The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Environmental cost of natural resources utilization and economic growth: Can China shift some burden through globalization for sustainable development?
Abstract
This study aims to investigate the relationship between CO 2 emissions in China and its prospective determinants, namely economic growth, globalization, financial development, and natural resources during the period from 1980 to 2017. We present more detailed analyses across multiple econometric approaches within a multivariate system, e.g., the Bayer‐Hanck combined cointegration approach, the ARDL bounds test approach, ARDL estimates in short run and long run, robustness check by cointegration regressions (i.e., FMOLS, DOLS, CCR), and Granger causality approach in the frequency domain. Our results show that economic growth and natural resources have a positive impact on CO 2 emissions in China, although globalization contributes to improving its environmental quality. Meanwhile, there is no statistical evidence that CO 2 emissions in China could be affected by financial development. The causality analysis reveals that globalization, economic growth and natural resources all lead to CO 2 emissions in the long run, while financial development only causes the short‐run CO 2 emissions, which further demonstrate our findings. Such findings are meaningful for policymakers to achieve the sustainable development in China.
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
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
Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models
Johansen, S. (1991) · Econometrica · doi:10.2307/2938278 · Cited by 11,116
Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis
Zivot, E., & Andrews, D. W. K. (2002) · Journal of Business & Economic Statistics · doi:10.1198/073500102753410372 · Cited by 5,737
A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems
Stock, J. H., & Watson, M. W. (1993) · Econometrica · doi:10.2307/2951763 · Cited by 5,013
Statistical Inference in Instrumental Variables Regression with I(1) Processes
Phillips, P. C. B., & Hansen, B. E. (1990) · The Review of Economic Studies · doi:10.2307/2297545 · Cited by 4,909
Error‐correction Mechanism Tests for Cointegration in a Single‐equation Framework
Banerjee, A., Dolado, J., & Mestre, R. (1998) · Journal of Time Series Analysis · doi:10.1111/1467-9892.00091 · Cited by 2,305
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
Self-citationBekun, F. V., Alola, A. A., & Sarkodie, S. A. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2018.12.104 · Cited by 1,385
Canonical Cointegrating Regressions
Park, J. Y. (1992) · Econometrica · doi:10.2307/2951679 · Cited by 1,374
Cited by
Hao, L.-N., Umar, M., Khan, Z., & Ali, W. (2021) · Science of The Total Environment · doi:10.1016/j.scitotenv.2020.141853 · Cited by 785
Self-citationShen, Y., Su, Z.-W., Malik, M. Y., Umar, M., Khan, Z., & Khan, M. (2021) · Science of The Total Environment · doi:10.1016/j.scitotenv.2020.142538 · Cited by 698
Self-citationShan, S., Genç, S. Y., Kamran, H. W., & Dinca, G. (2021) · Journal of Environmental Management · doi:10.1016/j.jenvman.2021.113004 · Cited by 622
Shao, X., Zhong, Y., Liu, W., & Li, R. Y. M. (2021) · Journal of Environmental Management · doi:10.1016/j.jenvman.2021.113189 · Cited by 429
Cheng, Y., Awan, U., Ahmad, S., & Tan, Z. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120398 · Cited by 401
Metadata
- Authors
- Umar, M., Ji, X., Kirikkaleli, D., Shahbaz, M., & Zhou, X.
- Venue
- Sustainable Development
- Publisher
- Wiley
- Published
- 2020-08-19
- Volume
- 28
- Issue
- 6
- Pages
- 1678-1688
- ISSN
- 0968-0802 (ISSN-L)
- 1099-1719
- OpenAlex
- W3068395678
- Cited by
- 386
- References
- 49
- FWCI
- 55.81
- Type
- journal article
- Language
- en
- Open access
- closed
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: Environmental cost of natural resources utilization and economic growth: Can China shift some burden through globalization for sustainable development? https://app.cochat.ai/papers/10.1002/sd.2116
- The paper
- Umar, M., Ji, X., Kirikkaleli, D., Shahbaz, M., & Zhou, X. (2020). Environmental cost of natural resources utilization and economic growth: Can China shift some burden through globalization for sustainable development? Sustainable Development. https://doi.org/10.1002/sd.2116
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.
