Journal ArticleDOI
Impact of energy efficiency on CO2 Emissions: Empirical evidence from developing countries
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TLDR
In this article , the impact of energy efficiency on CO 2 emissions was analyzed for 30 developing countries over 1990-2016, and the second-generation methods were applied to derive the results.About:
This article is published in Gondwana Research.The article was published on 2022-06-01. It has received 40 citations till now. The article focuses on the topics: Kuznets curve & Energy intensity.read more
Citations
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The impact of economic complexity, technology advancements, and nuclear energy consumption on the ecological footprint of the USA: Towards circular economy initiatives
TL;DR: In this paper , the authors used Dynamic Autoregressive Distributive Lag (DARDL) and Kernel-based Regularized Least Squares (KRLS) to analyze United States data from 1985 to 2016 empirically.
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Decarbonization pathways: the roles of foreign direct investments, governance, democracy, economic growth, and renewable energy transition
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Do technology and renewable energy contribute to energy efficiency and carbon neutrality? Evidence from top ten manufacturing countries
Atif Jahanger,Ilhan Ozturk,Joshua Chukwuma Onwe,Tonuchi Emmanuel Joseph,Mohammad Razib Hossain +4 more
TL;DR: In this article , the authors examined how technology and renewable energy contribute to energy efficiency within the crossroad of carbon neutrality in the top ten manufacturing countries and found that the role of technology remains positive and significant in greenhouse gas emissions reduction.
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Natural resources, consumer prices and financial development in China: Measures to control carbon emissions and ecological footprints
Muzzammil Hussain,Yiwen Wang +1 more
TL;DR: Wang et al. as mentioned in this paper examined CO 2 emissions and ecological footprint (EFP) to compare the role of natural resource rents (NRR), consumer prices (CP), financial development (FD), and population density (PD).
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Can Energy Efficiency Help in Achieving Carbon-Neutrality Pledges? A Developing Country Perspective Using Dynamic ARDL Simulations
Md. Emran Hossain,Soumen Rej,Sourav Mohan Saha,Joshua Chukwuma Onwe,Nnamdi Nwulu,Festus Victor Bekun,Amjad Taha +6 more
TL;DR: In this article , the authors employed dynamic auto-regressive distribution lag (DARDL) simulations and Fourier Toda and Yamamoto causality techniques to study the relationship between CO2 emissions and energy efficiency in India.
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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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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Unit root tests in panel data: asymptotic and finite-sample properties
TL;DR: In this article, the authors consider pooling cross-section time series data for testing the unit root hypothesis, and they show that the power of the panel-based unit root test is dramatically higher, compared to performing a separate unit-root test for each individual time series.
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A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test
G. S. Maddala,Shaowen Wu +1 more
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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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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