This study is intended for forest owners considering options to increase the efficiency of the production of forest seedlings in automated nurseries. In the short rotation technology of the Scots pine (Pinus sylvestris L.), the production of seedlings was integrated in the process of grading seeds by spectrometric features, followed by the fall outplanting of containerized seedlings to a restorable post-pyrogenic site. There are studies of the spectrometric effect grading viable seeds, but a negligible amount of testing has been conducted on the seedling’s field performance from these seeds. It was very important for us to evaluate the morphogenesis of juvenile Scots pine trees in relation to the change in morphological features—increase in root collar diameter (RCD-increment) and increase in stem height (SH-increment)—in the second and third growing season from the field outplanting. To determine the nature of the interaction between independent (RCD increase), dependent (SH-increment), and categorical (seed spectrometric categories and timespans) variables, a regression analysis was performed using the R statistical software. All coefficients of the linear models are statistically significant at the 1% significance level, and all are positively associated with an increase in seedling height. On average, a RCD increment by 0.1 cm causes a SH-increment by 0.72 ± 0.16 cm (p = 9.779 × 10⁻⁶). In addition, in 2020, compared to 2019, the SH-increment was 5.46 ± 0.37 cm (p < 0.001). The seeds’ differentiation into spectrometric categories is strongly correlated with the stem height increment (p < 0.001). Thus, in order to improve the plant propagation protocol, it seems advisable to first condition the seeds in accordance with the spectrometric feature, and to then apply a coating (by pelleting or encapsulating) in order to improve the storage and seeding conditions. For a medium-term assessment of the short rotation technology with an integrated seed spectrometric grading in the future, the morphogenesis of Scots pine trees at 5, 7 and 10 growing seasons from the seedlings field outplanting is controlled.

Many studies have analysed vertical price transmission using time-series econometric methods but vertical price transmission in the milk market in Russia has not been investigated. This paper studies vertical price transmission along the whole milk supply chain in the Russian market using the autoregressive distributed lags model. Monthly farm-gate and retail prices in Voronezh Oblast, a historically large agrarian region located to the south of Moscow, covering the period from 2002 to 2014 were used in the analysis. When estimating the vertical price transmission in the dairy market, seasonality should be taken into account. Using a cointegration technique, no empirical evidence is found for cointegration between farm-gate and retail prices. There is unidirectional Granger causality from retail to farm prices and not vice versa. The results support the assumption that price changes are not transmitted efficiently from one level to another and support the view that Russian retailers have more market power than farmers

Spatial (horizontal) price transmission analysis provides specific evidence as to the competitiveness of markets, the effectiveness of arbitrage and…

There are problems in the functioning of the food supply chain related to price transmission and value-added distribution. Vertical price transmission analysis is an important research area in the aspect of the assessment of impact on the welfare at the producer, processor and retailer levels. The paper investigates vertical price transmission along the whole milk supply chain after the end of European Union milk quotas in the Slovak market using a vector error correction model. Monthly farm-gate, processor and retail prices in the Slovak Republic covering the period from 2010 to 2016 were used in the analysis. Using the Johansen co-integration technique, empirical evidence has been found for two co-integration equations between farm-gate, processor and retail prices. We show that short-term and long-term bilateral causal relationships exist between prices at different market stages. The estimation of the price transmission elasticity supports the assumption that price changes are not transmitted efficiently from one level to another. However, symmetric price transmission exists between farm-gate and processor prices for whole milk in the long term. The perfect price transmission may also be due to recently emerging and strengthening the producer organisations that enable producers support their bargaining position in the supply chain

Recent swift comovements of local food and global crude oil prices have attracted the attention of policymakers and researchers. To evaluate this relationship, many studies have used time series models to explore global crude oil and local food prices. However, robust research based on advanced nonlinear time series models that incorporate control variables for their formation is lacking. In this paper, nonlinear techniques are applied to assess the asymmetric nexus between Brent oil prices and local retail food prices in Slovakia. To estimate this value, we extend the single-threshold NARDL approach to the MTNARDL model. The nominal exchange rate and industrial production index are used as the control variables. Compared with conventional NARDL models, the MTNARDL model provides a more detailed representation of global oil‒local food price linkages and detects the asymmetric effect of global oil prices on food prices from both long- and short-term perspectives. Interestingly, with respect to long- and short-term food price volatility, changes in response to oil price fluctuations are greatest under a regime with rather a small number of positive and moderate changes.