Gazdasági versenyképességet támogató pályázatok eredményessége az NFT és az ÚMFT keretében = The effectiveness of grants supporting economic development under hungary's national development plans

A Budapesti Corvinus Egyetem kutatócsoportja által végzett kutatás során arra a kérdésre kerestük a választ, hogy a Nemzeti Fejlesztési Terv (NFT) és az Új Magyarország Fejlesztési Terv (ÚMFT) keretében létrehozott, kis- és középvállalatok számára kialakított gazdaságfejlesztési pályázatok milyen hatékonysággal működnek. Hogyan volt képes a rendszer beépíteni az NFT Gazdasági Versenyképesség Operatív Program (GVOP) tapasztalatait az ÚMFT Gazdaságfejlesztési Operatív Programba (GOP). Továbbá, hogy maguk a kis- és középvállalatok miként értékelik ezen kiírásokat és milyen javaslatokat tennének az ilyen típusú pályázatok "felhasználóbaráttá" tételéhez. A kutatás 2009 márciusától 2009 decemberéig tartott. A kéziratot 2010 áprilisában zártuk. / === / In a research group of the Corvinus University of Budapest we aimed to answer the questions of efficiency and effectiveness of the economic development grants of the National Development Plan (2004-2006) and the New Hungarian Development Plan (2007-13) with the focus of small and medium sized enterprises (SME's). We tried to highlight the results of learning by doing of the first National Development Plan and how this practice was built into the second development plan. An emphasis was placed on the opinion of the SME's, how they evaluate the grants and what are their proposals to make the grant system more "user friendly".

Graled (Grapevine leaf digitalization) Software for the Detection and Graphic Reconstruction of Ampelometric Differences Between Vitis Leaves

Raster graphic ampelometric software was not exclusively developed for the estimation of leaf area, but also for the characterization of grapevine (Viti vinifera L.) leaves. The software was written in C-Hprogramming language, using the C-1-1- Builder 2007 for Windows 95-XP and Linux operation systems. It handles desktop-scanned images. On the image analysed with the GRA.LE.D., the user has to determine 11 points. These points are then connected and the distances between them calculated. The GRA.LE.D. software supports standard ampelometric measurements such as leaf area, angles between the veins and lengths of the veins. These measurements are recorded by the software and exported into plain ASCII text files for single or multiple samples. Twenty-two biometric data points of each leaf are identified by the GRA.LE.D. It presents the opportunity to statistically analyse experimental data, allows comparison of cultivars and enables graphic reconstruction of leaves using the Microsoft Excel Chart Wizard. The GRA. LE.D. was thoroughly calibrated and compared to other widely used instruments and methods such as photo-gravimetry, LiCor L0100, WinDIAS2.0 and ImageTool. By comparison, the GRA.LE.D. presented the most accurate measurements of leaf area, but the LiCor L0100 and the WinDIAS2.0 were faster, while the photo-gravimetric method proved to be the most time-consuming. The WinDIAS2.0 instrument was the least reliable. The GRA.LE.D. is uncomplicated, user-friendly, accurate, consistent, reliable and has wide practical application.