The Impact of Factor Market Distortion on the Efficiency of Technological Innovation: A Spatial Analysis Article Swipe
Qian Lu
,
Chao Hua
,
Jianjun Miao
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/su141912064
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/su141912064
The growth of scientific and technological innovation in China is facing a bottleneck under the influence of domestic and foreign environments. The economic internal circulation policy of China may explore new driving forces for innovation from the perspective of optimizing the efficiency of production factor allocation. This research applies the provincial data from 2001 to 2017 to empirically investigate the spatial effects of factor market distortions on the efficiency of technological innovation. The DEA (Data envelopment analysis) model with variable returns to scale is exploited to measure the efficiency of technological innovation. The production function approach can be harnessed to measure labor market distortions and capital market distortions. The spatial correlation test results and the spatial econometric results regressed with three spatial weight matrices draw the following conclusions: (1) No matter how the spatial connection is established, the efficiency of the scientific and technological innovation in China shows a strong positive spatial correlation. (2) Labor market distortion and capital market distortion lead to low factor allocation efficiency, which inhibits the improvement of scientific and technological innovation efficiency. (3) When considering inter-regional economic connections, the inhibitory effect of factor market distortions on the efficiency of technological innovation shows spillover effects on surrounding areas. (4) Human capital and advanced industrial structure are conducive to the improvement of scientific and technological innovation efficiency. Optimizing the efficiency of factor market allocation can become a significant path for China to release new room for improvement in scientific and technological innovation.
Related Topics
Concepts
Economics
Technological change
Data envelopment analysis
Industrial organization
Distortion (music)
Production (economics)
Factor market
Bottleneck
Human capital
Microeconomics
Operations management
Computer science
Market economy
Macroeconomics
Mathematics
Bandwidth (computing)
Mathematical optimization
Computer network
Amplifier
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/su141912064
- https://www.mdpi.com/2071-1050/14/19/12064/pdf?version=1664272706
- OA Status
- gold
- Cited By
- 11
- References
- 25
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4297229031
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4297229031Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/su141912064Digital Object Identifier
- Title
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The Impact of Factor Market Distortion on the Efficiency of Technological Innovation: A Spatial AnalysisWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-09-23Full publication date if available
- Authors
-
Qian Lu, Chao Hua, Jianjun MiaoList of authors in order
- Landing page
-
https://doi.org/10.3390/su141912064Publisher landing page
- PDF URL
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https://www.mdpi.com/2071-1050/14/19/12064/pdf?version=1664272706Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2071-1050/14/19/12064/pdf?version=1664272706Direct OA link when available
- Concepts
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Economics, Technological change, Data envelopment analysis, Industrial organization, Distortion (music), Production (economics), Factor market, Bottleneck, Human capital, Microeconomics, Operations management, Computer science, Market economy, Macroeconomics, Mathematics, Bandwidth (computing), Mathematical optimization, Computer network, AmplifierTop concepts (fields/topics) attached by OpenAlex
- Cited by
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11Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 2, 2023: 8Per-year citation counts (last 5 years)
- References (count)
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25Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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