components and provide an information-rich tool
that the government can use in decision making, policy formulation
and the integrated planning of land use, thereby enabling the
identification of both hotspots and which issues should be
prioritized.",
doi = "10.1016/j.landusepol.2017.08.039",
url = "http://dx.doi.org/10.1016/j.landusepol.2017.08.039",
issn = "0264-8377 and 1873-5754",
language = "en",
targetfile = "machado_analysis.pdf",
urlaccessdate = "27 abr. 2024"
}