Template-Type: ReDIF-Article 1.0 Author-Name: Vladimír JENÍČEK Author-Workplace-Name: Faculty of International Relation, University of Economics, Prague, Czech Republic Author-Name: Šárka GRÓFOVÁ Author-Workplace-Name: Faculty of International Relation, University of Economics, Prague, Czech Republic Title: Least developed countries - comparison Abstract: 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. Keywords: economic situation, international trade, foreign direct investments, official development assistance, remittances, indicators of health Journal: Agricultural Economics Pages: 99-109 Volume: 60 Issue: 3 Year: 2014 DOI: 10.17221/70/2013-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/70/2013-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-201403-0001.txt Handle: RePEc:caa:jnlage:v:60:y:2014:i:3:id:70-2013-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: So Yeon LEE Author-Workplace-Name: Department of Food and Resource Economics, Korea University, Seoul, Korea Author-Name: Song Soo LIM Author-Workplace-Name: Department of Food and Resource Economics, Korea University, Seoul, Korea Title: Determinants of the Korean agricultural trade with the LDCs and the OECD countries Abstract: 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), free trade agreements (FTAs), the applied tariff rates, and the exchange rates turn out to be statistically significant in the trade with the OECD countries, thus highlighting the possibility of the potential trade benefits associated with the trade policy reforms. The study is unique in that it empirically estimates the determinants of agricultural trade between the LDCs and developed countries and reveals the potential effectiveness of the preferential treatment and the implementation of the trade policy reforms. Keywords: agricultural trade patterns, duty-free market access, gravity model, preferential tariff Journal: Agricultural Economics Pages: 110-122 Volume: 60 Issue: 3 Year: 2014 DOI: 10.17221/118/2013-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/118/2013-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-201403-0002.txt Handle: RePEc:caa:jnlage:v:60:y:2014:i:3:id:118-2013-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Jitka JANOVÁ Author-Workplace-Name: Department of Statistics and Operational Research, Faculty of Business and Economics, Mendel University in Brno, Brno, Czech Republic Title: Crop plan optimization under risk on a farm level in the Czech Republic Abstract: 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 to farmers. The structure of the simplified model is described in detail, its validity proved by the recently suggested simulation procedures and the general applicability of the model structuring for a local agriculture decision support is discussed. Keywords: crop plan, crop rotation constraints, optimization, stochastic programming Journal: Agricultural Economics Pages: 123-132 Volume: 60 Issue: 3 Year: 2014 DOI: 10.17221/77/2013-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/77/2013-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-201403-0003.txt Handle: RePEc:caa:jnlage:v:60:y:2014:i:3:id:77-2013-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Shuai CHUANMIN Author-Workplace-Name: School of Economics and Management, China University of Geosciences, Wuhan, Hubei, China Author-Name: Yang XIAOMIN Author-Workplace-Name: School of Economics and Management, China University of Geosciences, Wuhan, Hubei, China Author-Name: Zhang YUKUN Author-Workplace-Name: School of Economics and Management, China University of Geosciences, Wuhan, Hubei, China Author-Name: Shuai CHUANXI Author-Workplace-Name: School of Economics and Law, Hubei University of Arts and Science, Xiangyang, Hubei, China Author-Name: Ding PENGHUI Author-Workplace-Name: School of Economics and Management, China University of Geosciences, Wuhan, Hubei, China Title: Consumer behavior on low-carbon agri-food purchase: a carbon labeling experimental study in China Abstract: 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 is highly correlated with their preference for low-carbon products; (3) young consumers and some of the high-income consumers have a weak environmental consciousness and; (4) consumer's perception on government policies and the implementing efficiency shows a positive moderating effect on the consumers' low-carbon purchasing behaviour. Finally, we proposed policy recommendations accordingly based on the findings of this study for further facilitating low-carbon consumption in China. Keywords: carbon labelling, low-carbon awareness, potential consumption power, scenario experiment, SNK test Journal: Agricultural Economics Pages: 133-146 Volume: 60 Issue: 3 Year: 2014 DOI: 10.17221/20/2013-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/20/2013-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-201403-0004.txt Handle: RePEc:caa:jnlage:v:60:y:2014:i:3:id:20-2013-AGRICECON