Does urbanization boost environmental impacts in Colombia? An extended STIRPAT–LCA approach

Vélez-Henao, Johan-Andrés

doi:10.1007/s11135-019-00961-y

Cited by 10 publications

(4 citation statements)

References 46 publications

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“…So, decomposing CO 2 emissions and energy use into impact factors including population, industrialization, GDP per capita, service sector growth and urbanization would provide a concrete empirical grounding to energy and urbanization as well as industrial policies to pave way towards more sustainable futures. Also, this study contributes to existing literature linking urbanization with emissions and energy use per capita by corroborating the findings of a widely used empirical model which has been used in the context of several other nations like China, Colombia, Pakistan and Malaysia (Shahbaz et al, 2017;Shahbaz et al, 2016;Ji and Chen, 2017;Vélez-Henao, 2020).…”

Section: Introductionsupporting

confidence: 77%

Impact of urbanization on per capita energy use and emissions in India

Haldar

Sharma

2021

IJESM

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Purpose The purpose of this study is to investigate the impacts of urbanization on per capita energy consumption and emissions in India. Design/methodology/approach The present study analyses the effects of urbanization on energy consumption patterns by using the Stochastic Impacts by Regression on Population, Affluence and Technology in India. Time series data from the period of 1960 to 2015 has been considered for the analysis. Variables including Population, GDP per capita, Energy intensity, share of industry in GDP, share of Services in GDP, total energy use and urbanization from World Bank data sources have been used for investigating the relationship between urbanization, affluence and energy use. Findings Energy demand is positively related to affluence (economic growth). Further the results of the analysis also suggest that, as urbanization, GDP and population are bound to increase in the future, consequently resulting in increased carbon dioxide emissions caused by increased energy demand and consumption. Thus, reducing the energy intensity is key to energy security and lower carbon dioxide emissions for India. Research limitations/implications The study will have important policy implications for India’s energy sector transition toward non- conventional, clean energy sources in the wake of growing share of its population residing in urban spaces. Originality/value There are limited number of studies considering the impacts of population density on per capita energy use. So this study also contributes methodologically by establishing per capita energy use as a function of population density and technology (i.e. growth rates of industrial and service sector).

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Section: Introductionsupporting

confidence: 77%

Impact of urbanization on per capita energy use and emissions in India

Haldar

Sharma

2021

IJESM

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“…Conversely, FDI has a negative influence on environmental quality. Vélez‐Henao (2020) used the STIRPAT model to scrutinize the dynamic associations between urbanization and environmental quality. The outcomes revealed that urbanization has a major driver of environmental degradation and electricity utilization.…”

Section: Literature Reviewmentioning

confidence: 99%

Autocracy, democracy, globalization, and environmental pollution in developing world: Fresh evidence fromSTIRPATmodel

Jahanger

Usman

Balsalobre‐Lorente

2021

Journal of Public Affairs

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The global economies continue to observe a consistent increase in carbon emissions, making it problematic to achieve the Paris agreement goals on the environmental variations. To notify strategies, and mitigate carbon emissions, it is important to recognize the issues that affect on it. Considring this view, this study explores the impact of autocracy, democracy, and the globalization process on the carbon dioxide (CO 2 ) emissions for 74 developing countries during the period from 1990 to 2016 by using the stochastic impacts by regression on population, affluence, and technology (STIRPAT) model framework. The results based on a robust system generalized method of moments (SYS-GMM) indicate that autocracy, political globalization, economic growth, financial development, energy consumption, and gross fixed capital formation significantly enhance environmental degradation, while democracy, economic, social, and overall globalization significantly reduce it. Additionally, the results are robust to various robustness checks, which confirm the consistency of the findings. This study also offers various useful policy implications to the governments; regulatory authority and policymakers in general, and specifically analyzed developing countries for promoting environmental sustainability.

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“…The STIRPAT equation allows for more driving factors to be included in the definition of environmental impacts, widening the applicability of the model in empirical studies. Following empirical specification in York et al (2003), Yang et al (2018), and Vélez‐Henao (2020), T is defined using the intensity of energy use (EI). The extended STIRPAT equation for this present study takes the form:

I = a_{0} . P^{α_{1}} . A^{α_{2}} . {EI}^{α_{3}} . {NRR}^{α_{4}} . ε

where NRR represents the impact of natural resource rents.…”

Section: Methodsmentioning

confidence: 99%

Toward sustainable use of natural resources: Nexus between resource rents, affluence, energy intensity and carbon emissions in developing and transition economies

Nwani

Bekun

Gyamfi

et al. 2023

Natural Resources Forum

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Sustainable use of natural resources would entail ensuring that derived economic benefits today do not undermine the welfare of generations to come. On this basis, this study examines the nexus between natural resource rents and carbon dioxide (CO2) emissions disaggregated into production and consumption‐based (i.e., trade‐adjusted) CO2 emissions for a selected panel of 45 developing and transition economies over the period 1995–2017. The empirical model also incorporates the impacts of population, affluence, and energy intensity. The results show that affluence increases production‐based CO2 emissions by 1.407%, with the EKC's predicted inverted U‐shaped curve only explaining consumption‐based CO2 emissions. Economic reliance on natural resource rents and energy intensification contribute 0.022% and 0.766%, respectively, to CO2 emissions embedded in territorial production inventories and 0.035% and 0.583%, respectively, to CO2 emissions embedded in consumption inventories. The bootstrap non‐causality test shows that historical data on each variable has significant predictive power for future CO2 emissions from both sources. The historical information about natural resource rents has significant predictive power over the future levels of affluence and energy intensity. Clearly, the results show that the environmental impact of natural resource rents is stronger when CO2 emissions are adjusted for trade and varies among the countries, with Bangladesh, Guinea, India, Malaysia, Mexico, Nigeria, Pakistan, Saudi Arabia, Vietnam, and Zimbabwe among the most affected countries. Overall, this study provides motivation for policies to keep the use of natural resources within sustainable limits.

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Does urbanization boost environmental impacts in Colombia? An extended STIRPAT–LCA approach

Cited by 10 publications

References 46 publications

Impact of urbanization on per capita energy use and emissions in India

Impact of urbanization on per capita energy use and emissions in India

Autocracy, democracy, globalization, and environmental pollution in developing world: Fresh evidence fromSTIRPATmodel

Toward sustainable use of natural resources: Nexus between resource rents, affluence, energy intensity and carbon emissions in developing and transition economies

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