6533b82dfe1ef96bd1290936

RESEARCH PRODUCT

Systems-dynamic analysis of employment and inequality impacts of low-carbon investments

Giovanni BernardoSimone D'alessandro

subject

MacroeconomicsLabour economicsInequality020209 energymedia_common.quotation_subjectWage02 engineering and technology010501 environmental sciencesEnergy transitionSystem dynamicsEnvironmental Science (miscellaneous)01 natural sciences0202 electrical engineering electronic engineering information engineeringEconomicsRenewable EnergySettore SECS-P/01 - Economia PoliticaEconomic growthEnergy transition0105 earth and related environmental sciencesmedia_commonSustainability and the EnvironmentRenewable Energy Sustainability and the Environmentbusiness.industryFunctional distributionInvestment (macroeconomics)Renewable energyEnergy transition Economic growth System dynamics Functional distributionGreenhouse gasUnemploymentEconomic growth; Energy transition; Functional distribution; System dynamics; Renewable Energy Sustainability and the Environment; Environmental Science (miscellaneous); Social Sciences (miscellaneous)businessSocial Sciences (miscellaneous)Efficient energy use

description

Abstract This paper provides a macroeconomic framework to evaluate the social and economic consequences generated by a shift of investment to low-carbon options. We introduce into a standard growth framework a modified Lotka–Volterra model for wage and employment determination to address both the long-run dynamics of the economic system in terms of carbon emission and GDP growth and the short-term macroeconomic fluctuations in terms of unemployment and inequality. We use this framework to compare the results of different combinations of three strategies for carbon emissions reductions: improvement in energy efficiency, expansion of the renewable energy sector, and the direct reduction in carbon emissions. We show that the shift to low-carbon investment required to achieve the targeted reductions increases employment and the labour share but slows down GDP growth and wages.

10.1016/j.eist.2016.04.006http://hdl.handle.net/10447/290117