An in depth economic restructuring framework by using particle swarm optimization. (1st April 2019)
- Record Type:
- Journal Article
- Title:
- An in depth economic restructuring framework by using particle swarm optimization. (1st April 2019)
- Main Title:
- An in depth economic restructuring framework by using particle swarm optimization
- Authors:
- Papadakis, Stelios
Markaki, Maria - Abstract:
- Abstract: The aim of this paper is the development of an integrated framework, based on environmental input-output analysis, for optimizing the economic structure of an economy. The restructuring process is approached as a constraint optimization problem where the optimized variables are the elements of the matrix of domestic technical coefficients. A method for determining the optimal level of the productive linkages of an economy in order to maximize its output with the minimal greenhouse gas emissions the possible is suggested. The proposed methodology is able to join both environmental and economic policy targets, in the form of predefined constraints. The objective function, which is going to be minimized, expresses the greenhouse gas emissions (GHG) intensity or GHG emissions per unit of output. A particle swarm algorithm is employed for the solution of the optimization problem. An illustrative application to the Greek economy was carried out. The experimental results revealed that if the Greek economy will apply policies for boosting the sectors of high and medium-high R&D intensity, then the greenhouse gas emission per unit of gross domestic product of Greece would be reduced. Furthermore, the promotion of high and medium-high R&D intensity sectors is connected with an important improvement of the production linkages to a wide range of sectors, highlighting the important spillover effect of the suggested restructuring process. Highlights: An economic restructuringAbstract: The aim of this paper is the development of an integrated framework, based on environmental input-output analysis, for optimizing the economic structure of an economy. The restructuring process is approached as a constraint optimization problem where the optimized variables are the elements of the matrix of domestic technical coefficients. A method for determining the optimal level of the productive linkages of an economy in order to maximize its output with the minimal greenhouse gas emissions the possible is suggested. The proposed methodology is able to join both environmental and economic policy targets, in the form of predefined constraints. The objective function, which is going to be minimized, expresses the greenhouse gas emissions (GHG) intensity or GHG emissions per unit of output. A particle swarm algorithm is employed for the solution of the optimization problem. An illustrative application to the Greek economy was carried out. The experimental results revealed that if the Greek economy will apply policies for boosting the sectors of high and medium-high R&D intensity, then the greenhouse gas emission per unit of gross domestic product of Greece would be reduced. Furthermore, the promotion of high and medium-high R&D intensity sectors is connected with an important improvement of the production linkages to a wide range of sectors, highlighting the important spillover effect of the suggested restructuring process. Highlights: An economic restructuring framework based on input-output analysis is introduced. The matrix of technical coefficients is optimized by using a particle swarm optimizer. The optimized economic structure has minimum greenhouse gas emissions intensity. A demonstrative application to the Greek economy is provided. The results highlight the sectors of the economy that need refining, quantitatively. … (more)
- Is Part Of:
- Journal of cleaner production. Volume 215(2019)
- Journal:
- Journal of cleaner production
- Issue:
- Volume 215(2019)
- Issue Display:
- Volume 215, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 215
- Issue:
- 2019
- Issue Sort Value:
- 2019-0215-2019-0000
- Page Start:
- 329
- Page End:
- 342
- Publication Date:
- 2019-04-01
- Subjects:
- Economic structure optimization -- Input-output analysis -- Particle swarm optimization
Factory and trade waste -- Management -- Periodicals
Manufactures -- Environmental aspects -- Periodicals
Déchets industriels -- Gestion -- Périodiques
Usines -- Aspect de l'environnement -- Périodiques
628.5 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09596526 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jclepro.2019.01.041 ↗
- Languages:
- English
- ISSNs:
- 0959-6526
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4958.369720
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9477.xml