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Innovation, income, and waste disposal operations in Korea: evidence from a spectral granger causality analysis and artificial neural networks experiments

Marco Mele (), Cosimo Magazzino (), Nicolas Schneider (), Antonia Rosa Gurrieri () and Hêriş Golpira ()
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Marco Mele: Roma Tre University
Nicolas Schneider: Paris 1 Panthéon-Sorbonne University
Antonia Rosa Gurrieri: University of Foggia
Hêriş Golpira: Islamic Azad University

Economia Politica: Journal of Analytical and Institutional Economics, 2022, vol. 39, issue 2, No 4, 427-459

Abstract: Abstract The aim of this paper is to assess the causal relationship among innovation in environment-related technologies, per capita income, and three major waste disposal operations (landfill, recycling, and incineration) for Korea. A time-series analysis over the frequency domain (Breitung–Candelon Spectral Granger causality) is applied, followed by Artificial Neural Networks experiments over the 1985–2016 period. Empirical results highlight that economic growth is tightly linked both to the growth of recycled waste and to the increase of environment-related innovations. Findings also highlight that waste recycling operations can spur the level of economic activity.

Keywords: Municipal solid waste; Waste recycling; Waste incineration; R&D; Artificial neural networks; Korea (search for similar items in EconPapers)
JEL-codes: C22 C39 Q50 Q53 (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s40888-022-00261-z

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