A hybrid input–output multi-objective model to assess economic–energy–environment trade-offs in Brazil

Carvalho, Ana L. M. Batista de; Antunes, Carlos Henggeler; Freire, Fausto; Henriques, Carla

doi:10.1016/j.energy.2015.01.089

Cited by 46 publications

(25 citation statements)

References 39 publications

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“…Furthermore, combining IOA with a multi-objective linear programming (MOLP) model allows us to capture the nature of diverse aspects, which are often conflicting and non-commensurate [26]. Due to these advantages, an increasing number of studies use multi-objective input-output linear programming models to evaluate synergies and trade-offs in the nexus of economy-society-energy [27], economy-energy-environment [28][29][30][31], and foodenergy-water [32,33]. However, most related methods developed recently cover only a few aspects of social, economic, energy, resources, and environmental objectives and lack comprehensive consideration of all sustainable elements and their integration.…”

Section: Introductionmentioning

confidence: 99%

How to balance China’s sustainable development goals through industrial restructuring: a multi-regional input–output optimization of the employment–energy–water–emissions nexus

Wang

Wei

2020

Environ. Res. Lett.

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To effectively manage economic transition and pursue sustainable development, the Chinese government has promulgated a series of policies in the 13th Five Year (2016-2020) Plan (FYP), covering social security, economic growth, energy transition, resource conservation, and environmental protection. To balance the various 13th FYP policy targets, we propose a multi-objective optimization model based on multi-regional input-output analysis. The model integrates the management of employment, energy consumption, water use, carbon emissions, and pollutant emissions by determining a policy-dominated industrial restructuring pathway that would best achieve consistency in sustainable development policies, adaptation to the national industrial development trend, and regional equity among China's provinces. Synergies and trade-offs among various policies are also discussed. Our optimization results show that an energy-consumptiondominated industrial restructuring pathway is the best solution, as it would satisfy various sustainable targets, facilitate (restrain) development of high-value-added (high-energy-consumption and highemissions) sectors, as well as improve regional equity. Therefore, to realize sustainability, the energy policy should be prioritized when formulating an industrial restructuring pathway. Applying such a multi-objective optimization model provides policymakers with a comprehensive approach to support sustainable development policies.

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Section: Introductionmentioning

confidence: 99%

How to balance China’s sustainable development goals through industrial restructuring: a multi-regional input–output optimization of the employment–energy–water–emissions nexus

Wang

Wei

2020

Environ. Res. Lett.

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“…The term "hybrid" herein represents not only the integration of IO and process based data, but also the combined use of both physical (process-based) and monetary (IO-based) data, which opens the possibility of combining environmental and economic aspects [209], [213], [214]. In the hybrid models the combination of physical and monetary units into the IO matrices is made, in which new rows and columns are included for energy sectors, substituting flows in monetary units by flows in physical units [215]. The use of the hybrid IO formulation helps eliminating the effect of price distortion on the results,…”

Section: Input-output Multi-objective Models To Assess Economic-energmentioning

confidence: 99%

“…[228][229][230][231]. IO-MOLP models using hybrid frameworks and external expansions of the IO model have been used to assess energy-environment-economic-social objectives [215], [232][233][234]. Some studies have developed MOLP models based on IO analysis incorporating explicitly the uncertainty treatment: Chang and Juang [235] and Chang [236] have applied a MOLP model with fuzzy coefficients in the objective function; Borges and Antunes [237] have developed a MOLP with fuzzy coefficients in the objective function and in the right hand side vector; Henriques and Antunes [238] have applied an MOLP model with interval coefficients in the objective function, the right hand side vector and also in technical coefficients.…”

Section: Input-output Multi-objective Models To Assess Economic-energmentioning

confidence: 99%

The challenging paradigm of interrelated energy systems towards a more sustainable future

Soares

Martins

Carvalho³

et al. 2018

Renewable and Sustainable Energy Reviews

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This paper brings together several contemporary topics in energy systems aiming to provide a literature review based reflection on how several interrelated energy systems can contribute together to a more sustainable world. Some directions are discussed, such as the improvement of the energy efficiency and environmental performance of the systems, the development of new technologies, the increase of the use of renewable energy sources, the promotion of holistic and multidisciplinary studies, and the implementation of new management rules and "eco-friendly and sustainable" oriented policies at different scales. The interrelations of the diverse energy systems are also discussed in order to address their main social-economic-environmental impacts. The subjects covered include the assessment of the electricity market and its main players (demand, supply, distribution), the evaluation of some urban systems (buildings, transportation, commuting), the analysis of the implementation of renewable energy cooperatives, the discussion of the diffusion of the electric vehicle and the importance of new bioenergy systems. This paper also presents relevant research carried out in the framework of both the Energy for Sustainability Initiative of the University of Coimbra and the Sustainable Energy Systems focus area of the MIT-Portugal Program. To conclude, several research topics that should be addressed in the near future are proposed.

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“…You et al [11] integrate life-cycle assessment and social aspects such as local job creation due to supply chain activities in a multi-objective framework, solved by a Pareto-optimality approach. Carvalho et al [40] present a multi-objective linear programming model based on an I-O framework, which balances gross domestic product, employment and energy use (emissions). Obviously, the various approaches will yield different insights to be used in different analyses as discussed in Section 5.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimizing the Wood Value Chain in Northern Norway Taking Into Account National and Regional Economic Trade-Offs

Johansen

Werner

Nørstebø

2017

Forests

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Abstract:As a consequence of past decades of extensive afforestation in Norway, mature forest volumes are increasing. National forestry politics call for sustainable and efficient resource usage and for increased regional processing. Regional policies seek to provide good conditions for such industries to be competitive and to improve regional value creation. We demonstrate how methods from operations research and regional macro-economics may complement each other to support decision makers in this process. The operations research perspective is concerned with finding an optimally designed wood value chain and an aggregated planning of its operations, taking a holistic perspective on strategic-tactical level. Using Input-Output analysis methods based on statistics and survey data, regional macro-economics helps to estimate each industry actor's value creation and impact on society beyond immediate value chain activities. Combining these approaches in a common mathematical optimization model, a balance can be struck between industry/business and regional political interests. For a realistic case study from the northern part of coastal Norway, we explore this balance from several perspectives, investigating value chain profits, economic ripple effects and regional resource usage.

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A hybrid input–output multi-objective model to assess economic–energy–environment trade-offs in Brazil

Cited by 46 publications

References 39 publications

How to balance China’s sustainable development goals through industrial restructuring: a multi-regional input–output optimization of the employment–energy–water–emissions nexus

How to balance China’s sustainable development goals through industrial restructuring: a multi-regional input–output optimization of the employment–energy–water–emissions nexus

The challenging paradigm of interrelated energy systems towards a more sustainable future

Optimizing the Wood Value Chain in Northern Norway Taking Into Account National and Regional Economic Trade-Offs

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