创新、金融发展与经济增长的关系:1986-2015年东盟国家的检验

D. Saputri, Harmadi Harmadi
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引用次数: 0

摘要

本研究旨在确定创新、金融发展和经济增长之间的关系。创新用专利来衡量,经济增长用人均GDP百分比来衡量,金融发展用7个指标来衡量,即银行业发展。指数的形成是通过主成分分析(PCA)完成的,变量的注释是前面定义的。本研究使用的数据来自10个东盟成员国,观察期为1986-2015年。研究数据为来自世界银行《世界发展指标》和《全球金融发展》的二手数据。本研究使用的分析方法是格兰杰因果检验、VECM、IRF和FEVD分析。结果表明,在这三种关系的方向上,结果存在一些差异。这种差异是由于研究中使用的代理的不同。在这项研究中有三个案例。从广义上讲,金融发展与经济增长的关系是从金融发展到经济增长的单向因果关系。另一方面,对经济增长与创新的检验显示出双向因果关系。在金融发展与金融创新的关系上,从创新到金融发展存在单向因果关系。然而,这三个变量之间的关系显示出长期的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Relationship between Innovation, Financial Development, and Economic Growth : Testing in ASEAN Countries for the Period 1986-2015
This study aims to determine the relationship between innovation, financial development, and economic growth. Innovation is measured by patents, and economic growth is measured by the percentage of GDP per capita, while financial development is measured by seven indicators, namely banking sector development. Index formation is done through the Principal Component Analysis (PCA), with the note of the variable were defined earlier. This study uses data from ten ASEAN member countries with observation periods from 1986-2015. Research data is secondary data derived from the World Development Indicator and Global Financial Development at the World Bank. The analytical method used in this study is granger causality test, VECM, and IRF and FEVD analysis. The results showed that there were several differences in results in the direction of the three relationships. This difference is due to the difference in proxy that used in the study. There are three cases in this study. Broadly speaking, the relationship between financial development and economic growth is a unidirectional causality from financial development to economic growth. On the other hand, testing on economic growth with innovation shows a bidirectional causality. On the relationship between financial development and innovation, there are unidirectional causality from innovation to financial development. Nevertheless, the relationship between the three variables shows a long-term relationship.
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