Level Measurement and Obstacle Diagnosis of High-Quality Development of The Construction Industry Empowered by Digital Intelligence
As a fusion application of digital technology and intelligence, digital intellectualization has a great role in promoting economic development and social life change and realizing high-quality development. Based on the panel data of 31 provinces in China from 2012 to 2021, this paper selects indicators from three dimensions: infrastructure conditions of empowerment, subjects of empowerment, and subjects of empowerment, and constructs an evaluation system to measure the level of high-quality development of the construction empowered by digital intelligence and analyze the obstacle factors. It is found that the overall trend of high-quality development level of the digital intelligence-enabled construction industry from 2012 to 2021 is upward, and there is a wide gap in the level of regions, with the south, north, and east areas having a high level of high-quality development of the construction industry empowered by digital intelligence, the center and southwest area having a low to medium level, the northeast and northwest area having a low level. The results of the obstacle degree show that input indicators, output indicators, industrial efficiency, broadband penetration rate, and facility sharing are the main obstacle factors restricting the high-quality development of the construction industry empowered by digital intelligence. In the future, accelerating the high-quality development of the construction industry empowered by digital intelligence should start with strengthening regional collaborative development, providing a good policy environment and resource protection, accelerating the absorption and proliferation of digital intelligence industry technology, and strengthening the sharing of facilities and resources among relevant participants in the construction industry.
Authors
- Yuning Zhu (ORCID: https://orcid.org/0009-0006-3114-2628)
Publication Details
- Journal
- Frontiers in Business Economics and Management
- Published
- 2025-02-21
- DOI
- https://doi.org/10.54097/hrh71m75
- Primary Topic
- Economic and Technological Systems Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00