Irrigation Technology Adoption and Gains from Water Trading under Asymmetric Information

We develop a water allocation and irrigation technology adoption model under the prior appropriation doctrine with asymmetric information among heterogeneous farmers and between farmers and water authorities. We find that adverse selection reduces the adoption of modern irrigation technology. We also show that even with asymmetric information, incentives for water trade exist and lead to additional technology adoption with gains to all parties. This suggests that under asymmetric information, a thin secondary market improves the allocation of water resources and induces additional adoption of modern irrigation technologies.     

A Model of Investment under Uncertainty: Modern Irrigation Technology and Emerging Markets in Water

This article develops a stochastic dynamic model of irrigation technology adoption. It predicts that farms will not invest in modern technologies unless the expected present value of investment exceeds the cost by a potentially large hurdle rate. The article also demonstrates that, contrary to common belief, water markets can delay adoption. The introduction of a market should induce farms with abundant (scarce) water supplies to adopt earlier (later) than they would otherwise. This article was motivated by evidence that, contrary to NPV predictions, farms wait until random events such as drought drive returns significantly above costs before investing in modern irrigation technologies.     

Dynamics of Agricultural Technology Adoption: Age Structure, Reversibility, and Uncertainty

We develop a dynamic model of technology adoption that generalizes previous literature by incorporating technology age, reversible investment, variable inputs and outputs, and stochastic prices. The model is calibrated for irrigated cotton production in California. Optimal investment exhibits a significant vintage capital effect which provides a new candidate explanation for delayed technology diffusion. We show that the hurdle rate derived by option value models can be partially explained by the assumption of irreversible investment, and simulations demonstrate this assumption has regional policy relevance. Uncertainty affects optimal investment but has a declining effect with technology age.     

A Cost Approach to Economic Analysis Under State-Contingent Production Uncertainty

This article explores the economics of input decision under production uncertainty. The article develops a methodology to specify and estimate cost-minimizing input decisions under a state-contingent technology. The analysis is applied to time series data on U.S. agriculture. It finds strong empirical evidence that expected output alone does not provide an appropriate representation of production uncertainty. The results provide empirical support for an output-cubical technology. This indicates that an ex post analysis of stochastic technology appears appropriate. The analysis also provides evidence that the cost of facing production risk has declined in U.S. agriculture over the last few decades.     

Stochastic Technology, Risk Preferences, and Adoption of Site-Specific Technologies

A model of farmer decision making is developed to determine the extent to which uncertainties about soil fertility and weather affect the value of site-specific technologies (SSTs) using jointly estimated risk and technology parameters. Uncertainty can lead risk-averse farmers to apply more fertilizers and generate more pollution than in the certainty case. Ignoring uncertainty and risk aversion would overestimate the economic and environmental benefits of SSTs and underestimate the subsidy required to induce adoption. Accounting for uncertainties and risk preferences might explain the low observed adoption rates of SSTs. Improving the accuracy of SSTs would increase the incentives for adoption.     

Insurance for Technology Adoption: An Experimental Evaluation of Schemes and Subsidies with Maize Farmers in Mexico

For farmers in developing countries, the combination of both risk aversion and the lack of insurance is often a major impediment to adoption of productivity‐enhancing technologies, such as higher yielding hybrid seed. In a framed field experiment with Mexican maize farmers, we investigate whether bundling hybrid seed with an insurance scheme can increase its adoption, while also controlling for risk aversion. We test insurance schemes with different levels of risk coverage and premium subsidies and find that (1) all schemes significantly increase the degree of adoption of the higher yielding seed, (2) partial insurance schemes perform worse than full insurance, (3) weather index insurance with geographical basis risk performs no worse than indemnity insurance, and (4) premium subsidies significantly increase the adoption effect of indemnity insurance, but not that of index insurance.     

Integrating Technology Traits and Producer Heterogeneity: A Mixed-Multinomial Model of Genetically Modified Corn Adoption

This article proposes a model of technology adoption that integrates demand for individual traits of new technologies with the potential for heterogeneity based on farm and farmer characteristics. The model is applied to recent genetically modified corn adoption data from Minnesota and Wisconsin farmers, using a mixed-multinomial logit (MMNL) model to estimate the effects of traits and farm and farmer characteristics on adoption outcomes. This approach allows explicit recovery of estimates of farmers' shadow prices for individual technology traits. Results show the importance of producer and regional heterogeneity in preferences for seed traits.     

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.     

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

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

Policy interventions to promote the adoption of water saving sprinkler systems: the case of lettuce on the Gnangara Mound

The potential for improving irrigation scheduling decisions and adoption of more efficient irrigation systems is explored using a bioeconomic simulation model of lettuce production on the Gnangara Mound near Perth, Western Australia. Sandy soils with poor water and nutrient holding capacity are associated with declining marginal productivity of water at high water use, which would create an incentive to reduce water use and to adopt closer sprinkler spacing if farmers had correct information about the declining marginal productivity of water. Incorrect perceptions regarding water–yield relationships lead to over use of water by up to 50 per cent and reduce profits by 475 per crop hectare (12 per cent) in the short run, and remove the incentive to adopt more efficient systems in the long run. Higher water prices create an incentive to reduce irrigation scheduling time in the short term and to adopt more uniform sprinkler systems, and tend to reduce the discrepancies associated with poor information about the marginal productivity of water. The low level of adoption of efficient irrigation systems in the region might be explained partly by historically poor water governance and insufficient extension regarding water productivity and technology.     

Climate Risk and Technology Adoption in the Midstream of Crop Value Chains: Evidence from Nigerian Maize Traders

Climate induced events exacerbate food production and distribution risks, posing a threat to global food security. Though many studies focus on farmer adaptation to climate change, there are few studies of actors in the middle of agricultural value chains such as traders, logistics providers, and processors. The activities of these actors, referred to as the ‘hidden middle’, are key determinants of the prices received by farmers and the price and quality of food products for consumers. We explore how climate events and risk perceptions affect the adoption of value‐adding and damage control strategies among maize traders in Nigeria, Africa’s largest economy and most populous country. We find consistent evidence that climate events and climate risk perception discourage the adoption of value‐adding practices including storage. This potentially affects the availability and price of maize for consumers (household and industry) in the lean season. However, once traders store maize, climate risk does not affect the adoption of damage control, but training and social networks do. These findings suggest that actors in the midstream of food value chains are responding to climate change and more attention needs to be paid to these actors to maintain the availability of affordable and safe maize products throughout the year. There is also a need for strategies to reduce the risks of trading activities due to climate change.     

Resource Management under Production and Output Price Uncertainty: Implications for Environmental Policy

Various environmental policies have been proposed to control agricultural runoff of nutrients and pesticides. The impacts of these policies on input use are complicated because of the various sources of uncertainty farmers face and the precise nature of farmers' risk attitude. A risk–averse farmer's response to changed profit , input , and output taxes under output price and production uncertainty is examined. The impact of these policies on input use depends on the form of production uncertainty, risk–input relationships, risk attitudes, and degrees of output price and production uncertainty. These results have implications for the design and implementation of environmental and other production–related policies.     

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.     

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.     

Production Risks and Food Security under Alternative Technology Choices in Malawi: Application of a Multinomial Endogenous Switching Regression

Employing nationally representative data, we investigate the impact of Sustainable Intensification Practices (SIPs) on farm households’ food security, downside risk and the cost of risk in Malawi. The analysis relies on a flexible moment‐based specification of a stochastic production function in a multinomial endogenous switching regression framework to correct for the selection bias stemming both from observed and unobserved heterogeneity. A quantile moment approach is used to estimate the cost of risk. After controlling for the effects of unobserved heterogeneity and several observable variables on maize production and downside risk functions, estimation results show that the adoption of SIPs increases food security and reduces downside risk exposure and the cost of risk. We estimate greater food security and larger reduction in downside risk from simultaneous adoption of both crop diversification (maize–legume intercropping and rotations) and minimum tillage, suggesting that there are complementary benefits from these practices. We find most of the cost of risk comes from exposure to downside risk. Our findings imply that in dealing with production risks development agents should encourage the adoption of agronomic and resource‐management practices along with other risk mitigation and food security improving strategies.     

Adoption of Agricultural E-Marketing: Application of the Theory of Planned Behavior

In this study, the authors used the theory of planned behavior (TPB) as a base model to determine how attitudes, subjective norms, and perceived behavioral control predict the intention of agricultural services professionals to adopt e-marketing of agricultural commodities. A convenient sample of 146 professionals from the public (n?=?61) and private sectors (n?=?85) were surveyed. Overall, results showed that the TPB model explained 94% and 71% of the variation in behavioral intent for public professionals and private professionals, respectively, with the remaining 6% and 29% relating to the other factors. Results for the public professionals showed that subjective norm and perceived behavioral control have a more important effect on adoption and that the effect of attitude was very small among professionals in private sector. Both groups selected the information services model as an appropriate in agricultural electronic marketing for local farmers so that agricultural services firms can offer only information services of farmers’ products without a direct role in buying and selling. Based on the results, it is recommended that to accelerate the adoption of e-marketing, its user-friendliness and advantages should be demonstrated to users via different platforms such as video presentations and workshops. In addition, the technology should be made available to potential users, and they should be encouraged and motivated to use it to ensure efficiency in the processing of transactions.     

Investment in site-specific crop management under uncertainty: implications for nitrogen pollution control and environmental policy

This paper applies an option‐pricing model to analyze the impact of uncertainty about output prices and expectations of declining fixed costs on the optimal timing of investment in site‐specific crop management (SSCM). It also analyzes the extent to which the level of spatial variability in soil conditions can mitigate the value of waiting to invest in SSCM and influence the optimal timing of adoption and create a preference for custom hiring rather than owner purchase of equipment. Numerical simulations show that while the net present value (NPV) rule predicts that immediate adoption is profitable under most of the soil conditions considered here, recognition of the option value of investment indicates that it is preferable to delay investment in SSCM for at least 3 years unless average soil quality is high and the variability in soil quality and fertility is high. The use of the option value approach reveals that the value of waiting to invest in SSCM raises the cost‐share subsidy rates required to induce immediate adoption above the levels indicated by the NPV rule.     

Time to Eat: Household Production under Increasing Income Inequality

Using time diaries and expenditure data for the United States for 1985 and 2003, I examine how income and time prices affect time and goods inputs into eating. Both inputs increase with income, and higher time prices reduce time inputs. Between 1985 and 2003 the goods intensity of eating increased, especially lower in the income distribution, and average time inputs dropped, particularly time spent shopping, preparing, and cleaning up after meals. The results are consistent with relatively difficult goods-time substitution in eating that becomes more difficult as household production expands.     

我国农村劳动力转移背景下粮食增产对策研究

分析农村劳动力转移对粮食生产的不利影响,基于资源要素优化配置角度,提出加快推动农业机械化、人力资源开发和粮食科技推广,进而实现农村劳动力转移的替代,以有效可持续实现粮食增产.