Cookies?
Library Header Image
LSE Research Online LSE Library Services

Identifying the main emitters of carbon dioxide in Mexico: a multi-sectoral study

Chapa, Joana and Ortega, Araceli (2017) Identifying the main emitters of carbon dioxide in Mexico: a multi-sectoral study. Economía, 17 (2). 135 - 172. ISSN 1529-7470

[img] Text - Published Version
Download (541kB)

Identification Number: 10.31389/eco.69

Abstract

In this paper, input-output and SAM-based multiplier models are formulated to identify the main emitters of direct, indirect, and induced carbon dioxide (CO2) for the Mexican economy. The models are based on a social accounting matrix for Mexico, with disaggregated household income and consumption patterns according to the official poverty line. The results show that the final users of the inputs that embody high levels of CO2 emissions are the next five sectors: (1) construction; (2) electricity, gas, and water supply; (3) inland transport; (4) food, beverages, and tobacco; and (5) coke, refined petroleum, and nuclear fuel. The findings suggest that the implementation of a carbon tax could damage poor families, since these families generate high direct, indirect, and induced CO2 emissions per unit of income, as a consequence of their consumption patterns of fuels and the products that embody high CO2 emissions levels (for example, agriculture, hunting, forestry, and fishing).

Item Type: Article
Official URL: https://economia.lse.ac.uk/
Additional Information: © 2017 LACTEA
Divisions: LSE
Subjects: H Social Sciences > HC Economic History and Conditions
H Social Sciences > HB Economic Theory
JEL classification: Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics > Q5 - Environmental Economics > Q56 - Environment and Development; Environment and Trade; Sustainability; Environmental Accounting; Environmental Equity
I - Health, Education, and Welfare > I3 - Welfare and Poverty
Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics > Q2 - Renewable Resources and Conservation > Q21 - Demand and Supply
C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C50 - General
Date Deposited: 08 Jul 2024 11:33
Last Modified: 08 Jul 2024 11:33
URI: http://eprints.lse.ac.uk/id/eprint/123241

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics