The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Impacts of urbanization on carbon emissions: An empirical analysis from OECD countries
Abstract
Abstract The impacts of urbanization on carbon emissions have attracted widespread attention for a long time. Quantitative research on the impacts is of great significance for formulating carbon reduction policy. Based on the dynamic panel autoregressive distribution lag (ARDL) model, we systematically study the general and heterogeneous long-run equilibrium relationships, short-run dynamic relationships, impact mechanism and lag effect between urbanization and three carbon emission dimensions in OECD high-income countries during long period. The main empirical results indicate that developed countries tend to have the same negative impacts of urbanization on carbon emissions, although there are differences in the endowments of different countries. The impact is relatively weak, for each percentage point increase in urbanization rate, CO2 emissions per capita decrease by 0.015%, total CO2 emissions decrease by 0.012%, and CO2 emission intensity decrease by 0.009%. All member countries have achieved the decoupling of urbanization and carbon emissions. Urbanization affects carbon emissions by affecting economic growth, energy efficiency, and final energy consumption structure. This paper further reveals the multi-level impacts of urbanization on carbon emissions and provides policy implications of achieving carbon reduction through urbanization's agglomeration effect for government decision makers.
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Cites
Co-integration and error correction: representation, estimation and testing
Engle, R. F., & Granger, C. W. J. (1987) · Econometrica · doi:10.2307/1913236 · Cited by 32,007
Bounds testing approaches to the analysis of level relationships
Pesaran, M. H., Shin, Y., & Smith, R. J. (2001) · Journal of Applied Econometrics · doi:10.1002/jae.616 · Cited by 20,385
Estimating long-run relationships from dynamic heterogeneous panels
Pesaran, M. H., & Smith, R. (1995) · Journal of Econometrics · doi:10.1016/0304-4076(94)01644-f · Cited by 5,479
(2014) · doi:10.59327/ipcc/ar5-9789291691432 · Cited by 5,217
Does urbanization lead to less energy use and lower CO2 emissions? A cross-country analysis
Poumanyvong, P., & Kaneko, S. (2010) · Ecological Economics · doi:10.1016/j.ecolecon.2010.09.029 · Cited by 1,260
Shafiei, S., & Salim, R. A. (2014) · Energy Policy · doi:10.1016/j.enpol.2013.10.064 · Cited by 1,127
Dogan, E., & Turkekul, B. (2016) · Environmental Science and Pollution Research · doi:10.1007/s11356-015-5323-8 · Cited by 1,093
The impact of urbanization on CO2 emissions: Evidence from developing countries
Martínez-Zarzoso, I., & Maruotti, A. (2011) · Ecological Economics · doi:10.1016/j.ecolecon.2011.02.009 · Cited by 1,017
Li, K., & Lin, B. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.07.185 · Cited by 833
Determinants of carbon dioxide emissions: Empirical evidence from 69 countries
Sharma, S. S. (2011) · Applied Energy · doi:10.1016/j.apenergy.2010.07.022 · Cited by 824
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Zhong, J., Zhong, Y., Han, M., Yang, T., & Zhang, Q. (2024) · Applied Economics · doi:10.1080/00036846.2023.2203461 · Cited by 105
Wang, J., Jiang, Q., Dong, X., & Dong, K. (2021) · Applied Energy · doi:10.1016/j.apenergy.2021.117618 · Cited by 96
Metadata
- Authors
- Wang, W.-Z., Liu, L.-C., Liao, H., & Wei, Y.-M.
- Venue
- Energy Policy
- Publisher
- Elsevier BV
- Published
- 2021-04
- Volume
- 151
- Pages
- 112171
- ISSN
- 0301-4215 (ISSN-L)
- OpenAlex
- W3130532833
- Cited by
- 465
- References
- 35
- FWCI
- 53.39
- Type
- journal article
- Language
- en
- Open access
- closed
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