IDEAS home Printed from https://ideas.repec.org/p/ags/aiea17/261264.html
   My bibliography  Save this paper

Socio-economic impact of grape growing in North-eastern Brazil

Author

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

Abstract

In recent decades grape production has been developing in some municipalities in Northeastern Brazil as a well-organised, competitive and high value industry. Although so far a few municipalities are involved, the Northeastern viticultural industry has become a model for the whole Brazil and has been identified as a 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 seems 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, 2017. "Socio-economic impact of grape growing in North-eastern Brazil," 2017 Sixth AIEAA Conference, June 15-16, Piacenza, Italy 261264, Italian Association of Agricultural and Applied Economics (AIEAA).
  • Handle: RePEc:ags:aiea17:261264
    DOI: 10.22004/ag.econ.261264
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/261264/files/Arata_AIEAA_2017.pdf
    Download Restriction: no

    File URL: https://ageconsearch.umn.edu/record/261264/files/Arata_AIEAA_2017.pdf?subformat=pdfa
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.261264?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Cisilino, Federica & Bodini, Antonella & Zanoli, Agostina, 2019. "Rural development programs’ impact on environment: An ex-post evaluation of organic faming," Land Use Policy, Elsevier, vol. 85(C), pages 454-462.
    3. Arata, Linda & Sckokai, P., 2013. "Impact of Agri-environmental Schemes on Farm Performances in five EU Member States," 2013 Second Congress, June 6-7, 2013, Parma, Italy 149771, Italian Association of Agricultural and Applied Economics (AIEAA).
    4. Adewale H. Adenuga & Claire Jack & Austen Ashfield & Michael Wallace, 2021. "Assessing the Impact of Participatory Extension Programme Membership on Farm Business Performance in Northern Ireland," Agriculture, MDPI, vol. 11(10), pages 1-12, September.
    5. Riccardo D’Alberto & Matteo Zavalloni & Meri Raggi & Davide Viaggi, 2018. "AES Impact Evaluation With Integrated Farm Data: Combining Statistical Matching and Propensity Score Matching," Sustainability, MDPI, vol. 10(11), pages 1-24, November.
    6. Escobar Jaramillo, Diana & Arata, Linda & Mausch, Kai & Sckokai, Paolo & Fasse, Anja & Rommel, Jens & Chopin, Pierre, 2024. "Linking innovations adoption with farm sustainability: Empirical evidence from rainwater harvesting and fertilizer micro-dosing in Tanzania," World Development, Elsevier, vol. 183(C).
    7. Cristina SALVIONI & Dario SCIULLI, 2018. "Rural development policy in Italy: the impact of growth-oriented measures on farm outcomes," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(3), pages 115-130.
    8. Michalek, Jerzy, 2022. "Environmental and farm impacts of the EU RDP agri-environmental measures: Evidence from Slovak regions," Land Use Policy, Elsevier, vol. 113(C).
    9. Uehleke, Reinhard & Petrick, Martin & Hüttel, Silke, 2022. "Evaluations of agri-environmental schemes based on observational farm data: The importance of covariate selection," Land Use Policy, Elsevier, vol. 114(C).
    10. Claassen, Roger & Duquette, Eric, 2012. "Additionality in U.S. Agricultural Conservation Programs A Preliminary Analysis of New Data," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124721, Agricultural and Applied Economics Association.
    11. Schilling, Brian J. & Attavanich, Witsanu & Sullivan, Kevin P. & Marxen, Lucas J., 2014. "Measuring the effect of farmland preservation on farm profitability," MPRA Paper 100122, University Library of Munich, Germany, revised Jun 2014.
    12. Sánchez-Braza, Antonio & Pablo-Romero, María del P., 2014. "Evaluation of property tax bonus to promote solar thermal systems in Andalusia (Spain)," Energy Policy, Elsevier, vol. 67(C), pages 832-843.
    13. Adenuga, Adewale H. & Jack, Claire & Ashfield, Austen & Wallace, Michael, 2021. "Estimating the impact of membership of participatory extension programme across different enterprise groups: a conditional difference-in-differences approach," 95th Annual Conference, March 29-30, 2021, Warwick, UK (Hybrid) 311082, Agricultural Economics Society - AES.
    14. Liebenehm, S. & Affognon, H. & Waibel, H., 2010. "Assessing the impact of agricultural research on cattle farmers’ knowledge about African animal trypanosomosis: an application of the propensity score matching approach," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 45, March.
    15. Claassen, Roger & Savage, Jeff & Loesch, Chuck & Breneman, Vince & Williams, Ryan & Mulvaney, Bill & Fairbanks, Tammy, 2017. "Additionality in Grassland Easements to Provide Migratory Bird Habitat in the Northern Plains," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 42(3), September.
    16. Kuhfuss, Laure & Subervie, Julie, 2018. "Do European Agri-environment Measures Help Reduce Herbicide Use? Evidence From Viticulture in France," Ecological Economics, Elsevier, vol. 149(C), pages 202-211.
    17. Ito, Junichi & Feuer, Hart N. & Kitano, Shinichi & Asahi, Haruka, 2019. "Assessing the effectiveness of Japan's community-based direct payment scheme for hilly and mountainous areas," Ecological Economics, Elsevier, vol. 160(C), pages 62-75.
    18. Claassen, Roger & Duquette, Eric & Horowitz, John & Kohei, Ueda, 2014. "Additionality in U.S. Agricultural Conservation and Regulatory Offset Programs," Economic Research Report 180414, United States Department of Agriculture, Economic Research Service.
    19. Erhardt, Eva Christine, 2017. "Microfinance beyond self-employment: Evidence for firms in Bulgaria," Labour Economics, Elsevier, vol. 47(C), pages 75-95.
    20. Roberto ESPOSTI, 2014. "To match, not to match, how to match: Estimating the farm-level impact of the CAP-first pillar reform (or: How to Apply Treatment-Effect Econometrics when the Real World is;a Mess)," Working Papers 403, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aiea17:261264. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aieaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.