Market imperfections,access to information and technology adoption in Uganda: challenges of overcoming multiple constraints

Limited empirical evidence exists on how multiple binding constraints influence the adoption of improved technologies by smallholder farmers. This article uses the case of groundnut variety adoption in Uganda to investigate the role of information, seed supply, and credit constraints in conditioning technology uptake. New data from a household survey in seven groundnut growing districts (n = 945) indicate that 8% of farmers lack information on new varieties, while 18% and 6% of farmers, respectively, cannot adopt mainly due to seed supply and capital constraints. A tobit‐type specification that considers all nonadopters as being uninterested in the technology (i.e., corner solutions) would lead to inconsistent parameter estimates and incorrect conclusions in this context. We therefore estimate a modified multi‐hurdle specification of demand for new varieties, taking into account how information, seed supply, and capital constraints jointly determine adoption probability and intensity. The study reveals new empirical insights on why agricultural technology adoption in Africa has lagged behind: slow uptake is not mainly due to a lack of economic incentives, but rather a reflection of information, seed supply, and credit constraints that prevent farmers from translating their desired demand into adoption of modern varieties. Policy implications are discussed.     

Information Barriers to Adoption of Agricultural Technologies: Willingness to Pay for Certified Seed of an Open Pollinated Maize Variety in Northern Uganda

We examine smallholder farmers’ willingness to pay for agricultural technology and whether information is a constraint to adoption of certified maize seed in Northern Uganda. The uptake of improved maize varieties by smallholder farmers in Uganda remains persistently low, despite the higher yield potential compared to traditional varieties. A recently growing body of literature identifies information constraints as a potential barrier to adoption of agricultural technologies. We used incentive compatible Becker‐DeGroot‐Marschak auctions to elicit willingness to pay for quality assured improved maize seed by 1,009 smallholder farmers, and conducted a randomised evaluation to test the effect of an information intervention on farmers’ knowledge of seed certification. Our results show that the randomised information treatment enhanced farmers’ knowledge of certified seed. However, using the information treatment as an instrumental variable for knowledge, we find no evidence of a causal effect of knowledge on willingness to pay, suggesting that even though farmers are information constrained, this constraint does not affect adoption of certified seed directly. Nevertheless, only 14% of sampled farmers were willing to pay the market price, which corresponds closely with actual observed demand for certified seed in the previous season. This suggests that there are other barriers to adoption than information and awareness.     

互联网使用对农户采纳绿色农业技术的影响研究——基于河北省436个设施蔬菜种植户的调研数据

目的 推广绿色农业技术、强化农业绿色发展的科技支撑是实现农业经济高质量发展的根本要求。方法 文章选择了4项设施蔬菜种植户常用的绿色农业技术（抗病虫抗逆性强的新品种、生物防治、生物农药、水肥一体化）,通过计算互联网使用综合得分,运用有序Probit模型实证分析了互联网使用对农户绿色农业技术采纳强度的影响。进一步,结合工具变量法和条件混合过程估计法（CMP）来克服互联网使用的内生性问题,同时检验了社会网络在互联网影响绿色农业技术采纳过程中的调节效应。结果 互联网使用能够显著提高农户的绿色农业技术采纳强度,互联网使用程度高的农户更倾向于采纳多项绿色农业技术;社会网络在互联网使用影响绿色农业技术采纳行为的过程中具有负向调节作用,在影响农户采纳绿色农业技术的过程中互联网使用能够对社会网络产生替代作用。结论 政府应加快推进农村地区互联网基础设施建设,增加农户使用互联网的可行性和便易性;积极开发公益性的绿色技术知识普及、培训、推广和教学软件,帮助农户认识、接受并采纳绿色农业技术;引导农户使用互联网促进产品销售,实现绿色农产品的优质优价。     

The influence of farm input subsidies on the adoption of natural resource management technologies

Farm input subsidies are often criticised on economic and ecological grounds. The promotion of natural resource management (NRM) technologies is widely seen as more sustainable to increase agricultural productivity and food security. Relatively little is known about how input subsidies affect farmers’ decisions to adopt NRM technologies. There are concerns of incompatibility, because NRM technologies are one strategy to reduce the use of external inputs in intensive production systems. However, in smallholder systems of Africa, where the average use of external inputs is low, there may possibly be interesting complementarities. Here, we analyse the situation of Malawi's Farm Input Subsidy Program (FISP). Using panel data from smallholder farm households, we develop a multivariate probit model and examine how FISP participation affects farmers’ decisions to adopt various NRM technologies, such as intercropping of maize with legumes, use of organic manure, water conservation practices and vegetative strips. As expected, FISP increases the use of inorganic fertilizer and improved maize seeds. Yet, we also observe a positive association between FISP and the adoption of certain NRM technologies. For other NRM technologies, we find no significant effect. We conclude that input subsidies and the promotion of NRM technologies can be compatible strategies.     

基层农技服务供给模式的变迁与小农的技术获取困境

在农业转型的背景下,小农户存在修正既有生产方式和获取日常性生产指导的技术刚需。但基层农技服务供给却呈现了"行政上移与市场主导"的双重特征。农业部门不再建设基层服务力量,县级提供的公益性技术服务以回应国家农业政策导向为核心,而彻底偏离了农民的生产技术需求。以技术为辅助性销售手段的农资经销体系成为了乡村社会的技术主导。这种以"卖货"为核心的技术供给模式,虽然一定程度上拓展了农民的技术服务资源,却加剧了小农户的技术获取困境,并直接影响农民的生产方式:技术服务的极度碎片化使得农民生产过程中技术与技术、技术与实践之间的协调性极差;技术供给内容异化不断提高生产资料成本和生产难度;更为重要的是农资经销体系的转型使得小农户进一步被农技服务市场边缘化。因而,基层农技服务体系迫切需要廓清行政主体和市场主体的功能,并建设有效的乡村服务力量,以保证小农户与农业技术的有效衔接。     

The impact of agricultural and household technologies on women: a conceptual and quantitative analysis in Burkina Faso

Agricultural technologies (new cultivars, inorganic fertilizers, soil-and water-conservation techniques) in Sub-Saharan Africa have been primarily introduced to male farmers by male-dominated extension services on the family plots. These yield-increasing, input-intensive technologies increase the demand for farm labor. So, not only do men obtain most of the direct benefits from the introduction of technology but this labor-intensive technology also increases the demands on women's time for additional labor. This raises the question: Are the combined effects of agricultural technologies beneficial or detrimental to women? We first develop a labor-market model that examines the impact of agricultural and household technologies on labor allocation and income determination within the household. We then discuss the important issue of how household labor-allocation decisions and division of income are made within the family in Sub-Saharan Africa. We use a programming model to estimate the effects of these technologies on household incomes and the income of women. The results indicate that the impact of agricultural technologies depends on the type of decision-making prevailing in the household. In contrast, household technologies increase the welfare of women regardless of the type of decision-making. However, with bargaining behavior, agricultural technologies do benefit women and there is some empirical support for this type of household behavior in Sub-Saharan African households.     

互联网农业信息获取促进了农户土地流转吗

土地流转是规模化经营的重要前提之一。同时,在互联网强国战略背景下,"互联网+土地流转"需要特别关注。为深入研究互联网农业信息获取对农户土地流转的影响,本文运用农户调研数据和计量模型进行了实证研究。研究发现,农户通过互联网获取农业信息显著促进了农村土地流转,而且其对土地转出的影响程度比对土地转入的影响程度更加明显。年龄较大农户的土地流转积极性高,但年龄较大的农户在通过互联网获取农业信息后,流转土地的可能性明显下降。样本替换和模型调整的稳健性检验表明,上述结果非常稳健。因此,本文认为,政府应加强农村互联网建设,鼓励、引导农民使用互联网获取农业信息。     

Yield Effects of Tissue Culture Bananas in Kenya: Accounting for Selection Bias and the Role of Complementary Inputs

We analyse yield effects of tissue culture (TC) banana technology in the Kenyan small farm sector, using recent survey data and an endogenous switching regression approach. TC banana plantlets, which are free from pests and diseases, have been introduced in East Africa since the late 1990s. Although field experiments show significant yield advantages over traditional banana suckers, a rigorous assessment of impacts in farmers’ fields is still outstanding. A comparison of mean yield levels between TC adopters and non‐adopters in our sample shows no significant difference. However, we find evidence of negative selection bias, indicating that farmers with lower than average yields are more likely to adopt TC. Controlling for this bias results in a positive and significant TC net yield gain of 7%. We also find that TC technology is more knowledge intensive and more responsive to irrigation than traditional bananas. Simulations show that improving access to irrigation could lift TC productivity gains to above 20%. The analytical approach developed and applied here and the finding of negative selection bias may also be relevant for the evaluation of other agricultural technologies.     

异质性农技培训主体对农户绿色农业技术采纳行为的影响研究

[目的]推广绿色农业技术是缓解生态环境恶化、保障农业高质量发展的重要途径。[方法]文章利用河北省436户设施蔬菜种植户的调研数据,选择5项绿色农业技术（抗病虫抗逆性强的新品种、生物防治、生物菌肥、生物农药和水肥一体化技术）,基于培训主体异质性视角,运用有序Probit模型实证分析公益性和市场性两种不同性质农技培训主体对农户绿色农业技术采纳强度的影响。进一步,基于技术异质性视角,运用二元Probit模型分析两种不同性质主体对农户不同类型绿色农业技术采纳的影响。[结果]（1）农技培训能够显著促进绿色农业技术采纳,其中公益性主体开展的技术培训对农户绿色技术采纳的促进效果更加显著。（2）针对不同绿色农业技术,不同性质主体开展的培训对技术采纳的促进效果存在差异,对商业化程度较高、有用性、易用性、适用性较高的技术（生物防治、生物菌肥和生物农药）,市场性主体的培训对技术采纳的促进作用更强。（3）对于有用性、易用性和适用性不高的技术（抗病虫抗逆性强的新品种和水肥一体化）,公益性主体的培训对技术采纳的促进作用更强。[结论]应加大农业绿色技术培训的普及力度,构建以公益性农技推广机构为主导,其他市场主体为补...     

The importance of ecological and socio-technological literacy in R&D priority setting: the case of a fruit innovation system in Guinea,West Africa

The introduction of farmer participatory approaches over the past decades has to some extent improved the relevance and uptake of research results. While R&D prioritization increasingly involves more stakeholders, including the private sector, policymakers and civil society, building ecological literacy among all stakeholders is urgent, especially for sustainable agricultural development. A case study of an emerging fruit innovation system in Guinea, West Africa, highlights the challenges of supply- and demand-driven approaches to R&D prioritization. Shallow ecological knowledge and a blind faith in ‘modern’ technologies by scientists and farmers alike distort prioritization. Locally available, appropriate technologies are dismissed in favour of high technologies that are inaccessible to most smallholder growers. Strengthening the ecological literacy of all stakeholders may help to overcome this bias. On the other hand, building socio-technological literacy would allow innovation intermediaries, who typically act as brokers between the demand- and supply-side of technologies, to better understand the social and institutional contexts of technologies and how these affect potential uptake by poor farmers. Member centres of the Consultative Group on International Agricultural Research (CGIAR) could use the notion of ecological and socio-technological literacy to better understand supply and demand of technology and to work more effectively with their partners towards pro-poor and sustainable agricultural development.     

Big is efficient: Evidence from agricultural cooperatives in Ethiopia

In Ethiopia, there is a renewed interest in agricultural cooperatives as an institutional tool to improve the welfare of smallholder farmers. One of the pathways through which cooperatives benefit their members is scale economies. However, the establishment of cooperatives in Ethiopia seems to pay little attention to the size of the organizations. This article aims at investigating the effect of size on cost efficiency of agricultural cooperatives. More specifically, the purpose is to examine whether a single cooperative can serve a given number of farmers at a lower cost than two or more smaller cooperatives could. We employ the concept of cost subadditivity to compare the cost efficiency of large versus small cooperatives, and by extension unilateral actions. We estimate a flexible production technology using cross‐sectional cooperative‐level data. Findings show that costs would drop by 78% to 181% if farmers join hands in relatively large rather than small cooperatives.     

Farming systems and Conservation Agriculture: Technology,structures and agency in Malawi

Conservation Agriculture (CA) is advocated as an agricultural innovation that will improve smallholder famer resilience to future climate change. Under the conditions presented by the El Niño event of 2015/16, the implementation of CA was examined in southern Malawi at household, district and national institutional levels. Agricultural system constraints experienced by farming households are identified, and in response the technologies, structures and agency associated with CA are evaluated. The most significant constraints were linked to household health, with associated labour and monetary impacts, in addition to the availability of external inputs of fertiliser and improved seed varieties. Our findings show that such constraints are not adequately addressed through current agricultural system support structures, with the institutions surrounding CA (in both Government extension services and NGO agricultural projects) focusing attention predominantly at field level practice, rather than on broader system constraints such as education and health support systems. Limited capacity within local institutions undermines long term efforts to implement new technologies such as CA. It is vitally important that the flexibility of farmers to adapt new technologies in a locally-appropriate manner is not closed down through national and institutional aims to build consensus around narrow technical definitions of a climate-smart technology such as CA. To enable farmers to fully utilise CA programmes, interventions must take a more holistic, cross-sectoral approach, understanding and adapting to address locally experienced constraints. Building capacity within households to adopt new agricultural practices is critical, and integrating healthcare support into agricultural policy is a vital step towards increasing smallholder resilience to future climate change.     

A dynamic adoption model with Bayesian learning: an application to U.S. soybean farmers

Adoption of agricultural technology is often sequential, with farmers first adopting a new technology on part of their lands and then adjusting their use of the new technology in later years based on what was learned from the initial partial adoption. Our article explains this experimental behavior by using a dynamic adoption model with Bayesian learning, in which forward‐looking farmers take account of future impacts of their learning from both their own and their neighbors’ experiences with the new technology. We apply the analysis to a panel of U.S. soybean farmers surveyed from 2000 to 2004 to examine their adoption of the genetically modified (GM) seed technology. We compare the results of the forward‐looking model to that of a myopic model, in which farmers maximize current benefits only. Results suggest that the forward‐looking model fits data better than the myopic model does. And potential estimation biases arise when fitting a myopic model to forward‐looking decision makers.     

Peasant farmer behavior and cereal technologies: Stochastic programming analysis in Niger

Peasant farmers in Sahelian West Africa adjust to rainfall uncertainties in the agricultural season by making decisions sequentially as a function of the evolving rainfall patterns. Understanding such flexibilities in farmer decision-making is central to technology introduction. This paper determines how sequential decision-making under weather uncertainty affects the adoption and farm-level effects of cereal technologies in Niger. The study also draws policy implications for a price floor to arrest the substantial fall in cereal prices in good rainfall years when farmers have more grains to sell. The methodology used is Discrete Stochastic Programming. This paper shows that the ability of peasant farmers to adapt cropping and resource-management strategies to the rainfall patterns is the basis for their survival in this high-risk environment. Model results show that by (a) carrying a portfolio mix of varieties of varying maturities, and (b) making sequential decisions based upon rainfall expectations, farmers can adapt to the production uncertainties. Breeding programs should therefore be diversified to develop not only early-maturing cultivars, but also improved intermediate and long-season varieties.     

Farmers’ risk preferences and their climate change adaptation strategies in the Yongqiao District,China

Farmers’ risk preferences play an important role in agricultural production decisions. This study characterizes risk preferences among farmers in Yongqiao and determines how these risk preferences are related to their choices regarding climate change adaptation strategies. We find that most farmers in the study area were aware of climate change. They were taking measures to protect their livelihoods against perceived changes to the local climate. The risk experiment result shows that the representative subject was risk averse, and women were more risk averse than men. The relationships between farmers’ risk preferences and different climate change adaptation choices were different. Farmers’ risk aversion was negatively and significantly related with adaptation strategies on planting new crop varieties and adopting new technology, but it had a significantly positive effect on purchasing weather index crop insurance. The results also indicate that the level of education, farming experience, farm size, household income and perception of climate change impacts influence farmers’ adaptation decisions.     

农业社会化服务能促进农户采用亲环境农业技术吗

使用亲环境农业技术是治理农业面源污染、改善耕地质量和提升农业绿色发展程度的重要举措。本文基于农业社会化服务视角,采用农户微观调查数据,利用倾向得分匹配法和mvprobit方法,定量测度了农户购买不同环节的农业社会化服务对其亲环境农业技术采用的影响效应。研究结果表明,农户购买农业社会化服务对其采用亲环境农业技术具有显著促进作用。然而,不同环节的农业社会化服务对其采用的影响差异较大,购买施肥和施药等社会化服务能显著促进农户采用施肥技术和病虫害专业化统防统治,而整地、插秧和收割等机械化服务的影响并不显著。随耕地经营规模扩大,农户购买插秧、整地、收割、施药和施肥等社会化服务和其采用亲环境农业技术的可能性均不断提高。未来中国应进一步推动规模经营和农业社会化服务组织发展,强化农业社会化服务组织在施肥施药环节的作用,并对不同环节的社会化服务区别对待,规范其行为,降低农业社会化服务组织的不确定性,防范服务风险,更好发挥农业社会化服务对提高农业绿色发展程度的带动作用。     

Values,trust, and management in New Zealand agriculture

This study provides empirical evidence of the link between outlook and practice among farmers, foresters, and growers in New Zealand. Specifically, we use a large, nationally representative survey to assess how foci on production and environmental outcomes influence the adoption of six good management practices aimed at increasing agricultural sustainability. We then show that while environmentally oriented and production-oriented decision-makers are statistically more prepared to take risks, all rural decision-makers are more likely to adopt new technologies and good practices after seeing their relative advantages successfully demonstrated. Next, we show that social and professional networks are small, often limited to five or fewer operators, which begs the question about how the risk-averse operators become informed about good practice. Hence, we ultimately analyse trust in order to identify other credible demonstrators or informants. We find that veterinarians are the most trusted source of information and that government (at all levels) is the least.     

农业用水非农化对农户粮食生产用水行为的影响基于山东省728份农户调查数据

目的 农户作为微观经营主体,其节水技术的采用将提高粮食生产用水效率,达到节约水资源与保证粮食生产的双重目的。通过分析农户粮食生产用水行为,探讨水资源短缺约束对农户粮食生产技术采用的诱致效应。方法 文章基于2019年对山东省728份农户的调查问卷数据,以农户行为理论为基础,综合运用统计分析、Logit模型等方法,对农业用水非农化约束下农户的粮食生产用水行为进行分析。结果 在农业用水非农化态势下,作为理性经济人的农户倾向于采用节水技术,以保证粮食生产。农户年龄、家庭农业劳动力人数、灌溉水源与灌溉方式对其节水技术的采用影响显著为负,农业年收入、小麦及玉米种植面积对农户节水技术的采纳行为影响显著为正。结论 规模化经营是大型节水设施应用的基本条件,应当加快农地流转,推进粮食生产规模化经营,提高粮食灌溉的规模化和标准化水平;同时加快建立科学合理的农业水价改革制度,促进农民节约农业用水,以此实现水资源利用效率提高与粮食生产能力稳定的双重目标。     

Adoption of New Technologies in Ethiopian Agriculture: The Case of Tegulet-Bulga District,Shoa Province

Adoption of agricultural production technologies in developing countries is influenced by a wide range of economic and social factors as well as physical and technical aspects of farming and the risk attitude of farmers. It is important to understand the role of these factors to ensure the development of appropriate technologies and the design of successful development projects. This study examines the impact of such factors on the adoption of single-ox, fertilizer and pesticide technologies as part of a post-drought recovery project in Tegulet-Bulga district in Ethiopia. Models to evaluate the probability of adoption are specified for the respective technologies and are estimated using a logit maximum likelihood procedure, results indicate that the most significant variable affecting the probability of adoption of all three technologies is farm size; the impact is negative for single-ox technology and positive for fertilizer and pesticide use. Economic factors such as income, wealth and debt generally exhibit statistically significant influence on the adoption of single-ox and pesticide technologies as do family size, access to outside information, education and experience. The effect of socio-economic factors on adoption of fertilizer and pesticide technologies is greater in the area which has more access to outside information and off-farm activities (Ankober) than in more ‘self-contained’ area (Seladengay). The impact of the degree of risk aversion of farmers is found to be significant and negative for single-ox technology in both areas, and for fertilizer and pesticide technologies in only one area. The predicted probabilities of technology adoption by an average farmer are found to increase dramatically with the level of education and access or exposure to outside information.     

Farmers,institutions and technology in agricultural change processes: outcomes from Adaptive Research on rice production in Sulawesi,Indonesia

International agricultural research centres use approaches which aim to create effective linkages between the practices of farmers, introduced technologies and the wider environment that affects farming. This paper argues that such new approaches require a different type of monitoring as a complement to conventional approaches that tend to favour a quantitative assessment of adoption and impact at the farm level. In this context, we examined monitoring data from an Adaptive Research (AR) project highlighting complementary qualitative analysis. Our emphasis is to capture the improvisational capacities of farmers and to reveal social and institutional constraints and opportunities in a broader innovation system. Our approach provided clear insights into how rice farmers adjusted their practices and how actors involved linked (or not) with others in the innovation system. We also demonstrated how institutions such as policies, religious rituals or service provider arrangements pose conditions that establish or constrain practices aligned with introduced technologies. A broader perspective in monitoring AR therefore provides important additional insights into the factors which shape outcomes in farming communities. To expand outcomes, AR projects should also pay attention to designing and testing new institutional arrangements that create enabling conditions for agricultural innovation.