<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Studying regional differences in the market-based allocation of data factors can help promote the development of data factor markets in China. This paper establishes a market-based allocation framework for data factors and analyzes the economic characteristics and market-based classification of data factors to explain the market-based framework. On this basis, a data factor market-based allocation efficiency measurement model is established based on network DEA with additional intermediate inputs to calculate the stage and overall market-based allocation efficiency of 30 Chinese provinces and cities with available data from 2019 to 2020, while the Malmquist index reflecting the inter-period dynamic changes is analyzed. The measured average values of market-based allocation efficiency of data factors in 2020 in the eastern, central, and western regions of China are 0.714, 0.515, and 0.362, all exceeding the average value in 2019, and improving by 12.43%, 15.67%, and 17.38% year-on-year, respectively. The average value of market-based allocation efficiency of data factors in 2019~2020 is 0.80, and above in six provincial. There are 6 administrative districts. 19 provinces have a Malmquist index of market-based allocation of data elements greater than 1 in 2020, accounting for 63.37%. In the era of the digital economy, provinces should actively formulate high-standard data factor market cultivation and development plans to ensure that data factors become basic and strategic resources for each province, empowering high-quality economic development.</p>
</abstract>

Studying regional differences in the market-based allocation of data factors can help promote the development of data factor markets in China. This paper establishes a market-based allocation framework for data factors and analyzes the economic characteristics and market-based classification of data factors to explain the market-based framework. On this basis, a data factor market-based allocation efficiency measurement model is established based on network DEA with additional intermediate inputs to calculate the stage and overall market-based allocation efficiency of 30 Chinese provinces and cities with available data from 2019 to 2020, while the Malmquist index reflecting the inter-period dynamic changes is analyzed. The measured average values of market-based allocation efficiency of data factors in 2020 in the eastern, central, and western regions of China are 0.714, 0.515, and 0.362, all exceeding the average value in 2019, and improving by 12.43%, 15.67%, and 17.38% year-on-year, respectively. The average value of market-based allocation efficiency of data factors in 2019~2020 is 0.80, and above in six provincial. There are 6 administrative districts. 19 provinces have a Malmquist index of market-based allocation of data elements greater than 1 in 2020, accounting for 63.37%. In the era of the digital economy, provinces should actively formulate high-standard data factor market cultivation and development plans to ensure that data factors become basic and strategic resources for each province, empowering high-quality economic development.

A Regionalization Study of Market-Based Allocation of Data Factors in China

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"A Regionalization Study of Market-Based Allocation of Data Factors in China"}

Studying regional differences in the market-based allocation of data factors can help promote the development of data factor markets in China. This paper...

A Regionalization Study of Market-Based Allocation of Data Factors in China

Published Online: Aug 16, 2023

Page range: -

Received: Oct 17, 2022

Accepted: Feb 24, 2023

DOI: https://doi.org/10.2478/amns.2023.2.00192

Keywords
Data elements, Market-based allocation, Network DEA model, Malmquist index, Economic Characteristics

© 2023 Dongyang Dai et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

A Regionalization Study of Market-Based Allocation of Data Factors in China

Published Online: Aug 16, 2023

Page range: -

Received: Oct 17, 2022

Accepted: Feb 24, 2023

DOI: https://doi.org/10.2478/amns.2023.2.00192

KeywordsData elements, Market-based allocation, Network DEA model, Malmquist index, Economic Characteristics

© 2023 Dongyang Dai et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
Data elements, Market-based allocation, Network DEA model, Malmquist index, Economic Characteristics