scholarly journals Discrete Dynamic Modeling and Change Trend Analysis of Regional Economy Based on Big Data

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yang Chen ◽  
Yu Yu
Keyword(s):  
Big Data ◽  
Dynamic Modeling ◽  
Regional Economy ◽  
Experimental Testing ◽  
Modeling Method ◽  
Bayesian Regression ◽  
Government Support ◽  
Regional Economic ◽  
Discrete Dynamic ◽  
Modeling Technology

The driving force of high-quality development of regional economy is inseparable from the support of technology. With the support of big data, we need to solve this problem in order to solve the difficulty of large-scale experimental testing and accurately reflect the feasibility growth of data sample changes. This paper proposes a discrete dynamic modeling technology based on big data background to analyze the development and change of regional economy. The reliability AMSAA model is usually used for dynamic discrete modeling. It can be combined with the change data provided by big data to form a dynamic modeling method for reliability growth evaluation. Then, the Bayesian regression method is used to predict the change parameters of the model, and the spatial econometric method is used to analyze the regional economic change. The results show that compared with the traditional methods, the discrete dynamic modeling method is more accurate and can effectively solve the problem of reliable growth under the condition of big data. After introducing the spatial effect measurement model, it can also reflect the main factors of the growth and change of regional economic real output value. In addition to the development of high and new technology, terrain factors, investment, and government support have also had different effects. Therefore, according to the above results, it is proved that the discrete dynamic modeling technology can accurately obtain the experimental data and provide reliable technical support for dynamic data processing.

scholarly journals The Relationship Between Green Building and Regional Economy: A Case Study in Guangdong, China

2017 ◽  
Vol 11 (1) ◽  
pp. 216-234
Author(s):  
Zhao Likun ◽  
Zhang Qibin ◽  
Ji Yingbo
Keyword(s):  
Regional Economy ◽  
Green Building ◽  
Local Economy ◽  
Government Support ◽  
Flow Diagram ◽  
Regional Economic ◽  
Fixed Assets ◽  
Save Energy ◽  
Investment In Fixed Assets ◽  
Stock Flow

Developing Green Building (GB) is one of the most effective measures to save energy and reduce carbon emissions in the world. To promote the development of green building, it is necessary to analyze driving factors and contribution through the analysis for relationship between regional economy and green building. Therefore, based on the system dynamic(SD) theory, this paper constructs the structure model of the stock flow diagram, including the regional economic subsystem, social subsystem, government support subsystem and green building subsystem. Among the model, Guangdong province, as the most prosperous province of economic development with the largest numbers of certified green buildings in China, has been chosen to show the influence level of their relationship. Through simulation, results can be easily shown that development of GB can make contributions to the field of local economy, however, also be limited by the regional condition, including policy incentive, regional economic, technological, etc. We can also find that direct contribution to the GDP the Green Building made can reach about 2.47 ‰, and 9.23 ‰ indirectly. If the current level of regional production is stable, it can be found that each additional 10,000 square meters of green area building may produce about ¥018.2 million for economy. On the contrary, that the regional economy investment in fixed assets increased by ¥1 million can stimulate 0.001648 million square meter demand of GB. Additionally, employment opportunities directly or indirectly have also been considered.

Analysis of regional economic evaluation based on machine learning

2020 ◽  
pp. 1-11
Author(s):  
Xiaoying Xu ◽  
Zhijian Zeng
Keyword(s):  
Economic Development ◽  
Economic Evaluation ◽  
Regional Economy ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Real Data ◽  
Entropy Weight ◽  
Regional Economic ◽  
Economic Strategy ◽  
Table Data

The regional economic evaluation and analysis has guiding significance for the subsequent economic strategy formulation. Due to the influence of various factors, the volatility of some current economic evaluation models is relatively large. According to the needs of regional economic evaluation, this study uses computer technology combined with regional economic development to build an economic development evaluation model to evaluate and analyze the regional economy. Through comparative analysis, this study selects the entropy weight-TOPSIS model as the comprehensive evaluation model of regional economy, uses the entropy weight method to determine the weight of each index, and then uses the TOPSIS method to conduct comprehensive evaluation. In addition, this study designs a control experiment to analyze the performance of this study model. Moreover, this study uses the model proposed in this study to conduct regional economic evaluation in recent years, and compares it with real data, and observes the test results with statistical charts and table data. The research results show that this research model has a certain effect, which can provide analytical tools for the follow-up economic strategy research and analysis.

scholarly journals ANALYSIS OF REGIONAL ECONOMIC CRIME (ON THE EXAMPLE OF MOSCOW AND THE MOSCOW REGION)

2021 ◽  
Vol 8 (4) ◽  
pp. 116-120
Author(s):  
Igor' Lopatin
Keyword(s):  
Regional Economy ◽  
Current Trend ◽  
Regional Level ◽  
Point Of View ◽  
Social Conditions ◽  
Economic Crime ◽  
Moscow Region ◽  
Material Damage ◽  
Regional Society ◽  
Regional Economic

Economic crime at the regional level is a versatile category that is dangerous for the population of the region and negative from the point of view of society, characterized by the existing regional social conditions. The danger of manifestations of economic crime consists both in the consequence in the form of significant material damage to the population of the region, and in the destabilization of the regional economy as a whole. Parallel shadow operations with an illegal orientation are emerging and progressing in the regional society, which, given the current trend, can direct all the resources available in the region to their development.

Empirical Research on China's Regional Economic Distribution and Characteristics

2011 ◽  
Vol 204-210 ◽  
pp. 350-353
Author(s):  
Xiao Guang Lu ◽  
Jian Qun Zhu ◽  
Meng Ying Fan
Keyword(s):  
Division Of Labor ◽  
Empirical Research ◽  
Regional Economy ◽  
Census Data ◽  
Jiangsu Province ◽  
Regional Economic ◽  
The Past ◽  
Model Based ◽  
Economic Census ◽  
Economic Regions

According to the second economic census data of Jiangsu Province, this paper firstly uses PCA-HCA model based on provincial cities data to classify economic regions. And then, it uses BLR-HCA model to reclassify the economic regions based on counties data. Finally, it comes to the conclusion that the past regional classification ways of Jiangsu Province need to be updated. The research on regional economy is dynamic and timely, while deepening the division of labor and finance is an effective way to develop Jiangsu’s regional economy.

The Method of Tree Dynamic Modeling under Rainfall Field

2013 ◽  
Vol 475-476 ◽  
pp. 1551-1554
Author(s):  
Tie Nan Li ◽  
Shun Yu ◽  
Feng Yang
Keyword(s):  
Dynamic Modeling ◽  
Young Modulus ◽  
Modeling Method ◽  
Tree Modeling ◽  
Almost All

Almost all the fields use tree modeling in society, so it analyses the tree modeling in the academic circles. But it is difficult to find an efficient tree modeling method because its own complexity and wind, rain acting on tree. The object suffers rain power that the force calculated by momentum theorem. And then compare the value of rupture limit to Young modulus. It is determined object to fracture or sway. Then it constructs tree dynamic modeling in the nature.

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