Scenario Forecasting of the Agri-Food Sphere in Rural Territories Development in the Conditions of Digital Economy Formation

被引:8
作者
Gusmanov, Rasul [1 ]
Stovba, Eugene [2 ]
Paptsov, Andrey [3 ]
Salimova, Guzel [1 ]
Gusmanow, Nurali [4 ]
机构
[1] Bashkir State Agr Univ, Fed State Budgetary Educ Estab Higher Educ, Ufa, Russia
[2] Bashkir State Univ, Birsk Branch Fed State Budgetary Educ Estab Highe, Birsk, Russia
[3] All Russian Sci Res Inst Agr Econ, Fed Sci Ctr Agr Econ & Social Dev Rural Areas, Fed State Budgetary Sci Inst, Moscow, Russia
[4] Ufa State Aviat Tech Univ USATU, Ufa, Russia
关键词
Countryside; digital technologies; food; forecasting; scenario approach; strategy; PRECISION AGRICULTURE; SEED TREATMENT; MANAGEMENT; TECHNOLOGIES; PARAMETERS;
D O I
10.1142/S2424862222500063
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
The study aims to scientifically substantiate the application of the scenario approach in predicting the development of the agri-food sector in rural areas. The conceptual novelty of the study is that it develops a scenario forecasting algorithm for the development of the agri-food sector of rural areas in the digital economy. It also clarifies methodological approaches and recommendations for forecasting production volumes of certain agri-food products at the zonal level. The paper shows that digitalization is one of the critical factors that directly ensure an increase in agribusiness efficiency in the current conditions in agriculture. An assessment of the impact of digital transformation processes on the activities of agricultural producers is given, and the advantages of using modern digital technologies in the agricultural sector are highlighted. Furthermore, the results of scenario forecasting of production volumes of agri-food products by farms of all categories are presented in the example of the non-black soil zone of the Republic of Bashkortostan. The study's preliminary results are as follows: the world experience in scientific research on the use of digital technologies in the activities of agricultural producers was generalized.
引用
收藏
页码:257 / 272
页数:16
相关论文
共 48 条
[1]   A two-stage metaheuristic algorithm for the dynamic vehicle routing problem in Industry 4.0 approach [J].
Abdirad, Maryam ;
Krishnan, Krishna ;
Gupta, Deepak .
JOURNAL OF MANAGEMENT ANALYTICS, 2021, 8 (01) :69-83
[2]  
Adukov R. K., 2018, Ekonomika Sel'skokhozyaistvennykh i Pererabatyvayushchikh Predpriyatii, P10
[3]  
Ahmetzhanov B., 2018, INT J ENERGY EC POLI, V8, P113
[4]  
Akhmetzhanov B., 2019, INT J SUPPLY CHAIN M, V8, P624
[5]  
Aleskerova Y., 2019, J EC SCI THEORY PRAC, V76, P34
[6]   Digital Marketplace and FinTech to Support Agriculture Sustainability [J].
Anshari, Muhammad ;
Almunawar, Mohammad Nabil ;
Masri, Masairol ;
Hamdan, Mahani .
5TH INTERNATIONAL CONFERENCE ON POWER AND ENERGY SYSTEMS ENGINEERING (CPESE 2018), 2019, 156 :234-238
[7]  
Babayev B., 2020, J EC SCI THEORY PRAC, V77, P70
[8]  
Babayev B., 2019, J EC SCI THEORY PRAC, V76, P46
[9]   Agricultural technology assessment for smallholder farms: An analysis using a farm simulation model (FARMSIM) [J].
Bizimana, Jean-Claude ;
Richardson, James W. .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2019, 156 :406-425
[10]   Electronic agriculture, blockchain and digital agricultural democratization: Origin, theory and application [J].
Chen, Yiyan ;
Li, Ye ;
Li, Cunjin .
JOURNAL OF CLEANER PRODUCTION, 2020, 268