Mathematical problems arising in recognizing the data value chain efficiency
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Organizer(s): |
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Affiliation:
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Country:
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Zhenghui Li
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Guangzhou University
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Peoples Rep of China
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Zhehao Huang
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Guangzhou University
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Peoples Rep of China
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Introduction:
| | Data has the dual attributes of basic strategic resources and key production factors. Data efficiency is not only reflected in the various chains of data creation and data flow, but also strongly relevant to the data factor market. The design of data factor market is based on the effective use of data. Many problems in data value chain should be focused on. For instance, recognizing expected efficiency of data value chain in various fields; the integration degree of data value chain with various industrial chains; measuring efficiency for multi chains; new landscape of global data value chain; data ecological governance and data value chain efficiency improvement path, and so forth. There are some mathmatical problems arising in the study of data value chain efficiency. The input-output models are widely applied in this field. This session aims to provide a platfotm for discussing how to use more mathematical methods and techniques to solve problems arising in the study of data value chain efficiency.
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List of abstracts and speakers |
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