Input-output subsystems and pollution: An application to the service sector and CO2 emissions in Spain
By Vicent Alcántara, Emilio Padilla. 2009
203 citations recorded by the source corpus.
Abstract The analysis of input–output subsystems provides a useful tool for studying the productive structure of the different sectors of an economy. In this paper we develop this analysis to the study of the CO2 emissions associated to the group of branches of the service sector. The decomposition of the total production of the services subsystem allows us to decompose the CO2 emissions into five different components (own, demand volume, feed-back, internal and spill over components). From the results obtained, we can highlight the different roles played by the different branches of services. Transport activities are the services with the highest level of the direct emissions generated in the production of the sector. These activities are required by the other sectors of the economy to a greater degree than they are for their own final demand. Therefore, the production sold to other sectors causes more emissions than its own final demand. However, in the case of other service activities, direct and indirect emissions related to final demand are much more important, due to the strong pull effect of service activities on other activities of the economy. In this respect, Wholesale and retail trade, Hotels and restaurants, Real estate, renting and business activities, and Public administration services should be highlighted. These services receive scarce attention in the design of policies aimed at reducing emissions, but are notably responsible for the major increase in emissions experienced in recent years.
Subfields: Economics and Econometrics, Environmental Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/506daf8659bd6bf9bda082ed0e90ccf4860b4046
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Citations in the corpus
- Provincial allocation of carbon emission reduction targets in China: An approach based on improved fuzzy cluster and Shapley value decomposition (2014, background): “The former mainly focuses on structural decomposition analysis (Alcántara and Padilla, 2009; Zhang et al., 2009; Su and Ang, 2012).”
- Dynamic Impacts of Economic Growth and Forested Area on Carbon Dioxide Emissions in Malaysia (2020, methodology): “For instance, DOLS estimation involved regressing one of I(1) variables compared to other variables, some of which are I(1) with leads (p) and lags (-p) of the first difference whereas others are I(0) variables that include a constant term [48].”