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2. The impact of digital economy on energy rebound effect in China: A stochastic energy demand frontier approach. (2025). Lin, Boqiang ; Huang, Chenchen.
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   RePEc:eee:enepol:v:196:y:2025:i:c:s0301421524004385.

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1. Spatiotemporal Dynamic Evolution of Energy Rebound Effect and Sustainable Path for Energy Conservation–Emission Reduction in Resource-Based Cities of China. (2025). Zhu, Zhigang ; Zhang, Zhongjia.
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2. Twin transitions or a meeting of strangers? Unravelling the effects of AI and innovations on economic, social and environmental MSMEs sustainability. (2025). Ficapal-Cus, Pilar ; Enache-Zegheru, Mihaela ; Torrent-Sellens, Joan.
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3. Exploring idea selection in open innovation communities: A stochastic cusp catastrophe model perspective. (2025). Zhao, Yuxiang Chris ; Huang, QI ; Yan, Ying ; Zhang, Jundong ; Li, NA.
   In: Technological Forecasting and Social Change.
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4. Assessing the impact of artificial intelligence on the transition to renewable energy? Analysis of U.S. states under policy uncertainty. (2025). Lee, Chi-Chuan ; Fang, Yuzhu ; Li, Xinghao.
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5. Re‐Unveiling the energy efficiency impact: Paving the way for sustainable growth in ASEAN countries. (2024). Hong, Chengyih ; Adha, Rishan ; Muzayyanah, Syamsiyatul ; Yang, Sufen.
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6. Digital transition, data-and-tasks crowd-based economy, and the shared social progress: Unveiling a new political economy from a European perspective. (2024). Torrent-Sellens, Joan.
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   RePEc:eee:teinso:v:79:y:2024:i:c:s0160791x24002872.

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7. Firm digitalization as strategic response: An integrated model based on the awareness-motivation-capability (AMC) framework. (2024). Tan, Ziyan ; Zhang, Jiale ; Guo, Bin.
   In: Technological Forecasting and Social Change.
   RePEc:eee:tefoso:v:205:y:2024:i:c:s004016252400249x.

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8. Does news propaganda really affect residents’ electricity rebound effect: New evidence of non-price information. (2024). Wei, Kai ; Lin, Boqiang ; Zhang, Zuopeng Justin.
   In: Energy.
   RePEc:eee:energy:v:300:y:2024:i:c:s0360544224013628.

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9. Digitalization as a trigger for a rebound effect of electricity use. (2024). Qin, Xiong-Feng ; Peng, Hua-Rong.
   In: Energy.
   RePEc:eee:energy:v:300:y:2024:i:c:s0360544224013586.

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10. The rebound effect of material and energy efficiency for the EU and its major trading partners. (2024). Akdoan, Tuba ; Alata, Sedat ; Karakaya, Etem ; Erkara, Elif ; Hiyilmaz, Burcu ; Mert, Betul.
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11. Is artificial intelligence a curse or a blessing for enterprise energy intensity? Evidence from China. (2024). Zhang, Weike ; Zeng, Ming.
    In: Energy Economics.
    RePEc:eee:eneeco:v:134:y:2024:i:c:s014098832400269x.

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12. Development of regression models to forecast the CO2 emissions from fossil fuels in the BRICS and MINT countries. (2023). Karakurt, Izzet ; Aydin, Gokhan.
    In: Energy.
    RePEc:eee:energy:v:263:y:2023:i:pa:s0360544222025361.

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13. Green innovation and SO2 emissions: Dynamic threshold effect of human capital. (2023). Salman, Muhammad ; Yan, Zheming ; Luo, Yusen ; Long, Xingle ; Wang, Qinglin ; Wu, Chao.
    In: Business Strategy and the Environment.
    RePEc:bla:bstrat:v:32:y:2023:i:1:p:499-515.

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14. ICT, carbon emissions, climate change, and energy demand nexus: the potential benefit of digitalization in Taiwan. (2022). Adha, Rishan ; Agrawal, Somya ; Li, Li-Hua ; Hong, Cheng-Yih.
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15. Modeling Industrial Energy Demand in Relation to Subsector Manufacturing Output and Climate Change: Artificial Neural Network Insights. (2022). Adha, Rishan ; Shiau, Yuo-Hsien ; Muzayyanah, Syamsiyatul ; Yang, Su-Fen.
    In: Sustainability.
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16. Can Artificial Intelligence Improve the Energy Efficiency of Manufacturing Companies? Evidence from China. (2022). Yang, Zhidan ; Qian, YU ; Liu, Jun.
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17. Environmental regulation, technology innovation, and low carbon development: Revisiting the EKC Hypothesis, Porter Hypothesis, and Jevons’ Paradox in Chinas iron & steel industry. (2022). Wang, Xiaoling ; Zhang, Tianyue ; Shao, Qinglong ; Nathwani, Jatin ; Yang, Fangming.
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18. Combining parametric and non-parametric approach, variable & source -specific productivity changes and rebound effect of energy & environment. (2022). Miao, Zhuang ; Chen, Xiaodong.
    In: Technological Forecasting and Social Change.
    RePEc:eee:tefoso:v:175:y:2022:i:c:s004016252100799x.

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19. Carbon emissions trading scheme, energy efficiency and rebound effect – Evidence from Chinas provincial data. (2021). Chen, Zhe ; Song, Pei ; Wang, Baolu.
    In: Energy Policy.
    RePEc:eee:enepol:v:157:y:2021:i:c:s0301421521003773.

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20. When does eco-efficiency rebound or backfire? An analytical model. (2021). Figge, Frank ; Chenavaz, Régis ; Dimitrov, Stanko.
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:290:y:2021:i:2:p:687-700.

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21. How Large the Direct Rebound Effect for Residential Electricity Consumption When the Artificial Neural Network Takes on the Role? A Taiwan Case Study of Household Electricity Consumption. (2021). Adha, Rishan ; Hong, Cheng-Yih.
    In: International Journal of Energy Economics and Policy.
    RePEc:eco:journ2:2021-03-43.

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