Productivity Analysis in Global Manufacturing Production

By M. Eberhardt, F. Teal. 2010

613 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c72f8934248ff630c4b7d0feb29bdc8e21008f25

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Citations in the corpus

The role of environmental technology for energy demand and energy efficiency: Evidence from OECD countries (2022, methodology): “After the unit root testing, the authors further utilize the Augmented Mean Group (AMG) estimator of Eberhardt and Teal (2010) and Eberhardt and Bond (2009) to explore the role of environmental technology on energy consumption and energy intensity.”
Natural Resources and Economic Development: New Panel Evidence (2015, methodology): “…the average effect of natural resources on income applying heterogeneous panel cointegration techniques recently developed by Pesaran (2006) and Eberhardt and Teal (2010) using annual observation for 40 developing countries over the period 1990–2012.3 These estimators are robust to omitted…”
What are the carbon emissions elasticities for income and population? Bridging STIRPAT and EKC via robust heterogeneous panel estimates (2015, unknown): “The paper considers two econometric estimation methods—the Pesaran (2006) common correlated effects mean group estimator (CMG) and the Eberhardt and Teal (2010) augmented mean group estimator (AMG)— that address important (but often neglected) time-series cross-section (TSCS) issues: nonstationarity”
How strong is the causal relationship between globalization and energy consumption in developed economies? A country-specific time-series and panel analysis (2018, methodology): “are covered by applying the AMG estimator developed by Eberhardt and Teal (2010). As far as the AMG results of Table 4 are concerned, we again note that globalization is positively but significantly linked with”
Do Economic Policy Uncertainty and Geopolitical Risk Lead to Environmental Degradation? Evidence from Emerging Economies (2021, methodology): “Since the FMOLS, DOLS, AMG estimators just report the long-run relationship, and do not explain the causality therefore we employ D-H causality test.”
Renewable Energy Use and Ecological Footprints Mitigation: Evidence from Selected South Asian Economies (2021, methodology): “Although various regression techniques have been used in the EKC literature concerning South Asia, very few studies have employed the AMG estimator to address the data’s issues, as mentioned above.”
Do urbanization and industrialization affect energy intensity in developing countries (2013, methodology): “The Augmented Mean Group (AMG) estimator is an alternative to the Pesaran (2006) CCEMG estimator (Bond and Eberhardt, 2009; Eberhardt and Teal, 2010).”
An Evaluation of the Tourism-Induced Environmental Kuznets Curve (T-EKC) Hypothesis: Evidence from G7 Countries (2020, methodology): “In the methodology section of this study, the authors applied various cross-sectional dependence (CD) and homogeneity tests, the panel bootstrap cointegration approach introduced by Westerlund and Edgerton (2007) [33], and the augmented mean group (AMG) estimator proposed by Eberhardt and Teal (2010”
Income inequality, human capital, natural resource abundance, and ecological footprint in ECOWAS member countries (2021, unknown): “The AMG estimator was proposed by Eberhardt and Teal, 2010), Eberhardt and Bond (2009) and Bond and Eberhardt (2013).”
The relationship between tourism, CO2 emissions and economic growth: a case of Mediterranean countries (2019, methodology): “In this study, we perform our analysis by utilizing the CCEMG approach developed by Pesaran (2006) and the Augmented Mean Group (AMG) estimator proposed by Eberhardt and Teal (2010). CCEMG estimator allows cross-sectional dependence using cross-sectional averages of the dependent variable and indepe”