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.     

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.     

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.     

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.     

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.     

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.     

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.     

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.     

Dynamic Efficiency Measurement: Theory and Application

Nonparametric dynamic measures of production efficiency are developed in the context of an adjustment-cost technology and intertemporal cost minimization. Bounds on each efficiency measure are derived for each firm using a nonparametric revealed preference approach. Long-run efficiency measures indicate the relative efficiency of both variable and dynamic factors while short-run measures of efficiency indicate whether variable inputs are employed efficiently in the production process. The efficiency measures are temporal in nature by describing the degree of efficiency of the firm at a particular point along its adjustment path. The empirical implementation is illustrated for a balanced panel of Pennsylvania dairy operators during 1986–1992.     

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.     

常用药食两用植物在中餐凉菜制作中的应用

追溯“药食同源”起源和发展,简述常用的6种药食两用食材的养生功效。通过查阅资料发现,用紫苏、薄荷、百合、山药、山楂和桔梗制作凉菜具有极高的营养价值,对治疗多种疾病有辅助作用,其药食两用价值高,药食两用植物的开发利用前景广阔。     

Supply Response to Countercyclical Payments and Base Acre Updating under Uncertainty: An Experimental Study

We design an experiment to simulate how people make agricultural production decisions under three policy scenarios, each incorporating direct payments (DPs): ( a ) price uncertainty without countercyclical payments (CCPs); ( b ) price uncertainty with CCPs; and ( c ) price uncertainty, CCPs, and uncertainty regarding base acreage updating. Results are the CCP program and perceived possibility of future base updating created incentives for subjects to invest more in program (base) crops, despite payments being decoupled from current production decisions. Those choosing to reduce revenue risk by increasing plantings of base crops may face reduced incomes, suggesting the efficiency of crop markets may be diminished.     

Beggar-Thy-Neighbor Advertising: Theory and Application to Generic Commodity Promotion Programs

Profits from generic advertising by a producer group often come partly at the expense of producers of closely related commodities. The resulting tendency toward excessive advertising is exacerbated by check-off funding. To analyze this beggar-thy-neighbor behavior we compare a scenario where different producer groups cooperate and choose their advertising expenditures jointly to maximize the sum of profits across the groups, and a scenario where they optimize independently. In an illustrative example using 1998 data for U.S. beef and pork, the noncooperatively chosen expenditure on beef and pork advertising is more than three times the cooperative optimum.     

Weak Disposability in Nonparametric Production Analysis: Reply to Färe and Grosskopf

Färe and Grosskopf (this issue) claim that a single abatement factor suffices for modeling weak disposability in nonparametric production models, and that the Kuosmanen (2005) technology that uses multiple abatement factors is larger than necessary. This article demonstrates by a numerical example that a single abatement factor does not suffice to capture all feasible production plans, and that its use leads to the violation of convexity, one of the maintained assumptions of the model. We also prove that the Kuosmanen technology is the correct minimum extrapolation technology under the stated axioms.     

基于物联网的国土资源信息化监管平台研究与应用

以物联网为基础,构建了国土资源信息化监管平台,从事前、事中、事后三个环节,分别对国土资源动态监测与配置、国土资源规划、国土资源利用与国土资源保护四个方面实现了监管;基于此,提出了国土资源监管的决策、执行、监督三个主要监督平台,包括形势分析、核查比对、监测预警、廉政建设、集约评价和绩效评价6种监管模式。以黄石市为主要示范区,从年度卫片执法检查和土地利用变化监测两个方面对监管平台进行了实例验证,结果表明,黄石市在国土资源监管方面取得了显著的应用和示范效果。因此,基于物联网的国土资源信息化监管平台所采用的技术手段及其方法是科学合理的,但由于技术及时间等的限制,该平台仍须改进。