Agricultural Economics, 2017 (vol. 63), issue 3

Dynamics of the small farmers' behaviour - scenario simulationsOriginal Paper

Gabriela KOLACKOVA, Igor KREJCI, Ivana TICHA

Agric. Econ. - Czech, 2017, 63(3):103-120 | DOI: 10.17221/278/2015-AGRICECON  

The paper deals with the dynamic simulation of the possible development scenarios of small farmers. The model is based on the official data sources but also on the qualitative research of small farmers. The modelling structure reflects the specifics of the examined field and personal and social specifics of small farmers. For the purposes of the analysis, the business model describes the value creation in the small and individual farms, thereafter the model is extended into the dynamic simulation model and the selected scenarios of development are simulated. The analysis shows the impact of the current setup in the field. Despite the fact that the...

Activation process analysis of the Localized Agri-food System using social networksOriginal Paper

Jazmin ENRIQUEZ-SANCHEZ, Manrrubio MUNOZ-RODRIGUEZ, J. Reyes ALTAMIRANO-CARDENAS, Abraham VILLEGAS-DE GANTE

Agric. Econ. - Czech, 2017, 63(3):121-135 | DOI: 10.17221/254/2015-AGRICECON  

The objective of the work was to analyse the prevailing activation process of the Localized Agri-food System (LAS) by using social networks as a tool to value the pre-existing social capital. There were 27 producers of "Chiapas Cream Cheese" and the members of the formal cheese maker organization from the state of Chiapas, Mexico that were interviewed. By the means of cluster analysis and the graphic design of friendship, the kinship, the "compadrazgo" knowledge, the collaboration and cooperation networks, we concluded that the structural activation must transcend the formal creation of an organization. It is best to value and then mobilize the pre-existing...

An improved EEMD-based hybrid approach for the short-term forecasting of hog price in ChinaOriginal Paper

Tao XIONG, Chongguang LI, Yukun BAO

Agric. Econ. - Czech, 2017, 63(3):136-148 | DOI: 10.17221/268/2015-AGRICECON  

Short-term forecasting of hog price, which forms the basis for the decision making, is challenging and of great interest for hog producers and market participants. This study develops improved ensemble empirical mode decomposition (EEMD)-based hybrid approach for the short-term hog price forecasting. Specifically, the EEMD is first used to decompose the original hog price series into several intrinsic-mode functions (IMF) and one residue. The fine-to-coarse reconstruction algorithm is then applied to compose the obtained IMFs and residue into the high-frequency fluctuation, the low-frequency fluctuation, and the trend terms which can highlight new...