Industrialization, electricity consumption and CO2 emissions in Bangladesh

Shahbaz, Muhammad; Uddin, Gazi Salah; Rehman, Ijaz Ur; Imran, Kashif

doi:10.1016/j.rser.2013.12.028

Cited by 243 publications

(90 citation statements)

References 72 publications

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“…For example, a 1% increase in trade openness causes a 0.316% increase in CO 2 emissions in the short run. This is similar to the findings in Shahbaz et al [44] for the case of Bangladesh. The error-correction term reveals the CO 2 adjustment rate back to its long-run equilibrium level after a shock.…”

Section: Ardl Cointegration Methodssupporting

confidence: 93%

Does Non-Fossil Energy Usage Lower CO2 Emissions? Empirical Evidence from China

Yang

2016

Sustainability

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This paper uses an autoregressive distributed lag model (ARDL) to examine the dynamic impact of non-fossil energy consumption on carbon dioxide (CO 2 ) emissions in China for a given level of economic growth, trade openness, and energy usage between 1965 and 2014. The results suggest that the variables are in a long-run equilibrium. ARDL estimation indicates that consumption of non-fossil energy plays a crucial role in curbing CO 2 emissions in the long run but not in the short term. The results also suggest that, in both the long and short term, energy consumption and trade openness have a negative impact on the reduction of CO 2 emissions, while gross domestic product (GDP) per capita increases CO 2 emissions only in the short term. Finally, the Granger causality test indicates a bidirectional causality between CO 2 emissions and energy consumption. In addition, this study suggests that non-fossil energy is an effective solution to mitigate CO 2 emissions, providing useful information for policy-makers wishing to reduce atmospheric CO 2 .

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Section: Ardl Cointegration Methodssupporting

confidence: 93%

Does Non-Fossil Energy Usage Lower CO2 Emissions? Empirical Evidence from China

Yang

2016

Sustainability

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“…The long-term national policies to increase trade volume enhance environmental quality in Malaysia. However, in comparison to past literature, our results contradict with Shahbaz et al ( , 2014a who noted that trade openness increases CO 2 emissions for Malaysia, Bangladesh and Tunisia but consistent with in case of Pakistan. The positive and statistically significant relationship found between comparative advantage effect and CO 2 emissions.…”

Section: Ectcontrasting

confidence: 90%

Decomposing the trade-environment nexus for Malaysia: what do the technique, scale, composition, and comparative advantage effect indicate?

Ling

Ahmed

Muhamad

et al. 2015

Environ Sci Pollut Res

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131

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This paper investigates the impact of trade openness on CO 2 emissions using time series data over the period of 1970QI-2011QIV for Malaysia. We disintegrate the trade effect into scale, technique, composition and comparative advantage effects to check the environmental consequence of trade at four different transition points. To achieve the purpose, we have employed ADF and PP unit root tests in order to examine the stationary properties of the variables. Later, the long-run association among the variables is examined by applying ARDL bounds testing approach to cointegration. Our results confirm the presence of cointegration. Further, we find that scale effect has positive and technique effect has negative impact on CO 2 emissions after threshold income level and form inverted-U shaped relationship -hence validates the environmental Kuznets curve hypothesis. Energy consumption adds in CO 2 emissions. Trade openness and composite effect improve environmental quality by lowering CO 2 emissions. The comparative advantage effect increases CO 2 emissions and impairs environmental quality. The results provide the innovative approach to see the impact of trade openness in four subdimensions of trade liberalization. Hence, this study attributes more comprehensive policy tool for trade economists to better design environmentally sustainable trade rules and agreements.

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“…We solve this problem by applying the ARDL bounds testing approach to cointegration in the presence of structural breaks following Shahbaz et al (2013Shahbaz et al ( , 2014. Table-5 shows the empirical results of this bounds testing method and evidence reveals that the calculated F-statistic exceeds the upper critical bound at 1%, 5% and 10% levels of significance, respectively.…”

Section: Results Interpretationsmentioning

confidence: 99%

How urbanization affects CO 2 emissions in Malaysia? The application of STIRPAT model

Shahbaz

Loganathan

Muzaffar

et al. 2016

Renewable and Sustainable Energy Reviews

Self Cite

566

171

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Abstract:We investigate the impact of urbanisation on CO 2 emissions by applying the Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) in the case of Malaysia over the period of 1970Q1-2011Q4. Empirically, after testing the integrating properties of the variables using unit root test, we applied the Bayer-Hanck combined cointegration approach to examine the cointegration relationship between the variables. Further, we tested the robustness of long-run relationship in the presence of structural breaks using ARDL bounds testing approach. The causal relationship between the variables is investigated by applying the VECM Granger causality test. Our results validate the existence of cointegration in the presence of structural breaks. The empirical results exposed that economic growth is a major contributor to CO 2 emissions. Besides, energy consumption raises emissions intensity and capital stock boosts energy consumption. Trade openness leads affluence and hence increases CO 2 emissions. More importantly, we find that the relationship between urbanisation and CO 2 emissions is U-shaped i.e. urbanisation initially reduces CO 2 emissions, but after a threshold level, it increases CO 2 emissions. The causality analysis suggests that the urbanization Granger causes CO 2 emissions.

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Industrialization, electricity consumption and CO2 emissions in Bangladesh

Cited by 243 publications

References 72 publications

Does Non-Fossil Energy Usage Lower CO2 Emissions? Empirical Evidence from China

Does Non-Fossil Energy Usage Lower CO2 Emissions? Empirical Evidence from China

Decomposing the trade-environment nexus for Malaysia: what do the technique, scale, composition, and comparative advantage effect indicate?

How urbanization affects CO 2 emissions in Malaysia? The application of STIRPAT model

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