Self-development of rural areas under digital economy conditions as exemplified by Northwestern Federal District regions

Александров, И. Н.; Burmistrov, Andrey; Rasskazova, Olga; Fedorova, Marina

doi:10.1088/1757-899x/497/1/012003

Cited by 8 publications

(7 citation statements)

References 5 publications

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“…One of the most perspective niches for the countryside we consider to be e-commerce [12]. Moreover, the development of service industry in the Internet in rural area can take different images [13] taking into account cultural and natural resources of a territory and its human capital. Development of e-commerce in rural territory could boost the development of entrepreneurial activity of rural local people and increase the employment.…”

Section: Discussionmentioning

confidence: 99%

Premises for the development of digital services in Russian rural areas in search of sustainability

2021

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The objective of the paper is to analyses the premises of the development of e-commerce and other various online services possible to be provided by rural people. As far as our former researches show that rural community is concerned about its environment and do its best to preserve nature and cultural heritage, but lack of resources make obstacles to stop some natural problems. Moreover, rural people suffer from unemployment, so their priority is to find a job and means for life. We see that new job opportunities could solve the problem of unemployment and boost new activities to take care of their homeland. So we analyze the level of Internet penetration to the countryside and how it influences on new opportunities for employment in the countryside.

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Section: Discussionmentioning

confidence: 99%

Premises for the development of digital services in Russian rural areas in search of sustainability

2021

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“…5. Tuskov, A.A. [17] Digital economy is the economy model based on information technology and network communications infrastructure of many market actors in order to achieve synergistic effects in production and financial business processes.…”

Section: Kenzhabaev At [9]mentioning

confidence: 99%

Agriculture sphere in the era of Industry 4.0: the world experience and Russian practice of the digital business model building in the agroindustry

et al. 2021

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The articel is devoted to the study of digital reforms in the agro-industrial complex of Russia and the assessment of opportunities and threats for the sustainable socio-economic development of the country. The article also considers business cases of successful digitalization of agriculture and assesses the economic effects of digital technologies, and forms a scenario for the further development of the agro-industrial complex taking into account global trends in the development of the digital economy.

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“…Igor discussed the theoretical problems of regional evaluation of independent development under the condition of digital economy. He also introduced the indicators and strategic objectives of digital economy development in rural areas [5]. Briglauer et al found that increasing the broadband coverage can protect rural areas from population decline [6].…”

Section: Introductionmentioning

confidence: 99%

Rural Revitalization and Digital Financial Economic Development Model Based on Multimodal Sensor Fusion

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2022

Mobile Information Systems

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Since the 19th National Congress of the Communist Party of China, the key to rural development has been to solve the problem of rural development. The “three rural issues” is a critical issue for the country’s economy. In addition, the implementation of the Rural Revitalization Strategy under the environment of data financial and economic development can be more convenient and efficient. However, the traditional sensor fusion technology still has the disadvantages of low efficiency and high cost in the application of Rural Revitalization and digital financial economic development model. In order to solve the shortcomings of this technology, this paper proposes a multimodal sensor fusion technology combined with BP neural network (BPNN, a commonly used feedback neural network) and Kalman filter (a linear filtering algorithm), and it constructs a rural economic development model combined with digital finance. This paper uses this technology to study the economic development model. Firstly, the research method is to visit and investigate the residents and basic economic situation of a village and then use the economic development model constructed in this paper to carry out the economic analysis of the BPNN model and Kalman filter model. It includes Mohr scatter diagram, economic income, industrial investment, product export, and household consumption. The results show that the Mohr scatter diagram of the village changes from the third quadrant (−0.7, −0.5) to the first quadrant (−0.7, 0.3); the difference between the economic income calculated by the Kalman filter algorithm and BPNN algorithm and the actual value shall not exceed 10%. The rural industrial investment index increased by 56.08, the product export index increased by 30.11, and the household consumption index increased by 13.10. It shows that the economic development model constructed in this paper has achieved good results.

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Self-development of rural areas under digital economy conditions as exemplified by Northwestern Federal District regions

Cited by 8 publications

References 5 publications

Premises for the development of digital services in Russian rural areas in search of sustainability

Premises for the development of digital services in Russian rural areas in search of sustainability

Agriculture sphere in the era of Industry 4.0: the world experience and Russian practice of the digital business model building in the agroindustry

Rural Revitalization and Digital Financial Economic Development Model Based on Multimodal Sensor Fusion

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