Urbanization and CO2 emissions: A semi-parametric panel data analysis

By Huiming Zhu, Wanhai You, Zhao-fa Zeng. 2012

174 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/284e7518ebbe2e493893e48446f9ebc7954b4ea2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Boqiang Lin
2. Bingjie Xu
3. Yang Zhou
4. Yan-sui Liu
5. Umer Shahzad
6. Keming Yu
7. Huiming Zhu
8. Yue‐Jun Zhang

In Environmental Engineering

1. Boqiang Lin
2. Yan-sui Liu
3. Bingjie Xu
4. Yang Zhou
5. Umer Shahzad
6. Lianbiao Cui
7. T. Fatima
8. Keming Yu

Citations in the corpus

• The direct and indirect effect of urbanization on energy intensity: A province-level study for China (2017, background): “More recently, Zhu et al. (2012)[24], in a study of 20 emerging countries between 1992 and 2008, finds little evidence of an inverted U- 6 shape relationship between urbanization rate and CO2 emissions.”
• The impact of economic growth, industrial structure and urbanization on carbon emission intensity in China (2014, methodology): “Additionally, the environmental pressure equation IPAT (Ehrlich and Holdren 1971) and the STIRPAT model (Dietz and Rosa 1997) are widely used to investigate the relationship between urbanization and carbon emissions (Poumanyvong and Kaneko 2010; Zhu et al. 2012).”
• How industrialization and urbanization process impacts on CO2 emissions in China: Evidence from nonparametric additive regression models (2015, methodology): “However, using the semi-parametric panel data model, Zhu et al. (2012) analyzed the impact of urbanization on CO2 emissions in 20 emerging countries over the period 1992–2008 and found that a nonlinear relationship exists between urbanization and CO2 emissions rather than an inverted-U pattern.”
• The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: Evidence from panel quantile regression (2016, background): “…studies have investigated the relationship between economic growth and environmental pollution under the heading of the environmental Kuznets curve (EKC) hypothesis; these studies include those by Suri and Chapman (1998), Dinda and Coondoo (2006), Managi and Jena (2008), and Zhu et al. (2012).”
• Renewable and nonrenewable energy consumption, trade and CO2 emissions in high emitter countries: does the income level matter? (2020, methodology): “More precisely, the GMM method is more appropriate than OLS, as it produces more efficient and reliable estimates (Zhu, You, and Zeng 2012).”
• Modeling the causal linkages between transport, economic growth and environmental degradation for 75 countries (2017, background): “…of the relationship between economic growth and environmental degradation under the heading of the environmental Kuznets curve (EKC) hypothesis (Chandran and Tang, 2013; Borhan et al., 2012; Zhu et al., 2012; Omri et al., 2014; Shahbaz et al., 2015b; Magazzino, 2014; Dogan and Turkekul, 2016).”
• Democracy, Financial Openness, and Global Carbon Dioxide Emissions: Heterogeneity Across Existing Emission Levels (2015, methodology): “More specifically, researchers have usually investigated the determinants of pollution under the STIRPAT (Stochastic Impacts by Regression on Population, Affluence, and Technology) framework (Poumanyvong and Kaneko, 2010; Zhu et al., 2012).”
• Assessing the impact of population, income and technology on energy consumption and industrial pollutant emissions in China (2015, background): “[33] also concluded that an inverted U-shaped relationship between urbanisation and CO2 emissions in 20 emerging countries was not supported.”