Asymmetric adjustment of the dynamic relationship between energy intensity and urbanization in China

By Yaobin Liu, Yichun Xie. 2013

97 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/3a68d12077b6d77cc5d35f92561e020e49a30a56

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Citations in the corpus

Does urbanization cause increasing energy demand in Pakistan? Empirical evidence from STIRPAT model (2017, background): “Liu and Xie [38] applied the threshold vector error correction model (TVECM) to examine the relationship between urbanization and energy intensity in the case of China.”
An analysis of technological factors and energy intensity in China (2017, background): “Liu and Xie (2013) reveal there is existence of a nonlinear causal relationship between urbanisation and energy intensity for China.”
The Relationship between Urbanization, Economic Growth and Energy Consumption in China: An Econometric Perspective Analysis (2015, background): “Similarly, from the perspective of asymmetric adjustment, Liu and Xie [36] provided evidence that there was a non-linear causal relationship between the energy intensity and urbanization.”
Structural transformation of manufacturing, natural resource dependence, and carbon emissions reduction: Evidence of a threshold effect from China (2019, background): “…tends to gradually transform from labor- to capital-intensive, and then to technology-intensive; energy efficiency has different trends in different stages of industrialization, which means that the "structural emissions reduction" effect is also very different (Sharma, 2011;Liu and Xie, 2013).”
The impact of economic growth, industrial structure and urbanization on carbon emission intensity in China (2014, background): “(3) As urbanization is associated with industrialization and often calls for quantities of raw materials, which may have direct and prominent influence on energy consumption (Liu and Xie 2013).”
The impact of urbanization on energy intensity: Panel data evidence considering cross-sectional dependence and heterogeneity (2017, background): “Liu ve Xie [44] 1978e2010 China Non-linear cointegrating and causality U4EI”