Inducing the adoption of emerging technologies for sustainable intensification of food and renewable energy production: insights from applied economics*

Emerging advances in sustainable intensification technologies have the potential to transform land use and crop management approaches in ways that can increase resource productivity and reduce adverse environmental impacts of agricultural production. This paper describes emerging technologies that can sustainably intensify food and renewable energy production. We apply the findings from studies examining the adoption of technologies with similar stylized features to provide insights about the incentives and barriers for the adoption of these emerging technologies. We also present a landscape-based systems approach, based on welfare economics, to go beyond relying on a positive approach to explain observed adoption decisions to examining normative questions about the optimal mix, level, and location of adoption of these technologies to achieve desired societal outcomes. We conclude with a discussion of the insights from applied economics for the design of policy incentives to achieve these outcomes.     

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.     

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.     

Government Expenditures,Health Outcomes and Marginal Productivity of Agricultural Inputs: The Case of Tanzania

This paper examines the impact of health expenditures on agricultural labour productivity in order to inform the necessary policy decisions about targeting scarce public resources towards their most effective uses. We link health sector expenditures in rural Tanzania to health outcomes and agricultural labour productivity using data from the 2008 Household Budget Survey (10,975 households) and the 2007/08 Agricultural Census (52,594 households) across 113 districts in Tanzania. The results indicate that the marginal productivity of labour as well as land and fertilisers respond significantly to health expenditures. However, the magnitude of the response varies across types of disease, categories of expenditures and agricultural inputs. These findings suggest both the need and scope for targeting public expenditures in the health sector to achieve better agricultural growth outcomes.     

Measuring Farm and Market Level Economic Impacts of Improved Maize Production Technologies in Ethiopia: Evidence from Panel Data

While it is often recognised that agricultural technology adoption decisions are intertwined and best characterised by multivariate models, typical approaches to examining adoption and impacts of agricultural technology have focused on single technology adoption choice and ignored interdependence among technologies. We examine farm‐ and market‐level impacts of multiple technology adoption choices using comprehensive household survey data collected in 2010/11 and 2012/13 in Ethiopia. Economic surplus analysis combined with panel data switching endogenous regression models are used to compute the supply shift parameter (K‐shift parameter), while at the same time controlling for the endogeneity inherent in agricultural technology adoption among farmers. We find that our improved technology set choices have significant impacts on farm‐level maize yield and maize production costs, where the greatest effect appears to be generated when various technologies are combined. The change in maize yield and production costs results in an average 26.4% cost reduction per kilogram of maize output (the K‐shift parameter). This increases the producer and consumer surpluses by US$ 140 and US$ 105 million per annum, respectively. These changes in economic surplus help to reduce the number of poor people by an estimated 788 thousand per year. We conclude that deliberate extension efforts and other policies that encourage integration of technologies are important for maize technologies to yield their full potential at both farm and market levels.     

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...     

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.     

Economics of erosion-control and seed-fertilizer technologies for hillside farming in Honduras

With population growth still at very high rates and large-scale commercial farmers and cattle ranchers owning much of the more fertile valley land, small-scale farmers are concentrated on increasingly marginal, steeply sloping hillsides in Central America. The continuing soil erosion and land degradation in these low-input staple crop production hillside farming systems lead many to be pessimistic about increasing the agricultural incomes of these farmers. However, this study shows that the appropriate combination of improved technologies and agricultural policy or alternative production diversification strategies can improve the incomes of small-scale hillside farmers in southern Honduras by over 50%. The technology components considered are stone walls and ditches combined with living tree barriers to prevent erosion of the hillsides, and a package of improved sorghum seed, seed treatment, and modest doses of nitrogenous fertilizer. A whole-farm mathematical programming framework is used to determine the potential farm-level income effects of the soil-conservation and seed-fertilizer technologies. The main conclusion is that erosion-control devices and yield-increasing crop varieties and fertilizer are an effective technology introduction strategy for the erosion-prone hillside landholdings found in many areas of Central America. If policy actions or diversification strategies for disposal of surplus grain are found which are effective in reducing the risk of low income from cereal price reductions in high-production years, adoption of the improved technologies is shown to be profitable for small-scale farmers. Another benefit not explicitly considered would be to slow the very rapid growth of urban poverty in these countries. Sensitivity analysis results indicated that neither risk aversion nor the increased availability of crop land or initial cash have any substantial effects on the predicted adoption level of the improved technologies, or on their income impacts for these farmers.     

Adoption and impacts of sustainable intensification practices in Ghana

Sustainable agricultural intensification requires the use of multiple agricultural technologies in an integrated manner to enhance productivity while conserving the natural resource base. This study analyses the adoption and impacts of sustainable intensification practices (SIPs) using a dataset from Ghana. A multivariate probit (MVP) model was estimated to assess the adoption of multiple SIPs. Moreover, we used a multivalued semi-parametric treatment effect (MVTE) model to estimate the effects of adopting multiple SIPs on maize productivity. The MVP model results show, among others, that access to market, capital, and information/knowledge would enhance the adoption of SIPs. The MVTE model results show that a higher number of SIPs is associated with higher productivity which is more visible when commercial inputs are used in combination with cultural practices. These results have the following policy implications. First, they imply that good rural infrastructure and agricultural services such as rural road network, village-level input delivery system, input credit, and multiple information/knowledge sharing approach (instead of the conventional singular formal information/knowledge sharing approach) can enhance adoption. Second, the results suggest that promoting an integrated use of technologies, instead of a single technology, would have a positive impact on farm productivity and farm household income.     

Adoption and welfare impacts of multiple agricultural technologies: evidence from eastern Zambia

Using plot level panel data and multinomial endogenous switching regression, this article analyzes the adoption and welfare impacts of multiple agricultural technologies in eastern Zambia. We adapt a multinomial endogenous switching/treatment effect regression framework to correct for selection bias and endogeneity originating from both observed and unobserved heterogeneity. Results indicate that joint adoption of multiple agricultural technologies had greater impacts on crop yields, household incomes, and poverty than the adoption of individual components of the technology package. Our findings suggest that efforts aimed at raising household incomes and reducing poverty should focus on promoting the adoption of multiple agricultural technologies through provision of improved support services such as extension and input supply.     

农机社会化服务对农业劳动生产率的影响研究

[目的]农业劳动生产率的提高是中国农业现代化的重要特征,进一步探讨农机社会化服务对农业劳动生产率的作用效果具有现实意义。[方法]文章基于2019年全国13省份玉米种植户调查数据,采用OLS回归模型与倾向得分匹配法,分析了农机社会化服务对农业劳动生产率的影响效应,探讨影响效应在不同地形条件、兼业程度的组群差异,并考察了不同环节农机社会化服务对农业劳动生产率的影响差异。[结果]（1）农机社会化服务正向显著影响农业劳动生产率,采纳农机社会化服务会促使农户农业劳动生产率显著提高18.8%。但农户采纳农机社会化服务的作用效果具有环节异质性。采纳耕整地、播种、灌溉排水和收获环节农机社会化服务会促使农户农业劳动生产率分别显著提高21.2%、17.4%、22.9%和18.3%;(2)而农户采纳植保环节农机社会化服务对农业劳动生产率并不具有显著影响。农户采纳农机社会化服务对劳动生产率的影响效应还存在禀赋差异,平地农户采纳农机社会化服务使其农业劳动生产率显著提高21.9%,而坡地山地农户采纳农机社会化服务对农业劳动生产率没有表现出显著的影响。（3）纯农业户与兼业农户采纳农机社会化服务都会对农业劳动生产率产...     

Adoption of Multiple Sustainable Agricultural Practices in Rural Ethiopia

The adoption and diffusion of sustainable agricultural practices (SAPs) has become an important issue in the development‐policy agenda for sub‐Saharan Africa, especially as a way to tackle land degradation, low agricultural productivity and poverty. However, the adoption rates of SAPs remain below expected levels. This study analyses the factors that facilitate or impede the probability and level of adoption of interrelated SAPs, using recent data from multiple plot‐level observations in rural Ethiopia. Multivariate and ordered probit models are applied to the modelling of adoption decisions by farm households facing multiple SAPs, which can be adopted in various combinations. The results show that there is a significant correlation between SAPs, suggesting that adoptions of SAPs are interrelated. The analysis further shows that both the probability and the extent of adoption of SAPs are influenced by many factors: a household’s trust in government support, credit constraints, spouse education, rainfall and plot‐level disturbances, household wealth, social capital and networks, labour availability, plot and market access. These results imply that policy‐makers and development practitioners should seek to strengthen local institutions and service providers, maintain or increase household asset bases and establish and strengthen social protection schemes in order to improve the adoption of SAPs.     

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.     

Technology adoption,impact, and extension in developing countries’ agriculture: A review of the recent literature

Given the stagnant agricultural productivity and persistent food insecurity in low-income countries—notably in sub-Saharan Africa (SSA)—there has been continued interest in the adoption of new technology and its impact on productivity in these regions. To increase crop yields and sustain yield gains, recent case studies of technology adoption unanimously recommend the adoption of integrated farm management systems, particularly in SSA. On the other hand, there have been increasing numbers of studies on social network or farmer-to-farmer technology extension. These studies explore more efficient extension systems than traditional public-sector extension approaches. This article reviews both recent case studies of technology adoption and its productivity impacts as well as studies on agricultural extension to identify common findings, shortcomings, and major remaining issues.     

The distribution of returns from land efficiency improvement in multistage production systems

This paper assesses the distributional consequences of technical changes that improve the efficiency of land and of other inputs in a multifactor crop‐production system. We introduced an equilibrium displacement model (EDM) by using the specification of a factor‐augmenting approach. Given the uncertainty about the EDM parameters, a Monte Carlo simulation is used to produce a distribution of possible return measures. We found that land suppliers (likely farmers) receive a larger share (73%) of total benefits from the adoption of land‐technical change than they do from the adoption of other input technologies. Each input supplier receives a larger share of total benefits from technical change in her own input. However, this result is sensitive to the value of the parameters, especially the value of the elasticity of substitution. We applied the EDM to the case of no‐tillage (NT) to provide insight into how the aggregate return from the adoption of NT was distributed among different groups on the Canadian Prairies. The results of this study can be used by policymakers and funding agencies in order to influence landowners and farming communities to adopt environmentally sound land technologies to achieve both greater agricultural productivity and sustainability.     

Innovation context and technology traits explain heterogeneity across studies of agricultural technology adoption: A meta-analysis

Despite a wealth of case-specific insights from agricultural adoption studies, we lack systematic evidence on which technology characteristics matter for adoption across different innovation contexts. We synthesise the results of 304 quantitative farm-level adoption studies for a wide range of agricultural innovations across more than 60 countries using multi-level meta regression. Our results show that land, capital and knowhow are generally more important when an innovation uses the respective factor intensively, but this effect is reduced in contexts where the factor is abundant. Our findings have implications for the design of rural development and agricultural extension programmes. Both should consider the interplay of geographic context and innovation characteristics to develop more effective sustainable intensification strategies.     

Climate-resilient practices and welfare impacts on rice-cultivating households in Vietnam: Does joint adoption of multiple practices matter?

Farmers have a long history of adjusting their production practices in response to changing production conditions. Using a multinomial endogenous treatment effects model that accounts for observable and unobservable heterogeneity, this study investigates the adoption and welfare impacts of climate-resilient practices on Vietnamese rice-cultivating households. We found evidence of clear and positive welfare impacts from the adoption of canal irrigation (CI) and the joint adoption of agricultural conservation practices (CP) and CI as the main adaptation strategies to increase water stress. More importantly, although farmers with access to CI systems obtained the highest returns, the joint adoption of multiple practices still had substantially high adoption rates and significantly positive effects on rice yield, rice revenue and household income. Our findings indicate that farms' and farmers' characteristics, market information and climatic conditions are generally the main factors driving rice farmers' decisions to adopt climate-resilient technologies, both individually and jointly. Follow-up policy interventions should focus on improving CI systems and promoting the joint adoption of climate-resilient technologies to improve rice farmers' well-being and enhance their resilience capacity to cope with incoming climatic uncertainty.     

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。     

LABOUR INPUT DECISIONS OF SUBSISTENCE FARM HOUSEHOLDS IN SOUTHERN MALAWI

The objective of the paper is the presentation of a farm-household model which allows an analysis of labour input decisions of rural households in an environment with risky agricultural technologies and off-farm employment opportunities. Labour input decisions are condensed into a stochastic linear programming framework, and applied to a typical rural household in Southern Malawi. Weak adoption of yield-increasing technologies is explained by different opportunity costs of time of family members and by the risky nature of income generated using traditional or yield-increasing agricultural technologies. The view that land-saving innovations will increase agricultural production is revised. Special extension programmes for family members with low off-farm employment opportunities are proposed to increase the adoption of those technologies. These programmes have the purpose of reducing anticipated subjective income deviations for yield-increasing innovations.     

Policy, technology, and management strategies for achieving sustainable agricultural intensification

Considerable agreement exists among researchers, development practitioners, and policymakers regarding the goals of sustainable agricultural intensification (SAI). They include: achieving agricultural productivity growth, household food security, and improved rural livelihoods and employment, while simultaneously mitigating environmental degradation. However, the multiplicity of these objectives, as well as the choice of approaches to achieving them and the site‐ and context‐specificity of specific technological and institutional interventions, assures that the research and policy challenges to achieving SAI will remain considerable. This article summarizes the contributions of the articles in this Special Issue in four areas of the literature. First, labor market constraints, the labor intensity of specific agricultural technologies and practices, and labor's substitutability, or complementarity, with other inputs are shown to widely influence their viability and related input efficiencies. Second, the articles identify specific tradeoffs and synergistic relationships that arise in the attainment of these multiple goals stemming from technologies, management practices, and policies introduced under specific agroclimatic, market, and institutional conditions. Third, these papers contribute to the literature on agricultural technology adoption by furnishing additional empirical evidence on the determinants and effects of investment behavior and adoption of specific technologies and management practices. Finally, the articles in this Special Issue emphasize that there is no single policy nor technological, management, or institutional innovation that unambiguously promotes SAI. Preferred policies must be contextualized and sensitive to initial biophysical, market, and institutional conditions.