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The Impact of the Green-Blue Municipality Program on Diseases Regarding Water and Air Quality in S o Paulo State, Brazil

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Listed:
  • Maxir, H.
  • Almeida, A.
  • Galvao, M.
  • Silveira, I.
  • Costa, R.

Abstract

This study evaluated the impact of the Green-Blue Municipality Program on the number of hospitalizations regarding air quality and number of disease cases due to contact with or consumption of contaminated water in the S o Paulo State, Brazil from 2007 to 2015. For that purpose, the Propensity Score Matching and Difference-in-Differences approach were the strategies used for identification. The main results showed no significant reduction in the cases of diseases related to polluted water and air quality in municipalities in the S o Paulo State. We find that environmental policy-makers at the state of S o Paulo need to improve the program focus, making the economic benefits clearer and, consequently, contributing positively to the environmental and public health policy management. Acknowledgement :

Suggested Citation

  • Maxir, H. & Almeida, A. & Galvao, M. & Silveira, I. & Costa, R., 2018. "The Impact of the Green-Blue Municipality Program on Diseases Regarding Water and Air Quality in S o Paulo State, Brazil," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277245, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae18:277245
    DOI: 10.22004/ag.econ.277245
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    References listed on IDEAS

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    1. Duflo, Esther & Glennerster, Rachel & Kremer, Michael, 2008. "Using Randomization in Development Economics Research: A Toolkit," Handbook of Development Economics, in: T. Paul Schultz & John A. Strauss (ed.), Handbook of Development Economics, edition 1, volume 4, chapter 61, pages 3895-3962, Elsevier.
    2. Carolyn Heinrich & Alessandro Maffioli & Gonzalo Vázquez, 2010. "A Primer for Applying Propensity-Score Matching," SPD Working Papers 1005, Inter-American Development Bank, Office of Strategic Planning and Development Effectiveness (SPD).
    3. Ravallion, Martin, 2008. "Evaluating Anti-Poverty Programs," Handbook of Development Economics, in: T. Paul Schultz & John A. Strauss (ed.), Handbook of Development Economics, edition 1, volume 4, chapter 59, pages 3787-3846, Elsevier.
    4. Chagas, André L.S. & Azzoni, Carlos R. & Almeida, Alexandre N., 2016. "A spatial difference-in-differences analysis of the impact of sugarcane production on respiratory diseases," Regional Science and Urban Economics, Elsevier, vol. 59(C), pages 24-36.
    5. Gehrsitz, Markus, 2017. "The effect of low emission zones on air pollution and infant health," Journal of Environmental Economics and Management, Elsevier, vol. 83(C), pages 121-144.
    6. Chabé-Ferret, Sylvain & Subervie, Julie, 2013. "How much green for the buck? Estimating additional and windfall effects of French agro-environmental schemes by DID-matching," Journal of Environmental Economics and Management, Elsevier, vol. 65(1), pages 12-27.
    7. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    8. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    9. Ho, Daniel E. & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2007. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference," Political Analysis, Cambridge University Press, vol. 15(3), pages 199-236, July.
    10. Wang-Sheng Lee, 2013. "Propensity score matching and variations on the balancing test," Empirical Economics, Springer, vol. 44(1), pages 47-80, February.
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