Effects of urbanization and nonrenewable energy on carbon emission in Africa

Hussain, Muhammad Noshab; Li, Zaiyang; Sattar, Abdul

doi:10.1007/s11356-021-17738-2

Cited by 57 publications

(30 citation statements)

References 119 publications

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“…According to the environmental Kuznets curve, when economic development enters an advanced stage, environmental pollution will decline with economic growth. Since the inverted “U”-shaped correlation between the resident income and environment was proposed as environmental Kuznets Curve in 1995 [ 79 , 80 , 81 ], more and more researchers explored and analyzed the environmental Kuznets curve in different areas to evaluate the correlation between economic development and environmental pollution and governance [ 80 , 81 , 82 , 83 , 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 , 92 ] to judge whether there is a pattern of pollution first and then treatment in regional economic development. Based on the STIRPAT model, this study evaluated the possible relationship between carbon emission, environmental Kuznets curve and urbanization in Anhui Province to further explore the changing law of carbon emissions in Anhui Province with the targeted recommendations.…”

Section: Resultsmentioning

confidence: 99%

“…Concurrently, there are many researchers analyzed and reported the impact of social urbanization on the regional carbon emissions to revisit the environmental Kuznets curve in China [ 90 , 91 , 92 ]. An additional square term of GDP per capita variable is added into the STIRPAT regression model defined above to explore whether there is an environmental Kuznets curve on the carbon emissions in Anhui Province.…”

Section: Methodsmentioning

confidence: 99%

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The Carbon Emission Characteristics and Reduction Potential in Developing Areas: Case Study from Anhui Province, China

Zhang

Jiang

Jin

et al. 2022

IJERPH

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Global warming and world-wide climate change caused by increasing carbon emissions have attracted a widespread public attention, while anthropogenic activities account for most of these problems generated in the social economy. In order to comprehensively measure the levels of carbon emissions and carbon sinks in Anhui Province, the study adopted some specific carbon accounting methods to analyze and explore datasets from the following suggested five carbon emission sources of energy consumption, food consumption, cultivated land, ruminants and waste, and three carbon sink sources of forest, grassland and crops to compile the carbon emission inventory in Anhui Province. Based on the compiled carbon emission inventory, carbon emissions and carbon sink capacity were calculated from 2000 to 2019 in Anhui Province, China. Combined with ridge regression and scenario analysis, the STIRPAT model was used to evaluate and predict the regional carbon emission from 2020 to 2040 to explore the provincial low-carbon development pathways, and carbon emissions of various industrial sectors were systematically compared and analyzed. Results showed that carbon emissions increased rapidly from 2000 to 2019 and regional energy consumption was the primary source of carbon emissions in Anhui Province. There were significant differences found in the increasing carbon emissions among various industries. The consumption proportion of coal in the provincial energy consumption continued to decline, while the consumption of oil and electricity proceeded to increase. Furthermore, there were significant differences among different urban and rural energy structures, and the carbon emissions from waste incineration were increasing. Additionally, there is an inverted “U”-shape curve of correlation between carbon emission and economic development in line with the environmental Kuznets curve, whereas it indicated a “positive U”-shaped curve of correlation between carbon emission and urbanization rate. The local government should strengthen environmental governance, actively promote industrial transformation, and increase the proportion of clean energy in the energy production and consumption structures in Anhui Province. These also suggested a great potential of emission reduction with carbon sink in Anhui Province.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

The Carbon Emission Characteristics and Reduction Potential in Developing Areas: Case Study from Anhui Province, China

Zhang

Jiang

Jin

et al. 2022

IJERPH

View full text Add to dashboard Cite

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“…Furthermore, the study reveals the existence of an asymmetric relationship between urbanization, energy consumption and CO 2 emissions because the impact of both components’ increase on CO 2 discharges is not stable with the impact of their decrease. From the global perspective, both urbanization and energy consumption positively and significantly affect CO 2 emissions in the symmetric case (Hussain et al, 2022), although CO 2 emissions are more responsive towards energy consumption than urbanization. Here, urbanization decrease rather than increase has a significant impact, and the post-test also confirms the presence of asymmetry.…”

Section: Discussionmentioning

confidence: 99%

Modelling the Asymmetric Relationship Between Urbanization, Energy Consumption and CO₂ Emissions: A Study of Income Classified Economies

Dey¹,

Sultana²,

Sharmin³

2022

Environment and Urbanization ASIA

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This study investigates how CO2 emissions behave with the increase or decrease in urbanization and energy consumption, employing pooled ordinary least square (OLS) estimator on a panel of 137 countries from 1961–2019. The findings indicate that there is asymmetry between the process of urbanization, energy consumption and CO2 emissions. From a global perspective, the asymmetry of urbanization on CO2 emissions is more prominent than energy consumption, although CO2 emissions are more responsive towards energy consumption in symmetric cases. For low-income economies, urbanization does not exhibit any significant impact on carbon emission, but energy consumption does. For lower-middle income economies, a lower level of urbanization has a greater impact on CO2 emission than an increase in urbanization, but carbon emissions are more reactive towards energy consumption. Moreover, both urbanization and energy consumption posit a significant impact on carbon emission for upper-middle income economies. Therefore, environment-friendly urbanization and efficient energy consumption should be prioritized to offset the negative externalities.

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“…The most important advantage of panel quantile regression (PQR), unlike traditional regression approaches, is to catch and eliminate outliers between expected and observed variables related to the inaccuracy of prediction coefficients (Anwar et al, 2021;Akbar et al, 2022;Hussain and Sattar, 2022). Because the PQR focuses on average effects (Anwar et al, 2021;.…”

Section: Quantile Regressionmentioning

confidence: 99%

How Do Environmental Protection Expenditures Affect Health Status? Evidence From Panel Quantile Regression

Barak

Tunc

2022

Kafkas Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi

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The relationship between environment and health status has attracted intensive attention in recent years. However, limited studies have focused on environmental protection expenditure on health status. This study empirically tests the links of environmental protection expenditure with health status for 20 European countries over the period 1995-2019. For empirical analysis, this study used panel quantile regression. The empirical results show that while environmental protection expenditure, GDP, and education help to ameliorate health status, CO2 emissions worse health status. Hence, efficient environmental protection expenditure and environmental policies must align with strategies to improve health status.

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Effects of urbanization and nonrenewable energy on carbon emission in Africa

Cited by 57 publications

References 119 publications

The Carbon Emission Characteristics and Reduction Potential in Developing Areas: Case Study from Anhui Province, China

The Carbon Emission Characteristics and Reduction Potential in Developing Areas: Case Study from Anhui Province, China

Modelling the Asymmetric Relationship Between Urbanization, Energy Consumption and CO₂ Emissions: A Study of Income Classified Economies

How Do Environmental Protection Expenditures Affect Health Status? Evidence From Panel Quantile Regression

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Effects of urbanization and nonrenewable energy on carbon emission in Africa

Cited by 57 publications

References 119 publications

The Carbon Emission Characteristics and Reduction Potential in Developing Areas: Case Study from Anhui Province, China

The Carbon Emission Characteristics and Reduction Potential in Developing Areas: Case Study from Anhui Province, China

Modelling the Asymmetric Relationship Between Urbanization, Energy Consumption and CO2 Emissions: A Study of Income Classified Economies

How Do Environmental Protection Expenditures Affect Health Status? Evidence From Panel Quantile Regression

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Modelling the Asymmetric Relationship Between Urbanization, Energy Consumption and CO₂ Emissions: A Study of Income Classified Economies