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The integrated impact of GDP growth, industrialization, energy use, and urbanization on CO2 emissions in developing countries: Evidence from the panel ARDL approach.

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TLDR
In this paper , the authors analyzed the combined effects of energy usage, industrialization, gross domestic product (GDP) growth, and urbanization on CO2 emissions for 23 developing countries across the 1995 to 2018 period.
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This article is published in Science of The Total Environment.The article was published on 2022-05-01. It has received 58 citations till now. The article focuses on the topics: Medicine & Industrialisation.

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Recent scenario and nexus between natural resource dependence, energy use and pollution cycles in BRICS region: Does the mediating role of human capital exist?

TL;DR: In this article , the authors used a panel quantile regression to determine whether natural resource rent (NRR), energy use, and human capital (HC) matter in restoring environmental quality in BRICS economies from 1990 to 2018.
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Does China's low-carbon city pilot intervention limit electricity consumption? An analysis of industrial energy efficiency using time-varying DID model

TL;DR: In this paper , a time-varying difference-in-difference (DID) model was constructed to assess whether the LCCP intervention supports enterprises in reducing their electric energy consumption intensity (EECI) by upgrading their energy conservation attitude and improving power efficiency.
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Why do government policy and environmental awareness matter in predicting NEVs purchase intention? Moderating role of education level

TL;DR: Zhang et al. as mentioned in this paper examined Chinese consumers' environmental awareness and attitude toward new energy vehicle (NEV) policy, and its impact on their attitude toward NEV using the theories of planned behavior and social exchange.
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Different types of industrial agglomeration and green total factor productivity in China: do institutional and policy characteristics of cities make a difference?

TL;DR: Wang et al. as mentioned in this paper applied panel data of 281 prefecture-level cities in China from 2004 to 2017 to calculate the green total factor productivity (GTFP) at the city level and examined the influences of various forms of industrial agglomeration on GTFP and its two decomposition factors.
References
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Journal ArticleDOI

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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Investigating Causal Relations by Econometric Models and Cross-Spectral Methods

TL;DR: In this article, the cross spectrum between two variables can be decomposed into two parts, each relating to a single causal arm of a feedback situation, and measures of causal lag and causal strength can then be constructed.
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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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A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test

TL;DR: The Im-Pesaran-Shin (IPS) test as discussed by the authors relaxes the restrictive assumption of the LL test and is best viewed as a test for summarizing the evidence from independent tests of the sample hypothesis.
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