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Impact of urbanization on CO2 emissions in emerging economy: Evidence from Pakistan

TLDR
In this paper, the authors explored the impact of urbanization on carbon dioxide emissions in Pakistan and found that there was cointegation among the variables and that urbanization was found enhancing carbon emissions both in the long run and short run.
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This article is published in Sustainable Cities and Society.The article was published on 2019-07-01. It has received 255 citations till now. The article focuses on the topics: Short run & Urbanization.

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Moving towards a sustainable environment: The dynamic linkage between natural resources, human capital, urbanization, economic growth, and ecological footprint in China

TL;DR: Zhang et al. as discussed by the authors investigated the effect of natural resources abundance, human capital, and urbanization on the ecological footprint in China, controlling economic growth and found that urbanization and economic growth contribute to environmental degradation, whereas human capital mitigates environmental deterioration.
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Linking urbanization, human capital, and the ecological footprint in G7 countries: An empirical analysis

TL;DR: In this article, the authors examined the effect of urbanization and human capital on the ecological footprint in G7 countries using advanced panel data estimators, such as CUP-FM and CUPBC on data from 1971 to 2014.
Posted Content

Economic growth, electricity consumption, urbanization and environmental degradation relationship in United Arab Emirates

TL;DR: In this paper, the authors explored the relationship between economic growth, electricity consumption, urbanization and environmental degradation in case of United Arab Emirates (UAE) over the period of 1975-2011.
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The impact of renewable energy on carbon emissions and economic growth in 15 major renewable energy-consuming countries.

TL;DR: The main purpose of this article is to use both growth and environmental functions to demonstrate the effectiveness of renewable energy in promoting economic growth and mitigating carbon emissions in the case of 15 major renewable energy-consuming countries using both fully modified ordinary least square (FMOLS) and vector error correction model (VECM) estimation techniques.
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Per-capita carbon emissions in 147 countries: The effect of economic, energy, social, and trade structural changes

TL;DR: In this paper, the impact of structural changes on per-capita carbon emissions from the four aspects of energy, trade, society and economy, while considering the effects of economic growth and energy intensity were discussed.
References
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Journal ArticleDOI

Co-integration and Error Correction: Representation, Estimation and Testing

TL;DR: The relationship between co-integration and error correction models, first suggested in Granger (1981), is here extended and used to develop estimation procedures, tests, and empirical examples.
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Distribution of the Estimators for Autoregressive Time Series with a Unit Root

TL;DR: In this article, the limit distributions of the estimator of p and of the regression t test are derived under the assumption that p = ± 1, where p is a fixed constant and t is a sequence of independent normal random variables.
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Testing for a Unit Root in Time Series Regression

TL;DR: In this article, the authors proposed new tests for detecting the presence of a unit root in quite general time series models, which accommodate models with a fitted drift and a time trend so that they may be used to discriminate between unit root nonstationarity and stationarity about a deterministic trend.
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Bounds testing approaches to the analysis of level relationships

TL;DR: In this paper, the authors developed a new approach to the problem of testing the existence of a level relationship between a dependent variable and a set of regressors, when it is not known with certainty whether the underlying regressors are trend- or first-difference stationary.
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Maximum likelihood estimation and inference on cointegration — with applications to the demand for money

TL;DR: In this paper, the estimation and testing of long-run relations in economic modeling are addressed, starting with a vector autoregressive (VAR) model, the hypothesis of cointegration is formulated as a hypothesis of reduced rank of the long run impact matrix.
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