Regional Credit, Technological Innovation, and Economic Growth in China: A Spatial Panel Analysis
Joint Authors
Yang, Xiaoguang
Qu, Shaojian
Yuan, Qinglu
Zhou, Huan
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-03
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Based on data of 31 provinces in China for the period 2007–2017, this paper establishes spatial models by means of a transcendental logarithmic production function and analyzes the impact of regional credit and technological innovation on regional economic growth.
The Jenks natural breaks method, kernel density function, and Moran index are introduced for spatial statistical analysis.
Spatial weight matrices are constructed from two aspects of geographical characteristics and innovative input characteristics.
The empirical results show significant spatial heterogeneity and spatial autocorrelation in economic growth, regional credit, and technological innovation.
Both regional credit and technological innovation are important impacts to economic growth, whereas the interaction of regional credit and technological innovation has a negative effect on provincial economic growth.
Therefore, we argue that China should rationally allocate regional credit resources, strengthen technological innovation capabilities, and boost the integrated development of regional credit and technological innovation.
It is a particularly important way to facilitate regional economic integration and sustainable development.
American Psychological Association (APA)
Zhou, Huan& Qu, Shaojian& Yang, Xiaoguang& Yuan, Qinglu. 2020. Regional Credit, Technological Innovation, and Economic Growth in China: A Spatial Panel Analysis. Discrete Dynamics in Nature and Society،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1152841
Modern Language Association (MLA)
Zhou, Huan…[et al.]. Regional Credit, Technological Innovation, and Economic Growth in China: A Spatial Panel Analysis. Discrete Dynamics in Nature and Society No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1152841
American Medical Association (AMA)
Zhou, Huan& Qu, Shaojian& Yang, Xiaoguang& Yuan, Qinglu. Regional Credit, Technological Innovation, and Economic Growth in China: A Spatial Panel Analysis. Discrete Dynamics in Nature and Society. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1152841
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1152841