The Adoption Of Modern Dairy Practices

The replies of more than 76,000 Canadian manufacturing milk and cream producers, to a mail questionnaire, were analyzed to determine the level of adoption of the following six modern dairy practices: (1) the use of production records, (2) the use of artificial insemination, (3) a milking machine, (4) a pipeline milker, (5) a bulk tank, and (6) a can cooler. The general level of use of these practices, with the exception of a milking machine, was found to be quite low in all parts of the country. Less than one-third of the respondents have a milking machine and either a can cooler or a bulk tank. The correlation between each of the six practices and seven farm characteristics indicate that the adoption of modern dairy practices is influenced by the number of cows milking, the share of income received from dairy sales, the type of market to which the milk is sold, investment in land and buildings and the age of the farm operator .     

Land Tenure and the Adoption of Conservation Practices

We use a logit adoption model with data on 941 U.S. corn producers from the 1996 Agricultural Resource Management Study to analyze the influence of land tenure on the adoption of conservation practices. We extend previous analyses by distinguishing renters according to lease type and by distinguishing practices according to the timing of costs and returns. We find that cash-renters are less likely than owner-operators to use conservation tillage, but share-renters are not. Both cash-renters and share-renters are less likely than owner-operators to adopt practices that provide benefits only over the longer term (grassed waterways, stripcropping, and contour farming).     

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.     

Spatial Modeling in Technology Adoption Decisions: The Case of Shuttle Train Elevators

This article empirically models a strategic game of technology adoption of shuttle train grain elevators with information on location of the firm and its competitors. A spatial econometric model illustrates the role of spatial interdependence of rivals' decisions as well as agronomic and competitive variables on discrete adoption decisions. The analysis assesses equilibria conditions that characterize technology adoption, in this case of shuttle train adoption, and the results provide an explanation of shuttle train adoption decisions in the grain handling industry in which spatial competition is critical.     

The Adoption and Impact of Bovine Somatotropin on U.S. Dairy Farms

Data from a national survey representative of U.S. dairy operations were used to assess adoption and the production and financial impacts of recombinant bovine somatotropin (rbST). Adoption rates of rbST varied significantly across the nation, but were higher among larger diary operations in all regions. However, the scale bias of rbST adoption was substantially diminished when the influence of location and the use of related technologies were measured. An increase in milk production per cow was associated with rbST adoption, but estimated financial impacts were not statistically significant due to substantial variation in the net returns of rbST adopters.     

The Economics of Erosion and Sustainable Practices: The Case of the Saint-Esprit Watershed

This paper examines the economics of the adoption of sustainable production practices for soil erosion control. The research was conducted on three case farms within the Saint‐Esprit watershed in Quebec using a two‐stage process. The first stage involved the use of GIS (Geographical Information Systems) to record erosion characteristics (slope, etc.) for these farmers'fields. This erosion information was then included as input information in the second stage of the process. Mixed integer linear programming (MILP) was used to model both individual farms and the watershed. Increasing erosion constraints were applied to these models to investigate changes in crop production mixes for farms and the watershed. A comparison of the results (farms versus watershed) was used to investigate policy questions concerning an optimal erosion constraint for society. Results generated indicate that farms with higher net incomes would be advantaged by erosion constraints set at the watershed level, whereas farms with lower net revenues would be disadvantaged. Thus, trading of pollution permits could be encouraged. Cet article examine les aspects économiques de l'adoption de pratiques de production durables visant a réduire l'érosion du sol. La recherche fut effectuée sur trois fermes situées dans le has sin du Saint‐Esprit au Québec, et impliqua un processus à deux étapes. Le premier étape consiste en l'utilisation du systéme d'informations géographiques “ SIG ” afin de noter les caractéristiques de l'érosion (pente, etc.) dans ces champs agricoles. Ces renseignements servirent de données au sein du deuxième étape. La méthode de programmation linéaire à nombres entiers mixtes fut employée afin de modéliser les fermes individuelles, ainsi que le bassin. Ensuite, les contraintes d‘érosion furent appliquées sur ces modèles de manière croissante, et ce afin d'étudier les changements dans le melange des productions de cultures pour les fermes et le bassin. Une comparaison des résultats (fermes vs. bassin) fut accomplie pour examiner les questions de politiques pouvant mener à une contrainte d‘érosion optimale pour la société. Les résultats obtenus démontrent que les fermes ayant des revenus nets élevés seraient avantagées par des contraintes d'érosion établies au niveau du bassin, tandis que les fermes aux revenus nets plus bas en seraient désavantagées. En conséquence, l'échange de permis de pollution est recommandé.     

Adoption of Food Safety Practices in Milk Production: Implications for Dairy Farmers in India

This study investigates the status, estimates the cost, and identifies the determinants of compliance with food safety measures in milk production in India. The study is based on the cross section primary data collected at the farm level in 3 states of India, namely, Bihar, Punjab, and Uttar Pradesh, in the year 2007. These states capture the geographical and institutional diversity of milk production and marketing in the country. The study shows that the status of compliance with food safety measures at the dairy farm level is not encouraging and a lot of efforts are needed to bridge this gap. The adoption intensity of food safety practices shows wide inter- and intraregional variations. This intensity depicts a positive relationship with herd size. The additional cost of compliance with food milk safety measures reveals an inverse relationship with herd size. The adoption intensity of food safety practices has been found to be influenced by the dairy farmers' characteristics. Herd size, education level, expertise in dairying, and integration of dairy farmers with modern milk supply chain have positive influence on the adoption intensity of food safety practices at the farm level. The positive relationship between adoption intensity of food safety measures and farmers' realization of milk price would influence farmers for greater adoption of these measures.     

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.     

Poverty Reduction Effects of Agricultural Technology Adoption: The Case of Improved Cassava Varieties in Nigeria

We use DNA‐fingerprinting to estimate the poverty reduction effect of adoption of improved cassava varieties in Nigeria. We estimate the counterfactual household income distribution of cassava producers by combining farm‐level treatment effects with a market‐level model. Our results suggest that adoption of improved cassava varieties has led to a 4.6 percentage point reduction in poverty, though this is sensitive to the measurement of adoption status. Therefore, accurate measurement of adoption is crucial for a more credible estimate of the poverty reduction effect of adoption. Our analysis also suggests that farmers who are more likely to be adopters are also likely to face higher structural costs. Addressing structural barriers that make improved technologies less profitable for the poor would therefore be important to increase the poverty reduction effect of improved cassava varieties.     

Adoption and Impacts of Sustainable Agricultural Practices on Maize Yields and Incomes: Evidence from Rural Zambia

This paper uses a multinomial endogenous treatment effects model and data from a sample of over 800 households and 3,000 plots to assess the determinants and impacts of adoption of sustainable agricultural practices (SAPs) on maize yields and household incomes in rural Zambia. Results show that adoption decisions are driven by household and plot level characteristics and that the adoption of a combination of SAPs raises both maize yields and incomes of smallholder farmers. Adoption of improved maize alone has greater impacts on maize yields, but given the high cost of inorganic fertiliser that limits the profitability of adoption of improved maize, greater household incomes are associated rather with a package involving SAPs such as maize–legume rotation and residue retention.     

Adoption of Captial Versus Management Intensive Technologies.

This research examines the factors explaining the adoption of a capital-intensive versus a management-intensive technology in the dairy industry. This is done by estimating a multinomial logit model of technological choices on California dairy farms. Results indicate significant differences in the probabilities of adoption of each technology, but not in the marginal effects of the explanatory variables on these probabilities. Thus the level of explanatory variables, such as herd size or education, appears to be the determinant of the probability of having adopted each technology. Implications of the results are discussed.
Cette analyse examine les facteurs qui expliquent l'adoption de deux technologies laitières, une intensive pour le capital, l'autre pour la gestion. Un modèle logit multivariée des choix technologiques sur les fermes laitières de la Californie est estimé. Les résultats indiquent que les différences entre les probabilités d'adoption de chacune technologie sont significantes, mais il n'y a pas des différences entre les effets des variables explicatives sur les probabilités marginales. Ainsi, c'est le niveau des variables explicatives qui détermine la probabilité de l'adoption de chaque technologie. Les implications des résultats sont discutées.     

Factors Influencing Partial and Complete Adoption of Organic Farming Practices in Saskatchewan, Canada

Using a sample of organic producers in Saskatchewan, Canada, this study uses a Tobit model to identify the factors that discourage or encourage the complete adoption of organic farming and to assess why farmers differ in the share of total cultivated crop area they allocate to organic practices. In particular, the study evaluates the effect of transaction costs on the decision to convert partially or completely from conventional to organic practices. The results highlight the importance of lowering certain transaction costs to encourage the adoption of organic management practices. Significant transaction costs were found to include infrastructure and services, satisfaction with marketer performance, marketing problems, and Internet use. Results suggest that farmers with smaller land holdings are more inclined to undertake complete adoption. While the education levels of organic farmers show no significant effect on the probability of adoption, younger organic farmers allocate significantly less of their cultivated area to organic practices. À partir d'un échantillon de producteurs de cultures biologiques de la Saskatchewan, au Canada, nous avons utilisé un modèle Tobit pour déterminer les facteurs qui encouragent ou découragent l'adoption totale des pratiques agricoles biologiques et les raisons pour lesquelles le pourcentage des superficies consacrées aux cultures biologiques varie d'un producteur à l'autre. Nous avons également examiné les répercussions des coûts de transaction sur la décision de passer, en totalité ou en partie, des pratiques conventionnelles aux pratiques biologiques. Les résultats ont fait ressortir l'importance de réduire certains coûts de transaction afin d'encourager l'adoption des méthodes agronomiques biologiques. Les coûts de transaction les plus importants incluaient les infrastructures et les services, l'efficacité des intermédiaires, les problèmes liés à la mise en marché et l'utilisation d'Internet. Les résultats autorisent à penser que les producteurs agricoles qui possèdent de petites superficies sont plus enclins à adopter en totalité l'agriculture biologique. Alors que le niveau de scolarité des producteurs ne semble pas avoir de répercussions sur la probabilité d'adopter l'agriculture biologique, les jeunes producteurs de cultures biologiques consacrent beaucoup moins de leurs superficies cultivées à la culture biologique.     

The Impact of Migration,Remittances and Public Transfers on Technology Adoption: The Case of Cereal Producers in Rural Kenya

Risk and liquidity constraints are major obstacles to the adoption of modern technologies in many rural African countries. Migration and remittances can help rural households overcome these constraints and increase the adoption of modern technologies. We analyse the impact of migration, remittances and government transfers on the adoption of improved seeds in rural Kenya. Using data from the World Bank, two stage least‐squares estimates show that both migration and remittances positively affect the adoption of improved seeds. However, three stage least‐squares estimates reveal that the adoption of new technologies is more related to migration than remittances.     

Spatial and Scope Effects: Valuations of Coastal Management Practices

We explore how values for environmental management in the Kimberley region of Australia respond to changes in spatial scale and attribute scope. A discrete choice experiment was conducted that included the impacts of management on marine no‐take areas, Aboriginal rangers, recreational facilities, and coastal development. A split sample single‐site design was used to estimate values for the Kimberley region as a whole, and for two separate smaller sub‐regions, allowing us to test for spatial preference heterogeneity. Management outcomes for different regions were displayed on a map to show respondents explicitly where outcomes would occur. We show that willingness to pay results are similar between the two smaller sub‐regions, and that willingness to pay for the attributes increased when management occurred at the larger geographical scale. However, respondents were somewhat insensitive to changes in the scope of the two cardinal attributes: area of no‐take and number of rangers. We discuss the implications of this spatial and scope insensitivity for choice experiment research.     

The Economics of Sustainable Land Management Practices in the Ethiopian Highlands

This article uses data from household‐ and plot‐level surveys conducted in the highlands of the Tigray and Amhara regions of Ethiopia. We examine the contribution of sustainable land management (SLM) practices to net value of agricultural production in areas with low vs. high agricultural potential. A combination of parametric and non‐parametric estimation techniques is used to check result robustness. Both techniques consistently predict that minimum tillage (MT) is superior to commercial fertilisers (CFs), as are farmers’ traditional practices (FTPs) without CFs, in enhancing crop productivity in the low agricultural potential areas. In the high agricultural potential areas, in contrast, use of CFs is superior to both MT and FTPs without CFs. The results are found to be insensitive to hidden bias. Our findings imply a need for careful agro‐ecological targeting when developing, promoting and scaling up SLM practices.     

Genetically Modified Crops, Corporate Pricing Strategies, and Farmers' Adoption: The Case of Bt Cotton in Argentina

This article analyzes adoption and impacts of Bt cotton in Argentina against the background of monopoly pricing. Based on survey data, it is shown that the technology significantly reduces insecticide applications and increases yields; however, these advantages are curbed by the high price charged for genetically modified seeds. Using the contingent valuation method, it is shown that farmers' average willingness to pay is less than half the actual technology price. A lower price would not only increase benefits for growers, but could also multiply company profits, thus, resulting in a Pareto improvement. Implications of the sub-optimal pricing strategy are discussed.