Increased risk due to global warming has already become embedded in agricultural decision making in Central Asia and uncertainties are projected to increase even further. Agro-ecology and economies of Central Asia are heterogeneous and very little is known about the impact of climate change at the subnational levels. The bio-economic farm model... is used for ex-ante assessment of climate change impacts at sub-national levels in Central Asia. The bio-economic farm model is calibrated to ten farming systems in Central Asia based on the household survey and crop growth experiment data. The production uncertainties and the adaptation options of agricultural producers to changing environments are considered paramount in the simulations. Very large differences in climate change impacts across the studied farming systems are found. The positive income gains in large-scale commercial farms in the northern regions of Kazakhstan and negative impact in small-scale farms in arid zones of Tajikistan are likely to happen. Producers in Kyrgyzstan may expect higher revenues but also higher income volatilities in the future. Agricultural producers in Uzbekistan may benefit in the near future but may lose their income in the distant future. The negative impacts could be further aggravated in arid zones of Central Asia if irrigation water availability decline due to climate change and water demand increase in upstream regions. The scenario simulations show that market liberalization and improved commodity exchange between the countries have very good potential to cope with the negative consequences of climate change.
JEL classification: Q11, Q18
The adoption of new of Information and Communication Technologies (ICTs) in farming activities becoming crucial for developing countries in order to meet the challenges of rapidly growing populations, urbanization and arable agricultural land declination. Because of it, each farmers’ organization or farmer has to concern their agricultural pr...oducts and services more towards modernized and ICT related routine. The attempt has been made to analyze the reaction of the Macedonian farmers towards ICTs as a source of reliable and timely information about e-banking, online purchasing/selling, marketing, input and output optimization, increased revenue, remote farm management process etc. Semi-structured questionnaire was used for interviewing 132 semi-experienced and experienced farmers that use ICTs as sample for the research. The data were analyzed using appropriate statistics tool like correlation and Rank Based Quotient (RBQ). The findings showed that farmers stressed the cost of ICTs, lack of training, trust level in the government institutions, and lack of ICT infrastructure are thresholds for ICTs adoption and use in agriculture. This research contributes to understand the adoption and use of ICT, identify the constraints associated with ICT use and propose recommendations towards the improvement of ICTs for agriculture in the Republic of Macedonia.