Template-Type: ReDIF-Article 1.0 Author-Name: Stefan Bojnec Author-Workplace-Name: Faculty of Management, University of Primorska, Koper, Slovenia Author-Name: Imre Ferto Author-Workplace-Name: Institute of Economics, Hungarian Academy of Sciences, Budapest, Hungary Title: Drivers of the duration of comparative advantage in the European Union's agri-food exports Abstract: The article investigates the duration of comparative advantage indices in the European Union (EU-27) agri-food exports using the normalised revealed comparative advantage index on the global market. There is employed both a descriptive analysis of the duration of comparative advantage, and examined the major drivers using discrete-time duration models with proper controls for unobserved heterogeneity. The robustness of the models is tested with alternative estimation procedures and sub-samples. Estimations show that the comparative advantages for most agri-food products survived for a certain number of years, but a high percentage of them have a shorter duration. Larger trade costs decrease the probability of survival in comparative advantages, while the level of economic development, the size of the country, the agri-food export diversification, and being a new EU member state increases it. Implications for the EU-27 member states and agri-food policies are suggested in the conclusion. Keywords: normalised revealed comparative advantage, duration analysis, discrete time models, agri-food exports, European Union Journal: Agricultural Economics Pages: 51-60 Volume: 64 Issue: 2 Year: 2018 DOI: 10.17221/173/2016-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/173/2016-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-201802-0001.txt Handle: RePEc:caa:jnlage:v:64:y:2018:i:2:id:173-2016-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Karel ZEMAN Author-Workplace-Name: Department of Economic and Social Policy, National Economic Faculty, University of Economics in Prague, Prague, Czech Republic Author-Name: Jan HRON Author-Workplace-Name: Department of Management, Faculty of Economics and Management, Czech University of Life Sciences Prague, Prague, Czech Republic Title: The agricultural sector has the most efficient management of state receivables in the Czech Republic Abstract: The article's objective, which is to identify the causes of the very poor level of management of the administration of these state assets, to present the possibilities of a long-tested experimental model at the Land Fund of the Czech Republic, and to draw attention to this model's potential in its possible implementation in administration of the entire management complex of these state assets in the Czech Republic. The authors first dealt with the theoretical aspects of the given issue, and then prepared an analysis of the original debt collection management "system". This is logically followed by an analysis of the experimental model's efficiency, rounded off with its conclusions. The final chapter contains the results of the research aimed at the current level of knowledge of the examined issue in compressed form, further the outcomes of the research concerned with original unsystematic debt collection management, also results of the implementation of the experimental model, and the assessment of the significance belonging to the results of implementing the experimental model for the entire national economy of the Czech Republic. Keywords: analysis, effectiveness, efficiency, experimental model, recovery ratio, state assets Journal: Agricultural Economics Pages: 61-73 Volume: 64 Issue: 2 Year: 2018 DOI: 10.17221/257/2016-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/257/2016-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-201802-0002.txt Handle: RePEc:caa:jnlage:v:64:y:2018:i:2:id:257-2016-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Juan-Javier MORENO-MORENO Author-Name: Francisco VELASCO MORENTE Author-Workplace-Name: Universidad de Sevilla, Sevilla, Spain Author-Name: Maria Teresa SANZ DIAZ Author-Workplace-Name: Universidad de Sevilla, Sevilla, Spain Title: Assessment of the operational and environmental efficiency of agriculture in Latin America and the Caribbean Abstract: Governments in Latin America and the Caribbean (LAC) require information that can be used to strengthen environmental agricultural strategies. However, in LAC there is not enough comparative analysis regarding operational performance and environmental performance, which are particularly important for sustainable agriculture. The objective of this study is the measurement of operational, environmental and unified (operational and environmental) efficiency through data envelopment analysis (DEA) for an environmental assessment in the agricultural sectors of eighteen LAC countries. The DEA in this study evaluates each country based on six variables: capital stock, labour, land, consumption of fertilizers, value of the gross agricultural production and agricultural emissions (CO2eq). This empirical study finds that six LAC countries attained full efficiency in terms of the three efficiency measurements. Three countries exhibit the highest level of unified efficiency, but show some level of inefficiency in the other two measurements (operational and environmental efficiency). In contrast, nine countries failed to achieve the maximum unified efficiency score. Keywords: agricultural performance, DEA, returns to scale, damages to scale, unified efficiency Journal: Agricultural Economics Pages: 74-88 Volume: 64 Issue: 2 Year: 2018 DOI: 10.17221/260/2016-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/260/2016-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-201802-0003.txt Handle: RePEc:caa:jnlage:v:64:y:2018:i:2:id:260-2016-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Rapee PONGPANICH Author-Workplace-Name: Department of Economics, Faculty of Liberal Arts and Management Sciences, Prince of Songkla University, Surat Thani, Thailand Author-Name: Ke-Chung PENG Author-Workplace-Name: Department of Agribusiness Management, National Pingtung University of Science and Technology, Pingtung Taiwan Author-Name: Anupong WONGCHAI Author-Workplace-Name: Department of Agricultural Economy and Development, Faculty of Agriculture, Chiang Mai University, Chiang Mai, Thailand Title: The performance measurement and productivity change of agro and food industry in the stock exchange of Thailand Abstract: At present, the agro and food industry has a high influence to farmers in Thailand. Most of the raw materials of agriculture are sent to its manufactoring. This industry has an important role to raise the growth of the Thai economy. The main objective of the paper is to study the production trends and ability operations of the agro and food industry by using economic tools analyse two sub-industry sectors. The paper reviewed literatures on the performance measurement and productivity change of the business sector to obtain the relative variables and optimal methodology. The paper designed to use the panel data of the agro and food industry during the period 2011-2014. The Slacks-based Measure context-dependent Data Envelopment Analysis (SBM context-dependent DEA) was used to analyse the efficiency and ability in the Decision Making Units (DMUs) by employing the attractiveness and progress score. Moreover, the Malmquist index was used to demonstrate the change of the total productivity of this industry. Therefore, the empirical results of the paper can help the companies inside and outside the stock exchange of the agro and food industry to realize the performance level and benchmark leading to the improvement of their operation. Moreover, they help the government to develop its policy and to understand the character of the sub-industry sectors and the productivity trend in this industry. Keywords: Malmquist index, SBM context-dependent DEA, sub-industry sector Journal: Agricultural Economics Pages: 89-99 Volume: 64 Issue: 2 Year: 2018 DOI: 10.17221/15/2016-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/15/2016-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-201802-0004.txt Handle: RePEc:caa:jnlage:v:64:y:2018:i:2:id:15-2016-AGRICECON