Investigating the validity of the agricultural-induced environmental Kuznets curve (EKC) hypothesis for Ghana: evidence from an autoregressive distributed lag (ARDL) approach with a structural break

Ntim-Amo, Gideon; Qi, Yin; Ankrah-Kwarko, Ernest; Twumasi, Martinson Ankrah; Ansah, Stephen; Kissiwa, Linda Boateng; Ran, Ruiping

doi:10.1108/meq-05-2021-0109

Cited by 13 publications

(5 citation statements)

References 118 publications

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“…Stationarity test shows the level of integration of each variable understudy. Similar work has been conducted by some scholars [39][40][41] using ARDL model.…”

Section: Model Estimation Proceduresmentioning

confidence: 57%

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Impact of Climate Change on Cassava Yield in Nigeria: An Autoregressive Distributed Lag Bound Approach

et al. 2022

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Across the globe, climate change is threatening the environment, crop yield and food security. The key to ensuring a sustainable environment, crop yield increase and food security is to identify the long-term significant impact of climate change and the means of reducing the effect. This study examined the impacts of climate change on cassava yield in Nigeria. Data were sourced from the Climate Change Knowledge Portal and the Food and Agricultural Organization of the United Nations spanning from 1990 to 2019. The impact of climate change was analyzed using Autoregressive Distributed Lag Bound approach, Error Correction Model and Augmented Dickey–Fuller and Phillips–Perron tests for stationarity test. The model was subjected to diagnostic tests such as stability tests, normality tests, serial correlation tests and heteroscedasticity tests. With the exception of temperature, the study revealed that arable land, rainfall and greenhouse gases such as C2O, nitrous oxide and methane had a long-term significant impact on cassava yield in Nigeria. The study also noted that methane causes long-term significant damage to cassava yield more than any other greenhouse gas and climatic variables in the study. We recommended policies and programs that facilitate the uptake of climate-smart agriculture that centers on greenhouse gas emission reduction and on crop improvement research by breeding crop varieties that will be resilient to climate shocks.

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“…Stationarity test shows the level of integration of each variable understudy. Similar work has been conducted by some scholars [39][40][41] using ARDL model.…”

Section: Model Estimation Proceduresmentioning

confidence: 57%

“…The first step in the ARDL relationship analysis is the stationarity test (unit root test) [39]. Stationarity test shows the level of integration of each variable understudy.…”

Section: Model Estimation Proceduresmentioning

confidence: 99%

Impact of Climate Change on Cassava Yield in Nigeria: An Autoregressive Distributed Lag Bound Approach

et al. 2022

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“…To this day, numerous studies confirmed the presence of the EKC model in various types of environmental degradation indicators; for instance, EKC-carbon dioxide (Prastiyo et al, 2020;Danish et al, 2021;Koshta et al, 2021;Ntim-Amo et al, 2022;Massagony and Budiono, 2023), EKC-ecological footprint (Ulucak and Bilgili, 2018;Ansari, 2022;Fatima et al, 2021;Ozturk et al, 2023); EKCdeforestation (Waluyo and Terawaki, 2016;Ajanaku and Collins, 2021;Destiartono and Ekananda, 2023Caravaggio, 2020and Tsiantikoudis et al, 2019; and EKC-nitrous oxide (Islam, 2021 andCho et al, 2014). In accordance with methane emissions, the Kuznets' turning point can be smoothed by advancing the role of renewable energy, crop diversification, and technological innovation (Islam, 2021).…”

Section: Literature Reviewmentioning

confidence: 92%

Does the Linkage between GDP, Renewable Energy, and Methane Validate the EKC hypothesis? Evidence from Indonesia

Destiartono,

Firmansyah

2024

IJEEP

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Is it feasible for Indonesia to sustain economic growth while simultaneously reducing methane emissions? This paper aims to unravel the Environmental Kuznets Curve (EKC) hypothesis for methane by integrating the role of renewable energy by employing annual data for the period 1990-2020. Autoregressive distributed lag (ARDL)-bounds testing is applied to estimate the dynamic and cointegration relationships. Also, this paper performs both traditional and breakpoint unit root tests. The EKC hypothesis is confirmed since there is an inverse U-curve nexus between GDP and methane per capita. The income turning point is 14,516 USD per capita. Indonesia’s income level is still below its estimated EKC threshold, implying that economic growth forces methane emissions to scale up. A 1% increase in GDP per capita leads to a 4.59% increase in methane per capita. However, renewable energy has a beneficial role in tackling methane emissions. A 1% increase in the share of renewable energy use leads to a 0.36% decrease in methane per capita. It is therefore recommended that to mitigate the damaging impact of economic growth, governments should enhance the share of energy use from renewable sources.

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“…Industrialization has been found to increase carbon dioxide emissions by Aboagye (2017). While Ntim-Amo et al (2021) reported that agriculture increases carbon dioxide emissions in their studies; Prastiyo and Hardyastuti (2020) had contrary results.…”

Section: Literature Reviewmentioning

confidence: 93%

Renewable energy consumption and carbon dioxide emissions in Ghana: the effect of financial strength of listed financial institutions

Kwakwa

Aboagye²,

Acheampong³

et al. 2023

IJESM

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Purpose The desire for a sustainable environment has led to the need to reduce carbon dioxide emissions and increase renewable energy usage. Empirical evidence generally shows that financial development has a significant effect on these two variables. However, little is known about how the financial strength of financial institutions influences them in the fight against climate change. This study aims to assess the effect of the financial strength of listed financial institutions on renewable energy consumption and carbon dioxide emissions in Ghana. Design/methodology/approach Regression analyses were used to estimate the effect of asset quality, credit management, return on equity/asset and firm size on renewable energy consumption and carbon dioxide emissions for data covering from 2009 to 2018. Findings The results revealed that return on equity reduces renewable energy consumption and increases carbon dioxide emissions. It is also found that credit risk management and asset quality positively influence renewable energy consumption but reduce carbon dioxide emissions in Ghana. Practical implications Policymakers need to identify profitable but less polluting ventures and draw the attention of financial institutions in the country. This may cause banks and other lending-giving institutions to desist from giving credits to support environmentally harmful ventures. Originality/value The paper assessed the effect that the financial strength of financial institutions has on renewable energy consumption and carbon dioxide emissions.

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Investigating the validity of the agricultural-induced environmental Kuznets curve (EKC) hypothesis for Ghana: evidence from an autoregressive distributed lag (ARDL) approach with a structural break

Cited by 13 publications

References 118 publications

Impact of Climate Change on Cassava Yield in Nigeria: An Autoregressive Distributed Lag Bound Approach

Impact of Climate Change on Cassava Yield in Nigeria: An Autoregressive Distributed Lag Bound Approach

Does the Linkage between GDP, Renewable Energy, and Methane Validate the EKC hypothesis? Evidence from Indonesia

Renewable energy consumption and carbon dioxide emissions in Ghana: the effect of financial strength of listed financial institutions

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