An Economic Welfare Analysis of Shared Spectrum Use: A Case Study of LTE-U/LAA

Abstract The main goal of this article is to answer the question whether organic farming, which is developing in some parts of Poland, can be considered as a form of multifunctional farming and contribute so to non-commodity functions and the process of change in a particular territory of given areas. The analyses are based on data obtained from 2013 of several points in the south of Poland representing a cluster of organic market oriented farmers. The results show that namely market organic farming may serve as multifunctional one, but only under certain conditions and for a specific type of farming. Through specific functions, organic farming facilitates the changes, primarily on a local scale. The existence of a strong integrated organic farming sector might influences development and change, resulting in not only the improvement of economic welfare of organic farmers, but also of whole local communities, strengthening the bonds amongst them, mobilising the social resources.

Download Full-text

An empirical model for the raw wood assortment price predicting – case study in Slovakia

BioResources ◽

10.15376/biores.15.3.5913-5925 ◽

2020 ◽

Vol 15 (3) ◽

pp. 5913-5925

Author(s):

Miloš Gejdoš ◽

Marek Trenčiansky ◽

Blanka Giertliová ◽

Martin Lieskovský ◽

Zuzana Danihelová

Keyword(s):

Slovak Republic ◽

Elastic Response ◽

Economic Welfare ◽

Change Model ◽

Linear Regression Equation ◽

Climate Change Model ◽

Timber Sale ◽

The Impact ◽

Model Scenarios

Sales of timber, which represent the main source of forest management income, are essential for the economic welfare of forest businesses. Planning the timber sale management faces a certain amount of uncertainty and risk in such difficult conditions of climate change. Model scenarios make preparation for potential future development possible. The aim of the study was to create a prediction model of coniferous and non-coniferous sawlogs for the area of the Central Europe. The objective of the model was to estimate the variations in the price of coniferous or non-coniferous sawlogs following a linear regression equation in the analysed time series from 2001 to 2017. The price of coniferous sawlogs was significantly affected in a negative way by the amount of incidental fellings and in a positive way by the Gross Domestic Product. The price of the non-coniferous sawlogs was significantly affected in a positive way by the GDP and the volume of non-coniferous sawlog export. These factors caused a non-elastic response of the coniferous sawlog price. The impact of these factors depends to a great extent on the wood species composition of the forests in the Slovak Republic. The model also can be set for conditions of other countries when considering their economic indicators.

Download Full-text