Crop production in Russia 2030: Alternative data of the development scenarios
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 breakt...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-04-01
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| Series: | Data in Brief |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340919314337 |
| _version_ | 1811337399567908864 |
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| author | Evgeny Vladimirovich Rudoy Marina Sergeevna Petukhova Andrey Fedorovich Petrov Svetlana Yurievna Kapustyanchik Inga Nikolaevna Ryumkina Sergey Vladimirovich Ryumkin |
| author_facet | Evgeny Vladimirovich Rudoy Marina Sergeevna Petukhova Andrey Fedorovich Petrov Svetlana Yurievna Kapustyanchik Inga Nikolaevna Ryumkina Sergey Vladimirovich Ryumkin |
| author_sort | Evgeny Vladimirovich Rudoy |
| collection | DOAJ |
| description | 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. Keywords: Crop production, Seed growing, Organic farming, Scenarios, Gross yield, Productivity, Sown area, Forecasting |
| first_indexed | 2024-04-13T17:54:22Z |
| format | Article |
| id | doaj.art-9367d5368bfc4e02b334fa31f9930016 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-04-13T17:54:22Z |
| publishDate | 2020-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-9367d5368bfc4e02b334fa31f99300162022-12-22T02:36:35ZengElsevierData in Brief2352-34092020-04-0129Crop production in Russia 2030: Alternative data of the development scenariosEvgeny Vladimirovich Rudoy0Marina Sergeevna Petukhova1Andrey Fedorovich Petrov2Svetlana Yurievna Kapustyanchik3Inga Nikolaevna Ryumkina4Sergey Vladimirovich Ryumkin5Branch Center for Forecasting and Monitoring of Scientific and Technological Development of Agroindustrial Complex, Novosibirsk State Agrarian University, Novosibirsk, Russian FederationBranch Center for Forecasting and Monitoring of Scientific and Technological Development of Agroindustrial Complex, Novosibirsk State Agrarian University, Novosibirsk, Russian FederationBranch Center for Forecasting and Monitoring of Scientific and Technological Development of Agroindustrial Complex, Novosibirsk State Agrarian University, Novosibirsk, Russian FederationBranch Center for Forecasting and Monitoring of Scientific and Technological Development of Agroindustrial Complex, Novosibirsk State Agrarian University, Novosibirsk, Russian FederationBranch Center for Forecasting and Monitoring of Scientific and Technological Development of Agroindustrial Complex, Novosibirsk State Agrarian University, Novosibirsk, Russian FederationCorresponding author.; Branch Center for Forecasting and Monitoring of Scientific and Technological Development of Agroindustrial Complex, Novosibirsk State Agrarian University, Novosibirsk, Russian FederationThis 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. Keywords: Crop production, Seed growing, Organic farming, Scenarios, Gross yield, Productivity, Sown area, Forecastinghttp://www.sciencedirect.com/science/article/pii/S2352340919314337 |
| spellingShingle | Evgeny Vladimirovich Rudoy Marina Sergeevna Petukhova Andrey Fedorovich Petrov Svetlana Yurievna Kapustyanchik Inga Nikolaevna Ryumkina Sergey Vladimirovich Ryumkin Crop production in Russia 2030: Alternative data of the development scenarios Data in Brief |
| title | Crop production in Russia 2030: Alternative data of the development scenarios |
| title_full | Crop production in Russia 2030: Alternative data of the development scenarios |
| title_fullStr | Crop production in Russia 2030: Alternative data of the development scenarios |
| title_full_unstemmed | Crop production in Russia 2030: Alternative data of the development scenarios |
| title_short | Crop production in Russia 2030: Alternative data of the development scenarios |
| title_sort | crop production in russia 2030 alternative data of the development scenarios |
| url | http://www.sciencedirect.com/science/article/pii/S2352340919314337 |
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