| Literature DB >> 33491144 |
Abstract
The aim of the conducted study was to characterize the attitudes and practices of Polish farmers in the area of performing chemical plant protection treatments. A particular attention was paid to identifying the relationship between the direction of changes in the volume of chemical plant protection product consumption and selected attributes of farms. The main time range of the analyses covered the period of 2013-2017. Statistical data and results of representative surveys carried out on a sample of 1101 farms in Poland were used in the research process. Due to the large number of variants of the analysed variables, a multiple correspondence analysis was used, which made it possible to determine the correlation between the examined features (direction of changes in pesticide use relative to the farm area, economic size of the farm and location of the farm). Statistical analysis showed the existence of strong relationships between the physical (1) and economic (2) size of farms and the direction of changes in pesticide consumption ((1) φ2 = 0.0907; (2) φ2 = 0.1141)). According to empirical studies, the reduction of pesticide consumption took place mainly on the smallest farms. The implementation of the integrated plant protection directive has not resulted in significant changes in the form of reduced pesticide use in large-scale field crops. This raises the need to modify the strategy and model of crop protection in large-scale field crops in Poland.Entities:
Keywords: Chemical plant protection; Integrated pest management (IPM); Multiple correspondence analysis (MPA)
Mesh:
Substances:
Year: 2021 PMID: 33491144 PMCID: PMC8159817 DOI: 10.1007/s11356-020-12283-w
Source DB: PubMed Journal: Environ Sci Pollut Res Int ISSN: 0944-1344 Impact factor: 4.223
Fig. 1.Main food producing areas in Poland and spatial extent of field studies. Source: Own elaboration based on https://www.igipz.pan.pl/tl_files/igipz/ZGWiRL/ARP/01.Znaczenie%20rolnictwa%20w%20gospodarce%20Polski.pdf (accessed 13.07.2020)
Basic general characteristics of interviewed farmers
| Specification | Population | Share in the test sample |
|---|---|---|
| (pcs) | (%) | |
| Age of respondents | ||
| 18–29 y | 128 | 11.6 |
| 30–39 y | 250 | 22.7 |
| 40–49 y | 328 | 29.8 |
| 50–59 y | 281 | 25.5 |
| > 60 y | 102 | 9.3 |
| No data | 12 | 1.1 |
| Total | 1101 | 100 |
| Gender of respondents | ||
| Women | 197 | 17.9 |
| Men | 901 | 81.8 |
| No data | 3 | 0.3 |
| Total | 1101 | 100 |
| Education level of respondents | ||
| Primary | 44 | 4.0 |
| Graduate vocational school | 389 | 35.3 |
| Secondary | 518 | 47.0 |
| Higher | 142 | 12.9 |
| No data | 8 | 0.7 |
| Total | 1101 | 100 |
| Number of years worked in agricultural holding | ||
| 1–5 y | 90 | 8.2 |
| 6–10 y | 146 | 13.3 |
| 11–15 y | 119 | 10.8 |
| 16–20 y | 172 | 15.6 |
| 21–25 y | 138 | 12.5 |
| 26–30 y | 152 | 13.8 |
| > 31 y | 282 | 25.6 |
| No data | 2 | 0.2 |
| Total | 1101 | 100 |
| Selected features of agricultural holdings | ||
| Area of agricultural lands (ha) | ||
| < 5 | 88 | 8.0 |
| 5–9.99 | 195 | 17.7 |
| 10–14.99 | 191 | 17.3 |
| 15–19.99 | 136 | 12.4 |
| 20–29.99 | 164 | 14.9 |
| 30–49.99 | 170 | 15.4 |
| 50–99.99 | 115 | 10.4 |
| >100 | 41 | 3.7 |
| No data | 1 | 0.1 |
| Total | 1101 | 100 |
| Economic size of agricultural holding (SO) | ||
| €< 10,000 | 316 | 28.7 |
| €10,100–13,000 | 156 | 14.2 |
| €13,100–20,000 | 188 | 17.1 |
| €20,100–50,000 | 232 | 21.1 |
| €50,100–100,000 | 99 | 9.0 |
| €100,100–200,000 | 40 | 3.6 |
| €> 200,000 | 4 | 0.4 |
| No data | 66 | 6.0 |
| Total | 1101 | 100 |
Source: Own study based on questionnaire surveys (N = 1101)
Fig. 2.Market share and position of Poland in the classification in terms of the production volume of selected agricultural products in the European Union in 2018. Source: Statistical Yearbook of Agriculture, Statistics Poland, Warsaw 2020
Sales of pesticides in EU in 2018
| Specification | Fungicides and bacteriocides | Herbicides, haulm destructors and moss killers | Insecticides and acaricides | Molluscicides | Plant growth regulators | Other plant protection products |
|---|---|---|---|---|---|---|
| (tonnes) | ||||||
| Belgium | 2458 | 2648 | 476 | 16 | 269 | 769 |
| Bulgaria | 1798 | 2607 | 593 | (c) | 18 | 25 |
| Czechia | 1755 | 2572 | 292 | 8 | 265 | 287 |
| Denmark | 484 | 1905 | 44 | 15 | 202 | 1 |
| Germany | 11,682 | 14,533 | 16,237 | 154 | 2138 | 181 |
| Estonia | 107 | 428 | 29 | (c) | 73 | (c) |
| Ireland | 602 | 1833 | 29 | 10 | 161 | 17 |
| Greece | 1729 | 1833 | 1009 | 2 | 119 | 169 |
| Spain | 38,067 | 16,593 | 6488 | (c) | 195 | (c) |
| France | 39,087 | 34,392 | 5728 | 385 | 3567 | 1811 |
| Croatia | 767 | 718 | 127 | 2 | 80 | 4 |
| Italy | 31,539 | 6880 | 1653 | 36 | 475 | 13,455 |
| Cyprus | 823 | 161 | 151 | 2 | 0 | 47 |
| Latvia | 213 | 965 | 36 | 5 | 355 | 13 |
| Lithuania | 677 | 1054 | 57 | (c) | 262 | (c) |
| Luxembourg | (c) | 54 | (c) | 0 | 8 | (c) |
| Hungary | 3535 | 3824 | 787 | 1 | 169 | 219 |
| Malta | 83 | 3 | 3 | 1 | 0 | (c) |
| Netherlands | 4288 | 2978 | 243 | 11 | 386 | 1476 |
| Austria | 2269 | 1277 | 1569 | 6 | 84 | 75 |
| Poland | 7992 | 11,371 | 1770 | (c) | 1609 | 415 |
| Portugal | 4335 | 1939 | 675 | 11 | 3 | 1095 |
| Romania | 4542 | 5188 | 1012 | 5 | 313 | 48 |
| Slovenia | 849 | 257 | 55 | 2 | 5 | 4 |
| Slovakia | 676 | 1329 | 151 | 1 | 268 | 65 |
| Finland | 3814 | 982 | 21 | 1 | 68 | 14 |
| Sweden | 223 | 1483 | 94 | (c) | 50 | 22 |
Source: https://ec.europa.eu/eurostat/statistics-explained/images/b/be/Table_1_Sales_of_pesticides%2C_by_country%2C_2011_and_2018_%28tonnes%29.png (accessed 24.09.2020)
(c) confidential value
Fig. 3.Average use of pesticides per area of cropland from 2014 to 2018 in European countries. Source: Authors’ own elaboration based on http://www.fao.org/faostat/en/#data/EP/visualize (accessed 14.10.2020)
Fig. 4.Sales of plant protection products in Poland. Deliveries on the domestic market by producers and importers; from 2018 by holders of the authorization of the Minister of Agriculture and Rural Development for the marketing of plant protection products. Source: Authors’ own elaboration based on Means of production in agriculture in the 2018/19 farming year. Statistics Poland, Warsaw 2020
Consumption of plant protection products in the studied crops in Poland in 2014–2018 (in kg of active substance/ha of crop)
| Specification | Fungicides and bactericides | Herbicides, haulm destructors and moss killers | Insecticides and acaricides | Other plant protection products | Total |
|---|---|---|---|---|---|
| 2014 | |||||
| Fodder beet | 0.06 | 0.81 | 0.01 | 0.00 | 0.88 |
| Spring wheat | 0.21 | 0.38 | 0.00 | 0.09 | 0.68 |
| Oat | 0.01 | 0.52 | 0.00 | 0.01 | 0.54 |
| Currant | 1.02 | 0.59 | 0.10 | 0.00 | 1.71 |
| Plum | 1.68 | 0.37 | 0.32 | 0.00 | 2.37 |
| 2015 | |||||
| Cereal mixtures | 0.01 | 0.55 | 0.00 | 0.00 | 0.56 |
| Winter barley | 0.45 | 0.60 | 0.01 | 0.01 | 1.12 |
| Cherries | 2.07 | 0.01 | 0.06 | 0.00 | 2.14 |
| 2016 | |||||
| Winter tricale | 0.24 | 0.44 | 0.01 | 0.08 | 0.76 |
| Corn | 0.02 | 0.71 | 0.01 | 0.01 | 0.75 |
| Sugar beet | 0.25 | 2.35 | 0.04 | 0.03 | 2.67 |
| Onion | 2.46 | 1.78 | 0.02 | 0.30 | 4.56 |
| Carrot | 0.55 | 0.96 | 0.15 | 0.00 | 1.66 |
| Pear | 5.61 | 0.13 | 0.34 | 0.00 | 6.08 |
| 2017 | |||||
| Cucumbers | 3.80 | 0.04 | 0.01 | 0.00 | 3.85 |
| Cucumber under shelter | 2.93 | 0.00 | 0.04 | 0.00 | 2.98 |
| Ground tomatoes | 6.69 | 0.36 | 0.00 | 0.19 | 7.24 |
| Tomatoes under shelter | 2.53 | 0.00 | 0.06 | 0.00 | 2.60 |
| Winter wheat | 0.55 | 0.41 | 0.05 | 0.31 | 1.32 |
| Strawberries | 1.95 | 0.73 | 0.04 | 0.03 | 2.74 |
| Potatoes | 2.79 | 0.64 | 0.04 | 0.01 | 3.49 |
| Rye | 0.08 | 0.17 | 0.00 | 0.06 | 0.31 |
| 2018 | |||||
| Apple | 9.90 | 0.30 | 0.25 | 0.01 | 10.46 |
| Spring barley | 0.11 | 0.48 | 0.01 | 0.02 | 0.62 |
| Raspberries | 1.08 | 0.21 | 0.04 | 0.00 | 1.33 |
| Winter rape | 0.45 | 0.92 | 0.29 | 0.08 | 1.74 |
| Sour cherry | 5.28 | 0.28 | 0.05 | 0.00 | 5.60 |
Source: Authors’ own elaboration based on Rynek środków produkcji dla rolnictwa. Analizy Rynkowe 2019, nr 46, p. 25 [In Polish]
Fig. 5.Respondents’ declarations regarding practical aspects of performing plant protection treatments. Source: Own study based on questionnaire surveys (N = 1101)
Statistics values χ2, critical values χ2α = 0.01* (in parentheses) and mean square contingency φ2 (italics) for the following features: pesticide use, arable land area, economics size of agriculture holding, and district
| Specification | Arable land area | Economic size of agricultural holding | District |
|---|---|---|---|
| Pesticide use | 93.8249 (20.0902) | 117.9304 (23.2093) | 49.5906 (23.2093) |
Source: Own study based on questionnaire surveys (N = 1101)
* Critical values χ2α = 0.01 read from the tables for (r − 1) × (c − 1) degrees of freedom
**Number of rows and columns of the variables analysed
Fig. 6Graphic presentation of the results of the correspondence analysis of the direction of changes in the level of pesticides use with the analysed features of agricultural holdings. Source: Own study based on questionnaire surveys (N = 1101)