Questions of the actualization economic evaluation of lands
DOI:
https://doi.org/10.31548/zemleustriy2018.01.006Abstract
The Law "On land evaluation" has approved three types of evaluation: soil rating, economic, monetary, which is divided into normative and expert. Each of them characterizes, according to certain indicators, the quality of the soil and the productivity of agricultural land, determines the value and has its purpose. We want to dwell on the economic evaluation of land, which allows us to assess it from the position of the main means of production in agriculture. The last of its indicators were approved in 1988 and it becomes obvious that they do not meet the current conditions of agriculture and are outdated. Under these conditions, the updating of economic land valuation data becomes relevant.
Analysis of recent researches and publications. In their scientific studies Dehtyarenko Yu., Dobryak D., Drapikovsky O., Zayats V., Mantsevich Yu.,Tretyak A., Martin A., Mykula O. and other scholars recognize the need to improve the methodological principles of economic evaluation of agricultural land in modern economic conditions.
The purpose of the study is to update the indicators of economic land evaluation in accordance with the results of agricultural enterprises.
Results of the researches and their discussion. A comparative assessment in absolute terms (UAH / ha) based on the results of the production of grain crops by agricultural enterprises in the Lviv region for 2015 and the relative values (points) based on the data of the economic appraisal of land in 1988, which makes it possible to detect differences in the economic fertility of the soil are given in Table 1.
- 1. Economic evaluation of arable land by the results of production of grain and leguminous crops by agricultural enterprises in Lviv region for 2015
Administrative-territorial area
Cost of gross output
Payback costs
Differential income
UAH/ha
Pnts.
UAH/100 UAH
Pnts.
UAH/ha
Pnts.
Brody
21585,15
54
169,03
67
4345,15
41
Busk
14251,78
55
123,25
63
-1359,26
40
Horodok
10688,38
37
98,66
53
-3937,49
18
Drohobych
9916,54
48
118,07
62
-1421,68
34
Zhydachiv
13815,14
43
141,73
54
656,21
25
Zhovkva
9631,87
45
128,86
52
-458,78
26
Zolochiv
14322,09
56
127,52
66
-839,65
43
Kamianka-Buzka
22269,46
52
123,39
61
-2096,01
36
Mykolayiv
11007,56
43
105,13
59
-3127,50
29
Mostyska
10792,59
40
119,26
58
-1424,69
26
Peremyshlyany
15026,66
35
141,25
47
664,44
16
Pustomyty
12385,12
53
142,52
65
653,73
40
Radekhiv
20795,08
47
116,72
61
-3255,95
33
Sambir
4982,69
45
174,62
57
1130,46
29
Skole
5184,34
30
120,62
43
-617,82
12
Sokal
12073,94
54
133,60
63
-126,25
39
StaryySambir
6731,40
35
104,64
54
-1953,02
21
Stryi
14646,27
39
69,97
57
-13612,60
25
Turka
5100,77
31
134,78
46
-8,45
14
Yavoriv
6167,76
35
135,32
49
14,72
18
Lviv region
16604,95
47
125,35
60
-1278,57
32
On the basis of the analysis of residue distribution in the Statistica program, the points of economic land evaluation, which correspond to its actual indicators, which we obtained on the basis of statistical information on the results of production of grain and leguminous crops by agricultural enterprises in the Lviv region for 2015, were calculated (Table 2).
- 2. Results of the economic evaluation for the cultivation of grain and leguminous crops by agricultural enterprises in the Lviv region for 2015
Administrative-territorial area
Total economic evaluation of land, points
Cost of gross output
Payback costs
Differential income
1988
2015
1988
2015
1988
2015
Brody
54
53
67
58
41
31
Busk
55
46
63
57
40
28
Horodok
37
43
53
56
18
27
Drohobych
48
42
62
57
34
28
Zhydachiv
43
46
54
57
25
29
Zhovkva
45
42
52
57
26
29
Zolochiv
56
46
66
57
43
28
Kamianka-Buzka
52
54
61
57
36
28
Mykolayiv
43
43
59
56
29
27
Mostyska
40
43
58
57
26
28
Peremyshlyany
35
47
47
57
16
29
Pustomyty
53
44
65
57
40
29
Radekhiv
47
52
61
57
33
27
Sambir
45
37
57
58
29
29
Skole
30
37
43
57
12
29
Sokal
54
44
63
57
39
29
StaryySambir
35
39
54
56
21
28
Stryi
39
46
57
55
25
23
Turka
31
37
46
57
14
29
Yavoriv
35
38
49
57
18
29
Lviv region
47
60
32
Conclusions and perspectives. In order to update the data of the economic evaluation of land in modern economic conditions, we calculated the differential income, which depends on the yield, costs and prices for the sale of grain crops. As a result of the study, negative differential indices were obtained, which were compared with the 1988 economic appraisal marks and the official statistical data of agricultural production indicators. In order to analyze the data obtained, we create an economic-mathematical model in the form of a regression equation, which reflects the relationship between the points of the economic evaluation of land in 1988 and its actual indicators. However, there is no expected relationship between them. We propose new points for economic land evaluation that reflect the real results of grain and legume production by analyzing the remnants of the correlation-regression analysis.
Key words: economic evaluation of lands, differential income, cost of production, selling price, profitability level, correlation-regression analysis, analysis of residues.
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