This paper analyzes the impact of the fall in household consumption after an economic crisis in Spain on greenhouse gas emissions. To this end, household consumption is differentiated by the age of the main provider by using a conversion matrix that relates consumption groups to activity sectors. A multisectoral model was used to quantify and compare the environmental impact caused by the consumption of each age group, indicating that the older the age of the main household provider, the smaller the reduction in GHG emissions associated with their consumption. The results facilitate an analysis of how the greenhouse gas emissions of the different sectors of the Spanish economy, associated with the population under study, varied before and after the 2008 crisis, and confirm that the sectors with the greatest reduction in emissions were, in this order, extractive industries, construction, manufacturing industry, wholesale and retail trade and transport and storage. This is relevant for decision making in the field of environmental policies in crises, akin to the one the world is currently experiencing.

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PurposeThis work analyzes the economic impact of an economic crisis on consumption in Spanish households, detecting inequalities in household consumption according to the age of the main breadwinner and changes in consumption patterns. In particular, the effects of the financial crisis of 2008 on household consumption are studied and divided according to the main breadwinner's age group to obtain the economic impact of the fall in consumption in young households.Design/methodology/approachThe input–output tables of the Spanish economy during the years 2005 and 2015 and data on household consumption based on age group have been used. Economic impact is estimated through multisector modeling, specifically a demand model expressed in monetary terms. This model allows us to obtain the direct impact on the sectors offering the demanded services and the indirect impact due to increase in intermediate demand from these sectors on the rest of them.FindingsThe results obtained show the changes in household consumption and its effects on different productive sectors, highlighting the following sectors: real estate activities, electricity, gas, steam and air conditioning supply, accommodation and food service activities and manufacturing.Originality/valueThis study measures the impact of an economic crisis on the consumption of young households, analyzing all groups of households according to the main breadwinner's age, with the added value of studying the impact of this variation on household consumption and quantifying the positive and negative impact on the different sectors of activity of the Spanish economy.

This article addresses the impact that the previous economic crisis had on Spanish economy, focusing on the effects on employment. Therefore, the data on the employed population drawn from the economically active population surveys are broken down by age groups, to analyse the 2008 financial crisis. The model created makes it possible to quantify the losses in production and employment in all sectors, highlighting construction, manufacturing, real estate, and professional and administrative activities as the most affected sectors due to the fall in youth employment. The results obtained allow different employment policies to be focused on sectors most affected by the economic crisis and show that crises do not equally affect all works, because younger workers have suffered disproportional job losses.

This paper addresses the impact that the previous economic crisis had on Spanish economy, focusing on the effects on employment. To this end, the data on the employed population drawn from the Economically Active Population Surveys are broken down by age groups, to analyse the 2008 financial crisis. The results show that crises do not affect all workers equally, because younger workers have suffered disproportionate job losses. Through multisectoral modeling, the impact that this job loss has had on the Spanish economy as a whole is also analyzed.Jel Codes: C67; E24; J23