When my neighbors matter: Spillover effects in the adoption of large-scale pesticide-free wheat production

We investigate the spillover effects in farmers’ adoption decisions of a novel pesticide-free wheat production system. To this end, we exploit the variability and asymmetry in the social ties among neighboring farmers. We find evidence of spillover effects in farmers’ adoption decisions as well as in farm and farmer characteristics. Our results further highlight the importance of accounting for potentially heterogeneous social ties in farmer networks beyond pure measures of spatial proximity: spillover effects are only robust once we account for the strength of social ties through farmers’ stated tendency to consult peers on agricultural decisions. Our findings highlight the relevance of peer influence in the diffusion of sustainable agriculture practices even in contexts of well-functioned institutions and high interest in environmental protection such as European agriculture. We discuss implications for the design of policies and programs for sustainable agriculture, which are currently in the center of attention in agricultural policymaking.     

Access to credit and heterogeneous effects on agricultural technology adoption: Evidence from large rural surveys in Ethiopia

Modern agricultural technologies hold huge potential for increasing productivity and reducing poverty in developing countries. However, adoption levels of these technologies have remained disappointingly low in Africa. This paper analyzes the effect of access to credit on the likelihood of adoption and use intensity of chemical fertilizers using data from large rural surveys in Ethiopia. Using a heteroscedasticity-based identification strategy to address the endogenous nature of access to credit, we find that access to credit has significant positive effects on adoption and intensity of use of chemical fertilizers. However, important heterogeneities are observed. Credit obtained from formal sources is more important for the intensity of use than for the decision to adopt chemical fertilizers. Credit taken with the primary purpose of financing agricultural inputs is more likely to promote adoption of chemical fertilizers than credit taken per se. Furthermore, reported credit effects are larger when estimated against the sample of credit-constrained non-users as compared with the pool of the whole sample of credit non-users. The results remain robust to several sensitivity analyses. Our results yield useful implications for the design, promotion, and targeting of credit services to leverage their effect on adoption of agricultural technologies.     

Analyzing technology adoption using microstudies: limitations, challenges, and opportunities for improvement

Policy makers and interest groups have many questions about the use of improved technologies in developing country agriculture. These include the roles of policies, institutions, and infrastructure in the adoption of improved technologies and their impact on productivity and welfare. Most micro‐level adoption studies, however, cannot address these important policy issues. Drawing on an extensive review of the literature on the adoption of agricultural technologies, this article suggests alternative approaches for designing technology adoption studies to make them useful for policy makers. It explores the generic limitations of cross‐sectional adoption studies carried out in small numbers of communities and discusses some problems faced in conducting such studies. Recommendations include the use of sampling approaches that allow data from microstudies to be generalized to higher levels of aggregation, adherence to clearly defined terms that are standardized across studies, and careful examination of the assumptions that often underlie such studies.     

Social capital,risk preference and adoption of improved farm land management practices in Ethiopia

Many developing countries grapple with high rates of farmland degradation and low agricultural productivity amidst increasing climate variability. Considerable efforts have been exerted to promote the diffusion of improved farmland management to address these challenges. Despite these efforts, adoption rates, especially of soil conservation and water harvesting technologies, are still low, which has been the subject of investigation in several studies in Ethiopia and elsewhere. Most studies on the adoption of these technologies, however, tend to focus on economic incentives only, paying little attention to the role of social capital. This article provides evidence of the effects of different dimensions of social capital on innovation adoption across households holding different levels of risk aversion. We address this issue by using cross section and panel data from Ethiopia. Results show that social capital plays a significant role in enhancing the adoption of improved farmland management practices. We also find evidence that the effect of social capital across households with heterogeneous risk taking behavior is different.     

Gender and the dynamics of technology adoption: Empirical evidence from a household-level panel data

Very few empirical studies account for the dynamic nature of the agricultural technology adoption decision and none of these explores if this dynamic nature depends on the gender of the decision maker. Using four waves of a household-level Ugandan panel data, this is the first empirical analysis to account for self-learning (one's own adoption experience) in explaining current adoption decision in a developing country context, and the first to study the interaction between self-learning and gender. Technology adoption is defined as adoption of hybrid seed, inorganic fertilizer, or pesticides. Our results indicate that the dynamic panel data Probit model is superior to its static counterpart in the sense that self-learning, captured by lagged technology adoption indicators, is by far the most important determinant of technology adoption. We also find a weaker impact of self-learning for female-headed households than male-headed households. Female-headed households face fewer learning opportunities, which produce a lower self-learning impact in later periods, further exacerbating the gap in technology adoption among male- and female-headed households.     

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.     

Heterogeneous information exposure and technology adoption: the case of tissue culture bananas in Kenya

Classical innovation adoption models implicitly assume homogenous information flow across farmers, which is often not realistic. As a result, selection bias in adoption parameters may occur. We focus on tissue culture (TC) banana technology that was introduced in Kenya more than 10 years ago. Up till now, adoption rates have remained relatively low. We employ the average treatment effects approach to account for selection bias and extend it by explicitly differentiating between awareness exposure (having heard of a technology) and knowledge exposure (understanding the attributes of a technology). Using a sample of Kenyan banana farmers, we find that estimated adoption parameters differ little when comparing the classical adoption model with one that corrects for heterogeneous awareness exposure. However, parameters differ considerably when accounting for heterogeneous knowledge exposure. This is plausible: while many farmers have heard about TC technology, its successful use requires notable changes in cultivation practices, and proper understanding is not yet very widespread. These results are also important for other technologies that are knowledge‐intensive and require considerable adjustments in traditional practices.     

农业科技创新对农业绿色全要素生产率的空间效应分析

文章通过数据包络模型测算2013-2018年我国31个省的农业绿色全要素生产率,剖析其时空分布演进特征,在测算结果基础上构建空间杜宾模型,探讨农业科技创新对农业绿色全要素生产率的空间溢出效应。研究发现:2013-2018年全国农业绿色全要素生产率空间分异与集聚特征明显;本省农业科技创新显著促进了农业绿色全要素生产率的提升,而其辐射作用阻碍了周边省的农业绿色全要素生产率的提高。研究结果对于深化完善农业科技创新机制、提升农业科技教育水平、创新农业科技推广模式具有现实意义。     

The role of knowledge,attitudes and perceptions in the uptake of agricultural and agroforestry innovations among smallholder farmers in sub-Saharan Africa

Despite the great potential of agricultural innovations, the uptake by smallholder farmers in sub-Saharan Africa seems to be slow. We reviewed existing theories and frameworks for the uptake of agricultural innovations and found that these tend to emphasize the role of extrinsic factors such as the characteristics of the adopter and the external environment in the decision-making process. In this paper, we argue that intrinsic factors such as the knowledge, perceptions and attitudes of the potential adopter towards the innovation play a key role, but this has been less studied. We present an analytical framework that combines both extrinsic and intrinsic factors in farmers' decisions to adopt new agricultural technologies and apply the framework to agroforestry adoption as a case study. We review the literature on agroforestry adoption in sub-Saharan Africa and identify the extrinsic and intrinsic variables affecting the uptake of agroforestry technologies. We conclude that the uptake of agricultural technologies is a complex process influenced by both extrinsic and intrinsic variables, and recommend that future studies aiming to understand the adoption process of agricultural innovations take into account both sets of variables. A mechanistic understanding of how intrinsic and extrinsic factors interact and drive adoption can help in targeting technologies appropriately to ensure sustainability.     

Impact of agricultural innovation adoption: a meta‐analysis

The impacts of adopting agricultural innovation and technology are widely examined. This paper synthesises 154 studies, which yielded a total of 600 estimates of the impact of adopting agricultural innovation and technology on production, social and economic outcomes. Using meta‐regression analysis, the empirical results show that the reported impact of adopting agricultural innovation and technology rises significantly over time, notwithstanding a significant publication bias. Whether studies find significant impacts of adopting agricultural innovation and technology depends on the use of experimental research designs, parametric method, endogenous switching regression and region. Our results show a large bias in the literature towards agricultural innovations and technologies that focus on high‐yielding varieties and thus, neglect other forms of complementary innovations and technologies.     

设施蔬菜绿色生产技术采纳影响因素与经济效益研究——以河北省定兴县为例

[目的]农业资源环境是农业产品质量保障的基础,农业科技创新有力支撑农业产业发展,探究农业绿色生产技术的影响因素与经济效益,对保障农业产业绿色发展,提高农户绿色生产积极性具有重要意义。[方法]文章基于2020年河北省定兴县实地调研所得的219份农户数据,通过二元Logistic模型分析农户采纳绿色生产技术的影响因素,在此基础上运用倾向得分匹配方法研究技术采纳对农户家庭经济效益的作用水平。[结果]（1）虽然定兴县绿色生产技术推广取得一定成效,共有67.58%的农户采纳一种或多种绿色生产技术,但采纳程度有待提高。（2）农户的年龄、受教育程度、大棚类型、是否加入合作社、是否接受技术培训以及政府是否给予指导显著影响农户技术采纳决策。（3）采纳绿色生产技术的农户与未采纳组相比每公顷年均收入增加28.44%;测土配方技术、病虫害绿色防控技术分别带来26.52%和14.90%的增收效应,并分别在1%和5%的水平上显著,节水灌溉技术和废弃物循环利用技术增收效果不显著。[结论]绿色生产技术能显著提高农户收入,因此政府要加强对绿色生产技术的推广,通过技术培训、经济激励、构建技术推广体系等措施提高农户绿色生产...     

Issues in benefit-cost analysis of agricultural research projects

Use of benefit-cost analysis for economic comparison of agricultural research projects remains confounded, inter alia , by lack of rigour in specifying the without-project scenario and how benefits from an innovation endure after its adoption declines. Failure to account for the without-project scenario favours projects to the extent that more benefits are foregone than costs avoided. Moreover, it is unreasonable to assume generally that aggregate benefits from an innovation continue at the peak level until the end of a 30–40 year planning horizon. A general BCA model for agricultural research projects is presented to enable flexible handling of these issues.     

Exploring the adoption of precision agricultural technologies: A cross regional study of EU farmers

Precision agricultural technologies (PATs) allow more detailed management of in-field variability. Policy and advisory communities have championed PATs as a route to preserving natural capital whilst increasing productivity from agricultural land. A range of PATs are currently available for the agricultural producer but uptake varies by the type of technology and region. Whereas most studies on uptake have focused on US or Australia we empirically examine uptake of machine guidance (MG) and variable rate nitrogen technologies (VRNT) within European farming systems. Using primary information from 971 arable crop growers across five countries: Belgium, Germany, Greece, the Netherlands and the UK, a multilevel random intercept regression estimated a) the differences between adoption and non-adoption and b) the differences between VRNT and MG adoption. We find, aside from size and income differences, which reflect the economic cost barrier to adoption, an attitudinal difference, in terms of optimism towards the technology’s economic return leading to more probability of uptake. Moreover innovative and information seeking behaviour also proved significant when upgrading from machine guidance to variable rate technologies. Subsidy and taxation were considered positive drivers of uptake within the community. However, results suggest that more indirect interventions, such as informational support to counteract industry bias, and demonstration to prove the viability of economic return may be effective at meeting land manager and policy expectations towards PATs.     

Agricultural technology and land use futures: The UK case

This paper explores how agricultural technology has interacted with recent land use in the UK and how it might do so in the next 50 years. From 1960 to 1985, farmers successfully used technology to increase the output of crop and animal products per unit of land and particularly of labour. This reduced the number of people employed in agriculture, and promoted larger and more specialised farm enterprises. Between 1985 and 2006, food prices were relatively low, and although labour productivity continued to increase, land productivity remained relatively static. However during this period, farmers started to address the effects of agriculture on reduced water quality and habitat loss.For established agricultural products, technological innovation tends to have an incremental effect, working through genetic improvement, the removal of abiotic and biotic stress (e.g. crop nutrition and protection, irrigation and drainage, and animal nutrition, health and housing) and the substitution of labour. Whereas the first two processes tend to be scale-neutral, the substitution of labour is usually easiest to achieve on larger farms. Other key areas for technological innovation include addressing air, soil and water quality, biodiversity, waste reduction, and information management. Over the next 50 years, large step-changes in land use arising from agricultural technology are predicted to arise from the development of new markets for agricultural products. A strong bioenergy sector will strengthen the links between crop commodity and energy prices and will have a major effect on future land use. Climate change and the regulation of greenhouse gas emissions will alter the relative profitability of crop and animal production systems. Lastly, increased public awareness of the links between food, health and the environment could substantially shift the demand for specific agricultural products.Continual improvements in agricultural technology are pivotal to providing society with the flexibility to balance the challenges of improving human well-being with the management of the planet's ecosystem. Increased technological innovation increases the probability that agricultural land can be used for other purposes, but the exact relationship is dependent on trade and environmental policies. The large external effects of agriculture mean that decisions regarding the adoption of future technologies should be taken by farmers working with other stakeholders.     

The impact of marketing systems on soil sustainability of agriculture in developing countries: a method and an application

This article is concerned with soil‐sustainability problems of agriculture in developing countries, in particular with soil erosion. The aim of our study is to develop a comprehensive model that explains the adoption of sustainable agricultural practices with respect to soil conservation. Our approach includes the following special features: (a) the model is comprehensive in that it includes a large number of institutional, personal–social, economic, and physical explanatory variables; (b) particular attention is paid to the influence of marketing systems on the adoption of sustainable agricultural practices, which to our knowledge has been neglected in past research; (c) the concept of adopting sustainable agricultural practices (ASAP) is differentiated into a limited number of basic components of soil conservation; and (d) the model is estimated by Principal Component Regression, which enhances efficient estimation of the impact of many explanatory variables on ASAP. Our model is applied to Cabuyal hillside farming in Colombia. The application demonstrates the usefulness of the proposed model. ASAP is differentiated into three basic components: soil‐disturbance control, soil‐protection practices, and run‐off control. It appears that soil‐disturbance control is particularly influenced by farmers' characteristics, such as education and managerial variables. The second component, soil‐protection practices, appears to be strongly influenced not only by farmers' managerial variables but also by their relationship with their environment, in particular marketing institutions. The third soil‐conservation component, run‐off control, is influenced by the physical characteristics of the plot and by the available farm labor. Our empirical results demonstrate the usefulness of the proposed model in designing agricultural policies, because it can determine which variables are more likely to influence the adoption of a specific type of soil conservation.     

Socio-Technical Scenarios as a Tool to Improve Farm Advisory Services

This article examines the use of the socio-technical scenarios (STSc) method to explore the future needs of farmers in the adoption of more sustainable farming practices. It also examines the changes needed for advisory services to meet those identified needs. It presents the results from four STSc workshops organised as part of the H2020 AgriLink project. Workshop participants (farmers, advisors, policymakers, researchers), jointly explored future changes towards more sustainable agricultural systems paying special attention to the role of advisory services in these transitions. Despite the diversity of national contexts, common results emerged concerning both the shortcomings of the current advisory systems and directions for improvement. Participants agreed that advising on single aspects would not achieve the required systemic changes; these would require more integrated advisory systems at different levels (improved cooperation and knowledge flow), supported by more consistent policies. We indeed identified discrepancies between policy expectations and the broader innovation context. Policies should facilitate the role of advisors in supporting farmers to adopt sustainable innovations, but more often they also create barriers for such innovations. Participants’ concrete recommendations for more farmer-centered advisory services illustrate the usefulness of the STSc to explore potential solutions to key problems in contemporary farm advisory systems.     

Productivity and Land Enhancing Technologies in Northern Ethiopia: Health, Public Investments, and Sequential Adoption

The adoption of more efficient farming practices and technologies that enhance agricultural productivity and improve environmental sustainability is instrumental for achieving economic growth, food security, and poverty alleviation in sub-Saharan Africa. Our research examines the interaction between public investments, community health, and adoption of productivity and land enhancing technologies by households in the northern Ethiopian state of Tigray. Agricultural technology adoption decisions are modeled as a sequential process where the timing of choices can matter. We find that time spent sick and opportunity costs of caring for sick family members are significant factors in adoption. Sickness, through its impact on household income and labor allocation decisions for healthcare and other activities, significantly reduces the likelihood of technology adoption. Our findings suggest that agencies working to improve agricultural productivity and land resource conservation should consider not only the financial status of potential adopters, but also their related health situation.     

Variety characteristics and maize adoption in Honduras

This paper summarises research into factors contributing to low levels of adoption of improved maize varieties in Honduras. Empirical analysis was based on an agricultural household model which explicitly incorporates variety characteristics into the household's optimisation process. We considered a multitude of production and consumption characteristics valued by farmers, as well as an array of household socioeconomic characteristics and measures of village‐specific marketing costs. Empirical results indicated that marketing costs and production characteristics are important explanators of variety choice, whereas consumption characteristics are not, and that information deficits may be an important limiting factor to adoption of improved varieties.     

One size does not fit all: Heterogeneous economic impact of integrated pest management practices for mango fruit flies in Kenya—a machine learning approach

Most previous studies evaluating agricultural technology adoption focus on estimating homogeneous average treatment effects across technology adopters. Understanding the heterogeneous effects and drivers of impact heterogeneity should enable interventions to be better targeted to maximise benefits. We apply machine learning using data from a randomised controlled trial to estimate the heterogeneous treatment effect of fruit fly IPM practices (i.e., parasitoids, orchard sanitation, use of food bait, biopesticides, male annihilation technique, and their combinations) in Central Kenya. Results suggest significant heterogeneity in the effect of IPM practices conditioned on household characteristics. The most important covariates explaining differences in treatment effects are wealth, distance to the mango fruit market, age of the household head, labour and experience in mango farming. Results further indicate that those with fewer mango trees benefit more from most IPM practices. Additional analysis across other covariates shows mixed results but generally suggests significant differences between households benefiting the most and those benefiting the least from IPM practices.     

人格特质对茶农有机茶技术采纳的影响

根据福建省安溪县656份的问卷调查数据,基于大五人格特质理论,运用结构方程模型分析人格特质对茶农的有机茶技术采纳行为的影响。结果表明:安溪县茶农的经营特征与其所处的技术环境对有机茶技术采纳行为不存在显著直接效应,但都通过技术采纳态度对技术采纳的行为产生正向影响作用,其中有机茶技术采纳态度起完全中介作用;人格特质对有机茶技术采纳行为既存在直接正向预测作用,又通过有机茶技术采纳态度对技术采纳行为产生间接正向预测作用,并且间接效应大于直接效应,起中介变量的作用。因此,运用人格测评工具来发挥技术采纳者的性格优势在技术采纳过程中的作用,释放有机茶技术的生态溢出效应,将为有机茶技术推广研究提供新思路。