Coupling input–output analysis with multiobjective linear programming models for the study of economy–energy–environment–social (E3S) trade-offs: a review

Abstract

The study of the interactions between the economy (at national, global and local levels), the energy sector and the corresponding impacts on the environment inherently involves multiple axes of evaluation of distinct policies. Input-output (IO) analysis offers a consistent framework for developing multiobjective models for assessing the trade-offs associated with those policies. The analytical framework of IO analysis enables to model the interactions between the whole economy and the energy sector, thus identifying the energy required for the provision of goods and services in an economy and also quantifying the corresponding pollutant emissions. This paper is aimed at reviewing the different modelling approaches available in the scientific literature based on coupling IO analysis with multiobjective models, which can be particularly useful for policy makers to assess the trade-offs between the economy-energy-environment-social pillars of sustainable development, particularly relevant in the current sluggish economic context.

Multi-criteria model for sustainable development using goal programming applied to the United Arab Emirates

“…Several literature reviews confirm the popularity of MCDM models (Wang et al, 2009;Greening and Bernow, 2004). Recently, Oliveira et al (2014) survey different modeling approaches on coupling Input-Output analysis with multi-objective models that are useful for policy makers to assess the trade-offs between the economy, energy, the environment, and the social pillars of sustainable development. Huang et al (2011) reviews trends and tools of MCDA for environmental applications over the last two decades to conclude that there is a significant growth in environmental applications due to increased decision complexity and information availability.…”

An Integrated Simulation Model for Dynamically Exploring the Optimal Solution to Mitigating Water Scarcity and Pollution

“…The linearity of the relationships between sector output and the amount of water consumption, water pollutant discharge and GHG emission is presumed in order to combine the water environment and socioeconomic activities [33]. The proposed policies for water pollution control and the promotion of the water supply and demand balance are expected to form an optimal combination through a comparison of scenarios according to specific conditions.…”

Simulating Indonesian fuel subsidy reform: a social accounting matrix analysis

“…Then, further research is required to determine combinations of target sectors and income groups which satisfy the three features of sustainable development, i.e., economic, social and environmental dimensions, as much as possible. Links between IO models and multi-objective linear programming as reviewed in Oliveira et al (2014) may offer new insights to the research on fuel subsidies. …”