Decoupling and decomposition analysis of investments and CO2 emissions in information and communication technology sector
Open accessAbstract
Organization of Economic Cooperation and Development (OECD) economies are facing a substantial increase in the information and communication technology (ICT) investments in the context of rapid spread of the Coronavirus Disease-2019 (COVID-2019) pandemic and constraints of emissions reduction. However, the mechanism of the impact of ICT investments on carbon dioxide is still unclear. Therefore, by employing the decoupling-factor model and Generalized Divisia Index Method, we explore the decoupling states of ICT investments and emission intensity, and the driving factors of ICT investments' scale, intensity, structure, and efficiency effects on carbon emissions in 20 OECD economies between 2000 and 2018. The results indicate that the number of economies with an ideal state of strong decoupling rose to nine between 2009 and 2018 compared to no economies between 2000 and 2009. The emission intensity of ICT investments contributes to a significant increase of carbon emissions, and the structure and efficiency of ICT investments always restrain the growth of carbon emissions. Significant emissions changes caused by the driving factors are shown in many economies before and after the crisis, reflecting the differences in the strategic choices of ICT investments and the impact on emissions due to the crisis such as the COVID-2019 pandemic. And policy implications for energy and carbon dioxide mitigation strategies in the post-COVID-2019 era are also provided.
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
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In some cases, investment in the wrong type of technology can be detrimental to environmental sustainability.
“In some cases, investment in the wrong type of technology can be detrimental to environmental sustainability [66,75,156].”
From ICT sector, digitization and environmental sustainability: A systematic review of the literature from 2000 to 2022 (2023) · cites this paper as [156]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
BP Statistical Review of World Energy
Gurney, J. (1985) · Journal of Policy Analysis and Management · doi:10.2307/3324639 · Cited by 6,313 · see citing works
Ehrlich, P. R., & Holdren, J. P. (1971) · Science · doi:10.1126/science.171.3977.1212 · Cited by 3,628 · see citing works
Timmer, M. P., Dietzenbacher, E., Los, B., Stehrer, R., & de Vries, G. J. (2015) · Review of International Economics · doi:10.1111/roie.12178 · Cited by 2,451 · see citing works
Tapio, P. (2005) · Transport Policy · doi:10.1016/j.tranpol.2005.01.001 · Cited by 1,706 · see citing works
From production-based to consumption-based national emission inventories
Peters, G. P. (2008) · Ecological Economics · doi:10.1016/j.ecolecon.2007.10.014 · Cited by 1,175 · see citing works
Dong, K., Hochman, G., Zhang, Y., Sun, R., Li, H., & Liao, H. (2018) · Energy Economics · doi:10.1016/j.eneco.2018.08.017 · Cited by 700 · see citing works
Self-citationICT Investment and Economic Growth in the 1990s: Is the United States a Unique Case?
Colecchia, A., & Schreyer, P. (2002) · Review of Economic Dynamics · doi:10.1006/redy.2002.0170 · Cited by 528 · see citing works
Cheng, C., Ren, X., Dong, K. Y., Dong, X., & Wang, Z. (2020) · Journal of Environmental Management · doi:10.1016/j.jenvman.2020.111818 · Cited by 502 · see citing works
Self-citationImpacts of urbanization on carbon emissions: An empirical analysis from OECD countries
Wang, W., Liu, L.-C., Liao, H., & Wei, Y. (2021) · Energy Policy · doi:10.1016/j.enpol.2021.112171 · Cited by 472 · see citing works
The effect of ICT development on economic growth and energy consumption in Japan
Ishida, H. (2015) · Telematics and Informatics · doi:10.1016/j.tele.2014.04.003 · Cited by 460 · see citing works
Salahuddin, M., Alam, K., & Öztürk, İ. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.04.018 · Cited by 449 · see citing works
Internet usage, electricity consumption and economic growth in Australia: A time series evidence
Salahuddin, M., & Alam, K. (2015) · Telematics and Informatics · doi:10.1016/j.tele.2015.04.011 · Cited by 396 · see citing works
The impact of ICT industry on CO2 emissions: A regional analysis in China
Zhang, C., & Liu, C. (2014) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2014.12.011 · Cited by 370 · see citing works
Decomposition and decoupling analysis of CO2 emissions in OECD
Chen, J., Wang, P., Cui, L., Huang, S., & Song, M. (2018) · Applied Energy · doi:10.1016/j.apenergy.2018.09.179 · Cited by 334 · see citing works
ICT, CO <sub>2</sub> Emissions and Economic Growth: Evidence from a Panel of ASEAN
Lee, J. W., & Brahmasrene, T. (2014) · Global Economic Review · doi:10.1080/1226508x.2014.917803 · Cited by 330 · see citing works
Paramati, S. R., Mo, D., & Huang, R. (2020) · Finance research letters · doi:10.1016/j.frl.2020.101794 · Cited by 329 · see citing works
Impact of ICT development on economic growth. A study of OECD European union countries
Portillo, A. F., González, M. A., & Mogollón, R. H. (2020) · Technology in Society · doi:10.1016/j.techsoc.2020.101420 · Cited by 314 · see citing works
Habibi, F., & Zabardast, M. A. (2020) · Technology in Society · doi:10.1016/j.techsoc.2020.101370 · Cited by 302 · see citing works
Lu, W. (2018) · Mitigation and Adaptation Strategies for Global Change · doi:10.1007/s11027-018-9787-y · Cited by 289 · see citing works
Wu, Y., Zhu, Q., & Zhu, B. (2018) · Energy Policy · doi:10.1016/j.enpol.2018.01.047 · Cited by 218 · see citing works
Wang, Y., Zhao, H., Li, L., Liu, Z., & Liang, S. (2013) · Energy Policy · doi:10.1016/j.enpol.2013.03.022 · Cited by 216 · see citing works
Danish (2019) · Telematics and Informatics · doi:10.1016/j.tele.2019.101300 · Cited by 199 · see citing works
Adedoyin, F. F., Bekun, F. V., Driha, O. M., & Balsalobre-Lorente, D. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120297 · Cited by 199 · see citing works
Do drivers of CO2 emission growth alter overtime and by the stage of economic development?
Dong, K. Y., Hochman, G., & Timilsina, G. R. (2020) · Energy Policy · doi:10.1016/j.enpol.2020.111420 · Cited by 182 · see citing works
Self-citationFactorial decomposition of CO2 emissions: A generalized Divisia index approach
Vaninsky, A. (2014) · Energy Economics · doi:10.1016/j.eneco.2014.07.008 · Cited by 180 · see citing works
Cho, Y., Lee, J., & Kim, T.-Y. (2007) · Energy Policy · doi:10.1016/j.enpol.2007.03.030 · Cited by 179 · see citing works
Wei, W., Li, J., Chen, B., et al. (2021) · Nature Sustainability · doi:10.1038/s41893-021-00704-8 · Cited by 172 · see citing works
Wang, Z., Cui, C., & Peng, S. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.11.272 · Cited by 153 · see citing works
Zhang, M., Yang, Z., Liu, L., et al. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.147109 · Cited by 148 · see citing works
L'indice monétaire et la théorie de la monnaie
Divisia, F. (1926) · Cited by 145 · see citing works
Science, technology and industry outlook 2000
Radošević, S. (2001) · Technovation · doi:10.1016/s0166-4972(01)00044-x · Cited by 141 · see citing works
Driving factors of carbon emissions embodied in China–US trade: a structural decomposition analysis
Zhao, Y., Wang, S., Zhang, Z., et al. (2016) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2016.04.114 · Cited by 139 · see citing works
The Service Economy in OECD CountriesPreprint
Wölfl, A. (2010) · SSRN Electronic Journal · doi:10.2139/ssrn.1690930 · Cited by 133 · see citing works
Structural decomposition of industrial CO2 emission in Taiwan: an input-output approach
Chang, Y. F., & Lin, S. J. (1998) · Energy Policy · doi:10.1016/s0301-4215(97)00089-x · Cited by 124 · see citing works
Spatial spillover effects in determining China's regional CO 2 emissions growth: 2007–2010
Meng, B., Wang, J., Andrew, R. M., Xiao, H., Xue, J., & Peters, G. P. (2017) · Energy Economics · doi:10.1016/j.eneco.2017.02.001 · Cited by 123 · see citing works
Self-citationShahnazi, R., & Shabani, Z. D. (2019) · Environmental Science and Pollution Research · doi:10.1007/s11356-019-05636-7 · Cited by 122 · see citing works
Can information and communication technology reduce CO2 emission? A quantile regression analysis
Chen, X., Gong, X., Li, D., & Zhang, J. (2019) · Environmental Science and Pollution Research · doi:10.1007/s11356-019-06380-8 · Cited by 122 · see citing works
Who shapes China's carbon intensity and how? A demand-side decomposition analysis
Zhou, X., Zhou, D., Wang, Q., et al. (2019) · Energy Economics · doi:10.1016/j.eneco.2019.104600 · Cited by 121 · see citing works
Wang, J., Dong, X., & Dong, K. Y. (2021) · Applied Economics · doi:10.1080/00036846.2021.1904126 · Cited by 114 · see citing works
Self-citationDong, K. Y., Dong, X., & Ren, X. (2020) · Energy Economics · doi:10.1016/j.eneco.2020.104830 · Cited by 103 · see citing works
Self-citationLiu, L., Huang, G., Baetz, B. W., et al. (2018) · Applied Energy · doi:10.1016/j.apenergy.2018.09.192 · Cited by 95 · see citing works
Analysis of carbon emission intensity, urbanization and energy mix: evidence from China
Dong, F., Long, R., Li, Z., et al. (2016) · Natural Hazards · doi:10.1007/s11069-016-2248-6 · Cited by 94 · see citing works
Drivers of greenhouse gas emissions in the Baltic States: A structural decomposition analysis
Brizga, J., Feng, K., & Hubacek, K. (2014) · Ecological Economics · doi:10.1016/j.ecolecon.2013.12.001 · Cited by 93 · see citing works
Wu, R., & Xie, Z. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.123858 · Cited by 86 · see citing works
The diminishing marginal effect of R&D input and carbon emission mitigation
Li, L., McMurray, A., Li, X., Gao, Y., & Xue, J. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.124423 · Cited by 84 · see citing works
Yu, B., & Fang, D. (2021) · Ecological Indicators · doi:10.1016/j.ecolind.2021.107795 · Cited by 84 · see citing works
Chung, W.-S., Tohno, S., & Shim, S. Y. (2009) · Applied Energy · doi:10.1016/j.apenergy.2009.02.001 · Cited by 83 · see citing works
Study of the emissions and spatial distributions of various power-generation technologies in China
Wang, M., Yao, M., Wang, S., Qian, H., Zhang, P., Wang, Y., Sun, Y., & Wei, W. (2020) · Journal of Environmental Management · doi:10.1016/j.jenvman.2020.111401 · Cited by 72 · see citing works
Bieser, J. C. T., & Hilty, L. M. (2018) · EPiC Series in Computing · doi:10.29007/lx7q · Cited by 64 · see citing works
Driving factors of carbon emissions in China: A joint decomposition approach based on meta-frontier
Liu, B., Shi, J., Wang, H., et al. (2019) · Applied Energy · doi:10.1016/j.apenergy.2019.113986 · Cited by 63 · see citing works
Mobile phone GPS data in urban ride-sharing: An assessment method for emission reduction potential
Zhang, H., Chen, J., Li, W., Song, X., & Shibasaki, R. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.115038 · Cited by 61 · see citing works
Carbon footprint of oil products pipeline transportation
Huang, L., Liao, Q., Yan, J., Liang, Y., & Zhang, H. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.146906 · Cited by 61 · see citing works
Sui, Y., Zhang, H., Shang, W., Sun, R., Wang, C., Ji, J., Song, X., & Shao, F. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.115966 · Cited by 58 · see citing works
Does power grid infrastructure stimulate regional economic growth?
Xu, Z. M., Das, D. K., Guo, W., & Wei, W. (2021) · Energy Policy · doi:10.1016/j.enpol.2021.112296 · Cited by 53 · see citing works
Wang, C., Wang, F., Zhang, X., et al. (2017) · Environmental Science and Pollution Research · doi:10.1007/s11356-017-0114-z · Cited by 45 · see citing works
Wang, C., Wang, F., Zhang, X., et al. (2016) · Journal of Geographical Sciences · doi:10.1007/s11442-017-1382-8 · Cited by 41 · see citing works
Ali, M. A., Alam, K., Taylor, B. R., & Rafiq, S. (2020) · Economic Analysis and Policy · doi:10.1016/j.eap.2020.09.003 · Cited by 36 · see citing works
Kim, H., Kim, M., Kim, H., et al. (2020) · Energies · doi:10.3390/en13143522 · Cited by 34 · see citing works
Pei, J., Meng, B., Wang, F., et al. (2016) · The Singapore Economic Review · doi:10.1142/s0217590817400112 · Cited by 26 · see citing works
How does ICT-use improve the environment? The case of Turkey
Gönel, F., & Akinci, A. (2017) · World Journal of Science Technology and Sustainable Development · doi:10.1108/wjstsd-03-2017-0007 · Cited by 26 · see citing works
Qiu, R., Liao, Q., Yan, J., et al. (2021) · Energy · doi:10.1016/j.energy.2021.120588 · Cited by 26 · see citing works
Impact of ICT exports and internet usage on carbon emissions: a case of OECD countries
Sinha, A. (2018) · International Journal of Green Economics · doi:10.1504/ijge.2018.097869 · Cited by 25 · see citing works
Drivers of household decarbonization: Decoupling and decomposition analysis
Zhao, L., Zhao, T., & Yuan, R. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.125154 · Cited by 23 · see citing works
Information and Communication Technology‐Enabled Low Carbon Technologies
Catulli, M., & Fryer, E. (2012) · Journal of Industrial Ecology · doi:10.1111/j.1530-9290.2011.00452.x · Cited by 22 · see citing works
Abbott, A. J., & Jones, P. R. (2020) · European Journal of Political Economy · doi:10.1016/j.ejpoleco.2020.101988 · Cited by 13 · see citing works
Impact of ICT exports and internet usage on carbon emissions: a case of OECD countries
Sinha, A. (2018) · International Journal of Green Economics · doi:10.1504/ijge.2018.10019143 · Cited by 9 · see citing works
The Impact of ICT on Working from Home: Evidence from EU CountriesPreprint
Jerbashian, V., & Vilalta-Bufí, M. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3736644 · Cited by 8 · see citing works
Gueye, G. N. (2021) · Journal of Housing Economics · doi:10.1016/j.jhe.2021.101748 · Cited by 8 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [59]Ruffing K. Indicators to measure decoupling of environmental pressure from economic growth 2007 Island press London
Cited by
Sorted by citations
Charfeddine, L., & Umlai, M. (2023) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2023.113482 · Cited by 199 · see citing works
“Throughout the array of articles reviewed in this study, the most commonly recommended policy was the immediate need to escalate investments in ICT-related sectors [33,66,75,76,105,108,156,206].”
- Authors
- Wang, J., Jiang, Q., Dong, X., & Dong, K.
- Affiliations
- University of International Business and Economics (CN)
- Corresponding author
- Dong, Kangyin
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2021-11
- Volume
- 302
- Pages
- 117618
- ISSN
- 0306-2619 (ISSN-L)
- PMC
- PMC9757928
- OpenAlex
- W3195147360
- Cited by
- 96
- References
- 68
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 20 · 2023: 31 · 2022: 31 · 2021: 1
- FWCI
- 15.84
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Applied Energy (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Beijing Social Science Fund
- Beijing Municipal Social Science Foundation (21LLLJC028)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Energy, Environment, Economic Growth
- Physical Sciences › Environmental Science › Environmental Engineering › Environmental Impact and Sustainability
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Green IT and Sustainability
- Keywords
- ICT investment, CO2 emissions, decoupling, emission intensity, OECD countries, COVID-19 pandemic
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