Higher education and digital Economy: Analysis of their coupling coordination with the Yangtze River economic Belt in China as the example
Analyzing the coupling coordination interactions of higher education (HE) and digital economy (DE) to achieve sustainable growth is crucial. Thus, we constructed the coupling coordination interaction mechanism and the comprehensive evaluation system of the two subsystems to measure their coordinatio...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-10-01
|
| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X23006520 |
| _version_ | 1797683168773406720 |
|---|---|
| author | Yuqing Geng Lingyan Chen Jianyi Li Kashif Iqbal |
| author_facet | Yuqing Geng Lingyan Chen Jianyi Li Kashif Iqbal |
| author_sort | Yuqing Geng |
| collection | DOAJ |
| description | Analyzing the coupling coordination interactions of higher education (HE) and digital economy (DE) to achieve sustainable growth is crucial. Thus, we constructed the coupling coordination interaction mechanism and the comprehensive evaluation system of the two subsystems to measure their coordination interactions; then, we processed the temporal-spatial analysis of the development status and the coupling coordination degree (CCD) in the case of China. Furthermore, we used the gray correlation model to determine the primary influencing factors and proposed differentiated policymaking suggestions. We found that: (1) the development status of higher education (HE-D) was more stable than that of the digital economy (DE-D), which showed a slight upward trend; besides, there were noticeable spatial differences for HE-D and DE-D. (2) The temporal changes of CCD were not noticeable. (3) Expenditure on research activities in HE and the number of patents were the significant factors affecting DE; the popularity rate of mobile phones and the number of employees in the DE industry were the significant factors affecting HE; besides, HE's output benefits and DE's input was more influential in the coordination relations. Furthermore, we also put forward targeted, specific, and differentiated policymaking suggestions, which can guide policymakers to formulate regional sustainable development policies. |
| first_indexed | 2024-03-12T00:11:36Z |
| format | Article |
| id | doaj.art-e6940af3780241e7bd0d6d347d99f06d |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-03-12T00:11:36Z |
| publishDate | 2023-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-e6940af3780241e7bd0d6d347d99f06d2023-09-16T05:29:08ZengElsevierEcological Indicators1470-160X2023-10-01154110510Higher education and digital Economy: Analysis of their coupling coordination with the Yangtze River economic Belt in China as the exampleYuqing Geng0Lingyan Chen1Jianyi Li2Kashif Iqbal3School of Business, Shanghai Dianji University, Shanghai, ChinaSchool of Business, Shanghai Dianji University, Shanghai, China; Corresponding author.Nursing Department, Guizhou Nursing Vocational College, Guizhou, ChinaSchool of Business, Shanghai Dianji University, Shanghai, ChinaAnalyzing the coupling coordination interactions of higher education (HE) and digital economy (DE) to achieve sustainable growth is crucial. Thus, we constructed the coupling coordination interaction mechanism and the comprehensive evaluation system of the two subsystems to measure their coordination interactions; then, we processed the temporal-spatial analysis of the development status and the coupling coordination degree (CCD) in the case of China. Furthermore, we used the gray correlation model to determine the primary influencing factors and proposed differentiated policymaking suggestions. We found that: (1) the development status of higher education (HE-D) was more stable than that of the digital economy (DE-D), which showed a slight upward trend; besides, there were noticeable spatial differences for HE-D and DE-D. (2) The temporal changes of CCD were not noticeable. (3) Expenditure on research activities in HE and the number of patents were the significant factors affecting DE; the popularity rate of mobile phones and the number of employees in the DE industry were the significant factors affecting HE; besides, HE's output benefits and DE's input was more influential in the coordination relations. Furthermore, we also put forward targeted, specific, and differentiated policymaking suggestions, which can guide policymakers to formulate regional sustainable development policies.http://www.sciencedirect.com/science/article/pii/S1470160X23006520ChinaCoupling coordinationInfluencing factorInteractionPolicymaking |
| spellingShingle | Yuqing Geng Lingyan Chen Jianyi Li Kashif Iqbal Higher education and digital Economy: Analysis of their coupling coordination with the Yangtze River economic Belt in China as the example Ecological Indicators China Coupling coordination Influencing factor Interaction Policymaking |
| title | Higher education and digital Economy: Analysis of their coupling coordination with the Yangtze River economic Belt in China as the example |
| title_full | Higher education and digital Economy: Analysis of their coupling coordination with the Yangtze River economic Belt in China as the example |
| title_fullStr | Higher education and digital Economy: Analysis of their coupling coordination with the Yangtze River economic Belt in China as the example |
| title_full_unstemmed | Higher education and digital Economy: Analysis of their coupling coordination with the Yangtze River economic Belt in China as the example |
| title_short | Higher education and digital Economy: Analysis of their coupling coordination with the Yangtze River economic Belt in China as the example |
| title_sort | higher education and digital economy analysis of their coupling coordination with the yangtze river economic belt in china as the example |
| topic | China Coupling coordination Influencing factor Interaction Policymaking |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X23006520 |
| work_keys_str_mv | AT yuqinggeng highereducationanddigitaleconomyanalysisoftheircouplingcoordinationwiththeyangtzerivereconomicbeltinchinaastheexample AT lingyanchen highereducationanddigitaleconomyanalysisoftheircouplingcoordinationwiththeyangtzerivereconomicbeltinchinaastheexample AT jianyili highereducationanddigitaleconomyanalysisoftheircouplingcoordinationwiththeyangtzerivereconomicbeltinchinaastheexample AT kashifiqbal highereducationanddigitaleconomyanalysisoftheircouplingcoordinationwiththeyangtzerivereconomicbeltinchinaastheexample |