The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
The effect of ICT, financial development, growth, and trade openness on CO2 emissions: an empirical analysis
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Citations
Cites
Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors
Pedroni, P. (1999) · Oxford Bulletin of Economics and Statistics · doi:10.1111/1468-0084.61.s1.14 · Cited by 6,726
Pooled Mean Group Estimation of Dynamic Heterogeneous Panels
Pesaran, M. H., Shin, Y., & Smith, R. P. (1999) · Journal of the American Statistical Association · doi:10.1080/01621459.1999.10474156 · Cited by 6,683
Testing for Granger non-causality in heterogeneous panels
Dumitrescu, E.-I., & Hurlin, C. (2012) · Economic Modelling · doi:10.1016/j.econmod.2012.02.014 · Cited by 5,922
On the estimation and inference of a cointegrated regression in panel data
Kao, C., & Chiang, M.-H. (2004) · Advances in Econometrics · doi:10.1016/s0731-9053(00)15007-8 · Cited by 1,803
How economic growth, renewable electricity and natural resources contribute to CO2 emissions?
Balsalobre-Lorente, D., Shahbaz, M., Roubaud, D., & Farhani, S. (2018) · Energy Policy · doi:10.1016/j.enpol.2017.10.050 · Cited by 1,501
Kasman, A., & Duman, Y. S. (2015) · Economic Modelling · doi:10.1016/j.econmod.2014.10.022 · Cited by 1,244
Panel cointegration tests of the Fisher effect
Westerlund, J. (2008) · Journal of Applied Econometrics · doi:10.1002/jae.967 · Cited by 1,218
Determinants of CO2 emissions in the European Union: The role of renewable and non-renewable energy
Dogan, E., & Seker, F. (2016) · Renewable Energy · doi:10.1016/j.renene.2016.03.078 · Cited by 1,131
Assessing ICT global emissions footprint: Trends to 2040 & recommendations
Belkhir, L., & Elmeligi, A. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2017.12.239 · Cited by 970
Testing for Granger Non-causality in Heterogeneous PanelsPreprint
Christophe Hurlin, Y., & Dumitrescu, E. (2012) · RePEc: Research Papers in Economics · Cited by 965
Cited by
ICT and environmental quality in Sub-Saharan Africa: Effects and transmission channels
Avom, D., Nkengfack, H., Fotio, H. K., & Totouom, A. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120028 · Cited by 545
Murshed, M. (2020) · Environmental Science and Pollution Research · doi:10.1007/s11356-020-09497-3 · Cited by 450
Zhang, C., Khan, I., Dagar, V., Saeed, A., & Zafar, M. W. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121570 · Cited by 340
Ahmed, Z., & Le, H. P. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-020-11205-0 · Cited by 326
Haldar, A., & Sethi, N. (2022) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2021.111754 · Cited by 322
Metadata
- Authors
- Park, Y., Meng, F., & Baloch, M. A.
- Venue
- Environmental Science and Pollution Research
- Published
- 2018-09-03
- Volume
- 25
- Issue
- 30
- Pages
- 30708-30719
- ISSN
- 0944-1344 (ISSN-L)
- 1614-7499
- OpenAlex
- W2889147202
- Cited by
- 486
- References
- 43
- FWCI
- 42.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Park, Y., Meng, F., & Baloch, M. A. (2018). The effect of ICT, financial development, growth, and trade openness on CO2 emissions: an empirical analysis. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-018-3108-6
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.