How does urbanization affect GHG emissions? A cross-country panel threshold data analysis

Du, Wenyi; Xia, X.H.

doi:10.1016/j.apenergy.2018.08.050

Cited by 77 publications

(30 citation statements)

References 35 publications

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“…For these reasons, scholars are now using more novel methods such as nonparametric regressions and the Non-linear Autoregressive Distributed Lag (NARDL) in non-linear studies [84]. Particularly, the threshold regression is being employed by CO 2 -related studies [16,85,86].…”

Section: Robustness Checksmentioning

confidence: 99%

Environmental Kuznets Curve and the Pollution-Halo/Haven Hypotheses: An Investigation in Brazilian Municipalities

et al. 2021

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There is much discussion on the non-linear relationship between economic growth and carbon dioxide (CO2) emissions. Additionally, the effects of Foreign Direct Investment (FDI) on the environment are ambiguous, as both beneficial (i.e., pollution-halo) and harmful (i.e., pollution-haven) effects were found. Therefore, the literature presents no consensus on either of these topics. This is especially problematic for developing regions, as these regions represent growing economies interested in receiving foreign investments, and their CO2-related research is limited. This study aims to understand the impacts of economic growth and FDI on the CO2 emissions of São Paulo state, Brazil. To perform this study, a unique dataset on regional FDI was built, and 592 municipalities were included. The analyses combine linear and non-linear estimations, and the results suggest a non-linear relationship between Gross Domestic Product (GDP) per capita and CO2 emissions, along with a negative association between FDI and CO2. Finally, this study discusses possible policy implications and contributes to the international literature.

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Section: Robustness Checksmentioning

confidence: 99%

Environmental Kuznets Curve and the Pollution-Halo/Haven Hypotheses: An Investigation in Brazilian Municipalities

et al. 2021

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“…The findings of Zi et al (2016a) indicated that urbanization increases emissions at a greater rate after reaching a threshold level of approximately 43%. However, the threshold effect of urbanization also varies across different countries because of different urbanization paths (Du and Xia 2018). Their results document a positive effect of urbanization on GHG emissions, and a higher level of urban agglomerations (i.e.…”

Section: Literature Reviewmentioning

confidence: 99%

“…There is no unanimous agreement on the exact nature of nexus between urban dynamics and environmental degradation. Moreover, the complexity of this relationship is highly contingent upon the factors such as level of industrial growth, rate of urbanization, use of energyefficient technologies, regional variations, sample characteristics, varied urban features and attributes and econometric techniques (Ahmed et al 2019;Du and Xia 2018). Gren et al (2019) propose that future research needs to apply more advanced spatial analysis and non-linear econometric techniques because the existing literature provides highly contradictory results.…”

Section: Introductionmentioning

confidence: 99%

Asymmetric nexus between urban agglomerations and environmental pollution in top ten urban agglomerated countries using quantile methods

Xia

Fan

Fareed

et al. 2020

Environ Sci Pollut Res

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The rapid urbanization growth has not only improved the living standards of people but also raised concerns for environmental sustainability over the globe. In this regard, the issue of excessive urban concentration or overagglomeration in metropolitan areas is nowadays the prime concern for urban planning and building energyefficient and eco-friendly infrastructures. In response to rising interest in the dynamic linkage between urban concentration and environment, the current research empirically examines the crucial nexus between urban agglomerations and environmental degradation in top ten urban agglomerated countries in the world from 1960Q1 to 2014Q4. The current research is the pioneer empirical work in the area of urbanization by applying recently developed and innovative methods of quantile-on-quantile (QQ) approach and quantile Granger causality in relatively less explored area of urban agglomeration at the cross-country level. Our mainstream findings indicate that urban agglomeration has a strong positive effect on CO 2 emissions in most of our sample countries, and this effect is more pronounced in higher quantiles of respective variables. These results imply that excessive levels of urban concentration in big cities cause environmental degradation, which could be attributed to extreme population density, overcrowding, traffic congestion and extensive demand for energy consumption. However, some countries such as Israel, Paraguay and Columbia exhibit overall declining and negative trends about the relationship between urban agglomerations and CO 2 emissions. Moreover, quantile Granger causality results confirm the previous findings of QQ regression and verify the existence of bidirectional causal nexus between urban agglomerations and CO 2 emissions in the majority of the lower, middle and upper quantiles in our selected top ten countries except for Kuwait. However, the unidirectional causal relationship also exists for several countries for extreme lower, middle and extremely higher quantiles. Our findings extend the previous work on agglomeration-environment nexus by determining the asymmetric magnitude of linkage between these two variables demanding cautious and individual-focused policies for urban planning and environmental sustainability.

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“…Urbanization is one of the most important trends globally and improving the sustainability of urban energy systems (UES) is a central element in the fight against global warming. As the share of people living in urban areas grows both regionally and globally, an increasing amount of energy is required to fulfill energy demands, particularly for buildings [1]. As of 2017, the urban buildings and construction sector accounted for 36% of final energy use and 39% of energy related emissions [2].…”

Section: Introductionmentioning

confidence: 99%

Quantifying the contribution of individual technologies in integrated urban energy systems – A system value approach

et al. 2020

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Integrated urban energy systems satisfy energy demands in a cost-effective manner by efficiently combining diverse technologies and energy saving strategies. However, the contribution of an individual technology within a complex system is difficult to quantify. This study introduces a generalized "system value" approach to quantify the contribution of an individual design decision towards improving the system design (e.g., achieving a lower cost design). It measures the contribution of an individual technology to the whole system in the range between two benchmarks that respectively represent complete exclusion of the technology and the optimal penetration level. The method is based on a technology-rich Mixed Integer Linear Programming (MILP) model for optimal design of urban energy systems. The model considers multi-energy supply technologies, networks, storage technologies and various energy saving strategies. A stochastic formulation is further developed to quantify uncertainties of the system value. The system values of nine kinds of energy supply technologies and three categories of energy-saving strategies are quantified via a case study, which illustrates the variation in the system values for individual technologies with different levels of penetration, and multi-energy supply technologies can have a large impact in integrated systems.

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How does urbanization affect GHG emissions? A cross-country panel threshold data analysis

Cited by 77 publications

References 35 publications

Environmental Kuznets Curve and the Pollution-Halo/Haven Hypotheses: An Investigation in Brazilian Municipalities

Environmental Kuznets Curve and the Pollution-Halo/Haven Hypotheses: An Investigation in Brazilian Municipalities

Asymmetric nexus between urban agglomerations and environmental pollution in top ten urban agglomerated countries using quantile methods

Quantifying the contribution of individual technologies in integrated urban energy systems – A system value approach

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