Enhancing on-farm diversity: drivers and constraints. A review.

Author(s):  
Francesco Tacconi ◽  
Katharina Waha ◽  
Jonathan Ojeda ◽  
Peat Leith

<p>Enhancing and maintaining on-farm diversity represent a potential strategy to improve farming systems sustainability, by reducing the pressure on the natural environment, alleviating farmers' risks and vulnerabilities, and increasing farms resilience. However, farms are complex systems and on-farm diversification, intended as the production of multiple crop, trees and/or livestock species, is not a panacea and it is driven or constrained by different factors and dynamics that vary across environmental, socio-economic and political contexts.</p><p>We argue that identifying indicators that reflect these drivers, constraints and contexts at farm scale is crucial to create favourable conditions for the farmers to increase on-farm diversity where doing so is likely to be beneficial. Therefore, the aim of this paper is to identify and clarify some of the patterns behind the process that lead farmers to adopt farm diversification strategies in order to understand where investments and interventions to support diversification are likely to be appropriate and effective, and how they should be targeted.</p><p>In this review, we analysed 97 articles, selected from the screening of 2,312 articles retrieved from Web of Science and Scopus, and published in English in peer-reviewed journals since 2010. Our selection criteria required that the articles focused on the analysis of drivers and constraints of agricultural diversification, intended as crops and/or livestock systems, agrobiodiversity and agroforestry systems, at farm and household scale.</p><p>From the selected studies, we identified and extracted a total of 239 different variables that were statistically assessed as potential drivers and constraints of farm diversity at farm scale. For each of the variables we counted the times they resulted as positive, negative and statistically significant, or not statistically significant. To present and discuss the results, we followed the Sustainable Rural Livelihood Framework, classifying the extracted variables as external (agroecological context, the political and institutional context, and exposure to environmental and market risks and shocks) and internal factors (human, economic/financial, socio-cultural and physical capitals), or other livelihood options (i.e. off-farm income).</p><p>Our findings show that the decision to maintain or increase on-farm diversification is a common strategy to cope with environmental and market risks, but that it is often alternative and negatively correlated to the adoption of off-farm livelihood. Overall, the drivers and constraints of diversification were highly context-dependent and contingent. For some relevant variables, such as farm size, household head's age, rainfall level and education, we also found some evidence of the presence of non-linear (e.g. inverted-U) relationships.</p><p>These results enforce the hypothesis of the complexity of land uses decision and the importance of understanding farms’ and farmers’ characteristics, and their local and wider context when it comes to design policies and research projects for sustainable rural development.</p>

2016 ◽  
Vol 8 (6) ◽  
pp. 1
Author(s):  
Frederick Murdoch Quaye

<p>This paper analyzes the determinants of farm income among farmers producing crops and animals in the Greater Accra Region of Ghana. It further estimates the willingness to pay for agricultural insurance by farmers. The farm income function was evaluated using a logarithmic function in which farm income is regressed as a function of determinants affecting it. The econometric results suggest that gender, education, farm size, farming experience, fertilizer usage and input cost all have a positive and statistically significant association with farm income. The results indicate that when investing in agriculture in the study region, weather hazards and pest and disease attacks are two important risk factors that need to be considered in the implementation of insurance policies since they have and statistically significant negative associations with farm income. The paper further observes that weather and pest/disease attacks are two significant risk factors that tend to influence farmers’ willingness to adopt and pay for agricultural insurance.</p>


2005 ◽  
Vol 37 (1) ◽  
pp. 37-48 ◽  
Author(s):  
Kevin T. McNamara ◽  
Christoph Weiss

The paper analyzes the relationship between off-farm labor allocation and on-farm enterprise diversification as farm household income stabilization strategies with census data from the federal state of Upper Austria, Austria. The results suggest that both on-farm diversification and off-farm labor allocation are related to farm and household characteristics. Larger farms tend to be more diversified. Younger farmers are more likely to work off-farm. Larger farm households tend to allocate more labor to off-farm income activities.


Agrosearch ◽  
2021 ◽  
Vol 20 (2) ◽  
pp. 67-81
Author(s):  
L.E. Odoemlam ◽  
F.C. Nzeakor

The study examined the level and determinants of adoption of improved vegetable production practices in the study area. A three-stage sampling procedure was used in the selection of 160 respondents. A structured questionnaire was used for data collection. Data collected were analysed using descriptive statistics and Probit regression model. Results on adoption level of the selected improved vegetable production practices indicated that improved seeds had a grand mean of 𝑥̅ = 3.17, field preparation (𝑥̅ = 3.19), planting distance (𝑥̅ = 2.99), water management (𝑥̅ = 3.43), fertilizer/organic manure application (𝑥̅ = 3.55), pesticides (𝑥̅ = 2.57), harvesting ( 𝑥̅= 5.00) and storage procedure (𝑥̅ = 4.89) based on 5-point Likert scale adoption level. On factors influencing adoption of improved vegetable production practices, the result revealed that farm size (1.00188***), credit access (4.704902**), on-farm demonstration (2.900749**) and farm labour (1.295902***) had a positive and significant influence on improved vegetable production practices by the respondents. The result further indicated that the age (0.3135258***) and the off-farm income (0.0870768) of the farmers had a negative influence on the adoption of improved vegetable production practices. Based on these findings, the study revealed that the women farmers could have full adoption of the improved production practices if the factors are adequately addressed. The study therefore recommends that before the introduction of a new technology, the ADPs should ensure that maximum audience analysis is carried out to address some of the factors influencing adoption. Besides, introduction of new technologies to farmers should go hand-in-hand with on-farm demonstration since it is by that they would develop confidence and allay their fears associated with improved practices.


2017 ◽  
Vol 46 (1) ◽  
pp. 3-12 ◽  
Author(s):  
Diep Thanh Tung

This study aims to assess levels of on-farm diversification in Vietnam. The results reflect regional differences in terms of on-farm diversification and its determinants. Households in northern regions have adapted to the fragmented and small-sized parcels of land by diversifying their on-farm activities. In contrast, the Mekong Delta region in the south of Vietnam is characterized by larger agricultural parcels and a specialization in rice production. Land use fragmentation, as reflected by a large number of plots in a given area, is one of the most important reasons for the high levels of on-farm diversification, while the higher share of non-farm income in total income is the reason of lower levels of on-farm diversification. Households have reacted to natural and economic shocks by diversifying their on-farm activities. The non-stationary Markov chain model used here shows various diversification scenarios and trends. In most cases, the on-farm diversification is expected to reduce in coming years.


2019 ◽  
Vol 80 (6) ◽  
pp. 1042-1052 ◽  
Author(s):  
Elina Tampio ◽  
Erika Winquist ◽  
Sari Luostarinen ◽  
Marketta Rinne

Abstract This study assessed the nutrient flows and the economic viability of a farm-scale grass biorefinery concept for a pig farm. Grass silage was separated into liquid and solid fractions; the liquid fraction was used as pig feed and the solid fraction was directed to biogas production together with pig slurry. The addition of grass to the farm's crop rotation and its use in feed and biogas production slightly increased the share of nitrogen (N) circulating within the farm (by 2%), thus decreasing phosphorus circulation by 3%. Despite the positive effect on N balance, the economy of the farm-scale concept had challenges. However, upgrading biogas to vehicle fuel and selling it on farm was more economically viable than combined heat and power production. The proposed concept could be economically viable with a slight increase in the price of vehicle fuel, a moderate increase in the price of the grass liquid fraction, or better optimization of the system, starting with grass cultivation and processing. Moreover, profitable production could also be reached by increasing the scale of production by increasing farm size or by two or more farms working together.


2005 ◽  
Vol 34 (2) ◽  
pp. 253-264 ◽  
Author(s):  
Ashok K. Mishra ◽  
Timothy A. Park

The Internet may reduce constraints on a farmer's ability to receive and manage information, regardless of where the farm is located or when the information is used. Using a count data estimation procedure, this study attempts to examine the key farm, operator, regional, and household characteristics that influence the number of Internet applications used by farm households. Findings indicate that educational level of the farm operator, farm size, farm diversification, off-farm income, off-farm investments, and regional location of the farm have a significant impact on the number of Internet applications used.


2017 ◽  
Vol 46 (1) ◽  
pp. 20-27 ◽  
Author(s):  
Rosaine N Yegbemey ◽  
Evince O Yegbemey ◽  
Jacob A Yabi

The aim of this article was to analyse possible relationships between observed climate change adaptations as developed by farmers and the sustainability level of their production systems. The sustainability levels were measured through a participatory indicators-based approach. A tri-variate Tobit regression model including the observed climate change adaptations as explanatory variables was specified to analyse the main drivers of the measured sustainability levels. Data collection was conducted by survey methods on 336 maize producers randomly sampled and interviewed based on a questionnaire in North Benin. The results highlighted that farmers’ socio-economic characteristics such as contact with extension services, organization membership, access to credit, farm size and observed climate change adaptations such as on-farm diversification, land use changes and other adaptations were found to be the major driving forces underlying the sustainability level of maize farming systems. Among the observed climate change adaptations, on-farm diversification and land use change strategies were found to be sustainable options, whereas other adaptations such as change of activity (e.g. on-farm to off-farm activity), migration to another agro-ecological zone, prayers and access to credit appeared to be unsustainable options.


2013 ◽  
Vol 23 (1-2) ◽  
pp. 143-150 ◽  
Author(s):  
MT Parvin ◽  
M Akteruzzaman

The study has been conducted to examine the factors influencing farm and nonfarm income of Haor economy in Bangladesh. Dingaputa Haor area of Netrokona district was selected for the present study and a sample of 60 farmers had been taken randomly. The log linear form of Cobb-Douglas production function was chosen to determine the effects of socioeconomic variables on farm income and non-farm income. Apart from this, some descriptive statistical analysis were done to examine the socioeconomic characteristics of sampled households. The estimated results of the regression models revealed that family size and farm size had a significant positive effect on farm income and non-farm income had a significant negative effect on farm income. On the other hand, family size had a positive and significant effect on non-farm income and farm income had a negative and significant effect on non-farm income. To promote the farm and non-farm sector income and strengthening its potential linkages between them, the study mainly recommends increasing efforts on two fronts: first, reforming the institutions responsible for rural development and second, development activities and projects that would enhance farm and non-farm income and the linkages between them.DOI: http://dx.doi.org/10.3329/pa.v23i1-2.16578Progress. Agric. 23(1 & 2): 143 – 150, 2012


2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Benjamin Tetteh Anang ◽  
Kwame Nkrumah-Ennin ◽  
Joshua Anamsigiya Nyaaba

Participation of farm households in off-farm work has gained prominence in recent times as an income diversification strategy. The effect of off-farm work on farm income is however unclear. This paper therefore sought to provide empirical evidence of the income effect of off-farm activity participation using a cross section of maize farmers in Tolon District of Ghana as a case study. In order to account for sample selection bias, the Heckman selection model was used to estimate the factors influencing participation in off-farm work and the determinants of farm income. Furthermore, the study employed propensity score matching to evaluate the impact of off-farm work on farm income. The results indicate that participation in off-farm work is influenced by sex, age, and years of formal education of the respondent, farm size, and number of dependents while farm income is influenced by age of the respondent, farm size, and access to credit. In addition, the result of the propensity score matching revealed that participants in off-farm work increased their farm income by at least GH¢ 1702 as a result of income diversification. The rural economy therefore provides off-farm and on-farm linkages that enhance farmers’ income from agriculture. The creation of employment opportunities outside the farm will therefore complement on-farm work and enhance income from farming.


Land ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 899
Author(s):  
Wenjing Han ◽  
Zhengfeng Zhang ◽  
Xiaoling Zhang ◽  
Li He

The rural land rental market is playing an increasingly important role in the agricultural transformation period for developing countries, including China, where rural farmland rental is highly context-specific with the implementation of the collective-owned rural land system; thus, in turn, the access to farmland rental markets for rural households has profoundly influenced their livelihood strategies and income earnings. This paper investigates the income impact differences caused by rural households’ farmland rental participation activities and explores such impact mechanisms by further evaluating the income impacts caused by rental area and household agricultural productivity. Data from the Chinese national household survey were used for estimating the empirical models. Our results show that farmland renting has positively affected households’ on-farm and total income, but there is no significant effect upon off-farm income. According to income differences across quantiles, we find households with high on-farm income are more sensitive about enlarging their farm size by renting farmland, and households with middle and upper-middle off-income may benefit more from renting out their farmland. Furthermore, the joint effects of renting area and household agricultural productivity on lessee households’ farm income is significantly positive. For lessor households, our results indicate that renting out farmland did not improve their off-farm and total income as it may have a limited effect on farm household labor distribution. Our findings suggest that engaging in farmland rental activity can enhance farming productivity efficiency and poverty alleviation among rural households. Under the collective-owned rural land system, it is urgent and necessary to initiate and design incentive policies to encourage highly efficient large farms to expand the farm size and provide smallholders with equal opportunities to engage in farmland rental activities.


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