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External Costs of Opencast Brown Coal Mining in Agriculture and Agri-Food Industry (on the Example of Wielkopolska)

100%

Pepliński B.

Central European Economic Journal

2018

vol. 5

issue 52

The aim of the work was to analyse the external costs for agriculture and agri-food industry related to the possible launch of lignite deposits in Wielkopolska, that is, on the Ościsłowo, Dęby Szlacheckie and Oczkowice deposits. The duration of the mine’s impact on the environment includes the period of drainage of the deposit, its exploitation and the time necessary for the reconstruction of water relations around the open pit. The level of losses in agricultural production was estimated based on the production results achieved by agriculture threatened by the occurrence of external costs based on the Central Statistical Office (CSO) data. The studies adopted two variants of the impact of open pitches on agriculture, including: the area of the estimated depression hopper, that is, the area in which the water table lowered by at least one meter and the entire impact area of the outcrop. In total, the external costs in agricultural production and processing, which may arise as a result of the launch of extraction from the three analysed deposits, were estimated at PLN 7.7–32.3 bn, losses in non-produced agricultural production at PLN 31.8–113.0 bn, while when the value of lignite is PLN 83.7–111.6 bn. Such high costs mean that the opening of new lignite deposits in Wielkopolska raises economic doubts. This also applies to each deposit separately.

Modelling wheat yields variability in Polish voivodships

58%

Kobus P.

Problemy Rolnictwa Światowego

2010

vol. 10(25)

issue 3

The paper presents an analysis of wheat yields variability in the voivodeships of Poland. The main aim of the study was to find out what are the statistical relationships between the wheat yield variability and the following factors: arable area, size of wheat production area, share of arable land used for wheat production, land quality and average yield. For that purpose a multiple linear regression was applied. It was found out that the detected spatial autocorrelation of wheat yields variability measured by standard deviations can be explained in 75% by the fitted model. Two of the considered variables showed a significant negative effect on this variability: the logarithm of arable area and the land quality, while the other two: the average wheat yield and the wheat production area displayed a significant positive effect on the variability. The effect of share of arable land used for wheat production itself was not significant.

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1 Central European Economic Journal

1 Problemy Rolnictwa Światowego

1 Kobus P.

1 Pepliński B.

1 2019

1 2010

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External Costs of Opencast Brown Coal Mining in Agriculture and Agri-Food Industry (on the Example of Wielkopolska)

Modelling wheat yields variability in Polish voivodships