Ascertainment of Ecological Footprint and Environmental Kuznets in China

Udemba, Edmund Ntom

doi:10.1007/978-981-16-0096-8_3

Cited by 6 publications

(2 citation statements)

References 32 publications

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“…The application of the VECM model is used in many studies with the use of Granger causality to determine the potential relationship that occurs. Research by Udemba (2021) proves empirically that with the application of the VECM method in China, the use of energy consumption and fossil fuels causes environmental damage that allows it to exceed the ecological footprint in China. In addition, research by Etokakpan et al (2020) in Turkey proved that energy demand, which is a global demand, is a component of the economy.…”

Section: Resultsmentioning

confidence: 98%

The ecological footprint of industrial value added and energy consumption in Indonesia

Kurniawan,

Nugroho,

Fudholi

et al. 2023

IJESM

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Purpose The purpose of this paper is to determine the effect of the industrial sector, renewable energy consumption and nonrenewable energy consumption in Indonesia on the ecological footprint from 1990 to 2020 in the short and long term. Design/methodology/approach This paper uses vector error correction model (VECM) analysis to examine the relationship in the short and long term. In addition, the impulse response function is used to enable future forecasts up to 2060 of the ecological footprint as a measure of environmental degradation caused by changes or shocks in industrial value-added, renewable energy consumption and nonrenewable energy consumption. Furthermore, forecast error decomposition of variance (FEVD) analysis is carried out to predict the percentage contribution of each variable’s variance to changes in a specific variable. Granger causality testing is used to enhance the analysis outcomes within the framework of VECM. Findings Using VECM analysis, the speed of adjustment for environmental damage is quite high in the short term, at 246%. This finding suggests that when there is a short-term imbalance in industrial value-added, renewable energy consumption and nonrenewable energy consumption, the ecological footprint experiences a very rapid adjustment, at 246%, to move towards long-term balance. Then, in the long term, the ecological footprint in Indonesia is most influenced by nonrenewable energy consumption. This is also confirmed by the Granger causality test and the results of FEVD, which show that the contribution of nonrenewable energy consumption will be 10.207% in 2060 and will be the main contributor to the ecological footprint in the coming years to achieve net-zero emissions in 2060. In the long run, renewable energy consumption has a negative effect on the ecological footprint, whereas industrial value-added and nonrenewable energy consumption have a positive effect. Originality/value For the first time, value added from the industrial sector is being used alongside renewable and nonrenewable energy consumption to measure Indonesia’s ecological footprint. The primary cause of Indonesia’s alarming environmental degradation is the industrial sector, which acts as the driving force behind this issue. Consequently, this contribution is expected to inform the policy implications required to achieve zero carbon emissions by 2060, aligned with the G20 countries’ Bali agreement of 2022.

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Section: Resultsmentioning

confidence: 98%

The ecological footprint of industrial value added and energy consumption in Indonesia

Kurniawan,

Nugroho,

Fudholi

et al. 2023

IJESM

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“…Ekolojik ayak izi dışında literatürde çevresel gösterge olarak CO2, su kirlilik oranı, SO2 gibi birçok değişken kullanılmaktadır. Fakat literatürdeki son araştırmalarda incelendiği üzere Udemba (2021), Saqib ve Benhmad (2021), Ansari vd. (2020), Dogan vd.…”

Section: Introductionunclassified

Dış Ticaret-Çevre Kirliliği İlişkisi: Türkiye Ekonomisi Üzerinden Analiz

Çütcü,

Yavuz,

Gerlikhan

2024

Alanya Akademik Bakış

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Çalışmada, Türkiye ekonomisi üzerinden dış ticaret ile çevre arasındaki ilişki 1960-2015 dönemi yıllık verileri ile incelenmektedir. Çevresel gösterge olarak daha kapsayıcı olması bakımından ekolojik ayak izi kullanılmaktadır. Dış ticaret göstergeleri olarak ise ihracat ithalat verileri modele dahil edilmiştir. Kontrol değişken olarak ise ekolojik ayak izini etkilediği bilinen enerji tüketimi verileri kullanılacaktır. Yapısal kırılmaya izin veren zaman serisi analizlerinin kullanıldığı çalışmada; Maki eşbütünleşme testine göre değişkenler arasında yapısal kırılmalar ile birlikte uzun dönemli ilişki görülmektedir. Zamanla Değişen Nedensellik Analizi sonuçlarına göre GDP’den ekolojik ayak izine doğru herhangi bir nedensellik ilişkisi yakalanmamış olup diğer tüm değişkenlerin bağımlı değişken olan ekolojik ayak izi ile belirtilen tarih aralıklarında çift yönlü nedensellik ilişkisi görülmüştür.

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