The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Does fiscal decentralization and eco-innovation promote renewable energy consumption? Analyzing the role of political risk
Abstract
The role of fiscal decentralization is important not only for the promotion of cleaner energy sources but also for a sustainable environment and the achievement of the Paris Climate Agreement (COP21) in 2015 in general. Therefore, this study attempts to incorporate fiscal decentralization as a new determinant of renewable and non-renewable energy consumption along with political risk index, eco-innovation, and renewable energy research and development (R&D) for seven (Organization for Economic Cooperation and Development) OECD countries from 1990 to 2018. For empirical analysis, the test proposed in Banerjee and Carrion-I-Silvestre (2017) is employed for cointegration, while cross-section augmented autoregressive-distributed lag (CS-ARDL) is used for the short-run and long-run analysis, and to check robustness, a common correlated effect mean group (CCEMG) test is applied. The results confirm that fiscal decentralization and eco-innovation promote renewable energy consumption and lower non-renewable energy use. Moreover, the improvement of the political risk index and the rise of R&D in renewable energy increase renewable and decrease non-renewable energy consumption. For policy implications, this study recommends that transferring the power to the local governments will further improve energy efficiency and switch these countries' energy mix towards more sustainable sources of energy. This shall also help to reduce the use of non-renewable energy consumption, i.e., fossil fuels in the total energy mix.
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
A simple panel unit root test in the presence of cross‐section dependence
Pesaran, M. H. (2007) · Journal of Applied Econometrics · doi:10.1002/jae.951 · Cited by 12,787
Testing for Error Correction in Panel Data*
Westerlund, J. (2007) · Oxford Bulletin of Economics and Statistics · doi:10.1111/j.1468-0084.2007.00477.x · Cited by 6,113
Testing slope homogeneity in large panels
Hashem Pesaran, M., & Yamagata, T. (2008) · Journal of Econometrics · doi:10.1016/j.jeconom.2007.05.010 · Cited by 5,954
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
Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure
Pesaran, M. H. (2006) · Econometrica · doi:10.1111/j.1468-0262.2006.00692.x · Cited by 5,078
General diagnostic tests for cross-sectional dependence in panels
Pesaran, M. H. (2021) · Empirical Economics · doi:10.1007/s00181-020-01875-7 · Cited by 2,707
Chudik, A., & Pesaran, M. H. (2015) · Journal of Econometrics · doi:10.1016/j.jeconom.2015.03.007 · Cited by 2,499
Renewable energy consumption and income in emerging economies
Sadorsky, P. (2009) · Energy Policy · doi:10.1016/j.enpol.2009.05.003 · Cited by 1,136
Testing for Granger Non-causality in Heterogeneous PanelsPreprint
Christophe Hurlin, Y., & Dumitrescu, E. (2012) · RePEc: Research Papers in Economics · Cited by 965
Political power and renewable energy futures: A critical review
Burke, M. J., & Stephens, J. C. (2018) · Energy Research & Social Science · doi:10.1016/j.erss.2017.10.018 · Cited by 821
Cited by
Shen, 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-citationCheng, Y., Awan, U., Ahmad, S., & Tan, Z. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120398 · Cited by 401
lin, J., Shen, Y., Li, X., & Hasnaoui, A. (2021) · Journal of Environmental Management · doi:10.1016/j.jenvman.2021.113460 · Cited by 112
Li, Y., Wang, X., Imran, A., Aslam, M. U., & Mehmood, U. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e18882 · Cited by 43
Metadata
- Authors
- Su, C.-W., Umar, M., & Khan, Z.
- Venue
- Science of The Total Environment
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 751
- Pages
- 142220
- ISSN
- 0048-9697 (ISSN-L)
- OpenAlex
- W3083955517
- Cited by
- 292
- References
- 48
- FWCI
- 40.13
- 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: Does fiscal decentralization and eco-innovation promote renewable energy consumption? Analyzing the role of political risk. https://app.cochat.ai/papers/10.1016/j.scitotenv.2020.142220
- The paper
- Su, C.-W., Umar, M., & Khan, Z. (2021). Does fiscal decentralization and eco-innovation promote renewable energy consumption? Analyzing the role of political risk. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2020.142220
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.