scholarly journals Who Adopts Agroforestry in a Subsistence Economy?—Lessons from the Terai of Nepal

Forests ◽  
2020 ◽  
Vol 11 (5) ◽  
pp. 565
Author(s):  
Arun Dhakal ◽  
Rajesh Kumar Rai

Agroforestry is recognized as a sustainable land use practice. However, the uptake of such a promising land use practice is slow. Through this research, carried out in a Terai district of Nepal, we thoroughly examine what influences farmers’ choice of agroforestry adoption and what discourages the adoption. For this, a total of 288 households were surveyed using a structured questionnaire. Two agroforestry practices were compared with conventional agriculture with the help of the Multinomial Logistic Regression (MNL) model. The likelihood of adoption was found to be influenced by gender: the male-headed households were more likely to adopt the tree-based farming practice. Having a source of off-farm income was positively associated with the adoption decision of farmers. Area of farmland was found as the major constraint to agroforestry adoption for smallholder farmers. Some other variables that affected positively included livestock herd size, provision of extension service, home-to- forest distance, farmers’ group membership and awareness of farmers about environmental benefits of agroforestry. Irrigation was another adoption constraint that the study area farmers were faced with. The households with a means of transport and with a larger family (household) size were found to be reluctant regarding agroforestry adoption. A collective farming practice could be a strategy to engage the smallholder farmers in agroforestry.

Author(s):  
Arun Dhakal ◽  
Rajesh Kumar Rai

Land degradation is a critical issue globally putting our future generations at risk. The decrease in farm productivity over the years is evidence of land degradation severity in Nepal. Among the many strategies in place, agroforestry, which is an integrated tree-based farming, is widely recommended to address this productivity issue. This paper thoroughly examines what influences the choice of agroforestry adoption by farmers and what discourages the adoption. For this, a total of 288 households were surveyed using a structured questionnaire. Two agroforestry practices were compared with conventional agriculture with the help of the Multinomial Logistic Regression (MNL) model. The likelihood of adoption was found to be influenced by gender; the male-headed households were more likely to adopt the tree-based farming practice. Having a source of off-farm income was positively associated with the adoption decision of farmers. Area of farmland was found being the major constraint to agroforestry adoption for smallholder farmers. Some other variables that affected positively included livestock herd size, provision of extension service, home-to- forest distance, farmers’ group membership and awareness of farmers about environmental benefits of agroforestry. Irrigation was another adoption constraint that the study area farmers were faced with. The households with means of transport and with larger family (household) size were found to be reluctant towards agroforestry adoption. A collective farming practice could be a strategy to engage the smallholder farmers in agroforestry.


2021 ◽  
Vol 10 (6) ◽  
pp. 48
Author(s):  
David Mhlanga

The study intended to investigate the factors that are important in influencing the financial inclusion of smallholder farming households in Sub-Saharan Africa with a specific focus on Zimbabwe. Motivated by the fact that there is an increase in the evidence of the importance of financial inclusion in fighting poverty and the fact that by merely having a bank account, financial inclusion cannot be guaranteed, the study went further to interrogate factors that influence smallholder farmers to have a transaction account, to borrow and to have insurance. Since the dependent variable of financial inclusion had more than two categories, with three unordered categories, transaction account, savings/credit account, and insurance, the multinomial logistic regression was used to estimate the determinants of financial inclusion from these three categories of the dependent variable. The multinomial logit model results, with insurance as the reference category, indicated that the size of the household, transaction costs, gender and agricultural extension service were the factors influencing the demand for a household to open a transaction account. On the other hand, off-farm income and age of the household were the only two factors significantly influencing households to borrow. Therefore, it is imperative for, the government of Zimbabwe to come up with more policies that encourage farmers to participate in the formal financial market as financial inclusion can help to fight poverty and the general developments of societies.   Received: 28 April 2021 / Accepted: 31 August 2021 / Published: 5 November 2021


2021 ◽  
Vol 8 (2) ◽  
pp. 161-170
Author(s):  
Onuwa G.C ◽  
Adepoju A.O ◽  
Mailumo S.S

The need to increase arable crop production to keep pace with food demands for a growing population without degrading ecosystems can only be achieved through adoption of agroforestry. Agroforestry practices help to achieve food security, biodiversity, conservation and land sustainability. The 94 famers were chosen using a multistage sampling process. Descriptive and inferential statistics were used to analyze the data. Most (74%) of respondents practiced home gardening. The significant benefits derived from agroforestry were; food/fruits (97%) and soil improvement/conservation (88%). The mean adoption index was 0.27. The log-likelihood obtained from Tobit was 67.92 indicating that the independent variables significantly explained the variation in the farmer’s adoption decision. Educational level (β=0.426) and farm experience (β=0.597) were both positive and statistically significant at ρ˂0.05; farm income (β=0.568) was significant at ρ˂0.01, and extension contact (β=-0.887, ρ˂0.01) was negative and had a negative impact on agroforestry adoption. The constraints affecting the practice of agroforestry among arable farmers were; poor policies, inadequate extension services, insufficient improved tree species among others. The study recommends intensification of extension services and provision of incentives to farmers to promote agroforestry adoption to achieve increased food production and sustainable land-use systems.


2020 ◽  
Vol 94 (5) ◽  
pp. 2003-2020
Author(s):  
Elizabeth Gosling ◽  
Esther Reith ◽  
Thomas Knoke ◽  
Andrés Gerique ◽  
Carola Paul

Abstract Understanding farmers’ perceptions of and preferences towards agroforestry is essential to identify systems with the greatest likelihood of adoption to inform successful rural development projects. In this study we offer a novel approach for evaluating agroforestry systems from the farmer perspective. The approach couples rapid rural appraisal and normative optimisation techniques to determine favourable land-use compositions for meeting various socio-economic and ecological goals, based on farmers’ empirical knowledge and preferences. We test our approach among smallholder farmers in Eastern Panama, obtaining data from household interviews and using hierarchical cluster analysis to identify farm groups with similar land-use and income characteristics. We found that moderate differences in farmers’ perceptions between these groups altered the type and share of agroforestry included in the optimised land-use portfolios that balance the achievement of 10 pre-selected socio-economic and ecological objectives. Such differences provide valuable information about potential acceptability of agroforestry within each group. For example, we found that farmers who derive most of their farm income from crops may be more willing to adopt silvopasture, whereas farmers who are more economically dependent on cattle may benefit from diversifying their land-use with alley cropping. We discuss the potential of this modelling approach for participatory land-use planning, especially when dealing with small sample sizes and uncertainty in datasets.


Agriculture ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 215
Author(s):  
Ngarava ◽  
Mushunje

The objective of the study was to outline the determinants of market awareness and participation in the Kaonafatso ya Dikgomo (KyD) scheme in South Africa. The study utilised a cross-sectional survey of a randomly selected sample of 116 KyD farmers in KwaZulu-Natal Province. A Logit model was used to analyse the data. The results show that more farmers are aware of farmgate market channels, but however, they tended to utilise auction market channels. Furthermore, gender, marital status, educational level, employment status, farm income, source of income, herd size, labour and training were significant variables in the awareness and use of butcheries, auctions and farm gate markets. The study concludes that the scheme is particularly effective in influencing commercialisation through utilisation of more lucrative market channels such as auctions. Furthermore, socio-economic factors had a bearing on the awareness and use of marketing channels for smallholder farmers in the KyD scheme. Labour was particularly significant across butchery, auction and farm gate market channels. The study recommends that the scheme needs to improve awareness and use of market channels through utilisation of information platforms such as radio, television and direct communication though mobile phones. Furthermore, extension should assist farmers not only in awareness of markets, but also in the utilisation of those markets.


2002 ◽  
Vol 13 (3) ◽  
pp. 429-438 ◽  
Author(s):  
D. Murdiyarso ◽  
M. Noordwijk ◽  
U.R. Wasrin ◽  
T.P. Tomich ◽  
A.N. Gillison

2020 ◽  
Vol 12 (5) ◽  
pp. 1835
Author(s):  
Anja Schmitz ◽  
Bettina Tonn ◽  
Ann-Kathrin Schöppner ◽  
Johannes Isselstein

Engaging farmers as citizen scientists may be a cost-efficient way to answering applied research questions aimed at more sustainable land use. We used a citizen science approach with German horse farmers with a dual goal. Firstly, we tested the practicability of this approach for answering ‘real-life’ questions in variable agricultural land-use systems. Secondly, we were interested in the knowledge it can provide about locomotion of horses on pasture and the management factors influencing this behaviour. Out of 165 volunteers, we selected 40 participants to record locomotion of two horses on pasture and provide information on their horse husbandry and pasture management. We obtained complete records for three recording days per horse from 28 participants, resulting in a dataset on more individual horses than any other Global Positioning System study published in the last 30 years. Time spent walking was greatest for horses kept in box-stall stables, and walking distance decreased with increasing grazing time. This suggests that restrictions in pasture access may increase stress on grass swards through running and trampling, severely challenging sustainable pasture management. Our study, involving simple technology, clear instructions and rigorous quality assessment, demonstrates the potential of citizen science actively involving land managers in agricultural research.


Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 385
Author(s):  
Beatrice Nöldeke ◽  
Etti Winter ◽  
Yves Laumonier ◽  
Trifosa Simamora

In recent years, agroforestry has gained increasing attention as an option to simultaneously alleviate poverty, provide ecological benefits, and mitigate climate change. The present study simulates small-scale farmers’ agroforestry adoption decisions to investigate the consequences for livelihoods and the environment over time. To explore the interdependencies between agroforestry adoption, livelihoods, and the environment, an agent-based model adjusted to a case study area in rural Indonesia was implemented. Thereby, the model compares different scenarios, including a climate change scenario. The agroforestry system under investigation consists of an illipe (Shorea stenoptera) rubber (Hevea brasiliensis) mix, which are both locally valued tree species. The simulations reveal that farmers who adopt agroforestry diversify their livelihood portfolio while increasing income. Additionally, the model predicts environmental benefits: enhanced biodiversity and higher carbon sequestration in the landscape. The benefits of agroforestry for livelihoods and nature gain particular importance in the climate change scenario. The results therefore provide policy-makers and practitioners with insights into the dynamic economic and environmental advantages of promoting agroforestry.


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