Consumption-based carbon emissions and International trade in G7 countries: The role of Environmental innovation and Renewable energy

Khan, Zeeshan; Ali, Shahid; Umar, Muhammad; Kırıkkaleli, Derviş; Jiao, Zhilun

doi:10.1016/j.scitotenv.2020.138945

Cited by 541 publications

(325 citation statements)

References 45 publications

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“…With low taxes on firm can improve environmental performance and with thus a country can reduced their consumption based carbon emission. These study supported the results of Khan et al (2020a), Alvarez-Herranz et al (2017 and Zhang et al (2017).…”

Section: Empirical Findings and Discussionsupporting

confidence: 91%

Does Energy Productivity and Technological Innovation Limit Trade-Adjusted Carbon Emissions?

Wahab

Zhang

Safi

et al. 2020

Economic Research-Ekonomska Istraživanja

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Section: Empirical Findings and Discussionsupporting

confidence: 91%

Does Energy Productivity and Technological Innovation Limit Trade-Adjusted Carbon Emissions?

Wahab

Zhang

Safi

et al. 2020

Economic Research-Ekonomska Istraživanja

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“…Unlike conventional econometric approaches, this study first test for slope coefficients homogeneity (SCH) and cross‐section independence (CSI), since ignoring these issues may cause inconsistent and biased estimation results (Khan, Ali, Umar, Kirikkaleli, & Jiao, 2020; Li, Zhang, Ali, & Khan, 2020; Ulucak & Khan, 2020). For this purpose, test in Baltagi and Hashem Pesaran (2007) is used for SCH, since assuming homogenous coefficient is considered a strong assumption which may or may not hold.…”

Section: Methodsmentioning

confidence: 99%

“…This test is robust and performs efficiently as compared to pooled mean group, mean group, augmented mean group, and common correlated effect mean group (Danish, 2019; Li et al, 2020). This approach not only tackles heterogeneous slope coefficients, non‐stationarity (mixed order of integration too), endogeneity, and cross‐section dependence but also deals with unobserved common factors, which are significant, since ignoring unobserved common factors may provide biased estimation results (Khan, Ali, Umar, Kirikkaleli, & Jiao, 2020). The general form of CS‐ARDL is given as:

{CO}_{2, it} = α_{0} + \sum_{j = 1}^{p} λ_{it} {CO}_{2, normali, normalt - normalj} + \sum_{j = 0}^{p} ά_{it} W_{normalt - normalj} + \sum_{j = 0}^{3} ΰ_{it} {\overset{false¯}{Z}}_{normalt - normalj} + μ_{it}

where

\overset{Z}{true}

t = (∆

\overset{CO}{true}

2,it ,

\overset{W}{true}

t ´)´ and W it = (FD it , FDS it , GDP it , ECI it , REC it )´, that is, W is the set of explanatory variables, namely fiscal decentralization, square of fiscal decentralization, GDP, eco‐innovation, and renewable energy consumption.…”

Section: Methodsmentioning

confidence: 99%

Does fiscal decentralization and eco‐innovation promote sustainable environment? A case study of selected fiscally decentralized countries

Umar

Ali

et al. 2020

Sustainable Development

Self Cite

180

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This study highlights the importance of fiscal decentralization in promoting a sustainable environment. The literature on the importance of fiscal decentralization in affecting environmental quality is scant, and thus, this study attempts to fill the gap by incorporating the linear and nonlinear terms of fiscal decentralization as possible determinants for CO2 emissions. Particularly, we utilize data from seven highly fiscally decentralized countries, that is, Australia, Austria, Belgium, Canada, Germany, Spain, and Switzerland, over the period 1990–2018. For empirical analysis, advanced panel data econometric tools are used that can deal with both heterogeneous coefficients and dependence of cross‐sections. The findings confirm that linear and nonlinear terms of fiscal decentralization improve the environment by reducing CO2 emissions. Moreover, gross domestic product (GDP) increases, while eco‐innovation and renewable energy usage reduce CO2 emissions. This study recommends that any policy that targets green growth will affect CO2 emissions. Moreover, policies targeting fiscal decentralization, GDP, eco‐innovation, and renewable energy will play the role in more than 1 year, namely in the long run.

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“…Consumption-based carbon emissions are essential to deal because it not only takes into account global production chain but also provides the origin of emissions and differentiate between emissions produced in one country and consumed in the other (Peters et al, 2011;Wiebe & Yamano, 2016 On the other hand, technological innovation, that is, eco-innovation, energy-saving innovation, and energy-efficient technology or low energy-intensive technology, shall be helpful in the reduction of carbon emissions (Khan et al 2020;Brock & Taylor, 2005;Shahbaz et al, 2018;Tang & Tan, 2013 3.2 | Econometrics approach…”

Section: Literature Reviewmentioning

confidence: 99%

The impact of technological innovation and public‐private partnership investment on sustainable environment in China: Consumption‐based carbon emissions analysis

Khan

Muhsin

Kırıkkaleli

et al. 2020

Sustainable Development

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248

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The present study investigates the effect of public-private partnership investment in energy and technological innovation on consumption-based carbon emissions for China from 1990Q 1-2017Q 2. This study employs generalized least square (GLS) based unit root test, Maki cointegration test, fully modified ordinary least square (FMOLS), dynamic ordinary least square (DOLS), canonical cointegration regression (CCR) and frequency domain causality test. The finding of this study shows that (a) the cointegrating relationship among public-private partnership investment in energy, technological innovation, renewable energy consumption, exports, imports, and consumption-based carbon emissions is proved; (b) exports, renewable energy consumption and technological innovation are helpful to lower consumption-based carbon emissions; (c) both public-private partnership investment in energy, GDP and imports leads to increased consumption-based carbon emissions; (d) in the long term, public-private partnership investment and technological innovation cause consumption-based carbon emissions in China. This study recommends technological innovation for the cleaner production process and public-private partnership investment in renewable energy.

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Consumption-based carbon emissions and International trade in G7 countries: The role of Environmental innovation and Renewable energy

Cited by 541 publications

References 45 publications

Does Energy Productivity and Technological Innovation Limit Trade-Adjusted Carbon Emissions?

Does Energy Productivity and Technological Innovation Limit Trade-Adjusted Carbon Emissions?

Does fiscal decentralization and eco‐innovation promote sustainable environment? A case study of selected fiscally decentralized countries

The impact of technological innovation and public‐private partnership investment on sustainable environment in China: Consumption‐based carbon emissions analysis

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