This investigation seeks to explore the importance of agglomeration mechanisms in the location decisions of new manufacturing firms in Ecuador, based on sector and canton level data for the 2000–2010 period. A model is proposed to explore the relative importance of agglomeration mechanisms in location decisions of new manufacturing companies, a regression is performed using instrumental variables, the econometric estimation is developed, and an identification strategy is proposed. The results of the empirical analysis show that the learning mechanism, and history, have a positive and significant impact on the creation of new firms. An increase of 1% in the transfer of knowledge in the industries and cantons of the country is correlated with the increase in the location of new firms in the order of 9.2%. In turn, history has a positive and significant effect on the creation of new firms, in industries and cantons characterized by a past industrial environment. Even when the learning mechanism and history are controlled by provinces, sectors, and cantons, they continue to be the most important determinants of the location of new firms. This evidence could be attributed to the public investment in Ecuadorian industry in recent years. In this sense, the contribution of this work is found in the empirical distinction of the mechanism that favors or inhibits the location decisions of new companies. The analysis was replicated for a three-digit sectorial disaggregation level, to verify whether the agglomeration mechanisms operate differently on a different industrial scale. The results suggested that there were no differences to be considered. When the analysis was done excluding the cantons of Quito, Guayaquil, and Cuenca, given their high representation in terms of the birth of industries and employment, the results were consistent with those previously mentioned. However, it is so only with respect to history, which in this case accounts for 38.8% of the birth of firms; whereas, matching accounts for an order of 38.9% in the period of analysis. This result is explained in the context of the country’s industrial policy.

中文翻译：

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厄瓜多尔新制造企业的选址决策。集聚机制

这项调查旨在根据2000-2010年期间部门和州一级的数据，探索集结机制在厄瓜多尔新制造企业选址决策中的重要性。提出了一个模型来探索集结机制在新制造公司的选址决策中的相对重要性，使用工具变量进行回归，开发计量经济估计方法，并提出一种识别策略。实证分析的结果表明，学习机制和历史对新公司的创建具有积极而重要的影响。该国各行业和州的知识转移增长1％与新公司选址的增长约9.2％有关。反过来，历史对以过去的工业环境为特征的工业和州的新公司的建立产生了积极而重大的影响。即使学习机制和历史受省，部门和州的控制，它们仍然继续是新公司所在地的最重要决定因素。这一证据可以归因于近年来厄瓜多尔工业的公共投资。从这个意义上说，这项工作的贡献在于对支持或抑制新公司选址决策的机制的经验区别。该分析重复了三位数的部门分解水平，以验证集聚机制在不同的工业规模上是否运作不同。结果表明没有差异可以考虑。当进行分析时，不包括基多，瓜亚基尔和昆卡州，因为它们在工业的诞生和就业方面具有很高的代表性，因此结果与前面提到的一致。然而，仅就历史而言如此，在这种情况下，这占公司诞生的38.8％；在分析期间，匹配占38.9％的顺序。该结果是在该国的产业政策背景下进行解释的。在分析期间为9％。该结果是在该国的产业政策背景下进行解释的。在分析期间为9％。该结果是在该国的产业政策背景下进行解释的。