| Title |
Innovation, income, and waste disposal operations in Korea: evidence from a spectral granger causality analysis and artificial neural networks experiments |
| ID_Doc |
19924 |
| Authors |
Mele, M; Magazzino, C; Schneider, N; Gurrieri, AR; Golpira, H |
| Title |
Innovation, income, and waste disposal operations in Korea: evidence from a spectral granger causality analysis and artificial neural networks experiments |
| Year |
2022 |
| Published |
Economia Politica, 39.0, 2 |
| DOI |
10.1007/s40888-022-00261-z |
| 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. |
| Author Keywords |
Municipal solid waste; Waste recycling; Waste incineration; R&D; Artificial neural networks; Korea |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Social Science Citation Index (SSCI) |
| EID |
WOS:000772447600002 |
| WoS Category |
Economics |
| Research Area |
Business & Economics |
| PDF |
https://link.springer.com/content/pdf/10.1007/s40888-022-00261-z.pdf
|