Research on the factorial effect of science and technology innovation (STI) policy mix using multifactor analysis of variance (ANOVA)
Under the new normal of global governance driven by innovation, competitiveness in science and technology has become a key indicator of a country's or a region's comprehensive strength. Science and technology innovation (STI) policy has become a significant instrument for governments to gu...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-10-01
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| Series: | Journal of Innovation & Knowledge |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2444569X22000853 |
| _version_ | 1828332398075445248 |
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| author | Meirong Zhou Ping Wei Lianbing Deng |
| author_facet | Meirong Zhou Ping Wei Lianbing Deng |
| author_sort | Meirong Zhou |
| collection | DOAJ |
| description | Under the new normal of global governance driven by innovation, competitiveness in science and technology has become a key indicator of a country's or a region's comprehensive strength. Science and technology innovation (STI) policy has become a significant instrument for governments to guide and advance science and technology competitiveness. STI policies do not exist independently, and interactions exist among policies; however, studies till date have not sufficiently investigated such interaction. Hence, this study analyzed the factorial effect of STI policies using multifactor analysis of variance. We discovered that there are significant interactions among STI policies and that a policy mix can produce some new properties not possessed by a single STI policy. We statistically identified these interactions and sorted the magnitude of policy effects. This study enriches and improves the existing research, thereby offering scholars and policymakers with a more comprehensive and in-depth understanding of the effects of the policy mix. Moreover, this study contributes to the scientific implementation of policies for improved STI and economic development. |
| first_indexed | 2024-04-13T21:05:28Z |
| format | Article |
| id | doaj.art-52619ee1421b4cb9a459b88d4bff48f3 |
| institution | Directory Open Access Journal |
| issn | 2444-569X |
| language | English |
| last_indexed | 2024-04-13T21:05:28Z |
| publishDate | 2022-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Innovation & Knowledge |
| spelling | doaj.art-52619ee1421b4cb9a459b88d4bff48f32022-12-22T02:30:00ZengElsevierJournal of Innovation & Knowledge2444-569X2022-10-0174100249Research on the factorial effect of science and technology innovation (STI) policy mix using multifactor analysis of variance (ANOVA)Meirong Zhou0Ping Wei1Lianbing Deng2Zhuhai Da Hengqin Science and Technology Development Co., Ltd., Zhuhai, 519031, ChinaSchool of Economics, Huazhong University of Science and Technology, Wuhan, 430000, ChinaZhuhai Da Hengqin Science and Technology Development Co., Ltd., Zhuhai, 519031, China; School of Economics, Huazhong University of Science and Technology, Wuhan, 430000, China; Corresponding author.Under the new normal of global governance driven by innovation, competitiveness in science and technology has become a key indicator of a country's or a region's comprehensive strength. Science and technology innovation (STI) policy has become a significant instrument for governments to guide and advance science and technology competitiveness. STI policies do not exist independently, and interactions exist among policies; however, studies till date have not sufficiently investigated such interaction. Hence, this study analyzed the factorial effect of STI policies using multifactor analysis of variance. We discovered that there are significant interactions among STI policies and that a policy mix can produce some new properties not possessed by a single STI policy. We statistically identified these interactions and sorted the magnitude of policy effects. This study enriches and improves the existing research, thereby offering scholars and policymakers with a more comprehensive and in-depth understanding of the effects of the policy mix. Moreover, this study contributes to the scientific implementation of policies for improved STI and economic development.http://www.sciencedirect.com/science/article/pii/S2444569X22000853Science and technology innovationPolicy mixMultifactor ANOVAFactorial effect |
| spellingShingle | Meirong Zhou Ping Wei Lianbing Deng Research on the factorial effect of science and technology innovation (STI) policy mix using multifactor analysis of variance (ANOVA) Journal of Innovation & Knowledge Science and technology innovation Policy mix Multifactor ANOVA Factorial effect |
| title | Research on the factorial effect of science and technology innovation (STI) policy mix using multifactor analysis of variance (ANOVA) |
| title_full | Research on the factorial effect of science and technology innovation (STI) policy mix using multifactor analysis of variance (ANOVA) |
| title_fullStr | Research on the factorial effect of science and technology innovation (STI) policy mix using multifactor analysis of variance (ANOVA) |
| title_full_unstemmed | Research on the factorial effect of science and technology innovation (STI) policy mix using multifactor analysis of variance (ANOVA) |
| title_short | Research on the factorial effect of science and technology innovation (STI) policy mix using multifactor analysis of variance (ANOVA) |
| title_sort | research on the factorial effect of science and technology innovation sti policy mix using multifactor analysis of variance anova |
| topic | Science and technology innovation Policy mix Multifactor ANOVA Factorial effect |
| url | http://www.sciencedirect.com/science/article/pii/S2444569X22000853 |
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