| Literature DB >> 32021882 |
Evgeny Vladimirovich Rudoy1, Marina Sergeevna Petukhova1, Andrey Fedorovich Petrov1, Svetlana Yurievna Kapustyanchik1, Inga Nikolaevna Ryumkina1, Sergey Vladimirovich Ryumkin1.
Abstract
This article reveals the main indicators of scientific and technological development (gross yield, yield, acreage and average annual prices for crop products) of the crop industry in the long term. Using these indicators, two development scenarios "Technological adaptation" and "Technological breakthrough" of the crop production sector until 2030 were identified. Scenarios for the development of the crop production industry in Russia until 2030 were constructed by means of a correlation and regression analysis. The objectivity of using the obtained regression equations is confirmed by the strong relationship between factors and gross yield. These factors are the basis for determining the gross yield of each crop in 2030. The article also presents the forecast of export volumes of agricultural crops in Russia. Predicted indicators of the Russian crop industry indicate an increase in the volume of seed and organic products.Entities:
Keywords: Crop production; Forecasting; Gross yield; Organic farming; Productivity; Scenarios; Seed growing; Sown area
Year: 2020 PMID: 32021882 PMCID: PMC6994831 DOI: 10.1016/j.dib.2019.105077
Source DB: PubMed Journal: Data Brief ISSN: 2352-3409
Results of the regression analysis.
| Crop | The resulting regression equation |
|---|---|
| Grain | у = 5,54х1 + 0,002х2 – 0,001х3 – 96,8 |
| Wheat | у = 3,42х1 + 0,001х2 – 0,0006х3 – 46,5 |
| Corn | у = 0,15х1 + 0,003х2 + 0,0003х3 – 5,7 |
| Rye | у = 0,22х1 + 0,002х2 – 0,00005х3 – 3,8 |
| Buckwheat | у = 0,13х1 + 0,0007х2 + 0,000002х3 – 1,1 |
| Rice | у = 0,01х1 + 0,003х2 + 0,000008х3 + 0,3 |
| Barley | у = 0,9х1 + 0,002х2 + 0,00006х3 – 22,4 |
| Soybeans | у = 0,1х1 + 0,001х2 – 0,000001х3 – 1,4 |
| Sunflower | у = 0,8х1 + 0,0006х2 + 0,000005х3 – 6,7 |
| Rapeseed | у = 0,03х1 + 0,003х2 + 0,00009х3 – 3,5 |
| Sugar beet | у = 0,1х1 + 0,003х2 + 0,0002х3 – 29,8 |
| Potatoes | у = 0,23х1 + 0,01х2 – 0,0001х3 – 26,2 |
| Open grounds vegetables | у = 0,06х1 + 0,01х2 – 0,000005х3 – 7,9 |
Fig. 1The diagram of the distribution of correlation coefficients between factors of production and the indicator of gross harvest.
Forecast change in crop production volume and structure in 2030.
| Crop | 2017 г. | Scenario | Scenario | |||
|---|---|---|---|---|---|---|
| Million tons | % | Million tons | % | Million tons | % | |
| Wheat | 85,5 | 63,8 | 88,6 | 60,4 | 97,2 | 60,3 |
| Corn | 12,1 | 9,0 | 24,5 | 16,7 | 26,0 | 16,1 |
| Barley | 20,6 | 15,4 | 15,8 | 10,8 | 25,1 | 15,6 |
| Rye | 2,5 | 1,9 | 1,8 | 1,2 | 2,9 | 1,8 |
| Buckwheat | 1,5 | 1,1 | 1,5 | 1,0 | 1,8 | 1,1 |
| Rice | 1 | 0,7 | 1,4 | 1,0 | 2,1 | 1,3 |
| other | 10,9 | 8,1 | 13,1 | 8,9 | 6,1 | 3,8 |
| Sunflower | 9,6 | 62,3 | 14,1 | 59,2 | 15,2 | 56,9 |
| Soybeans | 3,6 | 23,4 | 4,1 | 17,2 | 5,8 | 21,7 |
| Rapeseed | 1,5 | 9,7 | 4,7 | 19,8 | 6,0 | 22,5 |
| other | 0,7 | 4,5 | 0,9 | 3,8 | 1,5 | 5,6 |
| – | – | – | ||||
| – | – | – | ||||
| open ground | 15,4 | 94,2 | 16,1 | 91,5 | 17,7 | 84,3 |
| protected ground | 0,95 | 5,8 | 1,5 | 8,5 | 3,3 | 15,7 |
Bold text indicates the total values for groups of agricultural crops cultivated in Russia. Within each group, the specific weight of each culture in the final value of the group is represented. Exceptions are potatoes and sugar beets.
Fig. 2Export of major crop crops under the proposed scenarios (in millions of tons).
Forecast need for seeds of agricultural crops for each of the scenarios in 2030 in the Russian Federation.
| Crops | Actually sown in 2017 | Scenario | Scenario | ||
|---|---|---|---|---|---|
| thousand tons | thousand tons | Growth rate, in % | thousand tons | Growth rate, in % | |
| 104,0 | 110,0 | ||||
| Wheat | 5738,7 | 5968,2 | 104,0 | 6771,7 | 118,0 |
| Barley | 1680,1 | 1764,1 | 105,0 | 1932,1 | 115,0 |
| Oats | 682,4 | 699,5 | 102,5 | 682,4 | 100,0 |
| Buckwheat | 110,4 | 113,7 | 103,0 | 119,2 | 108,0 |
| Rice | 48,4 | 50,8 | 105,0 | 53,2 | 110,0 |
| other | 889,1 | 918,7 | 103,3 | 505,4 | 56,8 |
Forecast of organic agriculture development indicators according to the scenarios “Technological adaptation” and “Technological breakthrough” in the Russian Federation by 2030.1
| Indicators | 2016 year | Scenario | Scenario |
|---|---|---|---|
| The number of certified organic producers, units | 80 | 450 | 1500 |
| The volume of organic products market, in million US dollars | 160 | 918 | 1888 |
| Area of certified land, million hectares | 0,25 | 1,44 | 4,5 |
| Consumption of organic products per capita, in US dollars | 1,1 | 45 | 70 |
The forecast is based on expert assessments.
Fig. 3The projected growth of the organic products market in the Russian Federation under the scenarios “Technological adaptation” and “Technological breakthrough”.
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| Related research article |
The regression equations make it possible to calculate the forecast gross yield of crops in the country for two different scenarios; These data can also be used to develop strategic documents in the crop sector; The data allow us to build a probable picture of the future scientific and technological development of the Russian crop production industry. |