The aim of this paper is to analyze the relationship among iron and steel industries, air pollution and economic growth in China. Using monthly time series from 2000 to 2017, we adopt a Long Short Term Memory (LSTM) approach. The empirical results show that the relationship between economic growth and steel production is very strong in the first stage. Furthermore, in our model, we can see that the reduction of polluting emissions is linked to the principle of sustainable development. In particular, this phenomenon lies in the economic growth model responsible for the future generation.

Mele, M., Magazzino, C. (2020). A Machine Learning analysis of the relationship among iron and steel industries, air pollution, and economic growth in China. JOURNAL OF CLEANER PRODUCTION, 277 [10.1016/j.jclepro.2020.123293].

A Machine Learning analysis of the relationship among iron and steel industries, air pollution, and economic growth in China

Mele M.;Magazzino C.
2020-01-01

Abstract

The aim of this paper is to analyze the relationship among iron and steel industries, air pollution and economic growth in China. Using monthly time series from 2000 to 2017, we adopt a Long Short Term Memory (LSTM) approach. The empirical results show that the relationship between economic growth and steel production is very strong in the first stage. Furthermore, in our model, we can see that the reduction of polluting emissions is linked to the principle of sustainable development. In particular, this phenomenon lies in the economic growth model responsible for the future generation.
2020
Mele, M., Magazzino, C. (2020). A Machine Learning analysis of the relationship among iron and steel industries, air pollution, and economic growth in China. JOURNAL OF CLEANER PRODUCTION, 277 [10.1016/j.jclepro.2020.123293].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/370569
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 140
  • ???jsp.display-item.citation.isi??? 140
social impact