TY - JOUR
T1 - A multivariate analysis of hybrid and electric vehicles sales in Mexico
AU - Briseño, Hugo
AU - Ramirez-Nafarrate, Adrian
AU - Araz, Ozgur M.
N1 - Funding Information:
This work was supported by the Secretaría de Innovación, Ciencia y Tecnología del Ejecutivo Estatal (SICyT) and Consejo Estatal de Ciencia y Tecnología de Jalisco (COECyTJAL) with grant FODECIJAL 2019, number 8243 (Fund for the Scientific Development of Jalisco to Analyze State Problems 2019).
Funding Information:
Özgür M. Araz is Associate Professor in the Supply Chain Management and Analytics Department of the College of Business at the University of Nebraska-Lincoln. His research interests include systems simulation, business analytics, healthcare operations, public health informatics. His research had been supported by NIH, VA hospitals, HDR company, Boys Town, Nebraska Medicine and the University of Nebraska. Before joining the College of Business at UNL, he served as a faculty member of the College of Public Health at the University of Nebraska Medical Center (UNMC). He received his Ph.D. in Industrial Engineering from the Ira A. Fulton Schools of Engineering at Arizona State University and was a postdoctoral research fellow at the Center for Computational Biology and Bioinformatics of The University of Texas at Austin.
Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2021/8
Y1 - 2021/8
N2 - This paper presents a multivariate analysis considering economic and ecological factors that are associated with the acquisition of low emission vehicles in Mexico. We analyzed the data available in the Mexican context from its 32 states and use econometric analyses with linear regression models to determine the significant factors associated with the sales of hybrid and electric vehicles. We found that the sales of these vehicles are positively correlated with the GDP per capita, the cost of consumed electricity, the price of gasoline and an indicator variable defined for sustainable practices. This indicator variable is calculated using data on the certificates issued by the government environmental office, energy intensity, adequate disposal of waste and waste separation. Based on these results, we infer that adherence to sustainable practices has a positive correlation with the acquisition of low emission vehicles in Mexico. However, for the buyers, the affordability of these vehicles is more important than their energy efficiency. In addition, we found that the most industrialized states are adopting hybrid and electric vehicles at higher rates than states whose economy depends on commerce and tourism.
AB - This paper presents a multivariate analysis considering economic and ecological factors that are associated with the acquisition of low emission vehicles in Mexico. We analyzed the data available in the Mexican context from its 32 states and use econometric analyses with linear regression models to determine the significant factors associated with the sales of hybrid and electric vehicles. We found that the sales of these vehicles are positively correlated with the GDP per capita, the cost of consumed electricity, the price of gasoline and an indicator variable defined for sustainable practices. This indicator variable is calculated using data on the certificates issued by the government environmental office, energy intensity, adequate disposal of waste and waste separation. Based on these results, we infer that adherence to sustainable practices has a positive correlation with the acquisition of low emission vehicles in Mexico. However, for the buyers, the affordability of these vehicles is more important than their energy efficiency. In addition, we found that the most industrialized states are adopting hybrid and electric vehicles at higher rates than states whose economy depends on commerce and tourism.
KW - Electric vehicles
KW - Green indicator
KW - Mexico
KW - Multivariate analysis
KW - Sustainable practices
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U2 - 10.1016/j.seps.2020.100957
DO - 10.1016/j.seps.2020.100957
M3 - Article
AN - SCOPUS:85094618057
SN - 0038-0121
VL - 76
JO - Socio-Economic Planning Sciences
JF - Socio-Economic Planning Sciences
M1 - 100957
ER -