Sectoral CO2 emissions in China: asymmetric and time-varying analysis
Author:
Affiliation:
1. Asian Demographic Research Institute, Shanghai University, Shanghai, P.R. China
2. Othman Yeop Abdullah Graduate School of Business, Universiti Utara Malaysia
3. Department of Management Sciences, The Superior College, Lahore, Pakistan
Funder
National Social Science Fund of China
Publisher
Informa UK Limited
Subject
Management, Monitoring, Policy and Law,Fluid Flow and Transfer Processes,General Environmental Science,Water Science and Technology,Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/09640568.2020.1776691
Reference90 articles.
1. AhAtil, A., F. B. Bouheni, A. Lahiani, and M. Shahbaz. 2019. “Factors Influencing CO2 Emission in China: A Nonlinear Autoregressive Distributed Lags Investigation.” MPRA. https://mpra.ub.uni-muenchen.de/id/eprint/91190.
2. Does financial development asymmetrically affect CO2 emissions in China? An application of the nonlinear autoregressive distributed lag (NARDL) model
3. Effects of energy production and CO 2 emissions on economic growth in Iran: ARDL approach
4. The investigation of environmental Kuznets curve hypothesis in the advanced economies: The role of energy prices
5. Study of the environmental Kuznets curve for transport carbon dioxide emissions in Saudi Arabia
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