Search Results - Education and state.

  1. AgriTech4Uzbekistan Innovation Challenge: Demo Day by CGIAR Accelerate for Impact Platform

    Published 2024
    “…The project is implemented in collaboration with Hackonnect, IT Park, innoWIUT Entrepreneur’s Lab of Westminster International University in Tashkent, the United Nations Development Programme Uzbekistan, FAO, the Agency of Innovative Development under the Ministry of Higher Education, Science and Innovation of Uzbekistan, the Ministry of Agriculture of Uzbekistan through the AKIS Center, Indorama, the Uzbekistan Venture Capital Association, the Tashkent State Agrarian University, and the International Agriculture University. …”
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    Video
  2. Technical Report : Barriers to the Adoption of new Agricultural Technologies in Morocco: A systematic review by Boughlala, Mohamed, Dhehibi, Boubaker, Souissi, Asma, Moussadek, Rachid, Baum, Michael

    Published 2025
    “…The report underscores that innovation is not purely technological but also requires the development of commercial strategies and supportive institutional frameworks, including state subsidies, and effective coordination between research, extension, and development services. …”
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    Internal Document
  3. Adoption impact and heterogeneity of mobile agricultural advisory technologies among smallholder farmers in Nigeria by Abioye, O., Fadare, D.A., Omitoyin, S.A., Ogunniyi, A.I., Olinya, P., Shaibu, A., Nwilene, F.E., Akande, A.

    Published 2025
    “…Using primary data from 795 farmers in Ebonyi State, the study applies a Propensity Score Matching (PSM) framework to estimate the causal effect of adoption on productivity while addressing potential selection bias arising from non-random participation. …”
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    Journal Article
  4. Factors affecting adoption of legume technologies and its impact on income of farmers: The case of Sinana and Ginir Woredas of Bale Zone by Tegegne, Y.

    Published 2017
    “…The objective of this study was to analyze factors influencing the adoption of improved agricultural technologies (improved seed and fertilizer) and its impact on income of farm households of legume producers in Sinana and Ginir Woredas’ of Bale Zone of Oromiya National Regional State. Primary data were collected from a sample of 210 households selected through stratified sampling techniques. …”
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    Tesis
  5. Global review of rural community enterprises : the long and winding road to creating viable businesses, and potential shortcuts by Donovan, Jason, Stoian, Dietmar, Poole, Nigel

    Published 2020
    “…Structural adjustment programs substantially reduced or eliminated state-backed marketing boards and production cooperatives, thus opening new spaces for RCEs in the commercializa-tion of agriculture and forest products. …”
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    Libro
  6. Attitudes concerning conservation in two different wildlife areas in Kenya by Larsson, Karin

    Published 2010
    “…Economical factors are also important, it is often stated that having more money results in a better attitude. …”
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    First cycle, G2E
  7. Situational analysis of Nyamagana Social-Ecological Landscape in the Cibitoke Province of Burundi by Niyuhire, M. C., Emera, W. D., Kagisye, A., Havyarimana, D., Niyoyankunze, J. M. V., Nkurunziza, C., Atampugre, Gerald, Tilahun, Seifu A., Cofie, Olufunke O.

    Published 2023
    “…This research aims to conduct a comprehensive situational analysis, shedding light on how drivers and pressures converge to define the state and impacts of SEL, while also emphasizing institutional and stakeholder responses. …”
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    Informe técnico
  8. Impact of climate smart agriculture on households’ resilience and vulnerability: an example from Central Rift Valley, Ethiopia by Ali, H., Menza, M., Hagos, Fitsum, Haileslassie, Amare

    Published 2023
    “…The results show that livestock holding, land size, level of education, and state of food consumption are major explaining factors of resilience, whereas educational level of households, livestock holding, and access to credit are found to be major factors explaining vulnerability. …”
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    Journal Article
  9. Myanmar Household Welfare Survey Round Four: Note on Sample Characteristics and Weighting by Myanmar Agriculture Policy Support Activity

    Published 2023
    “…The households were selected randomly from the phone database, in the same townships as the attrition households, and retained if they had similar characteristics to the attrition households in terms of urban/rural, gender, farm and low education. If the survey team could not meet those criteria, they called households with similar characteristics from the same state/region. …”
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    Data Paper
  10. Myanmar Household Welfare Survey Round Six: Note on Sample Characteristics and Weighting by Myanmar Agriculture Policy Support Activity

    Published 2024
    “…The households were selected randomly from the phone database, in the same townships as the attrition households, and retained if they had similar characteristics to the attrition households in terms of urban/rural, gender, farm and low education. If the survey team could not meet those criteria, they called households with similar characteristics from the same state/region. …”
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    Data Paper
  11. Gender disparities in the adoption of improved management practices for soybean cultivation in North East Nigeria by Kamara, A.Y., Kamsang, L., Mustapha, A., Kamara, A., Kolapo, A., Kamai, N.

    Published 2025
    “…This study examined gender disparities in the adoption and intensity of improved soybean management practices among 800 farming households in Borno State, Nigeria, with equal representation of male-led and female-led households. …”
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    Journal Article
  12. Swidden Transformations and Rural Livelihoods in Southeast Asia by Cramb, R., Colfer, C.J.P., Dressler, W., Laungaramsri, P., Le, Q.T., Mulyoutami, E., Peluso, N.L., Wadley, R.L.

    Published 2009
    “…These processes of differentiation can be accentuated by heavy-handed state interventions based on swidden stereotypes. …”
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    Journal Article
  13. Social networks and diffusion of agricultural technology: the case of sorghum in Metema Woreda, North Gondar, Ethiopia by Molla, D.K.

    Published 2008
    “…This study was undertaken in Metema woreda of North Gondar Zone, Amhara National Regional State and has been designed to throw light on the existing formal and informal social networks among re-settlers. …”
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    Tesis
  14. Resilience pathways: Understanding remittance trends in post-coup Myanmar by Myanmar Agriculture Policy Support Activity

    Published 2024
    “…Migrants with lower education are less likely to send remittances. Those migrating for employment and with work agreements are more likely to send remittances. …”
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    Artículo preliminar
  15. The production and diffusion of policy knowledge: a bibliometric evaluation of the International Food Policy Research Institute by Pardey, Philip G., Christian, Jason E.

    Published 2002
    “…This partly reflects the limited capacity to perform food policy research in many developing countries — itself a reflection of local priorities for education and limited, long-term international support to increase scientific capacity in developing countries — and also underscores the role IFPRI could, and arguably should, play in redressing this state of affairs." -- Authors' Abstract.…”
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    Informe técnico
  16. Adoption of chemical weed control technology among cassava farmers in south eastern Nigeria by Udensi, U.E., Tarawali, G., Ilona, Paul, Okoye, B.C., Dixon, A.

    Published 2012
    “…Probit analysis shows that factors related to the adoption of weed control technologies were gender at 5% in the negative direction in Abia North (Zone 1) and 10% in the positive direction in Abia Central (Zone 2); age at 5% negatively in Zone 1, educational status at 5% in the positive direction in Zone 1 and 10% pooled (entire State), house-hold size at 5% and 1% positively in Zone 2 and the entire State, respectively. …”
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    Journal Article
  17. Hur uppfattas pcSKOG AB och pcSKOG-gård av privata skogsägare? : en undersökning av en programvara för privatskogsbruket by Svedberg, Peter

    Published 2003
    “…The differences are for example due to the genus of the forest owners who live on the estate, their level of education and how important they state that the forest is for their economy. …”
    L3

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