ORIGINAL ARTICLE
INNOVATIVE DEVELOPMENT OF THE AGRICULTURAL SECTOR IN THE VISEGRAD GROUP COUNTRIES
 
More details
Hide details
1
Faculty of Economics and Business, Institute of Applied Economic Sciences, University of Debrecen, Hungary
 
 
Submission date: 2021-01-03
 
 
Acceptance date: 2021-03-09
 
 
Online publication date: 2021-03-31
 
 
Publication date: 2021-03-31
 
 
Corresponding author
Anastasiia Burdiuzha   

Faculty of Economics and Business, Institute of Applied Economic Sciences, University of Debrecen, Egyetem tér, 4032, Debrecen, Hungary
 
 
Economic and Regional Studies 2021;14(1):1-13
 
KEYWORDS
TOPICS
ABSTRACT
Subject and purpose of work: Analysis of the innovative development trends of the agricultural sector in the Visegrad Group countries in 1995–2019. Investigation of the impact of innovation on value added to GDP by the sector and the patent activity. Materials and methods: Secondary data used in the current research were taken from Eurostat, World Bank and European Patent Office databases. They were analyzed by applying OLS models and Granger causality tests. Results: First, composition of R&D expenses in each Visegrad country was examined. Then its relationship to agricultural GDP and the number of the patents granted was tested by means of OLS models. Forecasting the relationship between variables examined was carried out by running Granger causality tests. Conclusions: There was a constant growth in agricultural innovation activity investment from 1995 to 2019. Nevertheless, the countries examined have not yet reached the EU’s objective concerning the R&D intensities. Innovation activity had a positive impact on the value added to GDP by agriculture and on the number of the patents granted.
PEER REVIEW INFORMATION
Article has been screened for originality
iThenticate
 
REFERENCES (15)
1.
Agriculture, forestry, and fishing, value added (% of GDP) (2020). Downloaded from: https://data.worldbank.org/ind... (access: 2020.11.01).
 
2.
D’Emden, F.H., Llewellyn, R.S., Burton, M.P. (2008). Factors influencing adoption of conservation tillage in Australian cropping regions. Australian Journal of Agricultural and Resource Economics, 52(2), 169-182. https://doi.org/10.1111/j.1467....
 
3.
EIP-AGRI (2014). Establishing Operational Groups under national and regional Rural Development Programmes. Downloaded from: https://ec.europa.eu/eip/agric... (access: 2020.11.15).
 
4.
European Commission (2010). EUROPE 2020 A strategy for smart, sustainable and inclusive growth. Downloaded from: https://ec.europa.eu/eu2020/pd... (access: 2020.10.25).
 
5.
Espacenet Patent search. Agriculture; Forestry; Animal husbandry; Hunting; Trapping; Fishing (2020). Downloaded from: https://worldwide.espacenet.co... (access: 2020.11.01).
 
6.
Granger, C.W.J. (1969). Investigating Causal Relationships by Econometrics Models and Cross Spectral Methods. Econometrica, 37(3), 424-438. https://doi.org/10.2307/191279....
 
7.
Intramural R&D expenditure (GERD) by sectors of performance and fields of science (2020). Downloaded from: http://appsso.eurostat.ec.euro... (access: 2020.11.01).
 
8.
Lapple, D., Renwick, A., Thorne, F. (2015). Measuring and understanding the drivers of agricultural innovation: Evidence from Ireland. Food Policy, 51, 1-8. https://doi.org/10.1016/j.food....
 
9.
Main GDP aggregates per capita (2020). Downloaded from: https://appsso.eurostat.ec.eur... u i /s h o w. d o?q u e r y = B O O K M A R K _ D S - 4 2 0 8 9 8 _ Q I D _ 6 C E 0 3 3 6 E _ U I D _ - 3 F 17 1 E B 0 & l a y o u t =T I M E , C , X , 0 ; -.GEO, L ,Y,0;U NI T, L , Z ,0;NA _ I T EM, L , Z ,1;IN DIC AT OR S ,C , Z , 2;& z S ele c t ion=DS - 420 8 98IN DIC AT OR S ,OB S _ F L AG; D S - 420 8 9 8 U N I T, C P_ PP S _ H A B ; D S - 420 8 9 8 N A _ I T EM , P41; & r a n k Na m e1= U N I T_ 1 _ 2 _ -1_2 &rankName 2= -I N D I C AT O R S _ 1 _ 2 _ -1 _ 2 & r a n k N a m e 3 = N A - I T E M _ 1 _ 2 _ -1 _ 2 & r a n k N a m e 4 =T I M E _ 1 _ 0 _ 0 _ 0 & r a n k N a m e 5 = -GE O _ 1 _ 2 _ 0 _ 1& s or t C =A S C _ -1 _ F I R S T& r St p = & c St p = & rD C h= & c D C h= &rDM= t r ue & c DM= t r ue & f o o t ne s = f a lse&empt y=false&wai=false&t ime_ mode=ROLLING&t ime_ most _ recent =false& lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23&eub_bm=nama_10_pc$DV_648&lang=en (access: 2020.11.01).
 
10.
Marsh, S.P., Pannell, D.J., Lindner, R.K. (2000). The impact of agricultural extension on adoption and diffusion of lupins as a new crop in Western Australia. Australian Journal of Experimental Agriculture, 40(4), 571-583. https://doi.org/10.1071/EA9908....
 
11.
OECD (2010). The OECD Innovation Strategy: Getting a Head Start on Tomorrow. Paris: OECD Publishing. https://doi.org/10.1787/978926....
 
12.
OECD (2013). Agricultural Innovation Systems: A Framework for Analyzing the Role of the Government. Paris: OECD Publishing. https://doi.org/10.1787/978926....
 
13.
OECD (2015). Frascati Manual 2015: Guidelines for Collecting and Reporting Data on Research and Experimental Development, The Measurement of Scientific, Technological and Innovation Activities. Paris: OECD Publishing. https://doi.org/10.1787/978926....
 
14.
Pannell, D.J., Marshall, G.R., Barr, N, Curtis, A., Vanclay, F., Wilkinson, R. (2006). Understanding and promoting adoption of conservation practices by rural landholders. Australian Journal of Experimental Agriculture, 46(11), 1407-1424. https://doi.org/10.1071/EA0503....
 
15.
Population, total (2020). Downloaded from: https://data.worldbank.org/ind... (access: 2020.11.01).
 
eISSN:2451-182X
ISSN:2083-3725
Journals System - logo
Scroll to top