The role of social networks in the adoption of competing new technologies in Ghana

We use a detailed dataset to examine the impact of social networks, conditional on contextual and individual confounders, on farmers' adoption of competing improved soybean varieties in Ghana. Based on the contagion conceptual framework, we employ a spatial autoregressive multinomial probit model to examine how neighbours' varietal and cross-varietal adoption of improved varieties affect a farmer's adoption decision in the social network. Our results show that adoption decisions in a network tend to converge on one variety, such that beyond a threshold of adopting neighbours of that improved variety, the cross-varietal effects tend to lose significance in the network. If the shares of adopting neighbours of the improved varieties are equal, we find evidence that farmers are not more likely to adopt either improved variety compared to farmers with no neighbours who have adopted the improved varieties. The findings demonstrate the significance of neighbourhood effects in the adoption of competing technologies.     

农户采纳稻虾共作模式的邻里效应研究

[目的]稻虾共作生态农业模式在长江中下游地区发展迅速,对于这一生态农业模式的扩散机理研究,有助于推动其他生态农业模式发展。[方法]文章基于湖北省、湖南省和安徽省农户调研数据,采用二元Probit计量方法分析了农户采纳稻虾共作模式的邻里效应,并采用工具变量法对基准回归结果的内生性进行检验及计算出社会乘数效应。[结果]（1）农户的稻虾共作模式采纳行为存在显著的邻里效应,同村邻里农户采纳行为均值每提高一个单位,个体农户采纳稻虾共作模式的概率将提高26.5%;邻里农户采纳行为的社会乘数效应为1.69。（2）农户的稻虾共作模式采纳行为还存在显著的情景效应;加入合作社可以显著提高农户稻虾共作模式采纳行为。[结论]在生态农业模式采纳比较少的行政村内,可以采取适当的激励政策引导部分农户采纳生态农业模式,再通过邻里互动效应作用,间接影响其他农户,从而提高整体采纳水平,形成规模效应。优先采纳的农户通过技术示范、经济收益示范,影响和带动其他农户采纳;充分发挥合作社的辐射带动作用,促进农户生态农业模式采纳行为。     

Estimating Input Complementarities with Unobserved Heterogeneity: Evidence from Ethiopia

The level of technology adoption is often characterised as low in Africa. Recent evidence, however, points to the coexistence of substantial heterogeneity across farm households and the lack of a suitable mix of inputs for farmers to take advantage of input complementarities. We use a random coefficients multivariate probit model to quantify the complementarities between agricultural inputs and alternative forms of unobserved heterogeneity effects in modeling farmers' technology adoption decisions. The empirical analysis reveals that, conditional on various types of unobserved heterogeneity effects, farmers' technology adoption decisions exhibit strong complementarity for some inputs. The analysis also reveals substantial unobserved heterogeneity effects. We show that ignoring these behavioural features (unobserved heterogeneity and input complementarity) has important implications in quantifying the effect of some policy interventions that are meant to facilitate technology adoption. In particular, ignoring these features leads to significant overestimation of the effectiveness of extension services.     

Conservation practice complementarity and timing of on-farm adoption

The adoption of conservation practices is a dynamic process. Factors that vary over time can affect farmers’ decision to adopt and adoption timing. We used a duration model to evaluate the farmer's adoption time for continuous no-till (CNT), cover crops (CCs), and the variable-rate application of inputs (VRA). We found that producers who had previously adopted soil conservation practices were more likely to adopt additional complementary practices. Farmers using crop rotation adopted CNT and CCs approximately 48% and 62% faster than farmers without a crop rotation, respectively. The CC adoption time was also reduced by 70% for farmers who had adopted CNT. Complementarities between conservation practices may enhance the benefits from adoption and allow farmers to adopt bundles of conservation practices more quickly over time. This can be taken advantage of in conservation programs by promoting or requiring practices first that enhance adoption of other practices. We also found important heterogeneity in the adoption speed associated with farm management characteristics, producers’ attitudes, weather patterns, and crop prices.     

The effect of information sources on technology adoption and modification decisions

This article focuses on adoption and modification decisions on improved maize storage technologies in southern Benin. Modification implies changing a technology to adapt to farmers' circumstances. A sample selection framework is used to account for selectivity bias as some farmers were not aware of the new technologies. Using this framework, the study investigates the effect of alternative information sources on adoption and modification decisions. Farmers are either informed by extension agents or by other farmers. The empirical results show that there are differences in adoption and modification decisions between these two groups.     

Agricultural sustainability of small-scale farms in Lacluta,Timor Leste

Despite the trend of dwindling productivity, tribal people of the Chittagong Hill Tracts (CHT) still practise shifting cultivation as a dominant hill farming system to support their livelihood. Drawing on an empirical study in Khagrachari district of the CHT, this research examined how far the production from present shifting cultivation supports the tribal people's livelihood and what alternative livelihood strategies they have adopted for subsistence by using data on input/output and income/expenditures, and analysing current government policies. The findings showed that productivity declined markedly, yields were almost equal to input values and farmers experienced food shortages for at least two to six months in a year. To make a living, farmers have adopted new occupations such as wage labour, animal husbandry, cultivation of annual monocrops and extraction and selling of forest products. Policy analysis indicates that previous policies were unable to reduce shifting cultivation intensity or improve tribal people's livelihoods or the region's forest resources. Reorientation of government policies, easy access to institutional support and the active participation of local people in development intervention are of the utmost importance in order to find alternative land uses for sustainable hill farming, to improve the farmer's living standards and to conserve forests and protect watersheds.     

Chinese land policies and farmers’ adoption of organic fertilizer for saline soils

Soil salinization has become a global concern and poses a great threat to food production and sustainable land use. Land use policies are the main driver of saline soil farmland use in ecosystems. This paper proposes a theoretical framework for analyzing how saline soil farmland use is affected by land use practices of individual farm households. An empirical study, using an ordered probit model, was conducted based on questionnaire responses from farm households in 8 towns and 14 villages in eco-fragile areas in Shandong, Jilin and Xinjiang provinces. The results suggest that land tenure, state systems agricultural support, characteristics of a field parcel and characteristics of the farm households have different influences on farmer's land use in three regions. The adoption of organic fertilizer by individual households is constrained by the lack of stability and integrity in land tenure. Furthermore, the parcel of a field is generally small, sparsely distributed and often fragmented, which increases costs. Even subsidizing organic fertilizer does not necessarily help in its adoption. Given these challenges, this study makes recommendations for different regions that may promote the adoption of improved saline soil farmland cultivation methods by farmers.     

THE PROBLEM OF IMPUTING A CHARGE FOR FARMERS‘ MANAGEMENT: A COMMENT

In a recent article in this journal, Simon (1979) presented a model intended to provide a basis for the empirical estimation, from FMS data, of the value of the farmer's management input. Unfortunately, Simon's model can be used for this purpose only with the aid of some apparently arbitrary assumptions which are produced without critical examination or empirical evidence. We believe that his approach reveals a mistaken view of how farmers actually behave and a confusion as to the problem and purpose of imputing costs to non-traded items.     

Dial “A” for agriculture: a review of information and communication technologies for agricultural extension in developing countries

Agriculture can serve as an important engine for economic growth in developing countries, yet yields in these countries have lagged far behind those in developed countries for decades. One potential mechanism for increasing yields is the use of improved agricultural technologies, such as fertilizers, seeds, and cropping techniques. Public sector programs have attempted to overcome information‐related barriers to technological adoption by providing agricultural extension services. While such programs have been widely criticized for their limited scale, sustainability, and impact, the rapid spread of mobile phone coverage in developing countries provides a unique opportunity to facilitate technological adoption via information and communication technology (ICT)‐based extension programs. This article outlines the potential mechanisms through which ICT could facilitate agricultural adoption and the provision of extension services in developing countries. It then reviews existing programs using ICT for agriculture, categorized by the mechanism (voice, text, internet, and mobile money transfers) and the type of services provided. Finally, we identify potential constraints to such programs in terms of design and implementation, and conclude with some recommendations for implementing field‐based research on the impact of these programs on farmers’ knowledge, technological adoption, and welfare.     

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.     

ICT and agricultural productivity: evidence from cross-country data

This article carries out agricultural production function estimations, based on data for the period 1995–2000 on 81 countries, to present empirical evidence on the relationship between the adoption of information and communication technology (ICT) and agricultural productivity. It is found that new ICT has a significantly positive impact on agricultural productivity. The evidence suggests that the adoption of modern industrial inputs in agricultural production relies on the information and communication infrastructure. However, the empirical evidence from this study also suggests that new ICT could be a factor for the divergence between countries in terms of overall agricultural productivity. Not only do we find that the ICT adoption levels of the richer countries are much higher than those of the poorer countries, but also that returns from ICT in agricultural production of the richer countries are about two times higher than those of the poorer countries. A plausible explanation for the poorer countries' relatively low productivity elasticity of ICT is the lack of important complementary factors, such as a substantial base of human capital.     

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.     

The impact of the use of new technologies on farmers’ wheat yield in Ethiopia: evidence from a randomized control trial

In 2013, Ethiopia's Agricultural Transformation Agency introduced the Wheat Initiative to increase smallholder productivity. In this article, we measure the impacts of the Wheat Initiative package of technologies, and its marketing assistance component alone, on yields among a promotional group of farmers. The package includes improved techniques, improved inputs, and a guaranteed market for the crop. Relying on crop‐cut measures and farmers’ own assessments, we find that full package led to an average 14% higher yields. Implementation of the Wheat Initiative was successful in making certified seed and fertilizer accessible to farmers and increasing their uptake, though only 61% of the intervention group adopted row planting and few farmers received marketing assistance. The measured yield difference may underestimate the true yield difference associated with the technology because of incomplete adoption of the recommended practices by intervention farmers and adoption of some practices by control farmers.     

Risk, uncertainty, and learning in adoption of a crop innovation

Risk and uncertainty have often been suggested as causes of poor adoption of rural innovations, but empirical evidence has been scarce. This study focuses on a new crop‐type, chickpeas, in Western Australia to gather such evidence. The empirical models developed are based on a theoretical framework that conceptualizes adoption as a dynamic decision process involving information acquisition and learning‐by‐doing by growers who vary in their managerial abilities, risk preferences, and their perceptions of the profitability and riskiness of the innovation. Learning encompasses improvements in skill as well as reductions in uncertainty. An annual face‐to‐face survey of over 100 farmers was conducted over 3 years, eliciting the farmers' risk attitudes and their subjective distributions of yields and prices. Two limited dependent variable models, Tobit and Probit, are used to estimate the empirical model. There is a high degree of goodness‐of‐fit for both models. The study provides strong empirical support for the primarily economic character of the adoption decision, and highlight the importance of economic risk in the process. The two risk‐related factors with greatest impact on the adoption decision were risk aversion and relative riskiness of the innovation. Risk aversion tended to reduce adoption, and to do so to a greater extent as relative riskiness and scale increased. Results also reveal the key role that trialing of the innovation plays in adoption.     

How crop insurance influences agrochemical input use: Evidence from cotton farmers in China

Crop insurance is critical in risk management in global agricultural production (e.g. by helping stabilise farmers' incomes in the long term and reducing risk-bearing costs). In this paper, using field survey data on cotton farmers in Xinjiang, China, we examine the influence of crop insurance on farmers' behaviours regarding agrochemical inputs and aim to investigate the synergy between crop insurance and reductions in fertiliser and pesticide usage. We find evidence that crop insurance significantly negatively affects farmers' use of fertilisers and pesticides, as well as significantly positively affects their adoption of green agricultural technologies (GAT) that can replace or complement traditional fertilisers and pesticides. Moreover, our results reveal that compared with small-scale farmers, crop insurance has a stronger effect on large-scale farmers' use of agrochemicals. Finally, when the insured amount is higher or the relative deductible is lower, farmers are more likely to reduce fertiliser and pesticide usage and adopt GAT. Overall, this paper scientifically identifies crop insurance can improve farmers' agrochemical input behaviour, by reducing farmers' use of traditional agrochemical inputs and increasing their adoption of GAT, which is of great significance for ensuring the safety of the agricultural ecological environment.     

Is late really better than never? The farmer welfare effects of pineapple adoption in Ghana

Export agriculture offers potentially high returns to smallholder farmers in developing countries, but also carries substantial market risk. In this article we examine the intertemporal welfare impact of the timing of a farmer's entry into the export pineapple market in southern Ghana. We examine whether farmers who never cultivated pineapple are better or worse off than farmers who decided to adopt pineapple earlier or later relative to their peers and experienced a significant adverse market shock several years prior to our endline survey. We use a two‐stage least squares model to estimate the causal effect of duration of pineapple farming on farmer welfare. Consistent with economic theory, we find that earlier adoption of the new crop brings greater welfare gains than does later uptake. But we find that the gains to later uptake of pineapple—just before the market shock—are small in magnitude, just 0.1 standard deviations of a comprehensive asset index, indicating that the gains to adoption may be precarious and depend on the context, in particular on the severity of prospective market shocks.     

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...     

Market facilities and agricultural marketing: evidence from Tamil Nadu,India

This article analyzes the effect of facilities and infrastructure available at the marketplace on a farmer's decision to sell at the market. The econometric estimation shows that the likelihood of sales at the market increases significantly with an improvement in market facilities and a decrease in travel time from the village to the market. The results suggest that wealth reduces a farmer's cost of accessing market facilities more than it increases her/his opportunity cost of leisure. The policy simulation indicates that the marginal benefits from an improvement in market facility will favor the poorer farmers in the context of India.     

INFORMATION SYSTEMS FOR CROP MANAGEMENT: PROSPECTS AND PROBLEMS

The use of simulation models and expert systems in the provision of management information is considered with respect to cereal variety selection, together with the advantages and disadvantages that these can bring over more traditional methods of providing farmers with timely information. The integration of the tools of simulation and expert systems can help to overcome their respective limitations. However, considerable emphasis needs to be placed by researchers on the problem of adoption of such software by farmers and advisers if the benefits of such tools are to be even partially realised in the long term.     

Information sharing as a safeguard against the opportunistic behavior of South African Karoo Lamb farmers

Misconduct in global meat supply chains are omnipresent and even more so in differentiated chains where credence attributes such as origin and taste are used to differentiate the product. By definition, these attributes signal asymmetric information which implies that in the presence of bounded rational individuals with conflicting interests, misconduct in the form of opportunistic behavior is bound to prevail. Increased information exchange through farmer networks is, however, expected to reduce opportunistic behavior. In the case of a differentiated meat product, such as Karoo Lamb, the article studies the farmer‐abattoir transaction with the purpose of recommending strategies that can be implemented to reduce the farmer's tendency to behave opportunistically. The article employs the PLS approach to SEM and reveals a significant negative relationship between information shared and opportunistic behavior. The results indicate significant positive relationships between trust in the abattoir and information shared as well as between farmer networks and information shared. These results are indicative of the support provided to the information shared construct by higher levels of trust between farmers and abattoirs and established farmer networks. It is, therefore, recommended that differentiated meat supply chains, through their various associations, concentrate their efforts to promote information sharing by building stronger, trust centered relationships and by supporting farmer networks.