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Autor	Roma Ryś-Jurek
Tytuł	FAMILY FARM INCOME AND THEIR PRODUCTION AND ECONOMIC DETERMINANTS ACCORDING TO THE ECONOMIC SIZE IN THE EU COUNTRIES IN 2004–2015
Title
Słowa kluczowe	economic size of farm, family farm income, production
Key words
Abstrakt	The aim of this research is to present the family farm income and production and its economic determinants according to the economic size of farms in the EU countries in 2004–2015. Research is based on European Farm Accountancy Data Network (FADN), which includes information about average farms according to the economic size in the EU-28. In this article an attempt is made to use the panel models to evaluate the production and economic determinants of family farm income. The Gretl program is used to evaluate fixed effect models and random effect models. The production and economic determinants of family farm income depending on the farm’s size are indicated, such as: utilised agricultural area, crop and livestock production, net investment and cash flow and inputs.
Abstract
Cytowanie	Ryś-Jurek R.
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Pełny tekst	ESARE_2018_n2_s21.pdf

Autor	Adam Andrzejuk
Tytuł	Classification of Agricultural Emissions Among OECD Countries with Unsupervised Techniques
Title	Classification of Agricultural Emissions Among OECD Countries with Unsupervised Techniques
Słowa kluczowe	agricultural economics, emissions, classification, cluster analysis, k-means, hdbscan
Key words	agricultural economics, emissions, classification, cluster analysis, k-means, hdbscan
Abstrakt	Agricultural emissions represent greenhouse gas emissions from crop and livestock production. There are various estimates on agricultural emissions, however on average about 14 to 25 percent of total global emissions comes from agriculture. The main goal of this paper was to present distribution of agricultural emissions among OECD countries with the help of clustering analysis. Clustering analysis is one of the tools used in the field of exploratory data mining. Two methods were used in the analysis: K-means and HDBSCAN algorithms. Both techniques are part of unsupervised learning tasks, which group data into multiple clusters. Finally, an appraisal of obtained classifications was performed.
Abstract	Agricultural emissions represent greenhouse gas emissions from crop and livestock production. There are various estimates on agricultural emissions, however on average about 14 to 25 percent of total global emissions comes from agriculture. The main goal of this paper was to present distribution of agricultural emissions among OECD countries with the help of clustering analysis. Clustering analysis is one of the tools used in the field of exploratory data mining. Two methods were used in the analysis: K-means and HDBSCAN algorithms. Both techniques are part of unsupervised learning tasks, which group data into multiple clusters. Finally, an appraisal of obtained classifications was performed.
Cytowanie	Andrzejuk A. (2018) Classification of Agricultural Emissions Among OECD Countries with Unsupervised Techniques.Zeszyty Naukowe SGGW w Warszawie - Problemy Rolnictwa Światowego, t. 18(33), z. 4: 80-91
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Pełny tekst	PRS_2018_T18(33)_n4_s80.pdf

Autor	Piotr Sulewski
Tytuł	Transfer ryzyka z produkcji roślinnej do zwierzęcej w Polsce w opinii rolników
Title	RISK TRANSFER FORM CROP TO LIVESTOCK PRODUCTION AND ITS SIGNIFICANCE IN AGRICULTURE
Słowa kluczowe	ryzyko w rolnictwie, produkcja roślinna, produkcja zwierzęca, transfer ryzyka
Key words	agricultural risk, crop and livestock production, risk transfer between agricultural activities
Abstrakt	W opracowaniu podjęto problematykę nierozpoznanego dotychczas w literaturze przedmiotu zagadnienia transferu ryzyka z obszaru produkcji roślinnej na działalności zwierzęce. Badania przeprowadzono na reprezentatywnej próbie prawie 500 gospodarstw zajmujących się chowem zwierząt. Przeprowadzone badania wykazały, iż zjawisko transferu ryzyka ma charakter istotny statystycznie i dotyczy około połowy gospodarstw prowadzących produkcję zwierzęcą. Głównym powodem strat w produkcji zwierzęcej związanym z działalnościami roślinnymi okazały się spadki plonów roślin stanowiących źródło pasz. Przeprowadzone badania nie wykazały istotnego związku między stratami w produkcji zwierzęcej a elementami charakterystyki gospodarstwa, co wskazuje na ich incydentalny, a nie systematyczny charakter.
Abstract	In the paper an attempt to identification of unrecognized problem of risk transfer between crop and livestock production has been made. The survey consists of almost 500 Polish livestock farms. The research revealed that the problem of risk transfer between crops and livestock activities was statistically significant and about a half of livestock farms suffered due to losses in crops’ yields. The main transferred risk factor turned out to be losses in pastures production. In the research no farm characteristics connected with losses in animals has been found, what indicates for incidental rather than systematic risk in livestock production.
Cytowanie	Sulewski P. (2014) Transfer ryzyka z produkcji roślinnej do zwierzęcej w Polsce w opinii rolników.Roczniki Naukowe Ekonomii Rolnictwa i Rozwoju Obszarów Wiejskich, t. 101, z. 1: 90-100
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Pełny tekst	RNR_2014_n1_s90.pdf