The energy effect of blockchain technology innovation in the Industry 5.0 Era: From the perspective of carbon emissions | Science and Technology for Energy Transition (STET)

Emerging Advances in Hybrid Renewable Energy Systems and Integration

Open Access

Issue		Sci. Tech. Energ. Transition Volume 80, 2025 Emerging Advances in Hybrid Renewable Energy Systems and Integration


Article Number		4
Number of page(s)		15
DOI		https://doi.org/10.2516/stet/2024094
Published online		17 December 2024

Wang J., Azam W. (2024) Natural resource scarcity, fossil fuel energy consumption, and total greenhouse gas emissions in top emitting countries. Geosci. Front. 15, 101757. [CrossRef] [Google Scholar]
Udeagha M.C., Ngepah N. (2022) Disaggregating the environmental effects of renewable and non-renewable energy consumption in South Africa: fresh evidence from the novel dynamic ARDL simulations approach. Econ. Change Restruct. 55, 1767–1814. [CrossRef] [Google Scholar]
Kouton J. (2021) The impact of renewable energy consumption on inclusive growth: panel data analysis in 44 African countries. Econ. Change Restruct. 54, 145–170. [CrossRef] [Google Scholar]
Zhao L., Zhang Y., Sadiq M., Hieu V.M., Ngo T.Q. (2023) Testing green fiscal policies for green investment, innovation and green productivity amid the COVID-19 era. Econ. Change Restruct. 56, 2943–2964. [CrossRef] [Google Scholar]
Zhai H., Yang M., Chan K.C. (2022) Does digital transformation enhance a firm’s performance? Evidence from China. Technol. Soc. 68, 101841. [CrossRef] [Google Scholar]
Amiram D., Jørgensen B.N., Rabetti D. (2022) Coins for bombs: The predictive ability of on‐chain transfers for terrorist attacks. J. Account. Res. 60, 427–466. [CrossRef] [Google Scholar]
Greening L.A., Greene D.L., Difiglio C. (2000) Energy efficiency and consumption-the rebound effect – a survey. Energy Policy 28, 389–401. [CrossRef] [Google Scholar]
Bongers A. (2024) Household behavior and the rebound effect. Energy Econ. 130, 107267. [CrossRef] [Google Scholar]
Boumaiza L., Chesnaux R., Drias T., Walter J., Huneau F., Garel E., Knoeller K., Stumpp C. (2020) Identifying groundwater degradation sources in a Mediterranean coastal area experiencing significant multi-origin stresses. Sci. Total Environ. 746, 141203. [CrossRef] [Google Scholar]
Bokkisam H.R., Singh S., Acharya R.M., Selvan M.P. (2021) Blockchain-based peer-to-peer transactive energy system for community microgrid with demand response management. CSEE J. Power Energy Syst. 8, 198–211. [Google Scholar]
Ali A.O., Elmarghany M.R., Abdelsalam M.M., Sabry M.N., Hamed A.M. (2022) Closed-loop home energy management system with renewable energy sources in a smart grid: a comprehensive review. J. Energy Storage 50, 104609. [CrossRef] [Google Scholar]
Johnson R.C., Noguera G. (2017) A portrait of trade in value-added over four decades. Rev. Econ. Stat. 99, 896–911. [CrossRef] [Google Scholar]
Carson B., Romanelli G., Walsh P., Zhumaev A. (2018) Blockchain beyond the hype: What is the strategic business value. McKinsey & Company 1, 1–13. [Google Scholar]
Hastig G.M., Sodhi M.S. (2020) Blockchain for supply chain traceability: Business requirements and critical success factors. Prod. Oper. Manag. 29, 935–954. [CrossRef] [Google Scholar]
Kang J., Yu R., Huang X., Wu M., Maharjan S., Xie S., Zhang Y. (2018) Blockchain for secure and efficient data sharing in vehicular edge computing and networks. IEEE Internet Things J. 6, 4660–4670. [Google Scholar]
Cui Y., Hu M., Liu J. (2023) Value and design of traceability-driven blockchains. Manuf. Serv. Oper. Manag. 25, 1099–1116. [CrossRef] [Google Scholar]
Cong L.W., He Z. (2019) Blockchain disruption and smart contracts. Rev. Financ. Stud. 32, 1754–1797. [CrossRef] [Google Scholar]
Hong I.H., Ammons J.C., Realff M.J. (2008) Centralized versus decentralized decision-making for recycled material flows. Environ. Sci. Technol. 42, 1172–1177. [Google Scholar]
Giannoccaro I. (2018) Centralized vs. decentralized supply chains: The importance of decision maker’s cognitive ability and resistance to change. Ind. Market. Manag. 73, 59–69. [CrossRef] [Google Scholar]
Jenkins J.M., Henry G.T. (2016) Dispersed vs. centralized policy governance: The case of state early care and education policy. J. Publ. Adm. Res. Theory 26, 709–725. [CrossRef] [Google Scholar]
Toufaily E., Zalan T., Dhaou S.B. (2021) A framework of blockchain technology adoption: An investigation of challenges and expected value. Inform. Manage. 58, 103444. [CrossRef] [Google Scholar]
Firk S., Gehrke Y., Hanelt A., Wolff M. (2022) Top management team characteristics and digital innovation: exploring digital knowledge and TMT interfaces. Long Range Plann. 55, 102166. [CrossRef] [Google Scholar]
Teece D.J. (2018) Profiting from innovation in the digital economy: Enabling technologies, standards, and licensing models in the wireless world. Res. Policy 47, 1367–1387. [CrossRef] [Google Scholar]
Treiblmaier H. (2018) The impact of the blockchain on the supply chain: a theory-based research framework and a call for action. Supply Chain Manag. 23, 545–559. [CrossRef] [Google Scholar]
Xu M., Chen X., Kou G. (2019) A systematic review of blockchain. Financ. Innov. 5, 1–14. [CrossRef] [Google Scholar]
Gorkhali A., Li L., Shrestha A. (2020) Blockchain: a literature review. J. Manag. Anal. 7, 321–343. [Google Scholar]
Mandolla C., Petruzzelli A.M., Percoco G., Urbinati A. (2019) Building a digital twin for additive manufacturing through the exploitation of blockchain: a case analysis of the aircraft industry. Comput. Ind. 109, 134–152. [CrossRef] [Google Scholar]
Wang J., Yu H., Ren D., Zhang J. (2023) Promoting mineral resources consumption efficiency: evidence from technology of big data. Resour. Policy 86, 104210. [CrossRef] [Google Scholar]
Aghion P., Howitt P. (1992) A model of growth through creative destruction. Econometrica 60, 323–351. [CrossRef] [Google Scholar]
Falck O., Heblich S., Kipar S. (2011) Incumbent innovation and domestic entry. Small Bus. Econ. 36, 271–279. [CrossRef] [Google Scholar]
Jiang H., Dai X., Xiao Z., Iyengar A. (2022) Joint task offloading and resource allocation for energy-constrained mobile edge computing. IEEE T Mobile Comput. 22, 4000–4015. [Google Scholar]
Bharadwaj A., El Sawy O.A., Pavlou P.A., Venkatraman N.V. (2013) Digital business strategy: toward a next generation of insights. MIS Quart. 37, 471–482. [CrossRef] [Google Scholar]
Yoo Y., Boland Jr R.J., Lyytinen K., Majchrzak A. (2012) Organizing for innovation in the digitized world. Organ. Sci. 23, 1398–1408. [CrossRef] [Google Scholar]
Litvinenko V.S. (2020) Digital economy as a factor in the technological development of the mineral sector. Nat. Resour. Res. 29, 1521–1541. [CrossRef] [Google Scholar]
Ahl A., Yarime M., Goto M., Chopra S.S., Kumar N.M., Tanaka K., Sagawa D. (2020) Exploring blockchain for the energy transition: opportunities and challenges based on a case study in Japan. Renew. Sust. Energy Rev. 117, 109488. [CrossRef] [Google Scholar]
Liu L.L., Feng T.T., Kong J.J. (2023) Can carbon trading policy and local public expenditures synergize to promote carbon emission reduction in the power industry? Resour. Conserv. Recy. 188, 106659. [CrossRef] [Google Scholar]
Michels J. (2012) Do unverifiable disclosures matter? Evidence from peer-to-peer lending. Account. Rev. 87, 1385–1413. [CrossRef] [Google Scholar]
Lyandres E., Palazzo B., Rabetti D. (2022) Initial coin offering (ICO) success and post-ICO performance. Manage. Sci. 68, 8658–8679. [CrossRef] [Google Scholar]
Feng C., Zhong S., Wang M. (2024) How can green finance promote the transformation of China’s economic growth momentum? A perspective from internal structures of green total-factor productivity. Res. Int. Bus. Finance 70, 102356. [CrossRef] [Google Scholar]
Castellani F., Della Fornace M., Falvo M.C., Ferretti A., Santi F. (2024) Labeling and assessment of energy and sustainability performances in the civil sector: the case study of ESA-ESRIN in Rome. J. Clean. Prod. 453, 142135. [CrossRef] [Google Scholar]
Chod J., Trichakis N., Tsoukalas G., Aspegren H., Weber M. (2020) On the financing benefits of supply chain transparency and blockchain adoption. Manage. Sci. 66, 4378–4396. [CrossRef] [Google Scholar]
Niu Z., Yan C., Tan F. (2024) Green Innovation and eco-efficiency: interaction between society and environment of sustainable development demonstration belt in China. Environ. Technol. Inno. 34, 103620. [CrossRef] [MathSciNet] [Google Scholar]
Imbruno M., Ketterer T.D. (2018) Energy efficiency gains from importing intermediate inputs: Firm-level evidence from Indonesia. J. Dev. Econ. 135, 117–141. [CrossRef] [Google Scholar]
Wei W., Cai W., Guo Y., Bai C., Yang L. (2020) Decoupling relationship between energy consumption and economic growth in China’s provinces from the perspective of resource security. Resour. Policy 68, 101693. [CrossRef] [Google Scholar]
Fang L.H., Lerner J., Wu C. (2017) Intellectual property rights protection, ownership, and innovation: evidence from China. Rev. Financ. Stud. 30, 2446–2477. [CrossRef] [Google Scholar]
Sun H., Edziah B.K., Kporsu A.K., Sarkodie S.A. (2021) Energy efficiency: the role of technological innovation and knowledge spillover. Technol. Forecast. Soc. 167, 120659. [CrossRef] [Google Scholar]
Filippini M., Hunt L.C., Zorić J. (2014) Impact of energy policy instruments on the estimated level of underlying energy efficiency in the EU residential sector. Energy Policy 69, 73–81. [CrossRef] [Google Scholar]
Hanelt A., Bohnsack R., Marz D., Antunes Marante C. (2021) A systematic review of the literature on digital transformation: Insights and implications for strategy and organizational change. J. Manage. Stud. 58, 1159–1197. [CrossRef] [Google Scholar]
Tian J., Sun S., Cao W., Bu D., Xue R. (2024) Make every dollar count: The impact of green credit regulation on corporate green investment efficiency. Energy Econ. 130, 107307. [CrossRef] [Google Scholar]
Nunn N., Qian N. (2014) US food aid and civil conflict. Am. Econ. Rev. 104, 1630–1666. [CrossRef] [Google Scholar]
Jabbour C.J., Seuring S., de Sousa Jabbour A.B., Jugend D., Fiorini P.D., Latan H., Izeppi W.C. (2020) Stakeholders, innovative business models for the circular economy and sustainable performance of firms in an emerging economy facing institutional voids. J. Environ. Manage. 264, 110416. [CrossRef] [Google Scholar]
Sardana D., Gupta N., Kumar V., Terziovski M. (2020) CSR “sustainability” practices and firm performance in an emerging economy. J. Clean. Prod. 258, 120766. [CrossRef] [Google Scholar]
Lennox C., Pittman J. (2010) Auditing the auditors: evidence on the recent reforms to the external monitoring of audit firms. J. Account. Econ. 49, 84–103. [CrossRef] [Google Scholar]
Clastres C. (2011) Smart grids: another step towards competition, energy security and climate change objectives. Energy Policy 39, 5399–5408. [CrossRef] [Google Scholar]
Saberi S., Kouhizadeh M., Sarkis J., Shen L. (2019) Blockchain technology and its relationships to sustainable supply chain management. Int. Prod. Res. 57, 2117–2135. [CrossRef] [Google Scholar]
Cao M., Zhang Q. (2011) Supply chain collaboration: impact on collaborative advantage and firm performance. J. Oper. Manag. 29, 163–180. [CrossRef] [Google Scholar]
Sun G., Li T., Ai Y., Li Q. (2023) Digital finance and corporate financial fraud. Int. Rev. Finance Anal. 87, 102566. [CrossRef] [Google Scholar]
Purewal K., Haini H. (2021) Re-examining the effect of financial markets and institutions on economic growth: evidence from the OECD countries. Econ. Change Restruct. 55, 311–333. [Google Scholar]
Tian H., Zhao L., Yunfang L., Wang W. (2023) Can enterprise green technology innovation performance achieve “corner overtaking” by using artificial intelligence? Evidence from Chinese manufacturing enterprises. Technol. Forecast. Soc. 194, 122732. [CrossRef] [Google Scholar]
Cheng Y., Zhou X., Li Y. (2023) The effect of digital transformation on real economy enterprises’ total factor productivity. Int. Rev. Econ. Finance 85, 488–501. [CrossRef] [Google Scholar]
Zhao Y., Mao J., Li Y. (2022) Local governments’ environmental emphasis and corporate green innovation: evidence from China. Econ. Change Restruct. 55, 2577–2603. [CrossRef] [Google Scholar]
Feng Z., Luo N., Shalpegin T., Cui H. (2024) The influence of carbon emission reduction instruments on blockchain technology adoption in recycling batteries of the new energy vehicles. Int. J. Prod. Res. 62, 891–908. [CrossRef] [Google Scholar]
Liu C., Tang X., Yu F., Zhang D., Wang Y., Li J. (2024) Carbon emission measurement method of regional power system based on LSTM-attention model. Sci. Technol. Energy Transit. 79, 43. [CrossRef] [Google Scholar]
Bouramdane A.A. (2024) Morocco’s path to a climate-resilient energy transition: identifying emission drivers, proposing solutions, and addressing barriers. Sci. Technol. Energy Transit. 79, 26. [CrossRef] [Google Scholar]
Çınarer G., Yeşilyurt M.K., Ağbulut Ü., Yılbaşı Z., Kılıç K. (2024) Application of various machine learning algorithms in view of predicting the CO₂ emissions in the transportation sector. Sci. Technol. Energy Transit. 79, 15. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.