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A Spatial Difference-in-Difference Analysis to Measure the Sugarcane Producing Impact in Respiratory Health

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Abstract

The production of ethanol and sugar from sugarcane has sharply increased in Brazil in the last 20 years, in a process of substitution of biofuel for fossil fuels. The increase in the production and the expansion of the cultivated area might have impacts on human health and employment, especially at the regional level. So far, the harvest is basically manual, involving low-skill workers. The burning of the cane is meant to increase labor productivity and has been traditionally executed. However, the burning generates a massive quantity of smoke that spread in the region, reaching neighboring cities, thus becoming a potential threat to the human health. The objective of this paper is to measure the impact of sugarcane producing, and indirectly, the burning associated to this production, on respiratory problems. We work with a balanced panel of 644 municipalities, from 2002 to 2013. We propose to use a spatial difference-in-difference method, to control for the effect of sugarcane burning on non-producing regions in the vicinity of producing regions. We conclude that sugar cane burning significantly increases the incidence of respiratory problems in producing regions. The use of a spatial diff-in-diff model allowed us to find out that the effect on non-producing nearby regions is also significant and quantitatively relevant. We make a Monte Carlo simulation and conclude that our method is able to identify effects over non treated higher than 50%.Our empirical results suggest that the effect over non-treated region is about 3/4 of the effect on producing aereas.

Suggested Citation

  • Andre Chagas & Carlos Azzoni & Alexandre Almeida, 2015. "A Spatial Difference-in-Difference Analysis to Measure the Sugarcane Producing Impact in Respiratory Health," ERSA conference papers ersa15p511, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa15p511
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    More about this item

    Keywords

    Sugarcane Producing; Health Condition; Spatial Econometrics; Spatial Diff-in-Dif;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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