18pgs, This analysis investigates the potential mechanisms and the practical significance of agricultural value chain development in a geographically challenging rural area of a developing country. Using data from a carefully designed primary survey administered in a hill and mountainous region in Western Nepal, we show that linking small-scale producers to regional and local traders can help increase income. Analysis of impact pathways shows that the positive impact on household income emerges through higher agricultural income, driven by higher sale volume at lower prices. Focusing on high value commodities in rural areas, where arable land is not always fully exploited or utilized, appears to lead to acreage expansion and some crop switching, contributing to higher supply albeit at lower prices. The positive impact on household income is practically significant; it helps improve household food security and asset accumulation. These findings are robust to alternative specifications. Targeted value chain interventions that strengthen and stabilize small-scale producers’ access to markets can contribute to rural poverty reduction via increase in agricultural income.
16 pages, There is growing evidence that religiosity affects important socio-economic outcomes. A potential channel through which religiosity affects these outcomes is by shaping individuals’ risk preferences. We combine a lab-in-the-field experiment, survey, and focus-group discussions to investigate the effect of religiosity on risk-taking among rural people in Ethiopia. We find evidence that religious farmers are more risk-taking. The effect is likely driven by the trust/belief in God as the omniscient and just power in determining outcomes under uncertainty. This is further corroborated by results from follow-up focus-group discussions.
14 pages, This paper seeks to assess the factors influencing the adoption of the improved crop management practices (ICMP) in Boane District in Mozambique. The study was carried out using a qualitative survey method with a semi-structured interview schedule. Regression analysis and Pearson correlations were used to analyse the factors, constraints, and opportunities influencing the adoption of the improved crop management practices. The study covered a sample of 50 households. The results of the study show that the majority of the farmers (68%) in the Boane District adopted the improved crop management practices, compared to those who did not adopt them (32%). According to the logistic regression analysis, two factors (age and access to credit) were significant (p<0.05) at the 5% level of significance with the adoption of ICMP, meaning that age and access to credit have an influence on the adoption of the improved crop management practices in the Boane District. The study recommended that the Agricultural Development Fund and the district development should solve the challenge of low financial investments, which is the major problem of most smallholder farmers, limiting their response to the production process, and to adopting the improved crop management practices in the Boane District.
25 pages., The study adopted survey research design. The population of the study consisted 1200 respondents comprising (staff of the Zamfara State Agricultural Development Project, FADAMA III Project, IFAD, Animal rearers and Farmers). Instruments of data collection used for the study were the questionnaire, interview and discussions. One thousand two hundred questionnaires were distributed to respondents and only 988 (82.2%) were dully returned and found usable. The results of the responses were interpreted using simple percentage and frequency tables. The findings of the study include, that 95% of Zamfara State population are farmers, Maru and Gusau Local Government Areas recorded the highest farmers’ population. It was also discovered that there was a high rate of awareness of climate change information in the State with Radio, Television, extension services as major sources of climate change information in the State. It was also discovered that farmers in the State utilize climate change information like taking decisions on what and when to plant, planting improved crop varieties among others. There is also the challenges of reduction in annual rainfall, deforestation, insect-pests attack, high temperature among others. Recommendations were made for intensified awareness campaign on climate change, increased budgetary allocation to the agricultural sector for more mitigation and adaptation capacity for the farmers.
9pgs, This research was conducted in Swabi district of Khyber Pakhtunkhwa with the aims to study the knowledge of farmers and to evaluate the perceptions of the farmers about Climate Change (CC). To accomplish these objectives primary data was collected from 98 randomly selected farmers by structure questionnaire through face to face interview method and was analysed by using descriptive statistics. Findings revealed that majority (93%) of farmers were aware of CC phenomena and perceived changes in temperature (89%) and precipitation (86%) during the last decade. Crop diversification, soil and water management practices and application of necessary farm inputs were the farmer’s preferred adaptive strategies to CC. Barriers to adaptive strategies were the ineffective government support, lack of capital, information and extension services, traditional beliefs and high cost of farm inputs. The study concludes that climate is changing and the farmers are practicing different adaptive strategies to overcome this problem, but still there is a space for more scientifically verified strategies which can boost the farmer’s productivity and increased the overall wellbeing for the future sustainability of farming.
15 pages, Advisory services are considered to play an important role in the development of competitiveness and sustainability in agriculture. Advisory services have been studied at policy level, structural level and within case studies, but there is still restricted knowledge about advisors’ and farmers’ view on advisory services in general. This paper presents the views of Swedish advisors and farmers on advisory services. In a survey-based study, perceptions of farm advisors and full-time farmers in commercial Swedish agriculture on advisory services were identified and statistically analysed, comparing differences between and within the groups. The results are structured around three main themes; motives for a farmer using or not using advisory services, preferred approach by the advisor and future demands on advisory services and their importance today. Possible consequences of differences in perceptions for on-farm service delivery were assessed. Similarities in perceptions on advisory services among advisors and farmers, were found in areas characterised by well-defined questions or production-related issues. Significant differences in perceptions of advisors and farmers emerged in less concrete areas and on topics connected to change, management and strategy. Consequences of discrepancies in perceptions are that advisors may deliver too much, too little or off target, especially when expectations on advisory services are not clearly expressed. A strong and proactive back-office supporting the advisors is needed to prevent these possible consequences.
13pgs, This article examines the effects of neighborhood on the farmer's technical efficiency (TE) level, adopting a stochastic frontier and spatial Durbin regression models. Our study exploits a three-wave household-level panel data from the Ethiopian Rural Socioeconomic Survey (ERSS) collected between 2011 and 2015. We find that farmers have an average TE score of 53%, implying a substantial potential for improvement in the production level. We further find that there is a positive and statistically significant spatial interdependence in TE levels between farms in neighboring communities. Input use, education, and other demographic characteristics are found to have significant positive direct and indirect effects. The findings suggest that policies and programs targeting productivity improvements in agriculture need to consider spatial spillover effects.
13 pages, In Ghana, groundwater, accessed through wells and boreholes, is generally unregulated and may be contaminated with pollutants including excess nitrates from agricultural chemical fertilizers. Yet, studies estimating how clean groundwater is valued are not available in Ghana. In addition, some research suggests that the pre-experiment information provided to survey respondents affects their valuation of an identical outcome. This paper estimates smallholder farmers’ preferences for groundwater protection using pre-experiment information focused on one of two outcomes: environment or health. The double-bounded contingent valuation (DBCV) approach is used to estimate willingness to pay (WTP) to protect groundwater quality. The estimation accounts for shift and anchoring effects, which are common issues with the DBCV method. The mean WTP from the health (environmental) information subsample is about US$19 (US$17) per acre, and the values are significantly different between the information conditions. The findings shed light on the importance of using precise information in eliciting WTP in a developing country setting.
35pgs, The idea that citizens' support for environmental policies depends on their economic interest and the community that one lives in, has been debated extensively in the environmental attitudes literature. However, this literature has not differentiated between separate policy dimensions that concern measures that affect specific groups in different ways. This paper differentiates between a nature/agriculture dimension that divides those who prioritize the agrarian interest from those who prioritize the protection of nature and a climate/energy dimension that divides those who prioritize industrial interest from those who prioritize fighting climate change, using a new survey in the Netherlands (N = 11,327). This two-dimensional model meets three criteria: scalability, validity, and utility. Scalability is shown by factor analysis and Mokken scaling. Validity is shown by regression analyses that show that whether one lives in a rural or an urban community predicts one's position on the nature/agriculture dimension and that one's financial security predicts one's position on the climate/energy dimension. The utility is shown by regression analyses where the two dimensions are used to predict voting behavior. The Green Party voters favor nature and climate protection, the Liberal Party voters have the opposite views, the Christian-Democrats favor agricultural interests and the Freedom Party favor industrial interests.
9 pages, A new method for evaluating the influence of Extension programming involves exploring whether Extension clientele differ from others in knowledge and behavior related to a particular topic. Analysis of South Dakota farm survey data allowed for the assessment of potential impacts of Extension through comparison of knowledge and adoption regarding soil conservation practices among farmers who did and did not use Extension. Results suggest that, controlling for some farmer and farm characteristics, use of Extension is associated with higher levels of knowledge and greater adoption rates. The new evaluation methodology can be used for assessing broad-scale impacts across Extension program areas.
