Heterogeneous effects of urbanization and environment Kuznets curve hypothesis in Africa

Hussain, Muhammad Noshab; Li, Zaiyang; Yang, Shaohua

doi:10.1111/1477-8947.12284

Cited by 7 publications

(6 citation statements)

References 64 publications

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“…The finding further suggests that individuals in the urban centers of East Africa adopted sophisticated and modern technologies that are more carbon-intensive due to their rising income levels, thereby offsetting environmental quality. Hussain et al (2023) supported this finding by confirming urbanization as harmful to environmental quality in 54 African nations, while Opoku Marfo et al ( 2023) reported a similar finding for Ghana. However, Khan and Khan (2023) found a nonlinear relationship between urbanization and environmental pollution in Belt and Road Initiative countries, while Tawfeeq (2023) discovered a negative association between urbanization and CO 2 emissions in the United States.…”

Section: Discussion Of the Resultsmentioning

confidence: 78%

Does industrialization promote the emission mitigation agenda of East Africa? a pathway toward environmental sustainability

Yu,

Zhao,

Musah

et al. 2024

Front. Environ. Sci.

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Africa’s economy continues to be characterized by increasing environmental pollution caused by anthropogenic activities. Despite the implications of environmental pollution in the continent, little attention has been paid to it, although almost all its countries are signatories to the Paris Agreement. One macroeconomic variable that has proven to be a major driver of environmental pollution in the region is industrialization. However, despite the numerous explorations on the connection between industrialization and environmental degradation, limited studies have examined the linkage amidst the series in East Africa. This study was, therefore, conducted to help fill that gap. In accomplishing this goal, econometric techniques that control cross-sectional correlations, heterogeneity, and endogeneity, among others, were employed for the analysis. From the results, the panel under consideration was heterogeneous and cross sectionally correlated. In addition, the studied series were first differenced stationary and co-integrated in the long run. The elasticities of the regressors were explored via the cross sectionally augmented autoregressive distributed lag (CS-ARDL) estimator, the cross sectionally augmented distributed lag (CS-DL) estimator, and the augmented mean group (AMG) estimator. According to the results, industrialization led to a reduction in the environmental quality in the region through high CO2 emissions. In addition, financial development, foreign direct investments, urbanization, and energy consumption were not environmentally friendly in the bloc. On the causal linkages amid the series, bidirectional causalities between industrialization and CO2 emissions, energy consumption and CO2 emissions, and foreign direct investments and CO2 emissions were detected. Finally, one-way causal movements from financial development and urbanization to CO2 emissions were unraveled. These findings are useful in helping stimulate the emission mitigation agenda of the region. Based on the findings, the study recommended, among others, that national policies that can promote energy conservation at the industrial level and can convert the industrial structure of the region to a low carbon-intensive one should be formulated.

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Section: Discussion Of the Resultsmentioning

confidence: 78%

Does industrialization promote the emission mitigation agenda of East Africa? a pathway toward environmental sustainability

Yu,

Zhao,

Musah

et al. 2024

Front. Environ. Sci.

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“…Thus, the conceptual framework of Klaus and Kiehl [24] depends on finding "species-rich and well-functioning urban ecosystems". Arguably, such urban design should also include incorporation of elements that reduce climate change, such as increased reliance on renewable energy as African cities develop [96] as well as greater attention to biological constituents. Whenever possible, we advocate the use of genetic stock from known local settings, perhaps helping offset losses in nearby sites.…”

Section: Improving the Biodiversity And Other Contributions Of Citiesmentioning

confidence: 99%

Opportunities for Biodiversity Conservation via Urban Ecosystem Regeneration

Perry,

Cox

2024

Diversity

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Conservation traditionally focuses on at-risk species and relatively intact ecosystems. As the human population and our global impact have risen, many more species and ecosystems are at risk and fewer intact ecosystems remain, with urbanization being a major contributing factor. Cities and their inhabitants are here to stay, and the prevalence of urbanization, often in the vicinity of areas of high conservation value, requires reconsideration of the conservation value of urban ecosystems and urban green spaces. Our aim is to explore the practical aspects of such actions. Urban ecosystem regeneration will require the incorporation of strategies for urban ecosystem regeneration into an overall conservation policy. The novel paradigm of urban ecosystem regeneration, advocated here, maximizes the capacity of urban spaces to support biodiversity while reducing undesirable outcomes and enhancing human wellbeing. The potential for cities to exacerbate biological invasion, climate change, and other ecosystem-degrading factors requires particular attention in devising a strategy for conservation in urban spaces, made essential by the predicted further spread of cities across the globe.

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“…In contrast, the STIRPAT model enhances the IPAT framework by allowing for the inclusion of a broader range of indices in the analysis of influence factors, thereby offering a more flexible and comprehensive approach. This model has become a prevalent method in contemporary environmental research [31][32][33][34]. The basic formulation of the STIRPAT model is as follows:…”

Section: The Stirpat Modelmentioning

confidence: 99%

Analysis of Factors Influencing the Spatial and Temporal Variability of Carbon Intensity in Western China

Yang,

Wang,

2024

Sustainability

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Understanding the spatio-temporal differentiation of carbon intensity factors is crucial for setting scientific and reasonable carbon emission reduction targets. This study, based on relevant data from the western regions for the years 2010–2019, analyzes the influencing factors of the spatio-temporal distribution differences in carbon intensity in these areas. Additionally, the Grey Forecasting Model was utilized to predict the development trend of average carbon intensity in the western regions. The results indicate the following: (1) The temporal dimension of carbon intensity in the western regions shows an overall declining trend with local rebounds, while the high-value areas of spatial carbon intensity are concentrated in the northern part of the study area. (2) Per capita Gross Domestic Product, energy consumption per unit of Gross Domestic Product and investment in industrial pollution control have a positive impact on carbon intensity, whereas investment in the energy industry and per capita disposable income of residents have a negative impact. (3) Energy consumption per unit of Gross Domestic Product is the factor with the highest degree of explanation in univariate analysis; interaction detection results suggest that the core factors of spatial distribution differences in carbon intensity are energy consumption and urban development. (4) Predictions using the Grey Forecasting Model for the development of carbon intensity in the western regions show a year-by-year decline, consistent with carbon intensity control targets. Based on these conclusions, this paper proposes policy recommendations focusing on improving regional economic coordination mechanisms, increasing investment in industrial pollution control, managing energy industry expenditures, adjusting the proportion of the urban population, and enhancing the per capita disposable income of residents.

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Heterogeneous effects of urbanization and environment Kuznets curve hypothesis in Africa

Cited by 7 publications

References 64 publications

Does industrialization promote the emission mitigation agenda of East Africa? a pathway toward environmental sustainability

Does industrialization promote the emission mitigation agenda of East Africa? a pathway toward environmental sustainability

Opportunities for Biodiversity Conservation via Urban Ecosystem Regeneration

Analysis of Factors Influencing the Spatial and Temporal Variability of Carbon Intensity in Western China

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