Does urbanization lead to less energy use and lower CO2 emissions? A cross-country analysis

By Phetkeo Poumanyvong, S. Kaneko. 2010

1,241 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/2b7e55064fe6daae9a8684d5e2f29d14d255d4e7

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Citations in the corpus

Trade openness, urbanization and CO2 emissions: Dynamic panel data analysis of middle-income countries (2018, background): “Many theoretical perspectives are used to explain the urbanization–environment nexus, and the three most popular are the ecological modernization, urban environmental transition and compact city theories (Poumanyvong and Kaneko 2010).”
GHG Emissions and the Rural-Urban Divide. A Carbon Footprint Analysis Based on the German Official Income and Expenditure Survey (2018, background): “And what about counterbalancing effects such as higher incomes which usually come along with urbanization (Poumanyvong and Kaneko, 2010)?”
Non-renewable and renewable energy consumption and CO2 emissions in OECD countries: A comparative analysis (2014, background): “Neumayer (2004) for 86 countries and of Poumanyvong and Kaneko (2010) for lowto high- income countries.”
Impacts of urbanization on national transport and road energy use : Evidence from low, middle and high income countries (2012, methodology): “…emissions and used the share of industry and services in GDP to express T, while York (2007) studied national energy use, and used urbanization to represent T. Economic structure and urbanization were used to express T in an analysis of energy use and emissions (Poumanyvong and Kaneko, 2010).”
What are the carbon emissions elasticities for income and population? Bridging STIRPAT and EKC via robust heterogeneous panel estimates (2015, background): “…Heterogeneity and nonlinearities Heterogeneity, when considered, is typically addressed by splitting the panel along income lines (e.g., Poumanyvong and Kaneko 2010); indeed, nearly all STIRPAT studies have employed pooled estimators that otherwise assume the population-environment (or…”
The impact of economic growth, industrial structure and urbanization on carbon emission intensity in China (2014, methodology): “For instance, Poumanyvong and Kaneko (2010) employ the STIRPAT model to analyze the panel data of 99 countries over the period 2 http://news.xinhuanet.com/2013-07/10/c_116470279.htm. carbon emissions is influenced by the economic conditions and the affluence level.”
How urbanization affects CO2 emissions in Malaysia? The application of STIRPAT model (2016, neutral): “If the population elasticity of energy consumption varies in sample countries then the assumptions of EKC are also violated (Poumanyvong and Kaneko, 2010).”
Does population have a larger impact on carbon dioxide emissions than income? Evidence from a cross-regional panel analysis in China (2016, methodology): “To address those issues, the FD estimation is employed, which can address properly the important econometric concerns including cross-sectional dependence, heteroskedasticity and nonstationarity, which has been widely used to assess the impact of human activity on the environment [8,10,12,16,18].”