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Economic and social impact of grape growing in Northeastern Brazil

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Listed:
  • Arata, Linda
  • Hauschild, Sofia
  • Sckokai, Paolo

Abstract

The Northeastern viticultural industry has become a model for the whole Brazil and has been identified as a grape production district. Given the importance of agriculture in the economy of the region our study aims at analysing whether the grape producing activity affects some socio-economic indicators, namely the Theil index, the Human Development Index (HDI) and the unemployment rate over the period 2000-2010. The study is focused on the Northeastern states of Bahia and Pernambuco, two of the poorest and with the highest income inequality among Brazilian States and combines the Difference-in-Differences with the Propensity Score matching method at the municipality level. Results seem to indicate that grape growing plays an important role to guarantee a fairer income distribution. Indeed, the municipalities that grow grape experience a decrease in the level of Theil index by 11.7% compared to the level they would have if they had not participate in grape production. No effect has been found on the HDI and on the unemployment rate. Results are robust to the potential presence of an hidden bias according to the Rosenbaum sensitivity analysis.

Suggested Citation

  • Arata, Linda & Hauschild, Sofia & Sckokai, Paolo, 2018. "Economic and social impact of grape growing in Northeastern Brazil," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 6(3), May.
    • Handle: RePEc:ags:aieabj:276297
    DOI: 10.22004/ag.econ.276297
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    References listed on IDEAS

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    1. Linda Arata & Paolo Sckokai, 2016. "The Impact of Agri-environmental Schemes on Farm Performance in Five E.U. Member States: A DID-Matching Approach," Land Economics, University of Wisconsin Press, vol. 92(1), pages 167-186.
    2. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    3. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    4. Andrea Pufahl & Christoph R. Weiss, 2009. "Evaluating the effects of farm programmes: results from propensity score matching," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(1), pages 79-101, March.
    5. André Luis Squarize Chagas & Rudinei Toneto & Carlos Roberto Azzoni, 2012. "A Spatial Propensity Score Matching Evaluation of the Social Impacts of Sugarcane Growing on Municipalities in Brazil," International Regional Science Review, , vol. 35(1), pages 48-69, January.
    6. Teixeira, A.H. de C. & Bastiaanssen, W.G.M. & Bassoi, L.H., 2007. "Crop water parameters of irrigated wine and table grapes to support water productivity analysis in the Sao Francisco river basin, Brazil," Agricultural Water Management, Elsevier, vol. 94(1-3), pages 31-42, December.
    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. Weinhold, Diana & Killick, Evan & Reis, Eustáquio J., 2013. "Soybeans, Poverty and Inequality in the Brazilian Amazon," World Development, Elsevier, vol. 52(C), pages 132-143.
    9. DiPrete, Thomas A. & Gangl, Markus, 2004. "Assessing bias in the estimation of causal effects: Rosenbaum bounds on matching estimators and instrumental variables estimation with imperfect instruments," Discussion Papers, Research Unit: Labor Market Policy and Employment SP I 2004-101, WZB Berlin Social Science Center.
    10. Xiangping Liu & Lori Lynch, 2011. "Do Agricultural Land Preservation Programs Reduce Farmland Loss? Evidence from a Propensity Score Matching Estimator," Land Economics, University of Wisconsin Press, vol. 87(2), pages 183-201.
    11. Chad Lawley & Charles Towe, 2014. "Capitalized Costs of Habitat Conservation Easements," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(3), pages 657-672.
    12. Chihiro Udagawa & Ian Hodge & Mark Reader, 2014. "Farm Level Costs of Agri-environment Measures: The Impact of Entry Level Stewardship on Cereal Farm Incomes," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(1), pages 212-233, January.
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