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AGRICULTURAL TECHNOLOGY (2) answer(s).
 
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ID:   105859


Agricultural technology extension and adoption in China: a case from Kaizuo township, Guizhou province / Juanwen, Yuan; Niehof, Anke   Journal Article
Juanwen, Yuan Journal Article
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Publication 2011.
Summary/Abstract This article describes agricultural technology extension, access to channels of information and adoption of agricultural technology in rural Guizhou, China. It addresses the questions of whether the agricultural technology extension process matches the needs of the villagers and whether in using extension services and adopting technologies there are differences between older and younger cohorts of farming households. Few farming households can get formal extension services and their main channels of information are neighbours, relatives and friends. Older cohort households like to learn by experience, while younger ones like to use written materials. There also appear to be differences in the ways women and men adopt technologies. Technology delivery and farming households' needs are not well matched. Finally, the migration context has an influence on the suitability of technologies and the feasibility of applying them.
Key Words Agriculture  China  Agricultural Technology  Kaizuo  Guizhou Province 
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2
ID:   112309


Relationship between agricultural technology and energy demand / Zaman, Khalid; Khan, Muhammad Mushtaq; Ahmad, Mehboob; Rustam, Rabiah   Journal Article
Zaman, Khalid Journal Article
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Publication 2012.
Summary/Abstract The purpose of this study was two fold: (i) to investigate the casual relationship between energy consumption and agricultural technology factors, and (ii) electricity consumption and technological factors in the agricultural sector of Pakistan. The study further evaluates four alternative but equally plausible hypotheses, each with different policy implications. These are: (i) Agricultural technology factors cause energy demand (the conventional view), (ii) energy demand causes technological factors, (iii) There is a bi-directional causality between the two variables and (iv) Both variables are causality independent. By applying techniques of Cointegration and Granger causality tests on energy demand (i.e., total primary energy consumption and electricity consumption) and agricultural technology factors (such as, tractors, fertilizers, cereals production, agriculture irrigated land, high technology exports, livestock; agriculture value added; industry value added and subsides) over a period of 1975-2010. The results infer that tractor and energy demand has bi-directional relationship; while irrigated agricultural land; share of agriculture and industry value added and subsides have supported the conventional view i.e., agricultural technology cause energy consumption in Pakistan. On the other hand, neither fertilizer consumption and high technology exports nor energy demand affect each others. Government should form a policy of incentive-based supports which might be a good policy for increasing the use of energy level in agriculture.
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