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Contribution Analysis of ICT (New Generation Network) Investment for Agriculture In Uzbekistan

The new generation network and technology is changing the world day by day, so does in area of Agriculture. Agriculture is the basic stone of economic development in the transition countries. In the past decade, Information communication Technology is enriching people’s communication, which is the important criteria of knowledge society. In developed countries, ICT for agriculture is quite important. According to last research findings the technology contribution for Agriculture in developed countries is around 70 per cent. In developing countries such kind of research is not provided. The article analysis the contribution of the new generation ICT network investment for agriculture employing the Solow Residual theory and Cobb-Douglas Production function.
- Westminster International University in Tashkent Uzbekistan
- Tashkent State University of Economics Uzbekistan
- Tashkent State Economic University Uzbekistan
- Westminster International University in Tashkent Uzbekistan
- Tashkent State Economic University Uzbekistan
ICT (NGN), Technology Contribution for Agriculture, Cobb-Douglas Produciton Function, Solow Residual Theory, jel: jel:M00
ICT (NGN), Technology Contribution for Agriculture, Cobb-Douglas Produciton Function, Solow Residual Theory, jel: jel:M00
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
