scholarly journals Grey Correlation Analysis of Economic Growth and Cultural Industry Competitiveness

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jian Li
Keyword(s):  
Economic Growth ◽  
Great Influence ◽  
Economic Benefits ◽  
Influential Factors ◽  
Cultural Industry ◽  
Grey Relational Degree ◽  
Relational Degree ◽  
Industry Competitiveness ◽  
Grey Relational ◽  
The Impact

The influence of cultural industry competitiveness on economic growth is analyzed by using grey relational degree method. Then, the influence of cultural industry on the three industries is analyzed and compared in the same way. On this basis, further from the cultural industry, the impacts of core layer, outer layer, and related layer on economic growth were compared and analyzed. Finally, the economic growth model is used to measure the impact of investment, labor, and innovation in cultural industry on economic growth. The results show that cultural industry has a great influence on economic growth. The cultural industry has an obvious driving effect on the tertiary industry. The correlative layer of cultural industry has the greatest influence on economic growth. Cultural industry innovation has a huge pulling effect on economic growth. The SPSS software was used to process the data, and the data indicators were screened. Finally, the grey relational degree model was constructed. Then, the improved diamond model was used to select the influential factors of the development of cultural industry, and the main influencing factors were found out through the grey relational degree analysis. This paper analyzes the factors affecting economic benefits and puts forward countermeasures. The results show that it is of great significance to pay attention to the development of cultural manufacturing industry in cultural industry and promote cultural innovation to promote economic growth.

scholarly journals Impact of Transport Infrastructure on Gross Regional Products: Evidence from Chinese Provinces under the “Belt and Road Initiative”

2020 ◽  
Vol 2 (2) ◽  
pp. 23-45
Author(s):  
Jin-Hui Li ◽  
Chol-Ju An ◽  
Gwang-Nam Rim
Keyword(s):  
Economic Growth ◽  
Economic Benefits ◽  
Transport Infrastructure ◽  
Belt And Road Initiative ◽  
Regression Analyses ◽  
Belt And Road ◽  
Development Levels ◽  
The Impact ◽  
The Belt And Road

Purpose: This paper analyzes the impact of transport infrastructure on Gross Regional Products in Chinese provinces under the “Belt and Road Initiative”. Methods: The impact of the key elements of transport infrastructure on Gross Regional Products is analyzed based on the data related to development levels of transport infrastructure and economic development. Correlation and regression analyses were used for data analysis. Results: It is found that railways and highways, which are the key elements of transport infrastructure, have a strong correlation with Gross Regional Products, and their effects are diverse among provinces under study. Implications: The findings demonstrate the position and role of diverse infrastructural elements in enhancing the economic benefits of infrastructural investment and promoting economic growth. Thus, it is expected to facilitate decision-making related to infrastructural investment under the “Belt and Road Initiative”.

scholarly journals THE CONTRIBUTION OF MIGRATION TO ECONOMIC GROWTH: THE EXAMPLE OF THE CITY OF ZAGREB

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Vinko Miličević ◽  
Danijel Knežević ◽  
Zoran Bubaš
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Economic Activity ◽  
Economic Benefits ◽  
Gdp Per Capita ◽  
The European Union ◽  
Per Capita ◽  
The Republic ◽  
The Impact ◽  
The City

The problems in this paper belong to the field of migration and economy. The connection between migration and the economy has been proven on a global level, and as far as the Republic of Croatia is concerned, it is especially important to observe it through the City of Zagreb, which is the most important migration and economic center in the Republic of Croatia. Also, the accession of the Republic of Croatia to the European Union emphasized the observation and research of this connection because it created the preconditions for freer movement and employment of the population of the Republic of Croatia and the City of Zagreb within the European Union. The aim of this paper is to determine the contribution of migration to the economic growth of the City of Zagreb. The hypothesis presented in the paper is that there is a significant contribution of migration to the economic growth of the City of Zagreb. The disposition of the paper consists of six parts. The introduction explains the relevance of the topic, states the aim of the paper and hypotheses, explains the empirical part, the contribution of the paper and the disposition. The second part of the paper refers to the theoretical framework of the impact of migration on economic growth. The third part of the paper presents the migration processes of the City of Zagreb in the period from 2011 to 2018. The fourth part deals with economic activity in the City of Zagreb in the period from 2011 to 2017. The observed indicators of economic activity in the City of Zagreb are GDP and GDP per capita, and the graph in this part of the paper shows that GDP and GDP per capita in the observed period are higher at the end of the period than at the beginning. The fifth part of the paper refers to the empirical research of the contribution of migration to the economic growth of the City of Zagreb. The empirical part of the paper is based on correlations and regression analyses. This paper proves the hypothesis because the results indicate a significant impact of the variables of total and external migration on the GDP of the City of Zagreb and GDP per capita of the City of Zagreb. Decision-makers in the City of Zagreb can use the results of the research as a basis for maximizing the economic benefits they can get from migration. The conclusion provides an overview of the aim of the work, the results of the research, the limitations, the implications and the recommendations for future research.

Air Conditioning Load Prediction of an Office Building based on Long Short Term Memory Neural Network

2021 ◽  
Vol 14 ◽  
Author(s):  
Mengxiang Zhuang ◽  
Qixin Zhu
Keyword(s):  
Neural Network ◽  
Prediction Model ◽  
Air Conditioning ◽  
Short Term Memory ◽  
Load Prediction ◽  
Short Term ◽  
Grey Relational Degree ◽  
Relational Degree ◽  
Long Short Term Memory ◽  
Grey Relational

Background: Energy conservation has always been a major issue in our country, and the air conditioning energy consumption of buildings accounts for the majority of the energy consumption of buildings. If the building load can be predicted and the air conditioning equipment can respond in advance, it can not only save energy, but also extend the life of the equipment. Introduction: The Neural network proposed in this paper can deeply analyze the load characteristics through three gate structures, which is helpful to improve the prediction accuracy. Combined with grey relational degree method, the prediction speed can be accelerated. Method: This paper introduces a grey relational degree method to analyze the factors related to air conditioning load and selects the best ones. A Long Short Term Memory Neural Network (LSTMNN) prediction model was established. In this paper, grey relational analysis and LSTMNN are combined to predict the air conditioning load of an office building, and the predicted results are compared with the real values. Results: Compared with Back Propagation Neural Network (BPNN) prediction model and Support Vector Machine (SVM) prediction model, the simulation results show that this method has better effect on air conditioning load prediction. Conclusion: Grey relational degree analysis can extract the main factors from the numerous data, which is more convenient and quicker without repeated trial and error. LSTMNN prediction model not only considers the relation of air conditioning load on time series, but also considers the nonlinear relation between load and other factors. This model has higher prediction accuracy, shorter prediction time and great application potential.

The Grey Relational Analysis of Driving Forces for Water Consumed Structure

2012 ◽  
Vol 490-495 ◽  
pp. 1612-1616 ◽  
Author(s):  
Cui Mei Lv ◽  
Fa Xing Du
Keyword(s):  
Grey Relational Analysis ◽  
Driving Forces ◽  
Water Saving ◽  
Utilization Rate ◽  
Sustainable Utilization ◽  
Urbanization Level ◽  
Relational Analysis ◽  
Grey Relational Degree ◽  
Relational Degree ◽  
Grey Relational

Grey Relational Analysis is a method of analysis and calculates the relational degree of evaluated object, which can characterize the relational degree between object with viral object. In this paper it was used to analyze the driving forces of water consumed structure change, and YiChang city was selected as an example. Adopted grey relational degree analysis, the main factors were found out. The results showed that industry water utilization rate, irrigation area, urbanization level are the main driving forces, and corresponding water-saving measures were put forward. This study can provide reference for the construction of water-saving society and sustainable utilization of water resource.

scholarly journals Study on the Relatedness between Arterial Highway Freight Volume and GDP

2020 ◽  
Vol 7 (3) ◽  
pp. p92
Author(s):  
Yuhan Li
Keyword(s):  
Freight Transport ◽  
Practical Significance ◽  
Actual Condition ◽  
Actual Situation ◽  
Grey Relational Degree ◽  
Relational Degree ◽  
Calculation Results ◽  
Freight Volume ◽  
Grey Relational ◽  
Municipal Level

There is a deviation from the actual condition of freight transport and ‘volume of freight transport by vehicles’ counted by the current highway and waterway industry statistical statement system of China at the provincial or municipal level. This paper puts forward the concept of ‘volume of freight transport in regions’, uses survey data and administrative data to calculate the Grey relational degree between arterial highway freight volume and the GDP of the three industries. The quantitative analysis of the calculation results shows that the results are consistent with the actual situation, which is of certain practical significance. The variation trend of the arterial highway freight volume can reflect the economic development of the region.

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