Coordinated Development of Financial Development, Technological Innovation and High-Quality Economic Development—Empirical Analysis Based on Panel Data of Jiangsu Province in China

Author(s):  
Rongrong Wei ◽  
Ying Xia ◽  
Zhaopeng Yu
2021 ◽  
Vol 9 ◽  
Author(s):  
Aixin Cai ◽  
Shiyong Zheng ◽  
LiangHua Cai ◽  
Hongmei Yang ◽  
Ubaldo Comite

Due to an increasing number of issues such as climate change, sustainable development has become an important theme worldwide. Sustainable development is inseparable from technological innovation. Only by making technological breakthroughs can we ensure the overall integration of economic development and environmental protection. Here, based on China’s inter-provincial panel data from 2006 to 2019, we examine the relationship between green technological innovation and carbon dioxide (CO2) emissions in 30 provinces (excluding Hong Kong, Macao, Taiwan, and Tibet) and sub-regions (eastern, central, and western China) in China using a space panel econometric model based on the STIRPAT equation. Additionally, we use geographic information analysis methods to analyze the spatial pattern and evolution characteristics of CO2 emissions. Our major finding is that, from the perspective of the whole country, green technology innovation has a negative correlation with carbon emissions, but the effect is not obvious. In addition, from the regional sample, green technology innovation in the eastern and central regions can effectively reduce carbon emissions, while in the western region, green technology innovation can promote carbon emissions in the province. At the same time, the research results show a strong spatial spillover effect of inter-provincial carbon dioxide emissions, and the progress of green technology in neighboring provinces has a negative impact on carbon emissions in their own provinces. Therefore, cross-province policies and actions for reducing carbon emissions are necessary. Additionally, our results show that carbon-emission driving factors, such as economic development, industrial structure, energy consumption structure, and population, have a significant positive effect on carbon dioxide emissions. Based on the above research results, we put forward corresponding policy recommendations.


2021 ◽  
Vol 25 (4) ◽  
pp. 98-109
Author(s):  
B. D. Matrizaev

This article examines the main mechanisms and tools for implementing innovation policy in countries with fastgrowing economies such as China and India. The study aims to explore the causal relationship between innovation, key macroeconomicvariables and economic growth.The author applies the entropy method and adapts the Graymodel to build a system of indices for assessing the coordination of the interaction of technological innovation, financial development and economic growth. The results show that the degree of integration of the financial system into innovation processes has a significant positive impact on the success of innovation, which is measured by patent activity. Our research proves that innovation indirectly affects economic growth through quality of life, infrastructure efficiency, employment, and rade openness. The findings of the research reveal that both economic growth and innovation tend to depend on a number of conjugate variables in the long run: capital, labor, etc. The author concludes that a comprehensive analysis of technological innovation, financial development and economic growth shows that the three-factor relationship has great potential for coordinated development, as a result of which, according to the calculated forecasts, economic growth in fast-growing economies will significantly accelerate its pace in the next five years. The subject of further research may be an analysis of whether the degree of conjugation of connectivity and coordination between the three systems will maintain stable growth at high values and whether they will be able to reach the stage of transformation.


2018 ◽  
Vol 227 ◽  
pp. 02014
Author(s):  
Rongrong Wei ◽  
Zhaopeng Yu

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.


2014 ◽  
Vol 1014 ◽  
pp. 533-538
Author(s):  
Qi Zhen Wang ◽  
Ying Ming Zhu

This article made empirical analysis of industrial agglomeration and export based on the manufacturing panel data during 2002-2011 in Jiangsu Province. The results indicate industrial agglomeration has a negative impact on export in the 29 industries. We should distinguish between the impact of industrial agglomeration and industry dispersed on export, and study different effect on export among concentration trends of manufacturing industries. On this basis, we propose some targeted recommendations.


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