Can China realise its energy-savings goal by adjusting its industrial structure?

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

“…Framework of the multi-objective optimization model based on multi-regional input-output analysis A pathway design for policy decisions could be regarded as an MOLP issue, where policymakers need to consider complex objectives regarding the society, economy, energy, resources, and environment. Various algorithms have been proposed to solve MOLP models, such as multi-objective genetic algorithm, multi-objective particle swarm algorithm, multiobjective ant colony algorithm, and differential evolution algorithm [27]. However, either their optimization procedures are like a black box or the weight of each single objective is aggregated subjectively.…”

“…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.…”

Analyzing Carbon Emissions Embodied in Construction Services: A Dynamic Hybrid Input–Output Model with Structural Decomposition Analysis

“…In the field of energy analysis, the DHI/O model was introduced by Rhoten [14]. Researchers have applied DHI/O models in predicting the total energy consumption or energy consumption of different energy sources (such as coal, oil, gas, and non-fossil electricity) under multiple optimization objectives [15][16][17][18]. The DHI/O models have also been adopted for analyzing the development of renewable energy [19] and bioenergy [20].…”

Structural analyses of energy use and carbon emissions – an overview

“…Economic restructuring (the dL term) can potentially achieve significant reductions in energy use and carbon emissions (see also the article by Yu et al (2016) in this Special Issue), however, with the exception of supply-chain greening by individual companies (CIPS, 2000) or sectors (CDP, 2013), concrete experiences with whole-economy restructuring efforts for the sake of environmental and resource policy objectives are virtually unknown. Consumer baskets (the du term) have received more attention, in comparison (see also the contribution by Zhang et al (2016) in this Special Issue), for example through appeals in advertising, NGO campaigning and even government education for environmentally responsible purchasing.…”

“…One of these articles, by Wiebe (2016), describes the application of a combination of forecasting techniques to the structural information contained in a MRIO coefficients matrix. Another one, by Yu et al (2016), examines the possibility of structural change towards reduced energy use in China, by applying multiobjective optimisation to an input-output database. A third, by Owen et al (2016), aims to explain differences between emissions allocated to value chains by different MRIO databases, using structural path decomposition.…”