Abstract
Short-term and mid-term projections of energy consumption and carbon emissions raise significant concern about the availability of the necessary energy resources to meet the growing demand and about the impact of emissions on global change. Different macroeconomic models address this issue through global variables, such as gross domestic product, production of goods and services, total population and natural resources extraction. However, the relations among these variables are neither linear nor simple. In an attempt to base said relations on a “bottom-up” perspective, the individual behavior of representative agents of economy, in terms of energy consumption and related carbon emissions, was studied, with particular emphasis on their investment in human capital. It was found that a higher investment in human capital (e.g., education, research) was translated into a better distribution of consumption, with a higher level of energy efficiency and a slight improvement in carbon emissions intensity.
Highlights
Short-term and mid-term projections of energy consumption and carbon emissions are generally assessed on a global scale, by using macroeconomic and social data such as gross domestic product (GDP), production of goods and services, total population, natural resources extraction and consumption, etc
Carbon emissions are expressed as the product of the GDP/capita, the energy intensity factor and the carbonization index, which represents the amount of carbon emissions per unit of consumed energy
On the other hand, when representing the economic variables analyzed according to the education level of individuals, it may be observed that when such increases, the proportion of the total income invested in human capital shows a significant in
Summary
Short-term and mid-term projections of energy consumption and carbon emissions are generally assessed on a global scale, by using macroeconomic and social data such as gross domestic product (GDP), production of goods and services, total population, natural resources extraction and consumption, etc. The growing rate of energy consumption and its subsequent carbon emissions has raised multiple concerns about the availability and long-term sustainability of natural resources and about the impact of CO2 emissions on global climate change This issue has led to an increasing interest in the design of different models in an attempt to understand the complex relations among the variables involved, and to develop appropriate mitigation policies. These models provide a proper estimation of annual averages, but are less efficient when it comes to individual consumption (or behavior) per se
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
