1,721,022 research outputs found

    A Bayesian network to predict farms surviving in the organic system: a case study from Marche, Italy

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    The maintenance of organic farming production schemes is a theme receiving a growing interest now that there are signs of a slowing in organic farming uptake in Italy. The present study develops a model based on a Bayesian network (BN) that is aimed at investigating the factors that affect the exit of a farm from the organic sector and to simulate the probability of maintaining an organic scheme for different farm types. The model is based on a database of organic farms, which has been integrated with qualitative information. Farm-type simulation and sensitivity analysis of most of the relevant variables have been carried out. Main results show that arable farm types are those with a higher probability to stay in the organic sector, while farmers’ age, province the farm is situated in and farm size are the factors mostly influencing probability scores

    I fattori chiave della recente crescita economica in Cina: uno Studio a Livello Regionale

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    The aim of this paper is to analyse the main factors that have affected the economic growth of Chinese provinces during the period 2002-2006, exploring the impact of reforms in different periods. The production function approach focuses on human capital, “space-serving” infrastructure and institutional changes. Ad hoc indices are elaborated and provincial capital stocks estimated. The empirical results indicate the positive role of capital stock, human capital and physical infrastructure and underline that institutional changes affected the level of aggregate output. The policy implications suggest redistribution to the poorest provinces and investing in human capital and infrastructure, in order to overcome supply bottlenecks and attract local and foreign investment
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