Notice of Retraction: Empirical study on the relationship between financial development and economic growth in China

Author(s):  
Duan Jie ◽  
Liu Yong
2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Juan Xie ◽  
Yunfei Cao

In order to discuss a series of issues surrounding financial development and economic growth, it makes it more meaningful to discuss regional financial development and economic growth. This article aims to study the empirical study of the relationship between financial development and economic growth based on intelligent algorithms based on wireless network communication. In this article, a two-side positioning model is established, and the optimal solution is found for the feasible region through the particle swarm optimization algorithm. After two anchor nodes are realized, the position of the unknown node can be calculated. In addition, this article uses the Shadowing model to calculate the distance between wireless network nodes. This model is composed of path loss and occlusion factors, which can fully consider the impact of environmental factors on the signal. Experimental research data show that the improved algorithm has a positioning coverage close to 100% when the anchor node density is 30%. The improved algorithm in this article speeds up the convergence speed than positioning algorithm 1 and reduces the time by about 35%. Although the running time of the algorithm in this article is longer than that of positioning algorithm 2, the overall positioning accuracy is higher than that of the positioning algorithm, which is about 20% higher.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda

PurposeThe paper examined the relationship between financial development and economic growth for the period 1996 to 2018 in Eswatini.Design/methodology/approachThe Autoregressive Distributed Lag bounds test (ARDL) was employed to determine the long-run and short-run dynamics of the link between the variables of interest. The Granger causality test was also performed to establish the direction of causality between financial development and economic growth.FindingsThe ARDL results revealed that there is a long-run relationship between financial development and economic growth. The Granger causality test revealed bidirectional causality between money supply and economic growth, and unidirectional causality running from economic growth to financial development. The results highlight that economic growth exerts a positive and significant influence on financial development, validating the demand following hypothesis in Eswatini.Practical implicationsPolicymakers should formulate policies that aims to engineer more economic growth. The policies should strike a balance between deploying funds necessary to stimulate investment and enhancing productivity in order to enliven economic growth in Eswatini.Originality/valueThe study investigates the finance-growth linkage using time series analysis. It determines the long-run and short-run dynamics of this relationship and examines the Granger causality outcomes.


2015 ◽  
Vol 5 (3) ◽  
pp. 205-213
Author(s):  
Kunofiwa Tsaurai

This study investigated the relationship between financial development and economic growth in Hungary using a case study approach. Majority of previous studies on the same or similar topic have so far used regression and or econometric methodologies to examine the nature of the relationship between financial development and economic growth. Not a single study the author is aware of used a case study approach to discuss the relationship between the two variables. It is against this background that the author decided to use the case study approach that allows the author to really deepen an understanding of the relationship between the two variables in Hungary. Apart from being narrowly focused on regression or econometric approaches, previous studies on the same or similar topic in Hungary excluded a broad range of financial development variables. The current study departs from these previous studies as it used a case study approach and taken into account a broad range of financial development variables. From the trend analysis done in section 3, it appears that the relationship between financial development and growth in Hungary during the period under study is not clear. A definite and clear cut conclusion could not be reached about the relationship between the two variables in Hungary hence the use of econometric data analysis approaches in conjuction with the case study approach is recommended.


Sign in / Sign up

Export Citation Format

Share Document