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This study analyses the effect of the spatial factor, location, and interaction effects among peer companies, on the productivity growth of agri‐food companies in Spain. With this aim, we build a productivity growth index and apply a multiequational Seemingly Unrelated Regression on a sample of 344 Spanish cooperatives and investor‐owned firms for the period 2010–2012. Our findings show that agri‐food firms are influenced by spatial factors finding interesting differences between cooperatives and investor‐owned firms. With regard to the geographical location, cooperatives in the western of Spain show higher productivity growth rates, whereas investor‐owned firms in the northeast of Spain present better results. The interaction effect among closer peer companies is also a relevant factor to determine the productivity growth in agri‐food companies. This factor is more relevant for cooperatives than for investor‐owned firms.  相似文献   
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Journal of Consumer Policy - Online reviews have an undeniable impact on the market and are an important source of consumer information. From a legal perspective, online reviews actively influence...  相似文献   
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Diaspora networks provide information to future migrants, which affects their success in the host country. While the existing literature explains the effect of networks on the outcomes of migrants through the size of the migrant community, we show that the quality of the network is an equally important determinant. We argue that networks that are more integrated in the society of the host country can provide more accurate information to future migrants about job prospects. In a decision model with imperfect signalling, we show that migrants with access to a better network are more likely to make the right decision, that is, they migrate only if they gain. We test these predictions empirically using data on recent Mexican migrants to the United States. To instrument for the quality of networks, we exploit the settlement of immigrants who came during the Bracero program in the 1950s. The results are consistent with the model predictions, providing evidence that connections to a better integrated network lead to better outcomes after migration.  相似文献   
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ABSTRACT ** :  The study of the performance of agricultural cooperatives has become increasingly important in recent years, due to the significant role that they have in the agricultural food sector. In this context, the present study has a double aim: On one hand to use the Data Envelopment Analysis (DEA) technique in order to measure the efficiency of agricultural cooperatives, and on the other hand, to analyse if this technique is complementary to the traditional economic and financial ratio analysis. In order to achieve these objectives, an empirical study is carried out using the data of 247 observations made over a horizontal time span of three accounting years (2001–2003). The results show that the efficiency measures obtained by means of the DEA technique are an appropriate complement to the economic analysis of agricultural cooperatives.  相似文献   
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