巴西的生产要素、区域经济发展和农业:空间计量经济学方法

Isabela Romanha De Alcantara, Lucir Reinaldo Alves
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引用次数: 0

摘要

农业对一个地区的发展进程具有重大影响,而生产用地、劳动力和技术则是农业发展活力的决定性因素。这项工作对 2006 年和 2017 年巴西各市的每个生产要素进行了空间分析,旨在验证是否存在关联和聚集模式。这项工作是一项探索性的定量应用研究。使用空间数据探索性分析(ESDA)对 2006 年和 2017 年巴西各市的每个生产要素进行了空间分析,以检验关联和聚集模式。主要的农业活动和实践与诺斯提出的出口有关。正如 Perroux 所述,在土地、劳动力和技术等要素的使用以及农业生产价值方面,集群的形成在巴西空间中具有极化作用。这种两极分化和集群的形成随着时间的推移在某些点上不断扩大,表明与邻近市镇形成了新的联系(如赫希曼)。空间关联模式在所有分析变量中都很显著,重点是非物质技术因素,在分析的两个时期中,该因素的空间自相关系数最高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Production factors, regional economic development and agriculture in brazil: A spatial econometrics approach
Agriculture has a great effect on the development process of a region and production land, labor, and technology are determinant factors in its dynamism. This work carries out a spatial analysis for each production factor of Brazilian municipalities in 2006 and 2017 and intends to verify if there are patterns of association and agglomerations. This work is applied research of quantitative and exploratory nature. The Exploratory Analysis of Spatial Data (ESDA) was used to perform spatial analysis for each production factor in Brazilian municipalities in 2006 and 2017 and to check the patterns of association and agglomerations. The main agricultural activities and practice are related to exports as proposed by North. The formation of clusters verified both in the use of the factors of land, labor and technology, and in the value of agricultural production has a polarized role in the Brazilian space, as described by Perroux. This polarization and the formation of clusters expanded at certain points over time, indicating the formation of new links with neighboring municipalities (a la Hirschman). The spatial association pattern was significant in all analyzed variables, with emphasis on the non-physical technology factor, presenting the highest spatial autocorrelation coefficient in both periods analyzed.
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