Data Mining of Regional Economic Analysis Based on Mobile Sensor Network Technology

With the continuous development of regional economy, the difference of regional economy has also aroused the attention of all walks of life. Due to the limitations of the traditional research methods, the research results are relatively simple and unable to conduct a more comprehensive analysis. The traditional methods include the following: (1) analyze the evolution of regional logistics based on the location Gini coefficient and location quotient of GIS, and reflect the situation of industrial agglomeration from the annual change curve of the location Gini coefficient; (2) use SPSS12.0 software to perform multivariate or event factors, and analyze and calculate the factor score to sum up several principal component factors; and (3) the production function analysis method is used to measure the economies of scale and agglomeration. As an extension, the relationship between the estimated total output and the agglomeration index of the factor input to measure the uniform state of the industrial distribution department is an effective measurement method for the agglomeration economy. In order to promote the sustainable development of regional economy, this paper analyzes the regional economy comprehensively based on the emerging mobile sensor network technology and data mining technology. Firstly, this paper analyzes the location technology of mobile sensor networks based on sequential Monte Carlo, selects the C -means clustering method which is suitable for economic large-sample clustering analysis, and constructs a complete data mining model. Then, the model is used to analyze the economic, social, natural, and educational science and technology indicators of a certain region from 2015 to 2019. The results show that the first principal component weight of economic indicators is the highest proportion of fiscal revenue, which is 0.986. This shows that the role of fiscal revenue in economic indicators is greater. The main index of urban consumption is 72.0, which is the highest. This shows that the population growth rate and the average consumption of urban households in social indicators play a greater role. The first principal component of natural index has the highest weight of pollution emission, which is 0.47, while the second principal component has the highest weight of total energy consumption, which is 0.48. This shows that the pollution emissions and total energy consumption in the natural indicators play a greater role. In the educational science and technology index, the first principal component weight is the highest, which is 0.61. This shows that the education funds play an important role in educational science and technology indicators. Therefore, the data mining model based on mobile sensor network technology can comprehensively and accurately analyze various indicators of regional economy.

The Impact of Convention and Exhibition Industry on Regional Economic Development Based on Grey Relational Model

Since the exhibition is an exhibition industry, it has got so much importance by many countries. In China, the development of the said industry is wonderful. Therefore, we use the grey relational model to study the impact of convention. Moreover, the exhibition industry on regional economic development is proposed, and the concept and characteristics of exhibition industry, exhibition economy, and the research results of exhibition industry at home and abroad are expounded in detail. Then, according to the influence mechanism of exhibition industry on regional economy, the grey relational model is used to analyze the economic development of Changsha from 2012 to 2016. The analysis disclosed that the exhibition industry remained the main driving force of Changsha’s economic development in these five years, which effectively promoted the economic development and the benign growth of various industries in Changsha.

Study of proposed activities in development of BUMD for regional development

There are still very few regulations governing the development of BUMD, even though the role of BUMD in regional development is very central. The role of BUMD is very strategic in the regional economy and development. One of these studies focuses on describing the function of BUMD in regional development. While the analytical methods used are APKL, USG, and Mc. Namara methods. In this study, the strategic issue in fostering the selected BUMDs is the lack of comprehensive governance of Regional Equity Participation (PMD) in BUMDs. Of the selected strategic issues, the solution is the preparation of Regional Regulations related to PMD governance. On this basis, five activities are proposed to support the realization of governance of regional capital participation, including the preparation of an academic draft study of regional regulations on the governance of regional equity participation in BUMD. From the results of the analysis, it is suggested that considering that BUMD belongs to the regional government and contains a high dose of politics, the PMD process requires a political approach in addition to a systematic technocratic approach.

Assessment of the Trend and Development of Regional Economy in Central Asia

Assessment the trend of regional economic development is significant to address the economic situation and developmental policy. This study assesses the regional economic development in Central Asia since 1992. Several developmental indicators were applied. The results demonstrated that the regional economy was gradually growing. Relatively, Kazakhstan, Uzbekistan and Turkmenistan enjoyed a rapid economic growth. Production of oil increased in Kazakhstan as exporting rose to China whereas declined in Uzbekistan – shifted to natural gas. Central Asia is moving gradually toward industrial and trade economic sector. Nevertheless, enormous natural resources were exported from Central Asia to China and Russia, and strong economic relationship was established with Europe, India and Algeria. Therefore, this research is significant for general understanding in economic growth of Central Asia, and it may be helpful for further studies.

Mechanisms of interaction between employers and vocational educational organizations in a situation of uncertainty

In a situation of uncertainty, there is a rapid change of priorities, which is reflected both in the requirements for the level of professional training of specialists and in the requests of employers for new specialties. However, the list of specialties and areas of training of workers for the regional economy in the regional system of secondary vocational education is formed on the basis of applications from employers for a five-year perspective, but in a situation of uncertainty, no one can guarantee that in five years graduates of a particular specialty or profession will be in demand in the labor market. To achieve a balance in this problem, it is necessary to develop and implement new mechanisms for interaction between professional educational organizations and employers. The aim of this study is to determine the list of popular vocational education specialties, the description and identification of effective mechanisms of interaction between professional educational organizations and employers that affect the improvement of the quality of specialists training and the indicators of their employment according to their specialty based on the analysis of the indicators of the admission campaign and graduates employment of vocational education system of the Republic of Buryatia.

Açaí production in the municipality of São Miguel do Guamá, Pará: perspective of açaí beaters

The pulp of the açaí fruit is a staple food for a large part of the population of Pará. Nonetheless, despite the significance of açaí product for the regional economy, there is a gap in the literature on the market potential for processing this fruit. Thus, the objective of this study was to identify the challenges and opportunities of açaí beaters in the development of the activity in the municipality of São Miguel do Guamá, state of Pará, Brazil. This investigation is characterized as applied research, composed of qualitative and quantitative approaches. Data collection was based on interviews with açaí beaters and with linked production chains: middlemen, waste loaders, financial support institutions, and support institutions. The results were submitted to SWOT analysis to determine the risk factors of the internal-external matrix. As an internal risk factor, it was observed the difficulty to maintain income during the harvest period, given the decrease in the availability of raw materials and the drop in the price of the product. Externally, the risk is due to the lack of strengthening of collective organizations. It was also observed that there is a great distance between the açaí beaters and the public actors of the support institutions. The SWOT analysis was effective in identifying the activity that faces severe threats and weaknesses, internally and externally, which serves as a warning to the municipality, institutions, and actors regarding the greater attention needed to its production chain, which is evidenced by the lack of investments in this activity.

Research on the Impact of Regional Economy on Industrial Development from the Perspective of Big Data

In order to study the driving force of China’s rapid economic development in the past ten years, the study takes Guizhou, Yunnan, and Guangxi as a case study, focusing on the big data assets exchange (GBDEx) and Beibu Gulf Economic Zone, and discusses the impact of Internet plus economic and government data and the big data system on regional economy. Finally, it is believed that the Internet and big data fully avoid the disadvantages of traffic distance between the western region and the eastern region, make full and efficient cooperation between enterprises and institutions in the central and western regions and Chinese and foreign economic entities, and strengthen the control of economic behavior from the big data level with the support of the service-oriented government. The information entropy output from the Internet big data system has led to a significant entropy reduction process in China’s economic environment and a more orderly economic system, which is also an important reason for the rapid development of China’s economy.