IDEAS home Printed from https://ideas.repec.org/p/ags/iaae18/277284.html
   My bibliography  Save this paper

Hidden Welfare Effects of Tree Plantations

Author

Listed:
  • Anriquez, G.
  • Toledo, G.
  • Arriagada, R.

Abstract

Subsidies to promote tree plantations have been recently questioned because of potential negative social and environmental impact of the forestry industry. Quantitative evidence on the socioeconomic causal impacts of afforestation subsidies or of tree plantations is elusive, mainly due to data scarcity. We assess the overall impact of such a subsidy in Chile by using an original 20 years panel data set that includes small area estimates of poverty and relate it to the subsidy assignment at census-district scale. We show, with a battery of impact evaluation techniques, that forestry subsidies -on average- do, in fact, increase poverty. More specifically, using difference in difference with matching techniques, and instrumental variable approaches we show that there is an increment of about 2% in the poverty rate of treated (with subsidized tree plantations) localities. We also identify a causal mechanism by which tree plantations induce higher poverty, which is a negative effect on employment. Our research indicates the existence of negative welfare effects of the afforestation subsidy on local populations suggesting a reassessment of the distributional effects of the subsidy and the industry. Acknowledgement :

Suggested Citation

  • Anriquez, G. & Toledo, G. & Arriagada, R., 2018. "Hidden Welfare Effects of Tree Plantations," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277284, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae18:277284
    DOI: 10.22004/ag.econ.277284
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/277284/files/1550.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.277284?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. James J. Heckman & Sergio Urzua & Edward Vytlacil, 2006. "Understanding Instrumental Variables in Models with Essential Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 389-432, August.
    2. Sunderlin, William D. & Dewi, Sonya & Puntodewo, Atie & Müller, Daniel & Angelsen, Arild & Epprecht, Michael, 2008. "Why forests are important for global poverty alleviation: A spatial explanation," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 13(2).
    3. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    4. Cragg, John G. & Donald, Stephen G., 1993. "Testing Identifiability and Specification in Instrumental Variable Models," Econometric Theory, Cambridge University Press, vol. 9(2), pages 222-240, April.
    5. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    6. Suich, Helen & Howe, Caroline & Mace, Georgina, 2015. "Ecosystem services and poverty alleviation: A review of the empirical links," Ecosystem Services, Elsevier, vol. 12(C), pages 137-147.
    7. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bopp, Carlos & Engler, Alejandra & Jara-Rojas, Roberto & Arriagada, Rodrigo, 2020. "Are forest plantation subsidies affecting land use change and off-farm income? A farm-level analysis of Chilean small forest landowners," Land Use Policy, Elsevier, vol. 91(C).

    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. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    2. Naureen Fatema & Shahriar Kibriya, 2018. "Givers of great dinners know few enemies: The impact of household food sufficiency and food sharing on low intensity interhousehold and community conflict in Eastern Democratic Republic of Congo," HiCN Working Papers 267, Households in Conflict Network.
    3. Karim Chalak & Halbert White, 2011. "Viewpoint: An extended class of instrumental variables for the estimation of causal effects," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 44(1), pages 1-51, February.
    4. Chad D. Meyerhoefer & Muzhe Yang, 2011. "The Relationship between Food Assistance and Health: A Review of the Literature and Empirical Strategies for Identifying Program Effects," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 33(3), pages 304-344.
    5. Lingli Xu & Liang Wang & Christian Nygaard, 2022. "Locational decisions and subjective well-being: an empirical study of Chinese urban migrants," Applied Economics, Taylor & Francis Journals, vol. 54(27), pages 3180-3195, June.
    6. James J. Heckman, 2008. "The Principles Underlying Evaluation Estimators with an Application to Matching," Annals of Economics and Statistics, GENES, issue 91-92, pages 9-73.
    7. Zeqin Liu & Zongwu Cai & Ying Fang & Ming Lin, 2019. "Statistical Analysis and Evaluation of Macroeconomic Policies: A Selective Review," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201904, University of Kansas, Department of Economics, revised Mar 2019.
    8. Emiliano Magrini & Pierluigi Montalbano & Silvia Nenci & Luca Salvatici, 2017. "Agricultural (Dis)Incentives and Food Security: Is There a Link?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(4), pages 847-871.
    9. Arthur Lewbel, 2019. "The Identification Zoo: Meanings of Identification in Econometrics," Journal of Economic Literature, American Economic Association, vol. 57(4), pages 835-903, December.
    10. María José Ibáñez & Felipe Vásquez Lavin & Roberto D. Ponce Oliva, 2023. "Female Underperformance Hypothesis Revisited: Methodological Review and Empirical Testing," SAGE Open, , vol. 13(4), pages 21582440231, December.
    11. Słoczyński, Tymon, 2012. "New Evidence on Linear Regression and Treatment Effect Heterogeneity," MPRA Paper 39524, University Library of Munich, Germany.
    12. Heckman, James J., 2010. "The Assumptions Underlying Evaluation Estimators," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 30(2), December.
    13. Lucija Muehlenbachs & Elisheba Spiller & Christopher Timmins, 2015. "The Housing Market Impacts of Shale Gas Development," American Economic Review, American Economic Association, vol. 105(12), pages 3633-3659, December.
    14. Qiangmin, XI & Peng, JI, 2023. "Does the development zone promote population urbanization? Evidence from China," Land Use Policy, Elsevier, vol. 131(C).
    15. Kitagawa, Toru & Muris, Chris, 2016. "Model averaging in semiparametric estimation of treatment effects," Journal of Econometrics, Elsevier, vol. 193(1), pages 271-289.
    16. Rajeev Dehejia, 2013. "The Porous Dialectic: Experimental and Non-Experimental Methods in Development Economics," WIDER Working Paper Series wp-2013-011, World Institute for Development Economic Research (UNU-WIDER).
    17. Roberto Cominetti & Juan Diaz & Jorge Rivera, 2014. "Large sample properties of an optimization-based matching estimator," Working Papers wp389, University of Chile, Department of Economics.
    18. Susan Athey & Guido W. Imbens & Stefan Wager, 2018. "Approximate residual balancing: debiased inference of average treatment effects in high dimensions," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 80(4), pages 597-623, September.
    19. Nitzan Tzur-Ilan, 2017. "The Effect of Credit Constraints on Housing Choices: The Case of LTV limit," Bank of Israel Working Papers 2017.03, Bank of Israel.
    20. Apps, Patricia & Mendolia, Silvia & Walker, Ian, 2013. "The impact of pre-school on adolescents’ outcomes: Evidence from a recent English cohort," Economics of Education Review, Elsevier, vol. 37(C), pages 183-199.

    More about this item

    Keywords

    Crop Production/Industries;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:iaae18:277284. 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/iaaeeea.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.