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Rishan Adha

Personal Details

First Name:Rishan
Middle Name:
Last Name:Adha
Suffix:
RePEc Short-ID:pad287
[This author has chosen not to make the email address public]

Affiliation

(50%) Universitas Muhammadiyah Mataram, Fakultas Ilmu Sosial dan Politik


https://fisipol.ummat.ac.id/
Indonesia, Mataram

Research output

as
Jump to: Working papers Articles

Working papers

  1. Adha, Rishan & Hong, Cheng-Yih & Agrawal, Somya & Li, Li-Hua, 2021. "ICT, carbon emissions, climate change, and energy demand nexus: the potential benefit of digitalization in Taiwan," MPRA Paper 113009, University Library of Munich, Germany, revised 01 Feb 2022.
  2. Adha, Rishan & Hong, Cheng-Yih & Firmansyah, M. & Paranata, Ade, 2021. "Rebound effect with energy efficiency determinants: a two-stage analysis of residential electricity consumption in Indonesia," MPRA Paper 110444, University Library of Munich, Germany.

Articles

  1. Rishan Adha & Cheng-Yih Hong & Somya Agrawal & Li-Hua Li, 2023. "ICT, carbon emissions, climate change, and energy demand nexus: The potential benefit of digitalization in Taiwan," Energy & Environment, , vol. 34(5), pages 1619-1638, August.
  2. Syamsiyatul Muzayyanah & Cheng-Yih Hong & Rishan Adha & Su-Fen Yang, 2023. "The Non-Linear Relationship between Air Pollution, Labor Insurance and Productivity: Multivariate Adaptive Regression Splines Approach," Sustainability, MDPI, vol. 15(12), pages 1-20, June.
  3. Yuo-Hsien Shiau & Su-Fen Yang & Rishan Adha & Syamsiyatul Muzayyanah, 2022. "Modeling Industrial Energy Demand in Relation to Subsector Manufacturing Output and Climate Change: Artificial Neural Network Insights," Sustainability, MDPI, vol. 14(5), pages 1-18, March.
  4. Rishan Adha & Cheng-Yih Hong, 2021. "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," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 354-364.
  5. Yu-Chen Yang & Cheng-Yih Hong & Syamsiyatul Muzayyanah & Rishan Adha, 2020. "Decomposition of Growth Factors in High-tech Industries and CO2 Emissions: After the World Financial Crisis in 2008," International Journal of Energy Economics and Policy, Econjournals, vol. 10(4), pages 500-506.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Adha, Rishan & Hong, Cheng-Yih & Agrawal, Somya & Li, Li-Hua, 2021. "ICT, carbon emissions, climate change, and energy demand nexus: the potential benefit of digitalization in Taiwan," MPRA Paper 113009, University Library of Munich, Germany, revised 01 Feb 2022.

    Cited by:

    1. Melike E. Bildirici & Rui Alexandre Castanho & Fazıl Kayıkçı & Sema Yılmaz Genç, 2022. "ICT, Energy Intensity, and CO 2 Emission Nexus," Energies, MDPI, vol. 15(13), pages 1-15, June.
    2. Ying Yan & Ridwan Lanre Ibrahim & Mamdouh Abdulaziz Saleh Al-Faryan & David Mautin Oke, 2023. "Embracing Eco-Digitalization and Green Finance Policies for Sustainable Environment: Do the Engagements of Multinational Corporations Make or Mar the Target for Selected MENA Countries?," Sustainability, MDPI, vol. 15(15), pages 1-18, August.
    3. Lin, Boqiang & Huang, Chenchen, 2023. "Nonlinear relationship between digitization and energy efficiency: Evidence from transnational panel data," Energy, Elsevier, vol. 276(C).

  2. Adha, Rishan & Hong, Cheng-Yih & Firmansyah, M. & Paranata, Ade, 2021. "Rebound effect with energy efficiency determinants: a two-stage analysis of residential electricity consumption in Indonesia," MPRA Paper 110444, University Library of Munich, Germany.

    Cited by:

    1. Rishan Adha & Cheng-Yih Hong & Somya Agrawal & Li-Hua Li, 2023. "ICT, carbon emissions, climate change, and energy demand nexus: The potential benefit of digitalization in Taiwan," Energy & Environment, , vol. 34(5), pages 1619-1638, August.
    2. Yuo-Hsien Shiau & Su-Fen Yang & Rishan Adha & Syamsiyatul Muzayyanah, 2022. "Modeling Industrial Energy Demand in Relation to Subsector Manufacturing Output and Climate Change: Artificial Neural Network Insights," Sustainability, MDPI, vol. 14(5), pages 1-18, March.
    3. Karakurt, Izzet & Aydin, Gokhan, 2023. "Development of regression models to forecast the CO2 emissions from fossil fuels in the BRICS and MINT countries," Energy, Elsevier, vol. 263(PA).
    4. Jun Liu & Yu Qian & Yuanjun Yang & Zhidan Yang, 2022. "Can Artificial Intelligence Improve the Energy Efficiency of Manufacturing Companies? Evidence from China," IJERPH, MDPI, vol. 19(4), pages 1-18, February.

Articles

  1. Rishan Adha & Cheng-Yih Hong & Somya Agrawal & Li-Hua Li, 2023. "ICT, carbon emissions, climate change, and energy demand nexus: The potential benefit of digitalization in Taiwan," Energy & Environment, , vol. 34(5), pages 1619-1638, August.
    See citations under working paper version above.
  2. Yuo-Hsien Shiau & Su-Fen Yang & Rishan Adha & Syamsiyatul Muzayyanah, 2022. "Modeling Industrial Energy Demand in Relation to Subsector Manufacturing Output and Climate Change: Artificial Neural Network Insights," Sustainability, MDPI, vol. 14(5), pages 1-18, March.

    Cited by:

    1. Rishan Adha & Cheng-Yih Hong & Somya Agrawal & Li-Hua Li, 2023. "ICT, carbon emissions, climate change, and energy demand nexus: The potential benefit of digitalization in Taiwan," Energy & Environment, , vol. 34(5), pages 1619-1638, August.
    2. Akshansh Mishra & Anish Dasgupta, 2022. "Supervised and Unsupervised Machine Learning Algorithms for Forecasting the Fracture Location in Dissimilar Friction-Stir-Welded Joints," Forecasting, MDPI, vol. 4(4), pages 1-11, September.
    3. Syamsiyatul Muzayyanah & Cheng-Yih Hong & Rishan Adha & Su-Fen Yang, 2023. "The Non-Linear Relationship between Air Pollution, Labor Insurance and Productivity: Multivariate Adaptive Regression Splines Approach," Sustainability, MDPI, vol. 15(12), pages 1-20, June.

  3. Rishan Adha & Cheng-Yih Hong, 2021. "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," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 354-364.

    Cited by:

    1. Rishan Adha & Cheng-Yih Hong & Somya Agrawal & Li-Hua Li, 2023. "ICT, carbon emissions, climate change, and energy demand nexus: The potential benefit of digitalization in Taiwan," Energy & Environment, , vol. 34(5), pages 1619-1638, August.
    2. Yuo-Hsien Shiau & Su-Fen Yang & Rishan Adha & Syamsiyatul Muzayyanah, 2022. "Modeling Industrial Energy Demand in Relation to Subsector Manufacturing Output and Climate Change: Artificial Neural Network Insights," Sustainability, MDPI, vol. 14(5), pages 1-18, March.
    3. Syamsiyatul Muzayyanah & Cheng-Yih Hong & Rishan Adha & Su-Fen Yang, 2023. "The Non-Linear Relationship between Air Pollution, Labor Insurance and Productivity: Multivariate Adaptive Regression Splines Approach," Sustainability, MDPI, vol. 15(12), pages 1-20, June.
    4. Adha, Rishan & Hong, Cheng-Yih & Firmansyah, M. & Paranata, Ade, 2021. "Rebound effect with energy efficiency determinants: a two-stage analysis of residential electricity consumption in Indonesia," MPRA Paper 110444, University Library of Munich, Germany.

  4. Yu-Chen Yang & Cheng-Yih Hong & Syamsiyatul Muzayyanah & Rishan Adha, 2020. "Decomposition of Growth Factors in High-tech Industries and CO2 Emissions: After the World Financial Crisis in 2008," International Journal of Energy Economics and Policy, Econjournals, vol. 10(4), pages 500-506.

    Cited by:

    1. Rishan Adha & Cheng-Yih Hong & Somya Agrawal & Li-Hua Li, 2023. "ICT, carbon emissions, climate change, and energy demand nexus: The potential benefit of digitalization in Taiwan," Energy & Environment, , vol. 34(5), pages 1619-1638, August.
    2. Yuo-Hsien Shiau & Su-Fen Yang & Rishan Adha & Syamsiyatul Muzayyanah, 2022. "Modeling Industrial Energy Demand in Relation to Subsector Manufacturing Output and Climate Change: Artificial Neural Network Insights," Sustainability, MDPI, vol. 14(5), pages 1-18, March.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ENE: Energy Economics (2) 2021-12-20 2022-06-20. Author is listed
  2. NEP-EFF: Efficiency and Productivity (1) 2021-12-20. Author is listed
  3. NEP-ENV: Environmental Economics (1) 2022-06-20. Author is listed
  4. NEP-ICT: Information and Communication Technologies (1) 2022-06-20. Author is listed
  5. NEP-SEA: South East Asia (1) 2021-12-20. Author is listed

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