Journal ArticleDOI
Short- and long-run influence of energy utilization and economic growth on carbon discharge in emerging SREB economies
Zhendong Yang,Qaiser Abbas,Imran Hanif,Majed Alharthi,Farhad Taghizadeh-Hesary,Babar Aziz,Muhammad Mohsin +6 more
TLDR
In this article, the impact of renewable and non-renewable energy, capital formation, and economic growth on CO2 emissions in the economies that are emerging due to China's Silk Road Economic Belt (SREB) initiative was analyzed through the autoregressive distributed Lag (ARDL) approach.About:
This article is published in Renewable Energy.The article was published on 2021-03-01. It has received 107 citations till now. The article focuses on the topics: SREB & Energy source.read more
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The Energy Consumption and Economic Growth Nexus in Top Ten Energy-Consuming Countries: Fresh Evidence from Using the Quantile-on-Quantile Approach
TL;DR: In this paper, the authors empirically examined the interlinkages between energy consumption and economic growth in top ten energy-consuming countries i.e. China, the USA, Russia, India, Japan, Canada, Germany, Brazil, France and South Korea.
Journal ArticleDOI
Co-movement of energy prices and stock market return: environmental wavelet nexus of COVID-19 pandemic from the USA, Europe, and China.
Fengsheng Chien,Muhammad Sadiq,Hafiz Waqas Kamran,Muhammad Atif Nawaz,Muhammed Sajjad Hussain,Muhammad Asif Raza +5 more
TL;DR: In this paper, the authors studied the time-frequency relationship between the recent COVID-19 pandemic and instabilities in oil price and the stock market, geopolitical risks, and uncertainty in the economic policy in the USA, Europe, and China.
Journal ArticleDOI
How external debt led to economic growth in South Asia: A policy perspective analysis from quantile regression
TL;DR: In this article, the authors analyzed the relationship between external debt and economic growth in the South Asian region and showed that gross capital formation and trade openness have a positive effect on economic growth.
Journal ArticleDOI
Testing green fiscal policies for green investment, innovation and green productivity amid the COVID-19 era
TL;DR: In this paper, the effect of government subsidies and tax rebate policies on renewable energy firms' investment efficiency using China's renewable energy firm-level panel data was explored using Banker, Charnes and Cooper's data envelopment analysis (DEA) approach.
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Evaluating energy poverty and its effects using multi-dimensional based DEA-like mathematical composite indicator approach: Findings from Asia
TL;DR: In this paper , the impacts of multidimensional energy poverty indicators using mathematical composite index and, econometric models for five Asian countries were examined, and the impact of these indicators on access to energy in South Asian region was analyzed.
References
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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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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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General Diagnostic Tests for Cross Section Dependence in Panels
TL;DR: In this paper, the authors proposed simple tests of error cross section dependence which are applicable to a variety of panel data models, including stationary and unit root dynamic heterogeneous panels with short T and large N.