Impact of the Application of Big Data Technology on Industrial Agglomeration and High-Quality Economic Development

Author(s):  
Xinlin He ◽  
Yufeng Wang
2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Haiying Liu

Sharing economy as an important product of the Internet Era, its essence is to rely on Internet technology, especially big data technology to reuse the idle resources of society and creating new market value. However, with the increasing scope of the sharing economy, the problems of data security, circulation, sharing and privacy protection are gradually emerging, and big data technology has become the biggest bottleneck for further development of shared economy. The block chain technology is composed of a variety of technology and communication protocol to form a new Internet architecture, it through cryptographic sharing, distributed books and other feathers to provide new methods and ideas for data distribution and sharing and complementary with big data technology. Therefore, through the combination of block chain technology and big data technology, they can subvert the traditional shared economic business model and provide a new opportunity for sharing economic development.


2021 ◽  
Vol 6 (1) ◽  
pp. 40
Author(s):  
Ziwei Wang

China’s economic development is from high speed to high quality. Developing consumer finance has become a new growth point of China’s economic development and one of the important ways to expand domestic demand. Consumer finance is based on the development of new generation Internet technology and big data, becoming a new trend of China’s financial development and attracting the attention of various industries.


2021 ◽  
Vol 235 ◽  
pp. 03013
Author(s):  
Junsheng Wang ◽  
Zhong Ziqi ◽  
Haoran Wang

Export trade can measure the economic level of a country, but it can only reflect the amount of exports, but not the quality of exported products and the technical content of exported products. Therefore, domestic and foreign scholars have begun to study the complexity of export technology. The development of big data technology makes it possible to analyze the export complexity using big data analysis technology. With the rapid development of high-tech industries represented by high-end manufacturing, there is more and more research on the export of high-tech industries. Based on the existing research results, this article first introduces the current export profile of high-tech products and explains the concept of export complexity. Then, the flow of big data analysis was sorted out. Finally, this paper theoretically analyzes the influence of industrial agglomeration on industrial export complexity, and uses big data analysis and regression verification. The results show that industrial agglomeration has a significant role in promoting the export complexity of China’s high-tech products.


2021 ◽  
Author(s):  
QUAN TAO

In the era of big data, it is particularly necessary to use Internet plus technology to promote tax law teaching reform and innovation. This paper analyzes the current situation, points out the existing problems, and puts forward specific measures for Internet plus promoting tax reform and innovation in the era of big data, so as to facilitate the reform and development of tax law teaching in Chinese universities. In the era of big data, with the rapid development of computer technology and the continuous improvement of Internet plus, people's lives have entered the information society. People are increasingly demanding information, big data has become a hot term, and infiltrate into various industries. Nowadays, science and technology are developed, big data information is unblocked, people communicate more closely, life is more convenient, big data is the product of high-tech era.“ Internet plus” is the new form of Internet development under the innovation, which promotes social and economic entities and becomes a platform for reform, innovation and development. Internet plus relying on Internet technology to integrate Internet and traditional industries, optimize production factors and restructure business models to achieve economic transformation and upgrading, give full play to the advantages of the Internet, upgrade industrial productivity and increase social wealth by upgrading industries. Through the characteristics of openness, equality and interaction, the Internet uses big data analysis to transform the traditional industrial model and enhance the power of economic development, so as to promote the healthy and rapid development of national economy [1]. Based on the background of Internet plus in the era of big data, this article discusses the development and innovation of tax law teaching reform in our country. It expects that the traditional tax law teaching mode can help students integrate new teaching and big data technology with the help of big data technology and Internet plus platform, and better train new talents suitable for the big data era. It is a contribution to the construction and economic development of "double first-class" in universities in China.


Author(s):  
La Duc Minh ◽  
Nguyen Thi Hao ◽  
Vu Thi Thuy

Ethnic affairs play an important role in socio of ethnic groups’ solidarity, assurance of security and national defense stability. In -economic development, maintenanceorder to improve the quality of ethnic affairs, it is practical to carry out postgraduate training of officer implementing ethnic affairs using state budget with the aim of encouraging and enhancing officer quality to satisfy high-quality human resource in international integration.


Author(s):  
Yu Zhang ◽  
Yan-Ge Wang ◽  
Yan-Ping Bai ◽  
Yong-Zhen Li ◽  
Zhao-Yong Lv ◽  
...  

2020 ◽  
Vol 12 (13) ◽  
pp. 5470 ◽  
Author(s):  
Antonio Matas-Terrón ◽  
Juan José Leiva-Olivencia ◽  
Pablo Daniel Franco-Caballero ◽  
Francisco José García-Aguilera

Big Data technology can be a great resource for achieving the Sustainable Development Goals in a fair and inclusive manner; however, only recently have we begun to analyse its impact on education. This research goal was to analyse the psychometric characteristics of a scale to assess opinions that educators in training have about Big Data besides their related emotions. This is important, as it will be the educators of the future who will have to manage with Big Data at school. A nonprobability sample of 337 education students from Peru and Spain was counted. Internal consistency, as well as validity, were analysed through exploratory and confirmatory factorial analysis. The results show good psychometric values, highlighting as relevant a latent structure of six factors that includes emotional and cognitive dimensions. As a result, the profile defining the participants in relation to Big Data was identified. Finally, the implications of the Big Data for Inclusive Education in a sustainable society are discussed.


2021 ◽  
Vol 1881 (4) ◽  
pp. 042036
Author(s):  
Jiao Tan ◽  
Yonghong Ma ◽  
Ke Men ◽  
Jing Lei ◽  
Hairui Zhang ◽  
...  

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