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    <front>
        <journal-meta>
            <journal-id journal-id-type="issn">0000-0000</journal-id>
            <journal-id journal-id-type="eissn">2564-890X</journal-id>
            <journal-title-group>
                <journal-title>Journal of Agriculture and Environment</journal-title>
            </journal-title-group>
            <issn pub-type="epub">0000-0000</issn>
            <publisher>
                <publisher-name>Cifra LLC</publisher-name>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.60797/JAE.2024.45.2</article-id>
            <article-categories>
                <subj-group>
                    <subject>Brief communication</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Strategic planning of budgetary provision of physical availability of products
                </article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    
                    <name>
                        <surname>Naleikin</surname>
                        <given-names>Andrei Aleksandrovich</given-names>
                    </name>
                    <email>andre.naleikin@yndex.ru</email>
                    <xref ref-type="aff" rid="aff-1">1</xref>

                </contrib><contrib contrib-type="author">
                    <contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-9808-8263</contrib-id>
                    <name>
                        <surname>Kholodova</surname>
                        <given-names>Marina Aleksandrovna</given-names>
                    </name>
                    <email>kholodovama@rambler.ru</email>
                    <xref ref-type="aff" rid="aff-2">2</xref>

                </contrib><contrib contrib-type="author">
                    <contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6971-5820</contrib-id>
                    <name>
                        <surname>Keleinikova</surname>
                        <given-names>Svetlana Viktorovna</given-names>
                    </name>
                    <email>s.v.kelejnikova@ruc.su</email>
                    <xref ref-type="aff" rid="aff-3">3</xref>

                </contrib><contrib contrib-type="author" corresp="yes">
                    <contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-5715-1227</contrib-id>
                    <name>
                        <surname>Samigin</surname>
                        <given-names>Denis Yurievich</given-names>
                    </name>
                    <email>vekont82@mail.ru</email>
                    <xref ref-type="aff" rid="aff-4">4</xref>

                </contrib>
            </contrib-group>
            <aff id="aff-1"><label>1</label>Research Institute for the Humanities under the Government of the Republic of Mordovia</aff><aff id="aff-2"><label>2</label>Federal Rostov Agricultural Research Centre</aff><aff id="aff-3"><label>3</label>Saransk Cooperative Institute of ANO VO Central Union of the Russian Federation Russian University of Cooperation</aff><aff id="aff-4"><label>4</label>Penza State University</aff>
            
        <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2024-05-20">
            <day>20</day>
            <month>05</month>
            <year>2024</year>
        </pub-date>
        
            
        <pub-date pub-type="collection">
            <year>2024</year>
        </pub-date>
        
            <volume>8</volume>
            <issue>45</issue>
            <fpage>1</fpage>
            <lpage>8</lpage>
            <history>
                
        <date date-type="received" iso-8601-date="2024-03-23">
            <day>23</day>
            <month>03</month>
            <year>2024</year>
        </date>
        
                
        <date date-type="accepted" iso-8601-date="2024-05-13">
            <day>13</day>
            <month>05</month>
            <year>2024</year>
        </date>
        
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00A9; 2022 The Author(s)</copyright-statement>
                <copyright-year>2022</copyright-year>
                <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open-access article distributed under the terms of the Creative Commons
                        Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution,
                        and reproduction in any medium, provided the original author and source are credited. See <uri
                                xlink:href="http://creativecommons.org/licenses/by/4.0/">
                            http://creativecommons.org/licenses/by/4.0/</uri>.
                    </license-p>
                </license>
            </permissions>
            <self-uri xlink:href="https://jae.cifra.science/archive/5-45-2024-may/10.60797/JAE.2024.45.2"/>
            <abstract>
                <p>The problem of increasing the purposefulness of state support funds for commodity producers on solving strategic tasks to ensure the physical availability of products at the level of rational consumption standards is raised. The analysis of the methods of planning state support proposed in science showed that their simulation capabilities are not enough to justify the amount of subsidies for the agriculture development and ensuring food security as a complex problem. The author has developed a methodology that makes it possible to determine the level of financial support for the production of products in the volume of physical availability and the amount of subsidies to create conditions for the resources' reproduction. The calculation algorithm consists in determining the required volume of gross output, ensuring the degree of coverage of costs for its production, taking into account subsidies at a given level of profitability. The methodology is socially oriented and takes into account the relationship between producers' incomes and agricultural workers wages. The use of the methodology in the practice of strategic planning will provide conditions for the formation of such volumes and main types of products production structure, that is optimally linked to the norms of their rational consumption.</p>
            </abstract>
            <kwd-group>
                <kwd>strategic planning</kwd>
<kwd> food security</kwd>
<kwd> physical accessibility</kwd>
<kwd> state support</kwd>
<kwd> subsidizing of commodity producers</kwd>
</kwd-group>
        </article-meta>
    </front>
    <body> 
        
 
        
<sec>
	<title>HTML-content</title>
	<p>1. Introduction</p>
	<p>Today, in the field of food security, fundamentally new strategic tasks have been set to ensure the physical and economic availability of products for every citizen of the country at the level of rational consumption standards and above. Physical is primary in relation to the economic accessibility of products – without the availability of products, it is impossible to ensure their consumption. At the same time, there is reason to believe that economic accessibility stimulates physical accessibility - demand creates supply. It is in this context that more and more scientists and specialists </p>
	<p>[1][2][3][4][5][6][7][8][9][10]</p>
	<p>In the last decade, the country's agricultural policy has intensified significantly. The volume of budget allocations allocated to support agriculture has increased significantly, and the volume of credit resources issued by banks has increased </p>
	<p>[11]</p>
	<fig id="F1">
		<label>Figure 1</label>
		<caption>
			<p>Dynamics of the ratio of the level of production per capita with rational standards for certain types of products in 2017-2022</p>
		</caption>
		<alt-text>Dynamics of the ratio of the level of production per capita with rational standards for certain types of products in 2017-2022</alt-text>
		<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="/media/images/2024-05-20/4d8c95bb-40cb-4a9a-879c-161c73ed0113.png"/>
	</fig>
	<p>[12]</p>
	<p>2. Research methods and principles</p>
	<p>Today, planning methodology has developed several fundamentally different approaches, which are offered by the All-Russian Research Institute of Economics and Standards – a branch of the Rostov Scientific Agrarian Center </p>
	<p>[13][14][15]</p>
	<p>The methodology proposed by the authors is based on methods of calculation and normative planning. Product production volumes to create physical accessibility must be consistent with the norms of rational consumption. Determining the volume of necessary funds for production should occur through a balance sheet linkage with final indicators (production volumes, resources and profitability). The technique can be considered in the form of the following algorithm (Figure 2).</p>
	<fig id="F2">
		<label>Figure 2</label>
		<caption>
			<p>Algorithm for calculating the level of financial support for agricultural production</p>
		</caption>
		<alt-text>Algorithm for calculating the level of financial support for agricultural production</alt-text>
		<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="/media/images/2024-03-23/f4868093-01dc-44b5-8aab-0063087813e1.jpg"/>
	</fig>
	<p>According to the authors, to ensure simple reproduction, the required level of profitability is in the range not lower than the price index for material and technical resources, but also not lower than the weighted average rate on deposits, otherwise the point of doing business is lost. According to the Central Bank of the Russian Federation </p>
	<p>[16][18]</p>
	<p>The methodology is socially oriented and takes into account the relationship between the income of producers and wages of workers, which in the calculations is increased to the average level for the region. The peculiarity of the methodology is also that it is based on the production and budgetary efficiency of the use of funds, which allows, at the pre-project stage, to determine and take into account indicators of production growth, efficiency, profit and profitability of production from support, as well as the payback and capacity of subsidies in agriculture. The financial component of production projects is calculated for each type of product per unit of sown area, head of animals and in general.</p>
	<p>3. Main results</p>
	<p>Calculations using the developed methodology show that in order to ensure conditions for the reproduction of labor and material and technical resources, even while maintaining the current level of material costs and depreciation, state support for agricultural production must be increased (Table 1).</p>
	<table-wrap id="T1">
		<label>Table 1</label>
		<caption>
			<p>Planned level of budget support for projects for the production of main types of agricultural products per unit of sown area</p>
		</caption>
		<table>
			<tr>
				<td>Products</td>
				<td>Reproduction</td>
				<td>Deviation of current from, %</td>
			</tr>
			<tr>
				<td>extended</td>
				<td>simple</td>
				<td>current</td>
				<td>extended</td>
				<td>simple</td>
			</tr>
			<tr>
				<td>per 1 ha</td>
				<td>2.2</td>
				<td>1.1</td>
				<td>0.6</td>
				<td>-72.7</td>
				<td>-45.5</td>
			</tr>
			<tr>
				<td>per 1 ha</td>
				<td>1.8</td>
				<td>0.7</td>
				<td>0.7</td>
				<td>-61.1</td>
				<td>0.0</td>
			</tr>
			<tr>
				<td>per 1 ha</td>
				<td>6.4</td>
				<td>1.6</td>
				<td>3.8</td>
				<td>-40.6</td>
				<td>137.5</td>
			</tr>
			<tr>
				<td>per 1 ha</td>
				<td>44.5</td>
				<td>32.9</td>
				<td>6.3</td>
				<td>-85.8</td>
				<td>-80.9</td>
			</tr>
			<tr>
				<td>per 1 ha</td>
				<td>107.1</td>
				<td>73.8</td>
				<td>19.5</td>
				<td>-81.8</td>
				<td>-73.6</td>
			</tr>
			<tr>
				<td>for 1 head.</td>
				<td>6.3</td>
				<td>4.2</td>
				<td>1.5</td>
				<td>-76.2</td>
				<td>-64.3</td>
			</tr>
			<tr>
				<td>for 1 head.</td>
				<td>1.2</td>
				<td>0.7</td>
				<td>0.4</td>
				<td>-66.7</td>
				<td>-42.9</td>
			</tr>
			<tr>
				<td>for 1 head.</td>
				<td>16.7</td>
				<td>11.6</td>
				<td>3.4</td>
				<td>-79.6</td>
				<td>-70.7</td>
			</tr>
			<tr>
				<td>Eggs, rub./head</td>
				<td>119</td>
				<td>57.7</td>
				<td>53.6</td>
				<td>-55.0</td>
				<td>-7.1</td>
			</tr>
		</table>
	</table-wrap>
	<p>So, for grain per 1 hectare of sown area it should be 1.1 thousand rubles for simple reproduction, for extended reproduction – 2.2 thousand rubles, for vegetables – 73.8 and 107.1 thousand rubles. Accordingly, for cattle meat per head of animals – 4.2 thousand rubles for simple and 6.3 thousand rubles for expanded reproduction, for milk – 11.6 and 16.7 thousand rubles per head of animals, accordingly, the share of support in resource provision and in gross output is increasing. Thus, for simple reproduction, the share of support for grain production in resource provision will be 5.5%, in gross output – 4.7%, vegetables – 11.3% and 9.7%, respectively, cattle meat – 9.7% and 8, respectively 8.3%, milk – 11.3% and 9.7%, respectively (Figure 3).</p>
	<fig id="F3">
		<label>Figure 3</label>
		<caption>
			<p>Share of support in resource provision and in gross production of main types of agricultural products</p>
		</caption>
		<alt-text>Share of support in resource provision and in gross production of main types of agricultural products</alt-text>
		<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="/media/images/2024-05-20/bc0a5e10-403c-4c5b-892a-45e4ba7a9233.png"/>
	</fig>
	<p>[18][19][20]</p>
	<p>Today there is a slight increase in prices for resources, an increase in prices for agricultural products, an increase in depreciation and wages. Taking into account possible changes in these components, the total amount of state support for agriculture was calculated by type of product. To maintain and increase the achieved level of production, a certain increase in state support is required (Table 2).</p>
	<table-wrap id="T2">
		<label>Table 2</label>
		<caption>
			<p>Planned volume of state support for agricultural production and ensuring the physical availability of products in 2024-2028</p>
		</caption>
		<table>
			<tr>
				<td>Products</td>
				<td>Simple / Advanced Reproduction</td>
			</tr>
			<tr>
				<td>2024</td>
				<td>2025</td>
				<td>2026</td>
				<td>2027</td>
				<td>2028</td>
			</tr>
			<tr>
				<td>Corn</td>
				<td>80</td>
				<td>186</td>
				<td>83</td>
				<td>192</td>
				<td>86</td>
				<td>199</td>
				<td>89</td>
				<td>206</td>
				<td>92</td>
				<td>213</td>
			</tr>
			<tr>
				<td>Sunflower</td>
				<td>6</td>
				<td>21</td>
				<td>7</td>
				<td>21</td>
				<td>7</td>
				<td>22</td>
				<td>7</td>
				<td>23</td>
				<td>7</td>
				<td>24</td>
			</tr>
			<tr>
				<td>Sugar beet</td>
				<td>4</td>
				<td>13</td>
				<td>4</td>
				<td>14</td>
				<td>4</td>
				<td>14</td>
				<td>4</td>
				<td>15</td>
				<td>4</td>
				<td>15</td>
			</tr>
			<tr>
				<td>Potato</td>
				<td>39</td>
				<td>54</td>
				<td>40</td>
				<td>56</td>
				<td>41</td>
				<td>58</td>
				<td>43</td>
				<td>60</td>
				<td>44</td>
				<td>62</td>
			</tr>
			<tr>
				<td>Vegetables</td>
				<td>100</td>
				<td>154</td>
				<td>103</td>
				<td>160</td>
				<td>107</td>
				<td>165</td>
				<td>111</td>
				<td>171</td>
				<td>114</td>
				<td>177</td>
			</tr>
			<tr>
				<td>Cattle meat</td>
				<td>25</td>
				<td>48</td>
				<td>26</td>
				<td>50</td>
				<td>27</td>
				<td>52</td>
				<td>28</td>
				<td>54</td>
				<td>29</td>
				<td>56</td>
			</tr>
			<tr>
				<td>Pig meat</td>
				<td>18</td>
				<td>37</td>
				<td>19</td>
				<td>38</td>
				<td>19</td>
				<td>39</td>
				<td>20</td>
				<td>41</td>
				<td>21</td>
				<td>42</td>
			</tr>
			<tr>
				<td>Milk</td>
				<td>228</td>
				<td>318</td>
				<td>236</td>
				<td>329</td>
				<td>244</td>
				<td>340</td>
				<td>252</td>
				<td>352</td>
				<td>261</td>
				<td>364</td>
			</tr>
			<tr>
				<td>Eggs</td>
				<td>20</td>
				<td>32</td>
				<td>21</td>
				<td>33</td>
				<td>22</td>
				<td>35</td>
				<td>23</td>
				<td>36</td>
				<td>23</td>
				<td>37</td>
			</tr>
			<tr>
				<td>Total</td>
				<td>520</td>
				<td>863</td>
				<td>538</td>
				<td>893</td>
				<td>557</td>
				<td>924</td>
				<td>576</td>
				<td>957</td>
				<td>596</td>
				<td>990</td>
			</tr>
		</table>
	</table-wrap>
	<p>To ensure the physical availability of main types of products through domestic production, the existing volume of support must be increased. For the purposes of state support for the industry, 520 billion rubles are required in 2024 for simple reproduction, 863 billion rubles for expanded reproduction, and 596 billion rubles in 2028, and 990 billion rubles, according to the simple and extended type of resource reproduction.</p>
	<p>In this regard, the structure of support will also change (Figure 4).</p>
	<fig id="F4">
		<label>Figure 4</label>
		<caption>
			<p>Structure for supporting production and ensuring physical accessibility of agricultural products</p>
		</caption>
		<alt-text>Structure for supporting production and ensuring physical accessibility of agricultural products</alt-text>
		<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="/media/images/2024-03-23/1fb40ec8-debe-453f-82e1-c4e190b70b47.jpg"/>
	</fig>
	<p>4. Conclusion</p>
	<p>Thus, the need to strengthen the targeting of state support funds to solve problems of ensuring physical accessibility based on domestic producers is dictated by the times. It is difficult to imagine full-fledged planning in this context without appropriate methodological support. The insufficiency of the functional and simulation capabilities of the methods proposed in science does not allow justifying the amount of support taking into account the complexity of the problem of agricultural development and ensuring food security. The author proposes his own methodology, the essence of which is, first of all, to determine the level of financial support for production in the amount of physical availability and the amount of subsidies to create conditions for the reproduction of expended resources. Where physical accessibility is formed, it is recommended to use the profitability value for simple reproduction in calculations, otherwise, for expanded reproduction. The methodology is socially oriented and takes into account the relationship between the income of producers and wages of workers, which in the calculations is increased to the average level for the region. The methodology is of interest to authorities making strategic decisions related to the provision of resources to state programs in agriculture and aimed at achieving goals in the field of food security.</p>
</sec>
        <sec sec-type="supplementary-material">
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            <p>The additional file for this article can be found as follows:</p>
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                    <p>Further description of analytic pipeline and patient demographic information. DOI:
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                            <uri>https://doi.org/10.60797/JAE.2024.45.2</uri>
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            <title>Acknowledgements</title>
            <p>None</p>
        </ack>
        <sec>
            <title>Competing Interests</title>
            <p>None</p>
        </sec>
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    <fundings>
        
                <funding lang="RUS">The research was funded by the Russian Science Foundation (RSF) and Penza Region, grant number 23-28-10277, https://rscf.ru/en/project/23-28-10277/.</funding>
                
                <funding lang="ENG">Исследование выполнено за счет гранта Российского научного фонда № 23-28-10277, https://rscf.ru/project/23-28-10277/ и Пензенской области.</funding>
                
    </fundings>
</article>