análise espacial da produtividade agrícola no estado do paraná: implicações para o seguro agrícola
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2008
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Abstract
O presente estudo tem como objetivo analisar espacialmente os dados de produtividade agrícola. Através da estatística espacial, é possível estimar alguns parâmetros do semivariograma relevantes para estudar o problema do risco sistêmico, com implicações nos programas de seguro agrícola. Em particular, estimaram-se os parâmetros de alcance para se verificar a distância, na qual a correlação espacial tende a zero. Para a análise empírica, utilizaram-se dados de produtividade agrícola municipal do IBGE para soja e milho, no estado do Paraná, no período de 1990 a 2002. O estudo mostrou que, de fato, a dependência espacial destes dados existe, tornando-se praticamente nula a distâncias relativamente longas (em km) e podendo ser captada em todos os anos, para ambas as culturas.
This paper analyses the spatial pattern of the agricultural yield data. Using the spatial statistics, it is possible to estimate some parameters of the semivariogram to study the problem of the systemic risk, which has great implications for the crop insurance program in Brazil. In particular, the "range" parameter was estimated. This parameter measures the distance, in which the spatial correlation tends to zero. For the empirical analysis, county yield data was used provided by IBGE, for soybean and corn, in the state of Paraná, through 1990 and 2002. The results showed that there is spatial dependence in every year analysed, going to zero in relatively long distances (in km).
This paper analyses the spatial pattern of the agricultural yield data. Using the spatial statistics, it is possible to estimate some parameters of the semivariogram to study the problem of the systemic risk, which has great implications for the crop insurance program in Brazil. In particular, the "range" parameter was estimated. This parameter measures the distance, in which the spatial correlation tends to zero. For the empirical analysis, county yield data was used provided by IBGE, for soybean and corn, in the state of Paraná, through 1990 and 2002. The results showed that there is spatial dependence in every year analysed, going to zero in relatively long distances (in km).
| Reference Key |
ozaki2008revistaanlise
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| Authors | ;Vitor Ozaki |
| Journal | ijhcm: international journal of human capital management |
| Year | 2008 |
| DOI |
10.1590/S0103-20032008000300011
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