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Supply-chain digitization and non-intrusive load monitoring with digital twins: The Impact of Energy Policies on Carbon Pricing and Renewable Energy Deployment

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  • Khan, Mansoor
  • Khan, Salabat
  • Rahman, Imran Ur

Abstract

The global push towards sustainable energy systems has led to increasing interest in digital tools that can optimize energy efficiency. In particular, emerging technologies such as supply chain digitization, non-intrusive load monitoring, and digital twin cities are gaining attention for their potential to enhance energy management practices. However, understanding their impact on energy efficiency policies, especially in developing countries, remains an area that requires further exploration. This study investigates how digitalization tools enhance energy efficiency policy cycles for 30 Asian developing countries between 1997 and 2022. Using a quantitative approach, we analyze panel data through the Panel Generalized Method of Moments (GMM) technique to assess the impact of supply chain digitization, non-intrusive load monitoring, and digital tools integration in energy efficiency policies. The findings indicate that while supply chain digitization can reduce energy consumption, it also presents some negative side effects. Additionally, the application of virtual buildings and digital twin cities contributes to improved natural resource management and economic outcomes, advancing integrated energy efficiency policy tools. By incorporating technologies such as digitalization and non-intrusive load monitoring, the study highlights how digital twin technologies help set and achieve energy efficiency targets, enhancing the efforts of policymakers and stakeholders in fostering a sustainable energy future.

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  • Khan, Mansoor & Khan, Salabat & Rahman, Imran Ur, 2025. "Supply-chain digitization and non-intrusive load monitoring with digital twins: The Impact of Energy Policies on Carbon Pricing and Renewable Energy Deployment," Energy Economics, Elsevier, vol. 144(C).
    • Handle: RePEc:eee:eneeco:v:144:y:2025:i:c:s0140988325002245
    DOI: 10.1016/j.eneco.2025.108400
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    1. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    2. Zihanxin Li & Nuoyan Li & Huwei Wen, 2021. "Digital Economy and Environmental Quality: Evidence from 217 Cities in China," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    3. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    4. Du, Junhua & Yang, Xiaofei & Long, Dengjie & Xin, Yongrong, 2024. "Modelling the influence of natural resources and social globalization on load capacity factor: New insights from the ASEAN countries," Resources Policy, Elsevier, vol. 91(C).
    5. Seung C. Ahn & Alex R. Horenstein, 2013. "Eigenvalue Ratio Test for the Number of Factors," Econometrica, Econometric Society, vol. 81(3), pages 1203-1227, May.
    6. Longfei He & Huanhuan Wang & Fangtong Liu, 2024. "Emission abatement in low-carbon supply chains with government subsidy and information asymmetry," International Journal of Production Research, Taylor & Francis Journals, vol. 62(18), pages 6598-6626, September.
    7. Razzaq, Asif & Sharif, Arshian & Ozturk, Ilhan & Skare, Marinko, 2023. "Asymmetric influence of digital finance, and renewable energy technology innovation on green growth in China," Renewable Energy, Elsevier, vol. 202(C), pages 310-319.
    8. Tomiwa Sunday Adebayo & Ahmed Samour, 2024. "Renewable energy, fiscal policy and load capacity factor in BRICS countries: novel findings from panel nonlinear ARDL model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(2), pages 4365-4389, February.
    9. Peterson K. Ozili, 2018. "Impact of digital finance on financial inclusion and stability," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 18(4), pages 329-340, December.
    10. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    11. Hansen, Bruce E & West, Kenneth D, 2002. "Generalized Method of Moments and Macroeconomics," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 460-469, October.
    12. Ozili, Peterson Kitakogelu, 2018. "Impact of Digital Finance on Financial Inclusion and Stability," MPRA Paper 84771, University Library of Munich, Germany.
    13. Liu, Yang & Luan, Lin & Wu, Weilong & Zhang, Zhiqiang & Hsu, Yen, 2021. "Can digital financial inclusion promote China's economic growth?," International Review of Financial Analysis, Elsevier, vol. 78(C).
    14. Djedaiet, Aissa & Ayad, Hicham & Ben-Salha, Ousama, 2024. "Oil prices and the load capacity factor in African oil-producing OPEC members: Modeling the symmetric and asymmetric effects," Resources Policy, Elsevier, vol. 89(C).
    15. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    Full references (including those not matched with items on IDEAS)

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