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Autor	Mary Pleños
Tytuł	The Determinants of Fish Catch: A Quantile Regression Approach
Title	The Determinants of Fish Catch: A Quantile Regression Approach
Słowa kluczowe	quantile regression, fishers, catch
Key words	quantile regression, fishers, catch
Abstrakt	The goal of this study is to use quantile regression (QR) to find predictors of fishers’ catch and compare it with OLS regression. The heterogeneous association across the different quantiles of the catch distribution was investigated using QR analysis. The findings reveal that the effect changes depending on where a fisher is in the catch distribution. In the OLS, there are several non-significant predictors that appear to be significant in quantile regression. By OLS regression, demographic variables have little effect on fishers’ catch; but, in quantile regression, marital status, fishing hours, and use of motorized boats appeared to have a relatively high impact at the top of the distribution.
Abstract	The goal of this study is to use quantile regression (QR) to find predictors of fishers’ catch and compare it with OLS regression. The heterogeneous association across the different quantiles of the catch distribution was investigated using QR analysis. The findings reveal that the effect changes depending on where a fisher is in the catch distribution. In the OLS, there are several non-significant predictors that appear to be significant in quantile regression. By OLS regression, demographic variables have little effect on fishers’ catch; but, in quantile regression, marital status, fishing hours, and use of motorized boats appeared to have a relatively high impact at the top of the distribution.
Cytowanie	Pleños M. (2021) The Determinants of Fish Catch: A Quantile Regression Approach.Zeszyty Naukowe SGGW w Warszawie - Problemy Rolnictwa Światowego, t. 21(36), z. 2: 15-21
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Pełny tekst	PRS_2021_T21(36)_n2_s15.pdf

Autor	Sebastian Kubala
Tytuł	Czynniki wytwórcze w branży przetwórstwa rybnego w Polsce w okresie poakcesyjnym
Title	THE PRODUCTIVE FACTORS IN THE FISH PROCESSING INDUSTRY IN POLAND DURING THE POST-ACCESSION PERIOD
Słowa kluczowe	czynniki produkcji, produktywność cząstkowa, produktywność całkowita, funkcja produkcji Cobba-Douglasa, gospodarka rybna
Key words	factors of production, partial productivity, total productivity, Cobb-Douglas production function, fish economy
Abstrakt	Badanie poziomu oraz tempa zmian poziomu produktywności poszczególnych sektorów umożliwia ocenę efektywności wykorzystywanych zasobów oraz identyfikację źródeł wzrostu produkcji. Obrazuje, w jakim stopniu poziom zmian w danej branży zależy od czynników pracy oraz kapitału. Celem opracowania jest określenie efektywności wykorzystania czynników produkcji w branży przetwórstwa rybnego w Polsce w latach 2005-2016. Do ustalenia tempa zmian efektywności czynników wytwórczych wykorzystano wskaźniki oparte na produkcji, zatrudnieniu oraz wartości brutto środków trwałych. Zaprezentowane badania wykazały, iż w branży przetwórstwa rybnego występowała generalna tendencja wzrostu produktywności pracy. Jednocześnie można było zaobserwować niekorzystne zmiany produktywności kapitału. Przeprowadzone badania wskazują, iż większy wpływ na poziom produkcji ma czynnik kapitału aniżeli poziom zatrudnienia. Ponadto wartość produkcji wzrastała w tempie szybszym niż łączne nakłady czynników ją kształtujących.
Abstract	The study of the level and dynamics of changes of productivity of individual sectors allows to evaluate possible effectiveness of the resources used as well as identification of sources of production growth. It shows the extent to which changes in the level of the industry is dependent on factors of work and capital. The aim of the work was to study the efficiency of production factors in the fish processing industry in Poland in the years 2005-2016. To determine the rate of changes of the efficiency of the production factors there were indicators used that were based on production, employment and gross value of fixed assets. The study showed that in the fish processing industry there was a general growth tendency of labor productivity. There were also observed adverse changes in capital productivity. The greater impact on the level of production has a capital factor than the level of employment. In addition, the value of production increased at a rate faster than the total expenditure of factors shaping it.
Cytowanie	Kubala S. (2019) Czynniki wytwórcze w branży przetwórstwa rybnego w Polsce w okresie poakcesyjnym.Roczniki Naukowe Ekonomii Rolnictwa i Rozwoju Obszarów Wiejskich, t. 106, z. 1: 51-61
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Pełny tekst	RNR_2019_n1_s51.pdf

Autor	Dorota Janiszewska, Luiza Ossowska
Tytuł	Diversification of European Union Member States Due to the Production of Renewable Energy from Agriculture and Forestry
Title	Diversification of European Union Member States Due to the Production of Renewable Energy from Agriculture and Forestry
Słowa kluczowe	agricultural biomass, forest biomass, European Union countries, production of renewable energy
Key words	agricultural biomass, forest biomass, European Union countries, production of renewable energy
Abstrakt	The main objective of this article is to discuss the diversity of European Union countries in terms of their production of renewable energy from agriculture and forestry. The analysis includes 28 EU countries. Figures come from 2013-2015. Diversification of European Union members was conducted using cluster analysis. The following diagnostic features were used for the analysis: production of renewable energy from agriculture, share of agriculture in production of renewable energy, change in the production of renewable energy from agriculture in 2013-2015, production of renewable energy from forestry, share of forestry in production of renewable energy, change in the production of renewable energy from forestry in 2013-2015. As a result of the cluster analysis examined regions were divided into five groups.
Abstract	The main objective of this article is to discuss the diversity of European Union countries in terms of their production of renewable energy from agriculture and forestry. The analysis includes 28 EU countries. Figures come from 2013-2015. Diversification of European Union members was conducted using cluster analysis. The following diagnostic features were used for the analysis: production of renewable energy from agriculture, share of agriculture in production of renewable energy, change in the production of renewable energy from agriculture in 2013-2015, production of renewable energy from forestry, share of forestry in production of renewable energy, change in the production of renewable energy from forestry in 2013-2015. As a result of the cluster analysis examined regions were divided into five groups.
Cytowanie	Janiszewska D., Ossowska L. (2018) Diversification of European Union Member States Due to the Production of Renewable Energy from Agriculture and Forestry.Zeszyty Naukowe SGGW w Warszawie - Problemy Rolnictwa Światowego, t. 18(33), z. 2: 95-104
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Pełny tekst	PRS_2018_T18(33)_n2_s95.pdf