The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
Effects of agriculture, renewable energy, and economic growth on carbon dioxide emissions: Evidence of the environmental Kuznets curve
Abstract
Abstract This study contributes to (1) discovering that carbon dioxide (CO2) emissions are not directly influenced by modernisation; (2) attaining sustainable agriculture by incorporating renewable energy into the agriculture sector as an effective CO2 emissions mitigation measure; and (3) applying the environmental Kuznets curve (EKC) to test the relationships among attributes in Malaysia. Prior studies have not addressed the associations between the release of CO2 and economic development, renewable energy, urbanisation, and agriculture in Malaysia. Hence, the objective of the study is to investigate the relationships of the emissions of CO2 and economic development, renewable energy, urbanisation, and agricultural subsectors, such as crops, livestock, and fisheries, in Malaysia for the period 1978 to 2016. By the utilisation of the autoregressive distributed lag test for cointegration, CO2 emissions significantly increased due to economic growth and urbanisation but insignificantly increased due to livestock in the long term. Crops, fisheries, and renewable energy significantly reduced emissions in this period. Moreover, this study reveals that the association between emissions of CO2 and economic development is an inverted U. This finding indicates that CO2 emissions eventually decrease despite the increase in CO2 emissions and economic development in the long term upon reaching a specific level of growth. These findings are consistent for Malaysia in terms of the EKC hypothesis.
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
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
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
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
Environmental Kuznets curve hypothesis: a survey
Dinda, S. (2004) · Ecological Economics · doi:10.1016/j.ecolecon.2004.02.011 · Cited by 4,106
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
Economic growth and income inequality (2000-15)
(2018) · Africa’s development dynamics · doi:10.1787/9789264302501-graph65-en · Cited by 2,549
Testing for a Unit Root in a Time Series With a Changing Mean
Perron, P. (1990) · Journal of Business & Economic Statistics · doi:10.1080/07350015.1990.10509786 · Cited by 1,178
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
Metadata
- Authors
- Ridzuan, N. H. A. M., Marwan, N. F., Khalid, N., Ali, M. H., & Tseng, M.-L.
- Venue
- Resources, Conservation and Recycling
- Publisher
- Elsevier BV
- Published
- 2020-09
- Volume
- 160
- Pages
- 104879
- ISSN
- 0921-3449 (ISSN-L)
- OpenAlex
- W3022766640
- Cited by
- 316
- References
- 68
- FWCI
- 41.18
- 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: Effects of agriculture, renewable energy, and economic growth on carbon dioxide emissions: Evidence of the environmental Kuznets curve. https://app.cochat.ai/papers/10.1016/j.resconrec.2020.104879
- The paper
- Ridzuan, N. H. A. M., Marwan, N. F., Khalid, N., Ali, M. H., & Tseng, M.-L. (2020). Effects of agriculture, renewable energy, and economic growth on carbon dioxide emissions: Evidence of the environmental Kuznets curve. Resources, Conservation and Recycling. https://doi.org/10.1016/j.resconrec.2020.104879
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.