Journal ArticleDOI
Dynamics between economic growth, labor, capital and natural resource abundance in Iran: An application of the combined cointegration approach
TLDR
In this paper, the authors discuss the missing case of Iran and test the resource curse hypothesis using the updated time-series data over the extended period of 1965-2011, and find that the exploitation of natural resources negatively affects the competitiveness of other sectors and limits their ability to contribute to economic growth.About:
This article is published in Resources Policy.The article was published on 2016-09-01. It has received 133 citations till now. The article focuses on the topics: Resource curse & Exploitation of natural resources.read more
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Toward a sustainable environment: Nexus between CO2 emissions, resource rent, renewable and nonrenewable energy in 16-EU countries
TL;DR: It is affirmed that nonrenewable energy consumption and economic growth increase carbon emission flaring while renewable energy consumption declines CO2 emissions, and effective policy implications could be drawn toward modern and environmentally friendly energy sources, especially in attaining the Sustainable Development Goals.
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How economic growth, renewable electricity and natural resources contribute to CO2 emissions?
TL;DR: This article explored the relationship between economic growth and CO2 emissions in the so-called European Union 5 (EU-5) countries (Germany, France, Italy, Spain, and the United Kingdom) for the 1985-2016 period.
Journal ArticleDOI
Resource abundance, industrial structure, and regional carbon emissions efficiency in China
TL;DR: In this article, the authors employ a Slacks-Based Measure with Windows (SBMW) approach to estimate the carbon emissions efficiency and abatement potential of China's provinces over the period of 2003-2016.
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The impact of natural resource depletion on energy use and CO2 emission in Belt & Road Initiative countries: A cross-country analysis
TL;DR: In this article, the authors employed STIRPAT (stochastic impact of regression on population, affluence, and technology) model to investigate the impact of natural resource depletion on energy use and carbon dioxide emissions for a panel of 56 BRI countries over 1990-2014.
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Is Natural Resource Abundance a Stimulus for Financial Development in the USA
TL;DR: In this article, the authors investigated the stimulating role of natural resource abundance in financial development for the case of the USA over the period of 1960-2016 and found that education, economic growth and capitalization are additional determinants of financial development in finance demand function.
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.
Estimation and hypothesis testing of cointegration vectors in Gaussian vector autoregressive models / Søren Johansen
TL;DR: In this paper, the authors present the likelihood methods for the analysis of cointegration in VAR models with Gaussian errors, seasonal dummies, and constant terms, and show that the asymptotic distribution of the maximum likelihood estimator is mixed Gausssian.
Journal ArticleDOI
Estimation and hypothesis testing of cointegration vectors in gaussian vector autoregressive models
TL;DR: In this article, the authors derived the likelihood analysis of vector autoregressive models allowing for cointegration and showed that the asymptotic distribution of the maximum likelihood estimator of the cointegrating relations can be found by reduced rank regression and derives the likelihood ratio test of structural hypotheses about these relations.
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Lag length selection and the construction of unit root tests with good size and power
Serena Ng,Pierre Perron +1 more
TL;DR: In this paper, a modified information criterion (MIC) with a penalty factor that is sample dependent was proposed to select appropriate truncation lag values for unit root tests with a moving-average root close to -1.