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PREDICTION OF INSTITUTIONAL SECTOR DEVELOPMENT AND ANALYSIS OF ENTERPRISES ACTIVE IN AGRICULTURE

Vojtěch Stehel, Jakub Horák, Marek Vochozka

Owing to a special role of agriculture in the national economy, governments have become the main suppliers as well as the main users of agricultural predictions (forecasts). They require internal forecasts to implement policies that provide technical and market support to the agricultural sector (Hedtrich, Loy, & Mueller, 2012). Forecasts of agricultural production and prices ought to be helpful not only for the governments, but primarily for farmers and the entire agriculture industry. Thus, agriculture is an area where politicians, consumers, scientists and environmentalists encounter (Rivera-Ferre, 2008). Remeikiene, Rozsa, Gaspareniene and Pěnčík (2018) state that supportive political attitudes towards the agricultural sector along with employment of protectionist measures determine ignorance of the rules of supply and demand, distortion of the conditions of free market competition, closeness of the agricultural sector in comparison to other economic sectors, incomplete international agricultural price transmission, inkonsistence of long-term market prices for agricultural commodities and existence of agriculture in disfavoured areas.
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AN EXPANDED CONCEPTUALIZATION OF “SMART” CITIES: ADDING VALUE WITH FUZZY COGNITIVE MAPS

Bárbara P. Miguel, Fernando A. F. Ferreira, Audrius Banaitis, Nerija Banaitienė, Ieva Meidutė-Kavaliauskienė, Pedro F. Falcão

The world’s population continues to increase rapidly, and, within the next 30 years, more than half of all people will choose to live in large urban centers (Faria et al., 2018). This has led to a number of problems, such as congested people and transportation traffic and increased pollution that produces climate change. The concept of “smart” cities has emerged as a way to deal with these issues, in which these cities are defined as an ecosystem that seeks to improve citizens’ quality of life through a combination of technology, sustainability, and physical infrastructures (Estrada et al., 2018). Smart cities have to use new technologies ranging from the Internet of Things (IoT), which facilitates connections between everything, to home automation (i.e., the ease with which citizens can manage daily routines through their homes).
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