The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Coordinating technological progress and environmental regulation in CO2 mitigation: The optimal levels for OECD countries & emerging economies
Abstract
As technological progress and environmental regulation are not only important drivers of but also the double-edged swords in mitigation of CO2 emissions, it is important to figure out their optimal threshold values for CO2 emissions' reduction. This paper employs the panel smooth transition regression technique to explore these optimal values in the case of OECD countries and emerging economies. The results show that: (1) OECD countries are at a level of excessive technological progress, which will have a rebound effect and increase CO2 emissions. (2) Emerging economies are under a strict level of environmental regulation, which will lead to serious ‘green paradox’ effects and harm the economic development. Moreover, they have great potential to achieve CO2 emissions reduction targets through technological progress. (3) Due to the rebound effect, the concentration of environment-related technologies should be shifted from improving energy efficiency to reducing carbon emissions directly such as capture, storage, sequestration or disposal of greenhouse gases. (4) OECD countries should provide low-carbon technical support to emerging economies. In addition, because of the existence of heterogeneity, OECD countries ought to determine their levels of technological progress and environmental regulation according to their own actual conditions.
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
Endogenous Technological Change
Romer, P. M. (1990) · Journal of Political Economy · doi:10.1086/261725 · Cited by 17,711
Toward a New Conception of the Environment-Competitiveness Relationship
Porter, M. E., & Linde, C. V. D. (1995) · Journal of Economic Perspectives · doi:10.1257/jep.9.4.97 · Cited by 13,365
Endogenous Technological Change
Romer, P. (1989) · National Bureau of Economic Research · doi:10.3386/w3210 · Cited by 13,303
Economic growth and the environment
Grossman, G. M., & Krueger, A. B. (1995) · The Quarterly Journal of Economics · doi:10.2307/2118443 · Cited by 9,901
“A Model of Growth: Through Creative Destruction”
Aghion, P., & Howitt, P. (1992) · Econometrica · doi:10.2307/2951599 · Cited by 7,529
A Model of Growth Through Creative Destruction
Aghion, P., & Howitt, P. (1990) · National Bureau of Economic Research · doi:10.3386/w3223 · Cited by 5,634
Threshold effects in non-dynamic panels: Estimation, testing, and inference
Hansen, B. E. (1999) · Journal of Econometrics · doi:10.1016/s0304-4076(99)00025-1 · Cited by 5,260
Innovation and growth in the global economy
Broadberry, S. (1992) · International Journal of Industrial Organization · doi:10.1016/0167-7187(92)90023-r · Cited by 3,930
Specification, Estimation, and Evaluation of Smooth Transition Autoregressive Models
Teräsvirta, T. (1994) · Journal of the American Statistical Association · doi:10.1080/01621459.1994.10476462 · Cited by 2,242
Environmental Regulation and Innovation: A Panel Data Study
Jaffe, A. B., & Palmer, K. (1997) · Review of Economics and Statistics · doi:10.1162/003465397557196 · Cited by 2,181
Cited by
How do environmental technologies affect green growth? Evidence from BRICS economies
Danish, & Ulucak, R. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2020.136504 · Cited by 473
Razzaq, A., Ajaz, T., Li, J. C., Irfan, M., & Suksatan, W. (2021) · Resources Policy · doi:10.1016/j.resourpol.2021.102302 · Cited by 253
Does China's regional emission trading scheme lead to carbon leakage? Evidence from conglomerates
He, L.-Y., & Chen, K.-X. (2023) · Energy Policy · doi:10.1016/j.enpol.2023.113481 · Cited by 66
Metadata
- Authors
- Wang, H., & Wei, W.
- Venue
- Energy Economics
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 87
- Pages
- 104510
- ISSN
- 0140-9883 (ISSN-L)
- OpenAlex
- W2973111152
- Cited by
- 265
- References
- 55
- FWCI
- 28.05
- 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: Coordinating technological progress and environmental regulation in CO2 mitigation: The optimal levels for OECD countries & emerging economies. https://app.cochat.ai/papers/10.1016/j.eneco.2019.104510
- The paper
- Wang, H., & Wei, W. (2020). Coordinating technological progress and environmental regulation in CO2 mitigation: The optimal levels for OECD countries & emerging economies. Energy Economics. https://doi.org/10.1016/j.eneco.2019.104510
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.