SERIES OF AGRICULTURE IN DATABASE OF THE STATISTICAL OFFICE OF THE REPUBLIC OF SERBIA

Authors

  • Jelena V. Radovi? – Stojanovi?, PhD Academy of Criminalistic and Police Studies, Belgrade
  • Aleksandra T. Ze?evi?, PhD University of Belgrade, Faculty of Economics, Belgrade
  • Zorica D. Koj?in, PhD

DOI:

https://doi.org/10.5937/ekoPolj1503831S

Keywords:

database, agriculture indicators, structure series, time series, Serbia

Abstract

The objectives of this Paper have been to examine which data on agriculture can be found in the Statistical Offce of the Republic of Serbia Database, and what are the possibilities for the use of the Database in the research and analysis of agriculture. The Statistical Offce of the Republic of Serbia Database physically represents normalized database formed in DBMS SQL Server. The methodological approach to the Paper subject is primarily related to modelling and the way of using Database. The options of accession, fltering and downloading of data from the Database are explained. The technical characteristics of the Database were described, indicators of agriculture listed and the possibilities of using Database were analysed. We examined whether these possibilities could be improved. It was concluded that improvements were possible, frst, by enriching Database with data that are now only available in printed publications of the Offce, and then, through methodological and technical improvements by redesigning the Database modelled on cloud founded databases. Also, the application of the achievements of the new multidisciplinary scientifc feld - Visual Analytics would improve visualization, interactive data analysis and data management.

Downloads

Download data is not yet available.

References

1. Agrawal D., Abbadi A., Salem K. (2015): A Taxonomy of Partitioned Replicated Cloud-based Database Systems, Data Engineering Bulletin, vol. 38, no. 1, pp. 4-10, IEEE Computer Society, Washington, D.C., (available at: http://sites.computer.org/debull/A15mar/A15MAR-CD.pdf).
2. Chaudhuri S., Christensen E., Graefe G., Narasayya V., Zwilling M. (1999): SelfTuning Technology in Microsoft SQL Server, Data Engineering Bulletin, vol. 22, no. 2, pp. 20-27, IEEE Computer Society, Washington, D.C., (available at: http://sites.computer.org/debull/99june/issue1.htm).
3. Cvijanović, D., Subić, J., Paraušić, V. (2014): Poljoprivredna gazdinstva prema ekonomskoj veličini i tipu proizvodnje u Republici Srbiji, Republički zavod za statistiku, Beograd, Srbija, (available at: http://pod2.stat.gov.rs/ObjavljenePublikacije/Popis2012/TIPOLOGIJA.pdf).
4. Fekete J.D., Silva C. (2012): Managing Data for Visual Analytics: Opportunities and Challenges, Data Engineering Bulletin, vol. 35, no. 3, pp. 27-37, IEEE Computer Society, Washington, D.C., (alvailable at: http://sites.computer.org/debull/A12sept/issue1.htm).
5. Heinis T., Branco M., Alagiannis I., Borovica R., Tauheed F., Ailamaki A. (2011): Challenges and Opportunities in Self-Managing Scientifc Databases, Data Engineering Bulletin, vol. 34, no. 4, pp. 44-53, IEEE Computer Society, Washington, D.C., (available at: http://sites.computer.org/debull/A11dec/issue1.htm).
6. Jonsson P., Krokhin A. (2008): Computational complexity of auditing fnite attributes in statistical databases, Journal of Computer and System Sciences, vol. 74, Issue 5, pp. 898-909, Academic Press, San Diego, CA, (available at: http://www.sciencedirect.com/science/journal/00220000/74/5).
7. Kapor, P. (2009): Strane direktne investicije u poljoprivredi, Ekonomika poljoprivrede, br. 2/2009, Institut za ekonomiku poljoprivrede, str. 231-24, Beograd, Srbija, (available at: http://bsaae.bg.ac.rs/images/Ekonomika%20kompletna/2009/Broj%202-2009.pdf).
8. Liew C.K., Choi U.J., Liew C.J. (1985): A data distortion by probability distribution, ACM Transactions Database Systems, vol. 10, Issue 3, pp. 395–41. Association for Computing Machinery, New York, (available at: http://dl.acm.org/citation.cfm?id=3979&CFID=680258218&CFTOKEN=26983881).
9. Miletić, V., Milosavljević D., Kostić, B. (2012): Institutional Investment Policy Frameworks for the Agriculture of The Republic of Serbia, Economics of Agriculture, Institute of Agricultural Economics, 3/2012, pp. 363-372, Belgrade, Serbia, (available at: http://bsaae.bg.ac.rs/images/Ekonomika%20kompletna/2012/Ekonomika%20%20poljoprivrede%20-%202012-3.pdf).
10.National Agency for Regional Development (2012): Uticaj fnansijske krize na poslovne performanse preduzeća po privrednim granama - komparativna analiza Srbije, Hrvatske i Slovenije, Beograd (http://narr.gov.rs/index.php/content/download/1604/8664/fle/Uticaj%20fnansijske%20krize,%20web.pdf)
11.Pejanović, R., Milić, D. (2008): Investicije u poljoprivredu Republike Srbije, Ekonomika poljoprivrede, br. 1/2008, Institut za ekonomiku poljoprivrede, str. 9-19, Beograd, Srbija, (available at: http://bsaae.bg.ac.rs/images/Ekonomika%20kompletna/2008/Broj%201-2008.pdf).
12.Popović, R. (2014): Stočarstvo u Republici Srbiji, Republički zavod za statistiku, Beograd, Srbija, (available at: http://pod2.stat.gov.rs/ObjavljenePublikacije/Popis2012/STOCARSTVO.pdf).
13.Radović, G. (2009): Podrška države u funkciji fnansiranja poljoprivrede, Agroekonomika, Poljoprivredni fakultet, Univerzitet u Novom Sadu, br. 41- 42, str. 69-79, Novi Sad, Srbija, (available at: http://agroekonomika.rs/images/arhiva/agroekonomika_41-42.pdf).
14.Riordan, M.R. (2006): Projektovanje baza podataka, Mikro knjiga, Beograd, Srbija.
15.Silberschatz, A., Korth H., Sudarshan S. (2011): Database System Concepts, McGraw-Hill, New York.
16.Simović, Z., Jeločnik, M., Vasić, Z. (2012): Economic Position Of Serbian Agriculture In The Transition Period, Economics of Agriculture, Institute of Agricultural Economics, 3/2012, pp. 536-546, Belgrade, Serbia, (available at: http://bsaae.bg.ac.rs/images/Ekonomika%20kompletna/2012/Ekonomika%20%20poljoprivrede%20-%202012-3.pdf).
17.Statistical Offce of the Republic of Serbia (2010):Agriculture 2009, Belgrade, Serbia, (available at: http://webrzs.stat.gov.rs/WebSite/repository/documents/00/00/05/28/PoljBilten2009.pdf).
18.Statistical Offce of the Republic of Serbia (2013): Agricultural Statistics Development Strategy for the Republic of Serbia 2013 – 2018, Belgrade, Serbia, (availabla at: http://webrzs.stat.gov.rs/WebSite/userFiles/fle/O%20nama/Dokumenti/Agricultural%20statistics%20development%20strategy.pdf).
19.Statistical Offce of the Republic of Serbia (2014): Popisni atlas 2011 Census Atlas, Belgrade, Serbia, (available at: http://pod2.stat.gov.rs/ObjavljenePublikacije/Popis2011/Popisni%20atlas%202011.pdf).
20.Veselinović, B., Drobnjaković, M. (2014): Qualitative and Quantitative Analysis of Micro and Macro Aspects of Agricultural Finance, Economics of Agriculture, Institute of Agricultural Economics, 3/2014, pp. 771-788, Belgrade, Serbia, (available at: http://bsaae.bg.ac.rs/images/Ekonomika%20kompletna/2014/EP%20-%203%20-%202014%20-%20kompletna%20sveska.pdf).
21.Law on 2012 Census of Agriculture, Offcial Gazette of RS, Srbia, no. 104/09 and 24/11, 2011.

Downloads

Published

2015-09-30

How to Cite

Radović – Stojanović, J. V., Zečević, A. T., & Kojčin, Z. D. (2015). SERIES OF AGRICULTURE IN DATABASE OF THE STATISTICAL OFFICE OF THE REPUBLIC OF SERBIA. Economics of Agriculture, 62(3), 831–848. https://doi.org/10.5937/ekoPolj1503831S

Most read articles by the same author(s)