Technology Development and Transfer

2010 ◽  
pp. 314-324
Author(s):  
Saikou E. Sanyang
Keyword(s):  
Technology Development ◽  
National Development ◽  
Agricultural Technology ◽  
Household Food Security ◽  
Agricultural Technologies ◽  
Farmer Organizations ◽  
Private Participation ◽  
Development Technology ◽  
Effective Transfer ◽  
And Diffusion

Agricultural technology development and transfer is a driving force for national development. The perspective is to reduce poverty and hunger facing people by adopting new measures to raise income and attain household food security. This is attainable through the establishment of research institutions, extension services, farmer organizations, and public private participation. The primary function of extension service is to deliver efficient and effective transfer of agricultural technologies to farmers as a factor for rural development. The importance of technology development and transfer approaches in developing countries has been recognized as a tool for economic development. Technology development and transfer economics create employment opportunities, reduce poverty, and enhance economic growth. Therefore, better agricultural technologies and better policies can serve as catalysts for economic return. This chapter examines the components of agricultural technology development and transfer and offers implied lessons for emerging technologies like nanotechnology and microelectronics transfer and diffusion.

scholarly journals Adoption of improved agricultural technology and its impact on household income: a propensity score matching estimation in eastern Ethiopia

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Muluken G. Wordofa ◽  
Jemal Y. Hassen ◽  
Getachew S. Endris ◽  
Chanyalew S. Aweke ◽  
Dereje K. Moges ◽  
...  
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Technology Use ◽  
Household Income ◽  
Agricultural Technology ◽  
Primary Data ◽  
Farm Income ◽  
Agricultural Technologies ◽  
Eastern Ethiopia ◽  
The Impact

Abstract Background Adoption of improved agricultural technologies remains to be a promising strategy to achieve food security and poverty reduction in many developing countries. However, there are limited rigorous impact evaluations on the contributions of such technologies on household welfare. This paper investigates the impact of improved agricultural technology use on farm household income in eastern Ethiopia. Methods Primary data for the study was obtained from a random sample of 248 rural households, 119 of which are improved technology users and the rest are non-users. The research employed the Propensity Score Matching (PSM) procedure to establish the causal relationship between adoption of improved crop and livestock technologies and changes in farm income. Results Results from the econometric analysis show that households using improved agricultural technologies had, on average, 23,031.28 Birr (Birr is the official currency of Ethiopia. The exchange rate according to the National Bank of Ethiopia (NBE) was 1 USD = 27.6017 Birr on 04 October 2018.) higher annual farm income compared to those households not using such technologies. Our findings highlight the importance of promoting multiple and complementary agricultural technologies among rural smallholders. Conclusions We suggest that rural technology generation, dissemination and adoption interventions be strengthened. Moreover, the linkage among research, extension, universities and farmers needs to be enhanced through facilitating a multistakeholders innovation platforms.

Design Model Research of Software Testing Case Based on Requirement Characteristics

2014 ◽  
Vol 513-517 ◽  
pp. 1621-1624
Author(s):  
Zhi Jian Diao
Keyword(s):  
Software Quality ◽  
Technology Development ◽  
Quality Level ◽  
Test Case ◽  
Application Layer ◽  
Test Cost ◽  
Model Research ◽  
Development Technology ◽  
Multiple Characteristics ◽  
Testing Case

with the computer technology development, software expands the application layer and shows the multiple characteristics of requirement. In recent years, the summarized scale of software system obtains the development and the development technology becomes complicated. Under this condition, software quality receives more attention. The accepted route can distinct the software quality level. Moreover, the created relative use cases will promote the test. Therefore, develop the test automatic layer can decrease the test cost, increase the software summarization quality. We can explore the test case, create the schema, and build the available model.

Agricultural Technology in the Developing World: A Meta-Analysis of the Adoption Literature

2018 ◽  
Author(s):  
Sacha W. Ruzzante ◽  
Amy M. Bilton
Keyword(s):  
Developing World ◽  
Meta Analysis ◽  
Agricultural Technology ◽  
Predictor Variables ◽  
Adoption Studies ◽  
Agricultural Technologies ◽  
Extension Services ◽  
Policy Makers ◽  
Quantitative Studies ◽  
Cast Doubt

Agricultural technology transfer to people in the developing world is a potentially powerful tool to raise productivity and improve livelihoods. Despite this, many technologies are not adopted by their intended beneficiaries. Qualitative studies have identified guidelines to follow in the design and dissemination of agricultural technology, but there has been comparatively little synthesis of quantitative studies of adoption. This study presents a meta-analysis of adoption studies of agricultural technologies in the developing world. The results confirm most earlier findings, but cast doubt on the importance of some classic predictors of adoption, such as education and landholding size. Contact with extension services and membership in farming associations are found to be the most important variables in predicting adoption. Attributes of the technologies are found to modify the relationships of predictor variables to adoption. Membership in farming associations and farmer experience are found to be positively linked to adoption in general, but for technologies that reduce labour the effect is amplified. The findings have potential implications for researchers, extension workers, and policy makers.

scholarly journals The impact of uptake of selected agricultural technologies on rice farmers’ income distribution in Ghana

2022 ◽  
Vol 11 (1) ◽  
Author(s):  
Monica Addison ◽  
Kwasi Ohene-Yankyera ◽  
Patricia Pinamang Acheampong ◽  
Camillus Abawiera Wongnaa
Keyword(s):  
Income Inequality ◽  
Income Distribution ◽  
Empirical Result ◽  
National Development ◽  
Farm Size ◽  
Rice Seed ◽  
Agricultural Technologies ◽  
Rice Farmers ◽  
Rural Income ◽  
The Impact

Abstract Background Government of Ghana’s effort to reduce income inequality consistently poses a major challenge to public policy formulation. The promotion and dissemination of agricultural technologies as a pathway out of income inequality in rural Ghana have received widespread support. Yet, knowledge about the impact of agricultural technologies on rural income inequality remains low. The objective of the study is to evaluate the link between the uptake of improved rice technologies and income distribution in the study area. Methods This paper uses a survey data from 917 smallholder rice producers in selected communities in Ghana. The study employs the Bourguignon, Fournier, and Gurgand (BFG) selection bias correction model, a two-stage model, to empirically analyse the role of agricultural technologies in rural income distribution. Results The empirical result shows that education, farm size, land ownership, participation in relevant extension training programmes enhance adoption, but gender (female) inhibits uptake of the selected technologies. The empirical result further shows that the uptake of the improved rice seed and fertilizer increases rice farmers’ net revenue significantly. The result further indicates that farmers’ choice of the selected agricultural technologies decreases the sample population income inequality, indicating the uptake of the technologies has an equalizing effect on rice farmers’ income distribution. Conclusion The study concludes that the use of the selected technologies has potential to fight rural poverty in Ghana. The findings have implications for National Development Planning Commission (NDPC) agenda of redistribution of wealth in Ghana.

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