scholarly journals Farm households’ perception about sugarcane outgrowers’ scheme: Empirical evidence around Wonji/Shoa Sugar Factory

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Gutema Bati Fedi ◽  
Fekadu Dereje Asefa ◽  
Abebe Tafa Waktole
2017 ◽  
Vol 44 (1) ◽  
pp. 53-59 ◽  
Author(s):  
Klaus Mittenzwei ◽  
Stefan Mann

Purpose Outside farming, pluriactivity is generally considered as undesirable, whereas agricultural economists tend to recommend part-time farming. This contradiction is to be solved. The paper aims to discuss this issue. Design/methodology/approach Linking tax-payer and statistical farm-level data from Norway, the authors tested how profitable part-time farming is for Norwegian farm households. Findings The analysis showed that concentrating on either working on-farm or off-farm generates a higher household income than combining the two. Practical implications Part-time farming may be a lifestyle decision, but apparently is not economically optimal for most farms. Originality/value The contribution solves an apparent contradiction between the discourses inside and outside agriculture.


2021 ◽  
Vol 13 (3) ◽  
pp. 1092
Author(s):  
Radosław Pastusiak ◽  
Michał Soliwoda ◽  
Magdalena Jasiniak ◽  
Joanna Stawska ◽  
Joanna Pawłowska-Tyszko

The topic of farms that deal with environmental constraints is an ongoing agricultural policy issue, including within the Common Agricultural Policy. We propose empirical evidence based on a sample of Farm Accountancy Data Network (FADN) farm households, evaluate the influence of chosen factors on financially sustainable farm development and verify less-favoured area (LFA) farms’ growth compared with non-LFA households. To specify farm households, we use the Sustainable Growth Challenge (SGC) model and DuPont decomposition based on financial measures and indicators that were adopted from corporate finance. It is concluded that the differences in SGC and revenue growth values between LFA and non-LFA farms mainly results from the system of subsidising LFA farms that receive compensation for farming in areas with adverse environmental conditions. Generally, the impact of agricultural policies on LFA and non-LFA farms is significant and may weaken the effect on LFA. With the exception of education, other sociodemographic factors do not highly influence farm efficiency. Along with improvements in the quality of human capital (e.g., higher education level), awareness of subsidies, and debt and innovative solutions increases. The interest in precision agriculture and agriculture 4.0 is also growing, which directly translates into better technological and financial efficiency of farms.


2019 ◽  
Vol 28 (4) ◽  
pp. 2331-2343 ◽  
Author(s):  
Radosław Pastusiak ◽  
Magdalena Jasiniak ◽  
Michał Soliwoda ◽  
Joanna Stawska

2021 ◽  
Vol 65 ◽  
pp. 101591
Author(s):  
Jeetendra Prakash Aryal ◽  
Dil Bahadur Rahut ◽  
Ganesh Thapa ◽  
Franklin Simtowe

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Andu Nesrey Berha ◽  
Yohannes Kefale Mogess ◽  
Mengistu Alamneh Wassie

Abstract Background Among others, the productive use of surplus labor is a viable mechanism to transform the agricultural sector and thus the whole economy in low-income countries. It is critically important to understand the factors that condition labor productivity to design and deploy effective agricultural and labor market policies. A few studies confirm that, at low-income levels, improving nutrition can contribute to the labor productivity of households. These studies rely heavily on self-reported farm data, which are prone to systematic and random measurement errors. The empirical evidence on this topic remains inadequate and inconclusive for this reason. Here, we substantiate whether better nutritional status enhances the labor productivity of farm households using objective measures of plot-level data from a recent household survey in Ethiopia. We also employ alternative measures of nutrition status indicators known as, Food Consumption Score (FCS) and Household Dietary Diversity Score (HDDS), inter alia, to capture additional aspects of nutrition such as diet quality and diversity, which are overlooked by calorie intake data. To deal with possible endogeneity, we employ a panel fixed effect estimation technique with a rich set of household socioeconomic and plot characteristics. Results We observe that the impact of current nutritional status, as measured by HDDS, on labor productivity varies considerably depending on the initial level of diet quality and diversity with a stronger and positive effect for low-consumption households. In an alternative specification, we also observe a positive farm labor productivity effect of current nutritional status as measured by FCS with a homogenous effect across households. However, the effect of the outcome of past nutritional status as evaluated by the Activity of Daily Living Index (ADLI) seems negligible. Conclusion Our findings indicate that improving nutrition can contribute to farm labor productivity at least for households with low current diet quality and diversity. Also, based on the findings, we conclude that there is a possibility of a low consumption–low productivity trap in Ethiopia.


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