Agricultural Economics, 2014 (vol. 60), issue 3
Least developed countries - comparisonOriginal Paper
Vladimír JENÍČEK, Šárka GRÓFOVÁ
Agric. Econ. - Czech, 2014, 60(3):99-109 | DOI: 10.17221/70/2013-AGRICECON 
The inter-related causes of food insecurity in these countries are mainly the long lasting civil wars, a limited access to land, environmental degradation, climatic shocks and the rapid population growth resulting from the high birth rates and the return of refugees.
Determinants of the Korean agricultural trade with the LDCs and the OECD countriesOriginal Paper
So Yeon LEE, Song Soo LIM
Agric. Econ. - Czech, 2014, 60(3):110-122 | DOI: 10.17221/118/2013-AGRICECON
The study aims to analyze Korea's import trade in agricultural products with (i) the least developed countries (LDCs) and (ii) the Organization for Economic Co-operation and Development (OECD) countries. Extended versions of a gravity model are adopted and the balanced panel data for the unilateral trade over the period of 2003 to 2008 are constructed using the Harmonized System Codes. The Heckman two-stage analysis is incorporated to detect the potential selection bias arising from many zero trades. We find that only preferential tariffs on the LDCs have significantly contributed to the trade flows. However, in contrast, gross domestic products (GDPs),...
Crop plan optimization under risk on a farm level in the Czech RepublicOriginal Paper
Jitka JANOVÁ
Agric. Econ. - Czech, 2014, 60(3):123-132 | DOI: 10.17221/77/2013-AGRICECON
The precise agricultural operations research models claiming complex solutions and specialized software tools may appear too complicated to truly support the decision making process on the farm level. The specific balance between the simplifications made and the correspondence to the real problem must be found when building decision support for a local farmer. In this paper, a decision support model for agricultural production planning in the Czech Republic is developed covering both the randomness of parameters entering the problem and the complex crop succession requirements. Crucially, the model can be approached using software tools commonly available...
Consumer behavior on low-carbon agri-food purchase: a carbon labeling experimental study in ChinaOriginal Paper
Shuai CHUANMIN, Yang XIAOMIN, Zhang YUKUN, Shuai CHUANXI, Ding PENGHUI
Agric. Econ. - Czech, 2014, 60(3):133-146 | DOI: 10.17221/20/2013-AGRICECON
By adopting the scenario experimental methodology of carbon labelling on agri-food products, coupled with 873 questionnaires collected from six cities in China, we made a statistical analysis of different types of consumers' behaviour on the low-carbon agri-food purchase by using the SPSS software. The results indicate that: (1) there are great differences of the low-carbon purchasing behaviour between different types of consumers: male groups at young and middle-aged, especially those who are highly educated and better paid in economically developed areas, have strong low-carbon product purchasing powers; (2) consumers' low-carbon purchasing behaviour...