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Official development assistance and carbon emissions of recipient countries: A dynamic panel threshold analysis for low- and lower-middle-income countries

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TLDR
In this paper , a dynamic panel threshold regression model is employed to explore the effects of official development assistance (ODA) and carbon emissions in 59 low-income and lower-middle-income countries.
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This article is published in Sustainable Production and Consumption.The article was published on 2022-01-01. It has received 56 citations till now. The article focuses on the topics: Urbanization & Greenhouse gas.

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The impact of energy efficiency on carbon emissions: Evidence from the transportation sector in Chinese 30 provinces

TL;DR: Wang et al. as mentioned in this paper investigated carbon emissions caused by the transport sectors of 30 Chinese provinces from 2005 to 2019, and combined the decoupling index with a panel threshold analysis, showing that the inhibitory effect of energy efficiency on carbon emissions in the transportation industry is increasing as energy efficiency improves.
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Trade protectionism jeopardizes carbon neutrality – Decoupling and breakpoints roles of trade openness

TL;DR: In this paper , a combination of Tapio decoupling model and structural threshold model is developed to study and quantify the impact of trade on carbon emissions, and the results show that trade openness favors carbon neutrality in rich countries, but not in poor countries.
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Does renewable energy reduce ecological footprint at the expense of economic growth? An empirical analysis of 120 countries

TL;DR: In this paper , a threshold panel regression model is developed using the data of 120 countries in the last 20 years, where renewable energy and non-renewable energy are explanatory variables, economic growth and ecological footprint are explained variables, and urbanization is threshold variable.
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Effects of environmental regulation on CO2 emissions: An empirical analysis of 282 cities in China

TL;DR: Wang et al. as discussed by the authors used the system-generalised method of moments (GMM) and dynamic panel model to analyze the direct and indirect effects of environmental regulation on CO 2 emissions, and subdivided the research sample to analyse the impact of urban heterogeneity on the emission-reduction effect.
Journal ArticleDOI

Effects of environmental regulation on CO2 emissions: An empirical analysis of 282 cities in China

TL;DR: Wang et al. as discussed by the authors used the system-generalised method of moments (GMM) and dynamic panel model to analyze the direct and indirect effects of environmental regulation on CO2 emissions, and subdivided the research sample to analyse the impact of urban heterogeneity on the emission-reduction effect.
References
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Another look at the instrumental variable estimation of error-components models

TL;DR: In this paper, a framework for efficient IV estimators of random effects models with information in levels which can accommodate predetermined variables is presented. But the authors do not consider models with predetermined variables that have constant correlation with the effects.
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Testing for unit roots in heterogeneous panels

TL;DR: In this article, a unit root test for dynamic heterogeneous panels based on the mean of individual unit root statistics is proposed, which converges in probability to a standard normal variate sequentially with T (the time series dimension) →∞, followed by N (the cross sectional dimension)→∞.
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A simple panel unit root test in the presence of cross-section dependence

TL;DR: In this paper, a simple alternative where the standard ADF regressions are augmented with the cross section averages of lagged levels and first-differences of the individual series is proposed, and it is shown that the individual CADF statistics are asymptotically similar and do not depend on the factor loadings.
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How to do xtabond2: An introduction to difference and system GMM in Stata

TL;DR: This paper introduced linear generalized method of moments (GMM) estimators for situations with small T, large N panels, with independent variables that are not strictly exogenous, meaning correlated with past and possibly current realizations of the error; with fixed effects; and with heteroskedasticity and autocorrelation within individuals.
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Threshold effects in non-dynamic panels: Estimation, testing, and inference

TL;DR: In this article, a non-standard asymptotic theory of inference is developed which allows construction of confidence intervals and testing of hypotheses, and the methods are applied to a 15-year sample of 565 US firms to test whether financial constraints affect investment decisions.
Related Papers (5)
Trending Questions (1)
How has ODA affected carbon emissions in developing countries?

The paper states that a 1% increase in ODA leads to a 0.2259% increase in carbon emissions when urbanization is below the threshold value, and a 0.2281% increase when urbanization exceeds the threshold value.