scholarly journals Analysis of the Contribution of Intellectual Capital to Economic Growth Based on an Empirical Analysis of Prefecture-Level Cities in Guangxi

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Qun Zeng ◽  
ZhenHai Tan ◽  
Chunnian Liu

The purpose of this paper is to explore the reasons for the differences in intellectual capital between regions and put forward reasonable suggestions for regional economic development through the use of an intellectual capital measurement model. Based on a sample of 14 cities in Guangxi in 2017, this work builds a set of indicator systems to evaluate intellectual capital contributions. First, the comprehensive intellectual capital score of each region is calculated, and the principal component analysis is used to analyze three elements. Second, a regression equation model between the regional intellectual capital and the regional economic status indicator—GDP—is established, and a descriptive statistical test, a correlation test, and a robustness test are carried out on the model. This work finds that the three major factors of regional intellectual capital have positive effects on the level of regional economic development, among which the contribution of regional structural capital to economic development is the largest, reaching more than 50%, followed by human capital, and, finally, relational capital. The unbalanced characteristics of intellectual capital between cities are quite prominent, and thus, the alleviation of the unbalanced development of cities has become a problem that must be urgently addressed. Structural capital has the highest impact on GDP of all types of capital, with government income from structural capital accounting for more than half of total incomes.

2018 ◽  
Vol 10 (9) ◽  
pp. 89 ◽  
Author(s):  
Chongyi Zhang

Based on the principle of coupled cooperation, the article identifies indicators from the perspective of industrial clusters, uses the principal component analysis to extract the effective coupling indicators of military-and-civilian integration industry and regional economic development and builds a model for the coupling coordination between the two. Taking the aerospace manufacturing industry in Shaanxi Province as an example, the article finds that the coupling degree between the aerospace manufacturing industry in Shaanxi Province and the regional economy has been increasing year by year, gradually shifting from disordered development to orderly evolution. Finally, based on empirical conclusions, relevant recommendations are given.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yanyan Li

The diversities in the natural, social, and human environment of various regions often lead to the differences in their regional economic development level and industrial structure and layout; moderate regional differences can mobilize economic vitality and improve development efficiency, but excessive differences may lead to social instability or even turbulence. Intelligent algorithms or their improved and hybrid algorithms can recently achieve more suitable solutions to practical problems of nonlinear, discrete, nondifferentiable, and multiple constraints. Therefore, this paper's main point is on the analysis of regional economic development differences based on intelligent hybrid algorithms. On the basis of summarizing and analyzing previous research works, this paper expounded the research status and significance of regional economic development differences analysis, elaborated the development background, current status, and future challenges of intelligent hybrid algorithms, introduced the methods and principles of principal component distance weighting algorithm and sequential quadratic programming algorithm, constructed a basic model for regional economic development differences based on intelligent hybrid algorithm, conducted the construction of analysis index system and the hybrid of intelligence algorithm, analyzed the regional economic development differences based on intelligent hybrid algorithm, performed the principal component analysis and time-space change analysis of regional economic development, and finally carried out a simulation experiment and its result analysis. The study results show that the intelligent hybrid algorithm can simulate the intelligent behavior of certain groups in nature when analyzing the differences in regional economic development, so that it has essentially parallelism, high accuracy, and convergence speed. The study results of this paper provide a reference for further researches on the regional economic development differences analysis based on intelligent hybrid algorithm.


2018 ◽  
Vol 6 (2) ◽  
pp. 121-137
Author(s):  
Sean M. McDonald ◽  
Remi C. Claire ◽  
Alastair H. McPherson

The impact and effectiveness of policies to support collaboration for Research & Development (R&D) and Innovation is critical to determining the success of regional economic development. (O’Kane, 2008) The purpose of this paper is to evaluate the level of success of the Innovation Vouchers Program operated by Invest Northern Ireland (Invest NI) from 2009 to 2013 and address if attitudinal views towards innovation development should play in a role in future policy design in peripheral EU regions. 


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