scholarly journals Financial Development and Regional Innovation Output Growth: Based on Empirical Analysis of Provincial Panel Data in China

2016 ◽  
Vol 07 (01) ◽  
pp. 10-19 ◽  
Author(s):  
Wenfeng Zhao
Keyword(s):  
Panel Data ◽  
Empirical Analysis ◽  
Financial Development ◽  
Output Growth ◽  
Regional Innovation ◽  
Innovation Output

scholarly journals Sci-tech Innovation, Financial Development and Economy Growth ——Empirical Analysis Based on Static and Dynamic Panel Data

2018 ◽  
Vol 227 ◽  
pp. 02014
Author(s):  
Rongrong Wei ◽  
Zhaopeng Yu
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Empirical Analysis ◽  
Financial Development ◽  
Yangtze River ◽  
Fixed Effect Model ◽  
Dynamic Panel Data ◽  
Effect Model ◽  
One Step ◽  
Development Structure

The paper makes empirical analysis of the relationship between sci-tech innovation, financial development and economic growth in China’s Yangtze river economic belt by building panel data period fixed effect model of 11 provinces and cities in China’s Yangtze river economic belt from 2005 to 2015. Static panel analysis results show that financial development and sci-tech innovation in the east, middle and west of Yangtze river economic belt have significantly different effects on economic growth, the performance’s ordering of all provinces and cities in Yangtze river economic belt is east>middle>west; In system GMM(one-step),the ranking of financial development’s contribution to economic growth is financial development structure>financial development efficiency>financial development scale, financial development scale has lag effect on economic growth, and there is still much room for sci-tech innovation to drive economic growth.

Study on the Correlation of Regional Innovation Networks and Oil & Gas Resources Clusters Using an Empirical Analysis Based on Panel Data

2013 ◽  
Vol 869-870 ◽  
pp. 545-548
Author(s):  
Lei Jin ◽  
Juan Li ◽  
Xiao Luo
Keyword(s):  
Sustainable Development ◽  
Panel Data ◽  
Empirical Analysis ◽  
Oil And Gas ◽  
Technology Innovation ◽  
Innovation Networks ◽  
Regional Innovation ◽  
Oil And Gas Resources ◽  
Deep Exploration ◽  
Oil Gas

Traditional studies suggest oil & gas resources clusters lack effective demand for innovation and resource endowments play the most important role in their development. In this paper, we analyzed the correlation of regional innovation networks and oil & gas resources clusters. Based on identification of oil & gas resources clusters in China by calculating location entropy, we did an empirical analysis on the correlation by using related panel data. It shows that resource-based clusters demand for innovation doesnt diminish at all. With oil and gas resources deep exploration, the demand for technology innovation increases, thus forming a strong and active regional innovation networks. In turn, effective regional innovation networks contribute to these clusters sustainable development.

scholarly journals An empirical analysis of the relationship between bank credit and economic growth

2021 ◽  
Vol 24 (1) ◽  
pp. 1-24
Author(s):  
Marcos Roberto Vasconcelos ◽  
Vitor Gomes Reginato ◽  
Marina Silva da Cunha
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Empirical Analysis ◽  
Financial Development ◽  
Bank Credit ◽  
The Relationship

This paper tests the hypothesis that bank credit is necessary for economic growth, depending on the country's level of economic and financial development. It also seeks to verify whether the relationship between financial development and economic growth is monotonic. For this, Granger's causality methodology is used for panel data, with data from 106 countries for the period between 1970 and 2016. It is observed that there was an expansion of world credit above the economic growth observed over the studied period. The main empirical findings indicate that, in general, credit causes economic growth and vice versa, in addition to verifying the non-monotonicity of the relationship between financial development and economic growth, so that, for very low credit / GDP indices, the causality of the credit to GDP is not verified.

scholarly journals Science and Technology Resource Allocation, Spatial Association, and Regional Innovation

2020 ◽  
Vol 12 (2) ◽  
pp. 694
Author(s):  
Fuqin Zhang ◽  
Yue Wang ◽  
Wei Liu
Keyword(s):  
Resource Allocation ◽  
Science And Technology ◽  
Spatial Association ◽  
Output Growth ◽  
Regional Innovation ◽  
Innovation Output ◽  
The Impact ◽  
Technology Resources ◽  
Resource Input ◽  
Oriented Research

Considering the impact of science and technology resource allocation on regional innovation output, based on the inter-provincial panel data of 30 provinces in China from 1998 to 2017, this paper establishes a regional innovation output growth model, including science and technology resource input and science and technology resource allocation, and investigates the spatial relationship between regional innovation output and the allocation of science and technology resources, the effect of the inter-subjective configuration structure and inter-regional space re-allocation on regional innovation output. The research results show that there are obvious spatial autocorrelation agglomeration characteristics of China’s regional innovation output and science and technology resource input. The efficiency of the allocation of science and technology resources in the region is relatively low. The application-oriented research subjects with enterprise-oriented research are more efficient in investing in science and technology resources, and the promotion of regional innovation output is more significant. The investment in science and technology resources in neighboring provinces will have a significant inhibitory effect on the province’s innovation output. The regional mobility of science and technology resources has a significant role in promoting regional innovation output growth. The effect of science and technology personnel mobility on regional innovation output is better than that of technology capital flows.

Credit Market Depth and Income Inequality in Vietnam: A Panel-Data Analysis

2016 ◽  
pp. 5-18
Author(s):  
Hoi Le Quoc ◽  
Hoi Chu Minh
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Income Inequality ◽  
Financial Development ◽  
Inflection Point ◽  
Panel Data Analysis ◽  
Credit Market ◽  
Method Of Moment ◽  
Market Depth ◽  
Generalized Method Of Moment

Financial development could exert various effects on income distribution of a country. By employing Generalized Method of Moment, this paper aims at examining the impacts of credit market depth, one of most used financial development barometers, on income inequality in Vietnam. The empirical findings show that expanding credit market in the country could lead to higher income inequality. We have not found evidence that supports the hypothesis of an inverted U-shaped relation ever introduced by Greenwood and Jovanovich, although this hypothesis may still hold in a sense that Vietnam has not reached to the inflection point to generate such a curve alike.

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