Impacts of BIM policy on the technological progress in the Architecture, Engineering, and Construction (AEC) industry: evidence from China
Building Information Modeling (BIM) technology is increasingly crucial in the digital transformation of the Architecture, Engineering, and Construction (AEC) industry. Evaluating the effectiveness of BIM technology policies is essential for advancing the industry’s digital innovation. A quasi-natura...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-11-01
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| Series: | Journal of Asian Architecture and Building Engineering |
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| Online Access: | http://dx.doi.org/10.1080/13467581.2023.2278888 |
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| _version_ | 1846166750690803712 |
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| author | Yonghong Chen Yufan Yang Lan Luo Chenyongjun Ding |
| author_facet | Yonghong Chen Yufan Yang Lan Luo Chenyongjun Ding |
| author_sort | Yonghong Chen |
| collection | DOAJ |
| description | Building Information Modeling (BIM) technology is increasingly crucial in the digital transformation of the Architecture, Engineering, and Construction (AEC) industry. Evaluating the effectiveness of BIM technology policies is essential for advancing the industry’s digital innovation. A quasi-natural experiment was conducted using panel data from 30 provinces in China between 2007 and 2017 to analyze the impact of BIM technology policy on the AEC industry’s technological progress from the perspective of innovation diffusion. The technological change index (TCH) of each province was calculated using the DEA-Malmquist model. The impact of BIM technology policy on technological progress in the AEC industry was analyzed using a time-varying difference-in-differences (DID) approach. The study found that BIM technology policy significantly affects technological progress in the AEC industry. The mediating effect model shows that the influence path of “BIM policy →BIM technology innovation diffusion → technological progress” is verified. The impact of policies on technological progress varies in different regions, and the higher the level of development of a region, the more it can benefit from BIM technology policies. This paper aims to share China’s experience for BIM policy formulation and implementation, and provide suggestions for promoting the high-quality development of the international AEC industry. |
| format | Article |
| id | doaj-art-5d75d5a14be449ad849a53ae5caadc89 |
| institution | Kabale University |
| issn | 1347-2852 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Asian Architecture and Building Engineering |
| spelling | doaj-art-5d75d5a14be449ad849a53ae5caadc892024-11-15T10:36:00ZengTaylor & Francis GroupJournal of Asian Architecture and Building Engineering1347-28522024-11-012361997201110.1080/13467581.2023.22788882278888Impacts of BIM policy on the technological progress in the Architecture, Engineering, and Construction (AEC) industry: evidence from ChinaYonghong Chen0Yufan Yang1Lan Luo2Chenyongjun Ding3Kunming University of Science and TechnologyKunming University of Science and TechnologyNanchang UniversityKunming University of Science and TechnologyBuilding Information Modeling (BIM) technology is increasingly crucial in the digital transformation of the Architecture, Engineering, and Construction (AEC) industry. Evaluating the effectiveness of BIM technology policies is essential for advancing the industry’s digital innovation. A quasi-natural experiment was conducted using panel data from 30 provinces in China between 2007 and 2017 to analyze the impact of BIM technology policy on the AEC industry’s technological progress from the perspective of innovation diffusion. The technological change index (TCH) of each province was calculated using the DEA-Malmquist model. The impact of BIM technology policy on technological progress in the AEC industry was analyzed using a time-varying difference-in-differences (DID) approach. The study found that BIM technology policy significantly affects technological progress in the AEC industry. The mediating effect model shows that the influence path of “BIM policy →BIM technology innovation diffusion → technological progress” is verified. The impact of policies on technological progress varies in different regions, and the higher the level of development of a region, the more it can benefit from BIM technology policies. This paper aims to share China’s experience for BIM policy formulation and implementation, and provide suggestions for promoting the high-quality development of the international AEC industry.http://dx.doi.org/10.1080/13467581.2023.2278888bim policyaec industrytechnological progressinnovation diffusion theorytime-varying difference-in-differences model |
| spellingShingle | Yonghong Chen Yufan Yang Lan Luo Chenyongjun Ding Impacts of BIM policy on the technological progress in the Architecture, Engineering, and Construction (AEC) industry: evidence from China Journal of Asian Architecture and Building Engineering bim policy aec industry technological progress innovation diffusion theory time-varying difference-in-differences model |
| title | Impacts of BIM policy on the technological progress in the Architecture, Engineering, and Construction (AEC) industry: evidence from China |
| title_full | Impacts of BIM policy on the technological progress in the Architecture, Engineering, and Construction (AEC) industry: evidence from China |
| title_fullStr | Impacts of BIM policy on the technological progress in the Architecture, Engineering, and Construction (AEC) industry: evidence from China |
| title_full_unstemmed | Impacts of BIM policy on the technological progress in the Architecture, Engineering, and Construction (AEC) industry: evidence from China |
| title_short | Impacts of BIM policy on the technological progress in the Architecture, Engineering, and Construction (AEC) industry: evidence from China |
| title_sort | impacts of bim policy on the technological progress in the architecture engineering and construction aec industry evidence from china |
| topic | bim policy aec industry technological progress innovation diffusion theory time-varying difference-in-differences model |
| url | http://dx.doi.org/10.1080/13467581.2023.2278888 |
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