Abstract
The aim of this paper is to present novel variables in the Brazilian Central-West Region to evaluate the spatial dependence of the Gross Domestic Product of agriculture and livestock (GDPagri) and the Gross Value of Production (GVP) on the main agricultural and livestock commodities in order to identify clusters of high and low spatial correlations. Data on the municipalities of Mato Grosso do Sul State (MS) between 2000 and 2010 is used. Initially, a spatial exploratory data analysis is performed to verify the hypothesis of global spatial randomness of the evolution of GDPagri and GVP, with Moran's I statistic as the instrumental measurement. In addition, econometric and spatial models were utilized. The results of the three spatial models used indicated that the SAR model (Spatial Auto Regressive) is most appropriate for the evaluation of GDPagri in MS. Despite beef cattle having presented the greatest GVP, the culture of sugar cane allowed for a greater increase in GDPagri. Key words: Agribusiness, gross domestic product, spatial econometrics, Brazil.
Highlights
The ideas of commodity systems have been constantly changing over the decades; we can say that knowledge of supply chain management in business and studies of commodities have become important influences in economic development (Jackson et al, 2006)
Considering the aforementioned factors, this article aims to evaluate the spatial dependence of the GDPagri and Gross Value of Production (GVP) evolution on the following commodities: beef cattle, cotton, maize, soybean and sugar cane between the years 2000 and 2010 in Mato Grosso do Sul State municipalities
Where: N is the number of elements surveyed; Wij are the spatial weights of the matrix elements; i and j are the spatial units; and Wx corresponds to the average values of the variables x within a spatial matrix (Lins et al, 2015)
Summary
The ideas of commodity systems have been constantly changing over the decades; we can say that knowledge of supply chain management in business and studies of commodities have become important influences in economic development (Jackson et al, 2006).
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
