Regional Credit, Technological Innovation, and Economic Growth in China: A Spatial Panel Analysis
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, ke...
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Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2020/1738279 |
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doaj-fc0fed7b5921412e983cbbb794d2155a2020-11-25T04:06:42ZengHindawi LimitedDiscrete Dynamics in Nature and Society1026-02261607-887X2020-01-01202010.1155/2020/17382791738279Regional Credit, Technological Innovation, and Economic Growth in China: A Spatial Panel AnalysisHuan Zhou0Shaojian Qu1Xiaoguang Yang2Qinglu Yuan3Business School, University of Shanghai for Science and Technology, Shanghai 200093, ChinaBusiness School, University of Shanghai for Science and Technology, Shanghai 200093, ChinaAcademy of Mathematics and Systems Science, CAS, Beijing 100190, ChinaInstitute of Disaster Prevention, Beijing 101601, ChinaBased 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.http://dx.doi.org/10.1155/2020/1738279 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Huan Zhou Shaojian Qu Xiaoguang Yang Qinglu Yuan |
spellingShingle |
Huan Zhou Shaojian Qu Xiaoguang Yang Qinglu Yuan Regional Credit, Technological Innovation, and Economic Growth in China: A Spatial Panel Analysis Discrete Dynamics in Nature and Society |
author_facet |
Huan Zhou Shaojian Qu Xiaoguang Yang Qinglu Yuan |
author_sort |
Huan Zhou |
title |
Regional Credit, Technological Innovation, and Economic Growth in China: A Spatial Panel Analysis |
title_short |
Regional Credit, Technological Innovation, and Economic Growth in China: A Spatial Panel Analysis |
title_full |
Regional Credit, Technological Innovation, and Economic Growth in China: A Spatial Panel Analysis |
title_fullStr |
Regional Credit, Technological Innovation, and Economic Growth in China: A Spatial Panel Analysis |
title_full_unstemmed |
Regional Credit, Technological Innovation, and Economic Growth in China: A Spatial Panel Analysis |
title_sort |
regional credit, technological innovation, and economic growth in china: a spatial panel analysis |
publisher |
Hindawi Limited |
series |
Discrete Dynamics in Nature and Society |
issn |
1026-0226 1607-887X |
publishDate |
2020-01-01 |
description |
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. |
url |
http://dx.doi.org/10.1155/2020/1738279 |
work_keys_str_mv |
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1715048701322330112 |