Revisiting the role of forestry, agriculture, and renewable energy in testing environment Kuznets curve in Pakistan: evidence from Quantile ARDL approach

Aziz, Noshaba; Sharif, Arshian; Raza, Ali; Kong, Rong

doi:10.1007/s11356-020-07798-1

Cited by 141 publications

(72 citation statements)

References 112 publications

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“…Thus, TII is expected to have a negative association with emissions that is,

β_{2} = \frac{{CO}_{2 t}}{{TII}_{normalt}} < 0

(Khan, Zhang, Kumar, et al, 2020). The economic growth increase production and consumption that is mainly attributed to higher energy consumption therefore GDP is expected to increase emissions, while this effect becomes less pronounced and turns negative after a certain threshold, that confirms the EKC hypothesis (Aziz, Mihardjo, Sharif, & Jermsittiparsert, 2020; Aziz, Sharif, Raza, & Rong, 2020). Thus;

β_{3} = \frac{{CO}_{2 t}}{{GDP}_{normalt}} > 0

and

β_{4} = \frac{{CO}_{2 t}}{{GDP}^{2}_{normalt}} < 0

.…”

Section: Methodssupporting

confidence: 61%

“…Further, the ZA unit root confirms structural breaks in our time series data. Therefore, the QARDL method is the most suitable technique which accounts for nonlinearity, structural breaks, and dynamic trend (Aziz, Mihardjo, et al, 2020; Aziz, Sharif, et al, 2020; Godil, Sharif, Agha, & Jermsittiparsert, 2020; Sharif et al, 2020). Before going forward, we briefly explain the expected theoretical background of highlighted structural breaks.…”

Section: Data Analysis and Discussionmentioning

confidence: 99%

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Asymmetric role of tourism development and technology innovation on carbon dioxide emission reduction in the Chinese economy: Fresh insights from QARDL approach

Razzaq

Sharif

Ahmad

et al. 2020

Sustainable Development

Self Cite

189

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This study examines the association between tourism development, technology innovation, and carbon emissions by simultaneously testing Environment Kuznets Curve (EKC) hypothesis in China. The study develops and uses a novel composite index of tourism development and technology innovation. Utilizing quarterly data from 1995Q1 to 2017Q4, the study employs QARDL (Quantile Autoregressive Distributive Lag) approach and Granger causality‐in‐quantiles. The outcome of the study reveals that the observed relationship is quantile‐dependent, which may disclose misleading results in previous studies using traditional linear methodologies (such as OLS/ARDL) that address the averages. Primarily, the findings indicate that tourism development (TOR) and technology innovation (TII) significantly mitigate the level of carbon dioxide emissions (CO2) in the long run at lower‐higher (0.05–0.95) emissions quantiles and higher‐highest (0.7–0.95) emissions quantiles, respectively. Economic growth (GDP) and globalization (GLO) exert a positive asymmetric influence on CO2 only at lower‐medium (0.05–0.40) emissions quantiles and medium‐higher emissions quantiles (0.50–0.95), respectively. In the short run, TII, and GDP2 possess an insignificant impact across all emissions levels, while TOR shows a positive influence on CO2 only at lowest‐lower (0.05–0.20) emissions quantiles. The study confirms the presence of the EKC hypothesis at lower‐higher (0.05–0.70) emissions quantiles in the long run. Moreover, the outcomes of Granger causality in quantiles confirm asymmetric bidirectional quantile causality between TOR, TII, GLO, and CO2, while a unidirectional causality running from GDP to CO2. The results recommend that the Chinese government should implement integrated “tourism‐technology” policies based on the asymmetric emissions‐reduction effects of tourism and technology innovation in the long run.

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“…Thus, TII is expected to have a negative association with emissions that is,

β_{2} = \frac{{CO}_{2 t}}{{TII}_{normalt}} < 0

β_{3} = \frac{{CO}_{2 t}}{{GDP}_{normalt}} > 0

and

β_{4} = \frac{{CO}_{2 t}}{{GDP}^{2}_{normalt}} < 0

.…”

Section: Methodssupporting

confidence: 61%

Section: Data Analysis and Discussionmentioning

confidence: 99%

Asymmetric role of tourism development and technology innovation on carbon dioxide emission reduction in the Chinese economy: Fresh insights from QARDL approach

Razzaq

Sharif

Ahmad

et al. 2020

Sustainable Development

Self Cite

189

View full text Add to dashboard Cite

show abstract

“…Early research confirms the EKC for Algeria by Bouznit and Pablo-Romero (2016) and for Eastern and North African countries Arouri, Youssef et al, (2012), for subsehrah Africa Ozturk and Bilgili., (2015), EKC confirmed by Demissew Beyene and Kotosz (2020). For India EKC confirmed by Sinha and Shahbaz (2018), Sinha and bhattacharya (2017), for Qatar by Mrabet and Alsamara (2017), for BRI countries by Rauf et al (2018), for south Asian countries Nasreen et al, (2017), and Ahmed et al, (2017), for Nigeria by Nnaji et al (2013), Joo et al (2015), Mesagan (2015), for Portugal , for Pakistan by Haseeb and Azam (2015) Mirza and Kanwal(2017), Sharif et al (2017), Aziz et al (2020), for China by Solarin et al (2017), Yuan et al (2015), Riti et al (2017), Koondhar et al (Koondhar, Qiu et al 2018), (2020.…”

Section: Introductionmentioning

confidence: 89%

A visualization review analysis of the last two decades for environmental Kuznets curve “EKC” based on co-citation analysis theory and pathfinder network scaling algorithms

Koondhar

Shahbaz²,

Memon

et al. 2021

Environ Sci Pollut Res

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“…The QARDL Model is the modified version of the ARDL Model and examines the COVID-19 and Financial Development's nonlinear relationship based on the asymmetric linkage. Further, the dependency of parameters examined the long-run and short-run integration association using the Wald test (Aziz et al, 2020;Godil et al, 2020).…”

Section: Qardl Approachmentioning

confidence: 99%

The asymmetric effect of COVID-19 outbreak, commodities prices and policy uncertainty on financial development in China: evidence from QARDL approach

Jiang

Zhang

Razi

et al. 2021

Economic Research-Ekonomska Istraživanja

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COVID-19 epidemic has brought uncertainty to each sector of the global economy, including the financial sector. The widely spread disease has a drastic effect, which massively created health and financial crisis and virtually pushed the economy to the brink of recession. The study focused on the financial development of China during the COVID-19 pandemic and analyzed the long-term and short-term impact of COVID-19, oil prices, gold prices, and global economic policy uncertainty on the financial development of the country. The QARDL model, Wald test, and Granger causality tests are employed to assess the daily data of variables from January 1, 2020, to March 15, 2021. The study's empirical results revealed that an increase in the number of COVID-19 registered patients has an unprecedented negative effect on financial development, whereas the oil prices co-moved with the financial performance. On the other hand, gold prices and global economic policy uncertainty are negatively correlated with financial development. This study offers various policy recommendations to help the investors, government, and decision-makers to make better decisions for the improvement of the financial development of China.

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Revisiting the role of forestry, agriculture, and renewable energy in testing environment Kuznets curve in Pakistan: evidence from Quantile ARDL approach

Cited by 141 publications

References 112 publications

Asymmetric role of tourism development and technology innovation on carbon dioxide emission reduction in the Chinese economy: Fresh insights from QARDL approach

Asymmetric role of tourism development and technology innovation on carbon dioxide emission reduction in the Chinese economy: Fresh insights from QARDL approach

A visualization review analysis of the last two decades for environmental Kuznets curve “EKC” based on co-citation analysis theory and pathfinder network scaling algorithms

The asymmetric effect of COVID-19 outbreak, commodities prices and policy uncertainty on financial development in China: evidence from QARDL approach

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