Artikel

Implications of transition towards manufacturing on the environment: Saudi Arabia's Vision 2030 Context

This study is based on the idea that Saudi Arabia's Vision 2030 considered the achievement of economic diversification is very crucial for the economy. In turn, this target requires a sustained increase in the contribution of the manufacturing sector in Gross Domestic Product (GDP). At the same time, the transition towards industrialization might trigger high rates of CO2 emissions, due to the escalated manufacturing demand for primary energy consumption (specifically fossil fuel). Ultimately, the high rates of CO2 emissions would have severe environmental consequences, such as environmental degradation. These environmental consequences might be more dangerous in a country extensively dependent on oil, such as Saudi Arabia. The study aims to investigate the manufacturing and environment nexus in an attempt to explore the validity of the inverted U-shaped curve, the so-called Kuznets hypothesis, during 1971-2021. Applying the econometric model autoregressive distributed lag (ARDL), the findings of the study do not show evidence supporting the validity of an inverted U-shaped Kuznets function in Saudi Arabia during the period of the study. Furthermore, the short-term results do not confirm the impact of increasing manufacturing on CO2 emissions. However, there are indications of positive effects, although limited, in the long-term.

Language
Englisch

Bibliographic citation
Journal: Journal of Risk and Financial Management ; ISSN: 1911-8074 ; Volume: 16 ; Year: 2023 ; Issue: 1 ; Pages: 1-13

Classification
Management
Subject
ARDL
manufacturing
environmental Kuznets curve
Saudi Arabia’
s Vision 2030

Event
Geistige Schöpfung
(who)
Alfantookh, Nasreen
Osman, Yousif
Ellaythey, Isam
Event
Veröffentlichung
(who)
MDPI
(where)
Basel
(when)
2023

DOI
doi:10.3390/jrfm16010044
Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Alfantookh, Nasreen
  • Osman, Yousif
  • Ellaythey, Isam
  • MDPI

Time of origin

  • 2023

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