Optimal Recycling Under Heterogeneous Waste Sources and the Environmental Kuznets Curve
Fouad El Ouardighi (),
Konstantin Kogan () and
Raouf Boucekkine ()
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Fouad El Ouardighi: ESSEC Research Center, ESSEC Business School, Postal: ESSEC Research Center, BP 105, 95021 Cergy, France
Konstantin Kogan: Bar-Ilan University, Postal: Bar-Ilan University, Ramat-Gan, 52900, Israel
No WP1711, ESSEC Working Papers from ESSEC Research Center, ESSEC Business School
We investigate how the relationship between economic growth and pollution is affected by the source of pollution: production or consumption. We are interested in polluting waste that cannot be naturally absorbed, but for which recycling efforts aim to avoid massive pollution accumulation with harmful consequences in the long run. We distinguish the cases where recycling efforts are capital-improving or capital-neutral. Based on both environmental and social welfare perspectives, we determine how the interaction between growth and polluting waste accumulation is affected by the source of pollution, i.e., either consumption or production, and by the fact that recycling may or may not act as an income generator, i.e., either capital-improving or capital-neutral recycling efforts. Several new results are extracted regarding optimal recycling policy and the Environmental Kuznets Curve. Beside the latter concern, we show both analytically and numerically that the optimal control of waste through recycling allows to reaching larger (resp., lower) consumption and capital stock levels under consumption-based waste compared to production-based waste while the latter permits to reach lower stocks of waste through lower recycling efforts.
Keywords: Economic growth; Capital; Consumption; Polluting waste; recycling efforts (search for similar items in EconPapers)
JEL-codes: C61 Q57 (search for similar items in EconPapers)
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Working Paper: Optimal recycling under heterogeneous waste sources and the environmental Kuznets curve (2017)
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Persistent link: https://EconPapers.repec.org/RePEc:ebg:essewp:dr-17011
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