Information and Communication technologies as agricultural extension tools

Anatoli Marantidou (), Anastasios Michailidis and Afroditi Papadaki-Klavdianou ()
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Anatoli Marantidou: Department of Agricultural Economics, Aristotle University of Thessaloniki, Greece
Afroditi Papadaki-Klavdianou: Department of Agricultural Economics, Aristotle University of Thessaloniki, Greece

Scientific Bulletin - Economic Sciences, 2011, vol. 10, issue 1, 114-125

Abstract: Knowledge and innovation society are becoming priorities to the welfare and quality of life of the rural population. This is based substantially on scientific and technological progress. Information and Communication Technologies (ICTs) accelerate rural development by contributing to more efficient management and rapid knowledge dissemination. ICTs are defined as a different set of technological tools and resources used for communication and for the creation, processing, dissemination, storage and information management. The rapid revolution in modern agriculture has led to investigations in many regions. One of them is the rural region of the prefecture of Pella that exists many years in the agricultural sector. The objective of this research is to evaluate the adoption of ICTs among farmers and determine the importance of agricultural extension as an information source in the region of Central Macedonia. For this purpose, the approaches of summary statistics in combination with multivariate statistical analysis techniques have been used. In particular, through the statistical package SPSS (v.16.0), there were employed two correlation methods: (a) the categorical regression model and (b) the two-step clustering. The primary research data were collected using a specifically constructed questionnaire, supplemented by personal interviews with farmers of the prefecture of Pella. The sampling result was to collect a general sample of 303 valid questionnaires.

Keywords: Categorical Regression; Central Macedonia; Information and Communication Technologies; Rural development; Two-step clustering (search for similar items in EconPapers)
JEL-codes: C42 D19 R58 (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (3)

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