Abstract
AbstractWe propose a spatial equilibrium problem for a pulp and paper supply chain network under the Emission Trading System (ETS) and the circular economy principles. The developed closed-loop supply chain model, based on the variational inequality theory, accounts for the forest deployment and the production of paper using both virgin pulp and recyclable paper waste in an area that is subject to the ETS. In addition, it considers the exchanges of virgin pulp, paper, recyclable and not-recyclable paper waste between this regulated area and geographical zones where no environmental policies apply. The aim of this paper is to investigate the ETS impacts on the pulp and paper industries located in an environmentally regulated area in terms of operating costs, production and trading volumes of the aforementioned commodities, and emissions generated. The case study focuses on the European pulp and paper companies, which are among the energy-intensive industries deemed to be exposed to the carbon leakage risk as a consequence of the ETS application. Sensitivity analyses on the carbon price value and on the trade flexibility are conducted. Our results show that the ETS implies additional costs for the European pulp and paper companies and induces them to resort more on imports of virgin pulp and paper from not-regulated zones.
Funder
Università degli Studi di Brescia
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Management Science and Operations Research,Control and Optimization
Reference25 articles.
1. Allevi, E., Oggioni, G., Riccardi, R., Rocco, M.: An equilibrium model for the cement sector: EU-ETS analysis with power contracts. Annals Oper. Res. 255, 63–93 (2016)
2. Banca d’Italia: (2020). Indagine sui trasporti internazionali di merci. Available at https://www.bancaditalia.it/pubblicazioni/indagine-trasporti-internazionali/index.html?dotcache=refresh
3. Brännlund, R., Chung, Y., Färe, R., Grosskopf, S.: Emissions trading and profitability: the Swedish pulp and paper industry. Environ. Resour. Econ. 12, 345–356 (1998)
4. Bredström, D., Lundgren, J.T., Rönnqvist, M., Carlsson, D., Mason, A.: Supply chain optimization in the pulp mill industry-IP models, column generation and novel constraint branches. Eur. J. Oper. Res. 156, 2–22 (2004)
5. Bender, P., Northup, W., Shapiro, J.: Practical modeling for resource management, pp. 163–173. Harvard Business Review, March–April (1981)