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Effective Targeting and Additionality: Evaluating the D.L. 701 Reforms for Afforesting Erodible Land in Southern Chile

Author

Listed:
  • Mario Niklitschek
  • Rodrigo Labbé
  • Rosa María Alzamora
  • Felipe Vásquez

Abstract

We analyze the targeting and additionality of the Chilean afforestation program reforms implemented in the mid-1990s. Propensity score matching estimates are obtained by potential erosion categories using random area sample data. The additional afforestation percentage is estimated to be larger for none or low and very severe categories of potential erosion parcels. Even though the program helped maintain forest cover to highly erodible land, afforested parcels with high opportunity costs and possible negative amenity benefits are also attributed to the program. To improve the cost-effectiveness and to avoid misallocation of land and water resources, more effective targeting is required.

Suggested Citation

  • Mario Niklitschek & Rodrigo Labbé & Rosa María Alzamora & Felipe Vásquez, 2021. "Effective Targeting and Additionality: Evaluating the D.L. 701 Reforms for Afforesting Erodible Land in Southern Chile," Land Economics, University of Wisconsin Press, vol. 97(4), pages 745-767.
    • Handle: RePEc:uwp:landec:v:97:y:2021:i:4:p:745-767
    Note: DOI: 10.3368/le.97.4.011520-0003R2
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    Cited by:

    1. España, F. & Arriagada, R. & Melo, O. & Foster, W., 2022. "Forest plantation subsidies: Impact evaluation of the Chilean case," Forest Policy and Economics, Elsevier, vol. 137(C).
    2. Radek Rinn & Vilém Jarský, 2022. "Analysis of Financial Support for Forestry in the Czech Republic from the Perspective of Forest Bioeconomy," Sustainability, MDPI, vol. 14(23), pages 1-25, November.

    More about this item

    JEL classification:

    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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