Items where IIASA Author is "Ma, Tieju"

Wu, M., Ma, T., Zhu, Y., Ren, H. & Fu, L. (2024). The evolution of Traditional Chinese Medicine as recombinant inventions. Proceedings of the National Academy of Sciences 121 (46), e2400812121. 10.1073/pnas.2400812121.

Man, J., Ma, T., Yu, Y. & Ren, H. (2024). Levelized costs and potential production of green hydrogen with wind and solar power in different provinces of mainland China. Journal of Renewable and Sustainable Energy 16 (2) 10.1063/5.0183511.

Luo, Z., Yu, Y., Kharrazi, A. ORCID: https://orcid.org/0000-0002-5881-2568, Fath, B. ORCID: https://orcid.org/0000-0001-9440-6842, Matsubae, K., Liang, S., Chen, D., Zhu, B. ORCID: https://orcid.org/0000-0002-2890-7523, Ma, T. & Hu, S. (2024). Decreasing resilience of China’s coupled nitrogen–phosphorus cycling network requires urgent action. Nature Food 5, 48-58. 10.1038/s43016-023-00889-5.

Miao, H., Yu, Y., Kharrazi, A. ORCID: https://orcid.org/0000-0002-5881-2568 & Ma, T. (2023). Multi-criteria decision analysis for the planning of island microgrid system: A case study of Yongxing island, China. Energy 284, e129264. 10.1016/j.energy.2023.129264.

Zhang, S., Yu, Y., Kharrazi, A. ORCID: https://orcid.org/0000-0002-5881-2568 & Ma, T. (2023). How would sustainable transformations in the electricity sector of megacities impact employment levels? A case study of Beijing. Energy 270, e126862. 10.1016/j.energy.2023.126862.

Ding, B., Makowski, M. ORCID: https://orcid.org/0000-0002-6107-0972, Zhao, J., Ren, H., Zakeri, B. ORCID: https://orcid.org/0000-0001-9647-2878 & Ma, T. (2023). Analysis of technology pathway of China's liquid fuel production with consideration of energy supply security and carbon price. Journal of Management Science and Engineering 8 (1), 1-14. 10.1016/j.jmse.2022.07.002.

Ding, B., Makowski, M. ORCID: https://orcid.org/0000-0002-6107-0972, Nahorski, Z., Ren, H. & Ma, T. (2022). Optimizing the technology pathway of China's liquid fuel production considering uncertain oil prices: A robust programming model. Energy Economics 115, e106371. 10.1016/j.eneco.2022.106371.

Zhang, S., Yu, Y., Kharrazi, A. ORCID: https://orcid.org/0000-0002-5881-2568, Ren, H. & Ma, T. (2022). How can structural change contribute to concurrent sustainability policy targets on GDP, emissions, energy, and employment in China? Energy 256, e124614. 10.1016/j.energy.2022.124614.

Qiu, X., Zhao, J., Yu, Y. & Ma, T. (2022). Levelized costs of the energy chains of new energy vehicles targeted at carbon neutrality in China. Frontiers of Engineering Management 9 (3), 392-408. 10.1007/s42524-022-0212-6.

Zhao, J., Yu, Y., Ren, H., Makowski, M. ORCID: https://orcid.org/0000-0002-6107-0972, Granat, J., Nahorski, Z. & Ma, T. (2022). How the power-to-liquid technology can contribute to reaching carbon neutrality of the China's transportation sector? Energy 261, e125058. 10.1016/j.energy.2022.125058.

Zhang, S., Yu, Y., Kharrazi, A. ORCID: https://orcid.org/0000-0002-5881-2568, Ren, H. & Ma, T. (2022). Quantifying the synergy and trade-offs among economy–energy–environment–social targets: A perspective of industrial restructuring. Journal of Environmental Management 316, e115285. 10.1016/j.jenvman.2022.115285.

Zhao, J., Zhou, L., Zhou, W., Ren, H., Yu, Y., Wang, F. & Ma, T. (2021). Techno-economic analysis and comparison of coal-based chemical technologies with consideration of water resources scarcity. Energy Strategy Reviews 38, e100754. 10.1016/j.esr.2021.100754.

Ren, H., Zhou, W., Wang, H., Zhang, B. & Ma, T. (2021). An energy system optimization model accounting for the interrelations of multiple stochastic energy prices. Annals of Operations Research 10.1007/s10479-021-04229-3.

Chen, H. & Ma, T. (2021). Technology adoption and carbon emissions with dynamic trading among heterogeneous agents. Energy Economics 99, e105263. 10.1016/j.eneco.2021.105263.

Ren, H., Zhou, W., Makowski, M. ORCID: https://orcid.org/0000-0002-6107-0972, Yan, H., Yu, Y. & Ma, T. (2021). Incorporation of life cycle emissions and carbon price uncertainty into the supply chain network management of PVC production. Annals of Operations Research 300, 601-620. 10.1007/s10479-019-03365-1.

Fang, C. & Ma, T. (2021). Technology adoption with carbon emission trading mechanism: modeling with heterogeneous agents and uncertain carbon price. Annals of Operations Research 300, 577-600. 10.1007/s10479-019-03297-w.

Zhang, S., Kharrazi, A. ORCID: https://orcid.org/0000-0002-5881-2568, Yu, Y., Ren, H., Hong, L. & Ma, T. (2021). What causes spatial carbon inequality? Evidence from China’s Yangtze River economic Belt. Ecological Indicators 121, e107129. 10.1016/j.ecolind.2020.107129.

Liu, J., Grubler, A. ORCID: https://orcid.org/0000-0002-7814-4990, Ma, T. & Kogler, D.F. (2021). Identifying the technological knowledge depreciation rate using patent citation data: a case study of the solar photovoltaic industry. Scientometrics 126 (1), 93-115. 10.1007/s11192-020-03740-x.

Fang, C. & Ma, T. (2020). Stylized agent-based modeling on linking emission trading systems and its implications for China's practice. Energy Economics 92, e104916. 10.1016/j.eneco.2020.104916.

Liang, S., Yu, Y., Kharrazi, A. ORCID: https://orcid.org/0000-0002-5881-2568, Fath, B. ORCID: https://orcid.org/0000-0001-9440-6842, Feng, C., Daigger, G.T., Chen, S., Ma, T., Zhu, B. ORCID: https://orcid.org/0000-0002-2890-7523, Mi, Z. & Yang, Z. (2020). Network resilience of phosphorus cycling in China has shifted by natural flows, fertilizer use and dietary transitions between 1600 and 2012. Nature Food 1 (6), 365-375. 10.1038/s43016-020-0098-6.

Xu, Z., Fang, C. & Ma, T. (2020). Analysis of China's olefin industry using a system optimization model considering technological learning and energy consumption reduction. Energy 191, e116462. 10.1016/j.energy.2019.116462.

Zhang, Y., Ma, T. & Guo, F. ORCID: https://orcid.org/0000-0001-6415-8083 (2018). A multi-regional energy transport and structure model for China’s electricity system. Energy 161, 907-919. 10.1016/j.energy.2018.07.133.

Zhang, Y., Yu, Y. & Ma, T. (2018). System optimization of long-distance energy transportation in China using ultra-high-voltage power transmission. Journal of Renewable and Sustainable Energy 10 (4), e045503. 10.1063/1.5013177.

Zhang, S. ORCID: https://orcid.org/0000-0003-2487-8574, Ren, H., Zhou, W., Yu, Y., Ma, T. & Chen, C. (2018). Assessing air pollution abatement co-benefits of energy efficiency improvement in cement industry: A city level analysis. Journal of Cleaner Production 185, 761-771. 10.1016/j.jclepro.2018.02.293.

Shen, F. & Ma, T. (2018). A methodology to position nations’ efforts in a technology domain with a patent network analysis: case of the electric vehicle domain. Technology Analysis & Strategic Management 30 (9), 1084-1104. 10.1080/09537325.2018.1442571.

Fang, C. & Ma, T. (2018). Technology Adoption Optimization with Heterogeneous Agents and Carbon Emission Trading Mechanism. In: Integrated Uncertainty in Knowledge Modelling and Decision Making. Eds. Huynh, V.N., Inuiguchi, M., Tran, D. & Denoeux, T., pp. 238-249 Cham, Switzerland: Springer. ISBN 978-3-319-75429-1 10.1007/978-3-319-75429-1_20.

Yu, Y., Zhou, L., Zhou, W., Ren, H., Kharrazi, A. ORCID: https://orcid.org/0000-0002-5881-2568, Ma, T. & Zhu, B. ORCID: https://orcid.org/0000-0002-2890-7523 (2017). Decoupling environmental pressure from economic growth on city level: The Case Study of Chongqing in China. Ecological Indicators 75, 27-35. 10.1016/j.ecolind.2016.12.027.

Chen, H. & Ma, T. (2017). Optimizing systematic technology adoption with heterogeneous agents. European Journal of Operational Research 257 (1), 287-296. 10.1016/j.ejor.2016.07.007.

Shchiptsova, A., Zhao, J., Grubler, A. ORCID: https://orcid.org/0000-0002-7814-4990, Kryazhimskiy, A. & Ma, T. (2016). Assessing historical realibility of the agent-based model of the global energy system. Journal of Systems Science and Systems Engineering 25 (3), 326-350. 10.1007/s11518-016-5303-7.

Zhao, J. & Ma, T. (2016). Optimizing the initial setting of complex adaptive systems-optimizing the layout of initial AFVs stations for maximizing the diffusion of AFVs. Complexity 21 (1), 275-290. 10.1002/cplx.21742.

Zhao, J. & Ma, T. (2016). Optimizing layouts of initial AFV refueling stations targeting different drivers, and experiments with agent-based simulations. European Journal of Operational Research 249 (2), 706-716. 10.1016/j.ejor.2015.08.065.

Zhao, J. & Ma, T. (2016). Optimizing layouts of initial refueling stations for alternative-fuel vehicles and experiments with agent-based simulations. Simulation 92 (3), 251-266. 10.1177/0037549716629726.

Zhang, Y., Chen, H. & Ma, T. (2016). System optimization model of adoption of a new infrastructure with multi-resource and multi-demand sites. Journal of Systems Science and Systems Engineering 25 (1), 62-76. 10.1007/s11518-016-5302-8.

Yu, Y., Ren, H., Kharrazi, A. ORCID: https://orcid.org/0000-0002-5881-2568, Ma, T. & Zhu, B. ORCID: https://orcid.org/0000-0002-2890-7523 (2015). Exploring socioeconomic drivers of environmental pressure on the city level: The case study of Chongqing in China. Ecological Economics 118, 123-131. 10.1016/j.ecolecon.2015.07.019.

Ma, T. (2015). Adoption of an emerging infrastructure with uncertain technological learning and spatial reconfiguration. European Journal of Operational Research 243 (3), 995-1003. 10.1016/j.ejor.2014.12.026.

Ma, T. (2015). Comparing Countries’/Areas’ Productive Knowledge with International Trade Data. In: KSS'2014. Proceedings of the 15th International Symposium on Knowledge and Systems Science. Eds. Wang, S., Nakamori, Z. & Huynh, V.N., pp. 111-116 Japan: JAIST Press. ISBN 978-4-903092-39-3

Chen, H. & Ma, T. (2014). Technology adoption with limited foresight and uncertain technological learning. European Journal of Operational Research 239 (1), 266-275. 10.1016/j.ejor.2014.03.031.

Ma, T., Zhao, J., Xiang, S., Zhu, Y. & Liu, P. (2014). An agent-based training system for optimizing the layout of AFVs' initial filling stations. Journal of Artificial Societies and Social Simulation 17 (4), p. 6.

Ma, T., Zhu, Y., Liu, P. & Chi, C. (2014). A simulation method to generate commute trips-for agent-based modeling on co-diffusion of alternative fuel vehicles and their filling stations. Simulation : Transactions of the Society for Modeling and Simulation International 90 (5), 560-569. 10.1177/0037549714530780.

Chi, C., Ma, T. & Zhu, B. ORCID: https://orcid.org/0000-0002-2890-7523 (2012). Towards a low-carbon economy: Coping with technological bifurcations with a carbon tax. Energy Economics 34 (3), 2081-2088. 10.1016/j.eneco.2012.02.011.

Yan, J., Ma, T. & Nakamori, Y. (2011). Exploring the triple helix of academia-industry-government for supporting roadmapping in academia. International Journal of Management and Decision Making 11 (3), 249-267. 10.1504/IJMDM.2011.040702.

Zhou, W., Zhu, B. ORCID: https://orcid.org/0000-0002-2890-7523, Li, Q., Ma, T., Hu, S. & Griffy-Brown, C. (2010). CO2 emissions and mitigation potential in China's ammonia industry. Energy Policy 38 (7), 3701-3709. 10.1016/j.enpol.2010.02.048.

Nie, K., Lin, S., Ma, T. & Nakamori, Y. (2010). Connecting informal networks to management of tacit knowledge. Journal of Systems Science and Systems Engineering 19 (2), 237-253. 10.1007/s11518-010-5130-1.

Ma, T. & Nakamori, Y. (2009). Modeling technological change in energy systems -- From optimization to agent-based modeling. Energy 34 (7), 873-879. 10.1016/j.energy.2009.03.005.

Ma, T., Grubler, A. ORCID: https://orcid.org/0000-0002-7814-4990 & Nakamori, Y. (2009). Modeling technology adoptions for sustainable development under increasing returns, uncertainty, and heterogeneous agents. European Journal of Operational Research 195 (1), 296-306. 10.1016/j.ejor.2008.01.036.

Ma, T. (2009). Can we Move to a Low Carbon Economy with Little Costs? A View from the Perspective of Uncertain Endogenous Technological Change. Conference presentation: CSM'2009: 22nd Workshop on Methodologies and Tools for Complex System Modeling, 31 August - 2 September 2009, IIASA, Laxenburg, Austria

Ma, T. & Nakamori, Y. (2008). Modeling uncertainties of technological learning with stochastic optimization. In: Proceedings, 9th International Symposium on Knowledge and Systems Sciences, 11-12 December.

Zhang, L., Nie, G., Ma, T., Liu, F. & Shi, Y. (2008). An intelligent process-oriented knowledge management system between human, process and knowledge. In: Proceedings, 9th International Symposium on Knowledge and Systems Sciences, 11-12 December.

Ma, T. & Nakamori, Y. (2008). Coping with uncertainties in endogenous technological change models. Workshop presentaion, IFIP WG 7.6 Workshop on Modelling and decision support for network-based services, 1-3 September 2008, Warsaw, Poland

Ma, T., Grubler, A. ORCID: https://orcid.org/0000-0002-7814-4990, Nakicenovic, N. ORCID: https://orcid.org/0000-0001-7176-4604 & Arthur, W.B. (2008). Technologies as agents of change: A simulation model of the evolving complexity of the global energy system. IIASA Interim Report. IIASA, Laxenburg, Austria: IR-08-021

Ma, T. & Grubler, A. ORCID: https://orcid.org/0000-0002-7814-4990 (2008). The evolution of technological complexity: An agent-based simulation model of the global energy system. In: Modeling Environment-Improving Technological Innovations under Uncertainty. Eds. Golub, A.A. & Markandya, A., pp. 205-244 London, UK: Routledge. ISBN 978-0-415-46376-8

Nie, K., Ma, T. & Nakamori, Y. (2007). Building a taxonomy for understanding knowledge management. Electronic Journal of Knowledge Management 5 (4), 453-466.

Ma, T., Wierzbicki, A.P. & Nakamori, Y. (2007). Establish a creative environment for roadmapping in academy - From the perspective of i-system methodology. Journal of Systems Science and Systems Engineering 16 (4), 469-488. 10.1007/s11518-007-5047-5.

Ma, T., Wierzbicki, A. & Nakamori, Y. (2007). Establish a creative environment for roadmapping in academy—From the perspective of i-system methodology. Journal of Systems Science and Systems Engineering 16 (4), 469-488. 10.1007/s11518-007-5047-5.

Ma, T. & Nakamori, Y. (2007). Agent-based simulation for Kansei Engineering: Testing a fuzzy linear quantification method in an artificial world. Journal of Systems Science and Systems Engineering 16 (3), 308-322. 10.1007/s11518-007-5055-5.

Ma, T. & Nakamori, Y. (2007). Agent-based modeling and simulation on network externality and knowledge strategy. International Journal of Knowledge and Systems Sciences 4 (1), 25-30.

Ma, T., Yan, J., Nakamori, Y. & Wierzbicki, A.P. (2007). Creativity Support for Roadmapping. In: Creative Environments: Issues of Creativity Support for the Knowledge Civilization Age. Eds. Wierzbicki, A. & Nakamori, Y., pp. 155-189 Springer. ISBN 978-3-540-71466-8 10.1007/978-3-540-71562-7_7.

Makowski, M. ORCID: https://orcid.org/0000-0002-6107-0972 (2007). Rational governance of conflicting goals, uncertainties and risks. In: Proceedings of the 2007 IEEE International Conference on Systems, Man and Cybernetics, 7-10 October 2007.

Ma, T., Yan, Y. & Nakamori, Y. (2007). Roadmapping and i-systems. In: Computational Science - ICCS 2007. Eds. Shi, Y., Aldaba, G.D. van, Dongara, J. & Sloot, P.M.A., Germany pp.1-8 (2007): Springer Berlin/Heidelberg. ISBN 978-3-540-72589-3 10.1007/978-3-540-72590-9_1.

Ma, T. (2006). An Agent-Based Model of Endogenous Technological Change -- An Extension to the Grubler-Gritsevskyi Model. IIASA Interim Report. IIASA, Laxenburg, Austria: IR-06-044

Ma, T., Liu, S. & Nakamori, Y. (2006). Roadmapping as a way of knowledge management for supporting scientific research in academia. Systems Research and Behavioral Science 23 (6), 743-755. 10.1002/sres.708.

Ma, T., Nakamori, Y. & Huang, W. (2006). An agent-based approach for predictions based on multi-dimensional complex data. Information Sciences 176 (9), 1156-1174. 10.1016/j.ins.2005.07.011.

Ma, T. (2006). Modeling endogenous uncertain technological change with heterogeneous agents. In: Proceedings of the 3rd International Symposium on Systems & Human Science: Complex Systems Approaches for Safety, Security and Reliability (SSR 2006), 6-8 March 2006.

Ma, T. (2005). Modeling endogenous technological change with heterogeneous agents. In: Proceedings of the 1st World Congress of the International Federation for Systems Research, 14-17 November 2005.

Ma, T. (2005). Modeling technology transitions under increasing returns, uncertainty, and heterogeneous agents. In: Proceedings of the 6th International Symposium on Knowledge and Systems Sciences, 29-31 August 2005.

Ma, T. & Nakamori, Y. (2005). Roadmapping and i-systems for supporting scientific research. International Journal of Knowledge and Systems Sciences 2 (1), 66-72.

Makowski, M. ORCID: https://orcid.org/0000-0002-6107-0972 (2004). Modeling web for knowledge integration and creation. In: KSS'2004 JAIST: Proceedings of the Fifth International Symposium on Knowledge and Systems Sciences.