How energy consumption, industrial growth, urbanization, and CO2 emissions affect economic growth in Pakistan? A novel dynamic ARDL simulations approach

Abbasi, Kashif Raza; Shahbaz, Muhammad; Jiao, Zhilun; Tufail, Muhammad

doi:10.1016/j.energy.2021.119793

Cited by 219 publications

(83 citation statements)

References 58 publications

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“…Considering the determinants of economic growth in Pakistan, Abbasi et al ( 2021b ) investigated the influence of energy consumption, energy prices, industrial value-added, urbanization, industrial growth and carbon dioxide emissions (CO 2 ) on economic growth of Pakistan. The empirical findings of dynamic ARDL simulation model reported that electricity consumption and industrial value-added improve economic growth, whereas electricity prices showed insignificant result in improving economic growth.…”

Section: Literature Reviewmentioning

confidence: 99%

International trade and consumption-based carbon emissions: evaluating the role of composite risk for RCEP economies

Hassan

Song

Kırıkkaleli

2021

Environ Sci Pollut Res

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To tackle the issue of climate change and environmental degradation debates regarding carbon neutrality is on the rise. Regional Comprehensive Economic Cooperation (RCEP), the leading trading union, covers nearly third of global economy, world population, is responsible for thirty percent of global trade and global gross domestic product. The existent study tests the impact of financial, economic, political, and composite risk on consumption-based carbon dioxide emissions (CCO 2 ) in selected RCEP economies during the period of 1990 to 2020. The empirical analysis consists of cross-sectional dependence, slope heterogeneity, cross-sectional augmented panel unit root test, Westerlund cointegration, second-generation cross-section augmented autoregressive distributed lags model (CS-ARDL), and panel causality test. Further, we explore the role of imports, renewable energy supply, exports, and gross domestic product per-capita on CCO 2 . The empirical results suggest that the less political risk help to mitigate while the lower financial, economic, and composite risk increase CCO 2 emissions in selected RCEP economies. Moreover, exports and renewable energy supply show mitigating effect, whereas imports show upsurge in CCO 2 . Additionally, a bidirectional causality exists between exports and CCO 2 , imports and CCO 2 , GDP per-capita and CCO 2 , political risk and CCO 2 , and renewable energy and CCO 2 emissions, while a one-way causality from financial risk, composite risk, and economic risk to CCO 2 . Renewable energy supplies along with the improvement in sub-components of political risk, for instance, corruption, government stability, would help to effectively tackle the issue of CCO 2 emissions.

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Section: Literature Reviewmentioning

confidence: 99%

International trade and consumption-based carbon emissions: evaluating the role of composite risk for RCEP economies

Hassan

Song

Kırıkkaleli

2021

Environ Sci Pollut Res

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“…Industrialization, transport agglomeration, consumption behavior, and population migration from less environmentally harmful rural areas must be analyzed also, from the perspective of urbanization as living process. However, some authors [14] analyzed the relationship between electricity consumption, electricity prices, industrial value-added, urbanization population growth, and CO 2 emissions with gross domestic product and revealed that both urbanization and carbon emissions have a short-run effect on economic growth. Thus, urbanization must not be considered a method for improving the economic sustainability.…”

Section: Introductionmentioning

confidence: 99%

“…The first group of studies consider that urbanization damages the environment through rural population relocation to urban areas, accelerated economic growth [13], consumer behavior and transportation [14,15], energy intensity [33] and industrial development based on fossil fuels (coal) [6,7,9]. Thus, this first category of studies either excludes a discussion on the later stages of urbanization or agrees that urbanization affects the environment, no matter at which stage [16,18,26].…”

Section: Introductionmentioning

confidence: 99%

National Carbon Accounting—Analyzing the Impact of Urbanization and Energy-Related Factors upon CO2 Emissions in Central–Eastern European Countries by Using Machine Learning Algorithms and Panel Data Analysis

Nuţă

Zamfir

et al. 2021

Energies

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The work at hand assesses several driving factors of carbon emissions in terms of urbanization and energy-related parameters on a panel of emerging European economies, between 1990 and 2015. The use of machine learning algorithms and panel data analysis offered the possibility to determine the importance of the input variables by applying three algorithms (Random forest, XGBoost, and AdaBoost) and then by modeling the urbanization and the impact of energy intensity on the carbon emissions. The empirical results confirm the relationship between urbanization and energy intensity on CO2 emissions. The findings emphasize that separate components of energy consumption affect carbon emissions and, therefore, a transition toward renewable sources for energy needs is desirable. The models from the current study confirm previous studies’ observations made for other countries and regions. Urbanization, as a process, has an influence on the carbon emissions more than the actual urban regions do, confirming that all the activities carried out as urbanization efforts are more harmful than the resulted urban area. It is proper to say that the urban areas tend to embrace modern, more green technologies but the road to achieve environmentally friendly urban areas is accompanied by less environmentally friendly industries (such as the cement industry) and a high consumption of nonrenewable energy.

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“…This has allowed society to modernize and enhance its living conditions, along with inevitable public health challenges, via urbanization and industrialization [21,22]. Abbasi et al [23] proved in their study that energy consumption, industrial growth, and urbanization positively impact on the economic progress in Pakistan. Economic progress relies on the energy consumption; hence, any decrease in energy use is predicted to reduce the economic progress.…”

Section: Literature Reviewmentioning

confidence: 99%

Energy Crisis in Pakistan and Economic Progress: Decoupling the Impact of Coal Energy Consumption in Power and Brick Kilns

Rehman

Rădulescu

et al. 2021

Mathematics

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This study aims to examine the impact of coal energy consumption on the economic progress in Pakistan by using annual time series data during 1972–2019. Three-unit root tests were employed to rectify the variables’ stationarity. The quantile regression approach with the extension of cointegration regression test was utilized to check the variables interaction with the economic progress. The outcomes of the quantile regression uncover that coal energy consumption in power sector and coal energy consumption in brick kilns have adverse influence to the economic progress, while total coal energy consumption has a productive association with the economic progress. Similarly, the findings of cointegration regression analysis uncover that via FMOLS (Fully Modified Least Squares) and DOLS (Dynamic Least Squares) that variables coal energy consumption in power sector and brick kilns have an adverse connection with the economic progress, while total coal energy consumption uncover a productive linkage to the economic progress in Pakistan. Pakistan is still facing a deep energy crisis because of the lack of energy production from cheap sources. New possible policies are required in this direction to improve the energy sector by paying more attention to the alternative energy sources to foster the economic progress.

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How energy consumption, industrial growth, urbanization, and CO2 emissions affect economic growth in Pakistan? A novel dynamic ARDL simulations approach

Cited by 219 publications

References 58 publications

International trade and consumption-based carbon emissions: evaluating the role of composite risk for RCEP economies

International trade and consumption-based carbon emissions: evaluating the role of composite risk for RCEP economies

National Carbon Accounting—Analyzing the Impact of Urbanization and Energy-Related Factors upon CO2 Emissions in Central–Eastern European Countries by Using Machine Learning Algorithms and Panel Data Analysis

Energy Crisis in Pakistan and Economic Progress: Decoupling the Impact of Coal Energy Consumption in Power and Brick Kilns

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