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Socioeconomic characteristics of sisal producing municipalities in the State of Yucatan, Mexico using Principal Component Analysis
Ariel Vázquez Elorza
SASI ELIBETH MARTINI MORALES
ABIGAIL REYES MUNGUIA
María de los Ángeles Sánchez Contreras
Acceso Abierto
Atribución-NoComercial-SinDerivadas
2414-4827
"This paper seeks to analyze market trends and foresight of Henequen (Sisal: plant native to Mexico; source of textile fiber, agave and tequila) in the state of Yucatan, build a stratification of producing municipalities using productive characteristics, social shortcomings and infrastructure. To do this, we have used variables obtained from SAGARPA for its initials in Spanish (Secretaria de Agricultura Ganadería Desarrollo Rural Pesca y Alimentación, Sistema Agroalimentario y Pesquero), CONEVAL (Consejo Nacional de Evaluación de la Política de Desarrollo Social) and Consejo Nacional de Población. Multivariate principal component analysis (PCA) has been used to generate new variables and stratify municipalities according to productive and socioeconomic characteristics. Results: Four main components accumulate an explained variability of 81.79%. Subsequently, a Pearson correlation was made between the components and variables under study in order to determine groups of associated variables. From the first component, five stratums of producing municipalities were generated in order to relate their levels of socio-economic and productive development. Today the state of Yucatan has the technological and scientific conditions, as well as infrastructure and human capital, to boost the economy of the henequen industry and generate an infrastructure for producing biofuels."
PhD. José Vázques-Noguera
2018
Artículo
ECORFAN Journal, Vol.4 (7), pag. 1-9.
Inglés
Bibliotecarios
Estudiantes
Investigadores
VÁZQUEZ-ELORZA, Ariel, SÁNCHEZ-CONTRERAS, Ángeles, MARTINI-MORALES, Sasi E. and REYES-MUNGUÍA, Abigail, (2018). Socioeconomic characteristics of sisal producing municipalities in the State of Yucatan, Mexico using Principal Component Analysis. ECORFAN Journal, Vol.4 (7), pag. 1-9.
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA
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