145 research outputs found

    EXCISE TAXES AND COMMODITY PROMOTION: BAYESIAN RETRIEVAL OF THE OPTIMUM

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    This article shows how the solution to the promotion problem--—the problem of locating the optimal level of advertising in a downstream market--—can be derived simply, empirically, and robustly through the application of some simple calculus and Bayesian econometrics. We derive the complete distribution of the level of promotion that maximizes producer surplus and generate recommendations about patterns as well as levels of expenditure that increase net returns. The theory and methods are applied to quarterly series (1978:2S1988:4) on red meats promotion by the Australian Meat and Live-Stock Corporation. A slightly different pattern of expenditure would have profited lamb producers.Bayesian estimation, commodity promotion as an experiment, distribution of the optimum, Taylor-series expansion, Livestock Production/Industries, Marketing,

    Organic farming policies and the growth of the organic sector in Denmark and the UK: a comparative analysis

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    There has been little systematic analysis of the extent to which organic farming policies have influenced growth in the organic sector. Analyses of organic farming policy instruments, for the most part, provide extensive and detailed reviews of instruments applied either in a single country or across countries. Hence, there is a great need to examine systematically whether there is a relationship between the introduction of organic farming policies and the growth of the organic food sector, and whether particular designs of organic farming policies are more effective than others. In this paper, we take the first step in the endeavour of analysing the effects of organic farming by undertaking an econometric analysis of the relationship between organic farming policies in Denmark and the UK and their effects on the number of farmers and growers converting to organic production

    Sustainable land use pathway ranking and selection

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    This paper presents methodology for ranking and selecting sustainable ‘land-use pathways,’ arguing that the methodology is central to sustainable-land-use-policy prescriptions, providing essential innovation to assessments hitherto devoid of probabilistic foundation. Demonstrating routine implementation of Markov-Chain, Monte-Carlo procedure, ranking-and-selection enactment is widely disseminable and potentially valuable to land-use policy prescription. Application to a sample of Ethiopian-highlands, land-dependent households highlights empirical gains compared to conventional methodology. Applications and extensions that profit future land-use sustainability are discussed (68 words)

    An Empirical Analysis of the Effects of Plant Variety Protection Legislation on Innovation and Transferability

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    Under the TRIPs Agreement, all member-countries of the World Trade Organization are required to provide an "effective" system of plant variety protection within a specific time frame. In many developing countries this has led to a divisive debate about the fundamental desirability of extending intellectual property rights to agriculture. But empirical studies on the economic impacts of PVP, especially its ability to generate large private sector investments in plant breeding and facilitate the transfer of technology, have been very limited. This paper examines two aspects of the international experience of PVP legislation thus far (i) The relationship between legislation, R&D expenditures and PVP grants, i.e., the innovation effect, and (ii) The role of PVP in facilitating the flow of varieties across countries, i.e., the transferability effect.Plant variety protection, biotechnology, technology transfer, Crop Production/Industries,

    New Results On Censored Regression with Applications to Transactions Costs, Household Decisions and Food Purchases

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    We generalize the Tobit censored regression to permit unique unobserved censoring thresholds conditioned by covariates and a set of common response coefficients. This situation , we argue, is one arising frequently in applications of censored regression and we provide three diverse examples to motivate the theory. We derive a robust estimation algorithm with three noteworthy features. First, by augmenting the observed-data likelihood with the censored observations, the estimation strategy is the same as Chib (1992) who derives Bayes estimates of the conventional censored regression. Second, by virtue of its generality, the model is applicable to a much broader set of circumstances than the conventional Tobit regression, which is nested as a special case of the more general framework. Third, despite its generality and wide applicability, the estimation algorithm is very simple, evidencing routine application of Markov chain Monte Carlo methods (MCMC)-Gibbs sampling in particular- and requiring only modest extensions of the basic algorithm in Chib (1992). The model and procedures are illustrated empirically in three applications that we use to motivate the theory, namely problems in transactions-costs economics, household decision-making and food-consumption.conditionally censored Tobit regression, Bayes inference, Food Consumption/Nutrition/Food Safety, O11, C34, O13,
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