The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Impact of technological innovation, financial development and foreign direct investment on renewable energy, non-renewable energy and the environment in belt & Road Initiative countries
Abstract
Abstract This study aims to estimate the short-term and long-term impacts of technological innovation, finance, and foreign direct investment on renewable energy, non-renewable energy, and CO2 emissions in 69 countries of the "Belt and Road Initiative (BRI)" from 2000 to 2014. Using robust standard error regression and dynamic GMM estimators, the results showed that technological innovations, economic growth, and foreign direct investment (FDI) have a negative impact on renewable energy. In contrast, financial developments have shown to be a significant positive determinant of the study area's renewable energy sector. The impression of technological innovation, FDI, and economic growth is positive, contributing to energy use and CO2 emissions in the BRI countries. The Granger non-causality test showed two-way causal links between renewable energy, technological innovation, finance, and FDI. The study's practical applications are unique and have policy implications; for example, financial markets in the BRI countries should be promoted because they are the main determinants of the renewable energy sector and economic growth, reducing CO2 emissions. Furthermore, investment in the R&D of technological innovations is much needed in these countries.
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
Arellano, M., & Bond, S. (1991) · The Review of Economic Studies · doi:10.2307/2297968 · Cited by 33,272
Testing for unit roots in heterogeneous panels
Im, K. S., Pesaran, M. H., & Shin, Y. (2003) · Journal of Econometrics · doi:10.1016/s0304-4076(03)00092-7 · Cited by 15,435
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
How to do Xtabond2: An Introduction to Difference and System GMM in Stata
Roodman, D. (2009) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x0900900106 · Cited by 9,848
General Diagnostic Tests for Cross Section Dependence in Panels
Pesaran, M. H. (2004) · doi:10.2139/ssrn.572504 · Cited by 8,738
Consistent Covariance Matrix Estimation with Spatially Dependent Panel Data
Driscoll, J. C., & Kraay, A. C. (1998) · Review of Economics and Statistics · doi:10.1162/003465398557825 · Cited by 6,865
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
Role of renewable energy sources in environmental protection: A review
Panwar, N. L., Kaushik, S. C., & Kothari, S. (2011) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2010.11.037 · Cited by 3,897
Financial markets and the allocation of capital
Wurgler, J. (2000) · Journal of Financial Economics · doi:10.1016/s0304-405x(00)00070-2 · Cited by 1,974
Cited by
Hsu, C.-C., Quang-Thanh, N., Chien, F., Li, L., & Mohsin, M. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-14499-w · Cited by 369
Metadata
- Authors
- Khan, A., Chenggang, Y., Hussain, J., & Kui, Z.
- Venue
- Renewable Energy
- Publisher
- Elsevier BV
- Published
- 2021-06
- Volume
- 171
- Pages
- 479-491
- ISSN
- 0960-1481 (ISSN-L)
- OpenAlex
- W3130893117
- Cited by
- 394
- References
- 73
- FWCI
- 50.54
- 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: Impact of technological innovation, financial development and foreign direct investment on renewable energy, non-renewable energy and the environment in belt & Road Initiative countries. https://app.cochat.ai/papers/10.1016/j.renene.2021.02.075
- The paper
- Khan, A., Chenggang, Y., Hussain, J., & Kui, Z. (2021). Impact of technological innovation, financial development and foreign direct investment on renewable energy, non-renewable energy and the environment in belt & Road Initiative countries. Renewable Energy. https://doi.org/10.1016/j.renene.2021.02.075
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.