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Using Satellite Images to Measure Crop Productivity: Long-Term Impact Assessment of a Randomized Technology Adoption Program in the Dominican Republic

Author

Listed:
  • Salazar, Lina
  • Palacios, Ana Claudia
  • Selvaraj, Michael
  • Montenegro, Frank

Abstract

This study combines three rounds of surveys with remote sensing to measure long-term impacts of a randomized irrigation program in the Dominican Republic. Specifically, Landsat 7 and Landsat 8 satellite images are used to measure the causal effects of the program on agricultural productivity, measured through vegetation indices (NDVI and OSAVI). To this end, 377 plots were analyzed (129 treated and 248 controls) for the period from 2011 to 2019. Following a Differencein-Differences (DD) and Event study methodology, the results confirmed that program beneficiaries have higher vegetation indices, and therefore experienced a higher productivity throughout the post-treatment period. Also, there is some evidence of spillover effects to neighboring farmers. Furthermore, the Event Study model shows that productivity impacts are obtained in the third year after the adoption takes place. These findings suggest that adoption of irrigation technologies can be a long and complex process that requires time to generate productivity impacts. In a more general sense, this study reveals the great potential that exists in combining field data with remote sensing information to assess long-term impacts of agricultural programs on agricultural productivity.

Suggested Citation

  • Salazar, Lina & Palacios, Ana Claudia & Selvaraj, Michael & Montenegro, Frank, 2021. "Using Satellite Images to Measure Crop Productivity: Long-Term Impact Assessment of a Randomized Technology Adoption Program in the Dominican Republic," IDB Publications (Working Papers) 11607, Inter-American Development Bank.
    • Handle: RePEc:idb:brikps:11607
    DOI: http://dx.doi.org/10.18235/0003604
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    Cited by:

    1. Aysegül Kayaoglu & Ghassan Baliki & Tilman Brück, 2023. "Conducting (Long-term) Impact Evaluations in Humanitarian and Conflict Settings: Evidence from a complex agricultural intervention in Syria," HiCN Working Papers 386, Households in Conflict Network.

    More about this item

    Keywords

    Irrigation; Remote Sensing; Impact Evaluation; Agriculture;
    All these keywords.

    JEL classification:

    • Q00 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - General

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