The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
The impact of innovation and technology investments on carbon emissions in selected organisation for economic Co-operation and development countries
Abstract
Abstract Countries belonging to the Organisation for Economic Co-operation and Development (OECD) are among those with the highest level of carbon emissions in the world. Following negotiations, OECD members resolved to heighten and support innovation and technology investments in the public and private sectors aimed at reducing carbon emissions. This study conducted a system-Generalized Method of Moments (GMM) analysis to investigate how innovation and technology investments influence carbon emissions in selected OECD economies from 2000 to 2014. Using data from the OECD database and the World Development Indicators (World Bank database), it employed four proxies of innovation and technology investments, namely, renewable energy consumption, the number of researchers, spending on research and development and the number of triadic patent families. The results indicated that, after applying the dynamic model and controlling for endogeneity, renewable energy consumption and spending on research and development have a statistically significant negative relationship with carbon emissions. The number of triadic patent families illustrates a positive and significant relationship with carbon emissions, but in the case of the number of researchers, the relationship was positive but not significant. Overall, this suggests that innovation and technology investments in these countries affect emissions differently and still have the potential to reduce environmental quality. It is concluded that ensuring that patents include natural environmental standard specifications and that researchers are better equipped with green skills and knowledge would enhance the achievement of zero-emission targets.
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Arellano, M., & Bond, S. (1991) · The Review of Economic Studies · doi:10.2307/2297968 · Cited by 33,272
(2001) · RePEc: Research Papers in Economics · Cited by 27,577
Initial conditions and moment restrictions in dynamic panel data models
Blundell, R., & Bond, S. (1998) · Journal of Econometrics · doi:10.1016/s0304-4076(98)00009-8 · Cited by 22,571
Another look at the instrumental variable estimation of error-components models
Arellano, M., & Bover, O. (1995) · Journal of Econometrics · doi:10.1016/0304-4076(94)01642-d · Cited by 19,880
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
Econometric Analysis of Panel Data
Baltagi, B. H. (2021) · Springer Texts in Business and Economics · doi:10.1007/978-3-030-53953-5 · Cited by 15,104
Initial conditions and moment restrictions in dynamic panel data models
Blundell, R., & Bond, S. (1995) · Working Paper Series · doi:10.1920/wp.ifs.1995.9517 · Cited by 14,755
Large Sample Properties of Generalized Method of Moments Estimators
Hansen, L. P. (1982) · Econometrica · doi:10.2307/1912775 · Cited by 13,467
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
Biases in dynamic models with fixed effects
Nickell, S. (1981) · Econometrica · doi:10.2307/1911408 · Cited by 8,735
Cited by
Acheampong, A. O., Dzator, J., Dzator, M., & Salim, R. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121843 · Cited by 217
Charfeddine, L., & Umlai, M. (2023) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2023.113482 · Cited by 199
Anser, M. K., Ahmad, M., Khan, M. A., Zaman, K., Nassani, A. A., Askar, S. E., Abro, M. M. Q., & Kabbani, A. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-020-12114-y · Cited by 163
Sun, H., & Kim, G. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101661 · Cited by 93
Metadata
- Authors
- Ganda, F.
- Venue
- Journal of Cleaner Production
- Publisher
- Elsevier BV
- Published
- 2019-04
- Volume
- 217
- Pages
- 469-483
- ISSN
- 0959-6526 (ISSN-L)
- OpenAlex
- W2912105782
- Cited by
- 518
- References
- 64
- FWCI
- 58.60
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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