The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.
Determinants of ecological footprint in MINT countries
Open accessAbstract
Environmental Kuznets curve literature mostly uses a single indicator as a measure for environmental degradation. However, each single variable captures only a part of the environmental problem, and a reduction in any single measure does not indicate that the environmental problem is diminishing in general. Our study is the first one which investigates the validity of the environmental Kuznets curve hypothesis for the Mexico, Indonesia, Nigeria, and Turkey (MINT) countries by employing the ecological footprint as the measure of environmental degradation. Autoregressive distributed lag results indicate that the environmental Kuznets curve hypothesis is valid for each of the MINT countries for the period of 1971–2013. The long-run coefficients of our augmented environmental Kuznets curve model show that fossil fuel energy consumption, exports, urbanization, and financial development are the most common causes of anthropogenic pressure on the environment. The effects of exports and imports are negative and positive on environmental degradation, respectively. The long-run coefficients of urbanization, financial development, and renewable energy consumption differ at certain levels for the sampled countries. The results of the analysis point to a number of different policy proposals for each country.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Testing for a unit root in time series regression
PHILLIPS, P. C. B., & PERRON, P. (1988) · Biometrika · doi:10.1093/biomet/75.2.335 · Cited by 19,155
Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root
Dickey, D. A., & Fuller, W. A. (1981) · Econometrica · doi:10.2307/1912517 · Cited by 14,606
Economic Growth and Income Inequality
Kuznets, S. (2019) · The Gap between Rich and Poor · doi:10.4324/9780429311208-4 · Cited by 8,064
Environmental Impacts of a North American Free Trade Agreement
Grossman, G., & Krueger, A. (1991) · National Bureau of Economic Research · doi:10.3386/w3914 · Cited by 7,595
Techniques for Testing the Constancy of Regression Relationships Over Time
Brown, R. L., Durbin, J., & Evans, J. M. (1975) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1975.tb01532.x · Cited by 5,128
Our Ecological Footprint: reducing human impact on the earth
Bazan, G. (1997) · Electronic Green Journal · doi:10.5070/g31710273 · Cited by 4,654
The saving and investment nexus for China: evidence from cointegration tests
Narayan, P. K. (2005) · Applied Economics · doi:10.1080/00036840500278103 · Cited by 3,499
Environmental quality and development: Is there a Kuznets Curve for air pollution emissions?
Selden, T. M., & Song, D. (1994) · Journal of Environmental Economics and Management · doi:10.1006/jeem.1994.1031 · Cited by 2,850
Economic Development and Environmental Quality: An Econometric Analysis
Shafik, N. (1994) · Oxford Economic Papers · doi:10.1093/oep/46.supplement_1.757 · Cited by 1,645
Cited by
Alola, A. A., Bekun, F. V., & Sarkodie, S. A. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.05.139 · Cited by 835
The nexus between urbanization, renewable energy, trade, and ecological footprint in ASEAN countries
Nathaniel, S., & Khan, S. A. R. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.122709 · Cited by 594
Faisal, F., Azizullah, Tursoy, T., & Pervaiz, R. (2020) · Environmental Science and Pollution Research · doi:10.1007/s11356-019-07582-w · Cited by 149
Metadata
- Authors
- Dogan, E., Taspinar, N., & Gokmenoglu, K. K.
- Venue
- Energy & Environment
- Publisher
- SAGE Publications
- Published
- 2019-03-11
- Volume
- 30
- Issue
- 6
- Pages
- 1065-1086
- ISSN
- 0958-305X (ISSN-L)
- 2048-4070
- OpenAlex
- W2921116988
- Cited by
- 256
- References
- 95
- FWCI
- 44.89
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Determinants of ecological footprint in MINT countries. https://app.cochat.ai/papers/10.1177/0958305x19834279
- The paper
- Dogan, E., Taspinar, N., & Gokmenoglu, K. K. (2019). Determinants of ecological footprint in MINT countries. Energy & Environment. https://doi.org/10.1177/0958305x19834279
Data sources
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.