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  1. Using satellite images to measure crop productivity
    long-term impact assessment of a randomized technology adoption program in the Dominican Republic
    Autor*in: Salazar, Lina; Palacios, Ana Claudia; Selvaraj, Michael; Montenegro, Frank
    Erschienen: September 2021
    Verlag:  Inter-American Development Bank, Environment, Rural Development and Disaster Risk Management Division, [Washington, DC]

    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... mehr

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    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.

     
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/252357
    Schriftenreihe: IDB working paper series ; no IDB-WP-01234
    Schlagworte: Irrigation; Remote Sensing; Impact Evaluation; Agriculture
    Umfang: 1 Online-Ressource (circa 49 Seiten), Illustrationen
  2. Monitoring war destruction from space using machine learning
    Autor*in: Mueller, Hannes; Gröger, André; Hersh, Jonathan; Matranga, Andrea; Serrat, Joan
    Erschienen: May 2021
    Verlag:  GSE, Graduate School of Economics, Barcelona

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    Format: Online
    Schriftenreihe: Barcelona GSE working paper series ; no 1257
    Schlagworte: Conflict; Destruction; Deep Learning; Remote Sensing; Syria
    Umfang: 1 Online-Ressource (circa 14 Seiten), Illustrationen
  3. EU cohesion policy on the ground
    analyzing small-scale effects using satellite data
    Autor*in: Bachtrögler, Julia; Dolls, Mathias; Krolage, Carla; Schüle, Paul; Taubenböck, Hannes; Weigand, Matthias Johann
    Erschienen: November 2022
    Verlag:  Österreichisches Institut für Wirtschaftsforschung, Wien

    We present a novel approach for analyzing the effects of EU cohesion policy on local economic activity. For all municipalities in the border area of the Czech Republic, Germany and Poland, we collect project-level data on EU funding in the period... mehr

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    We present a novel approach for analyzing the effects of EU cohesion policy on local economic activity. For all municipalities in the border area of the Czech Republic, Germany and Poland, we collect project-level data on EU funding in the period between 2007 and 2013. Using night light emission data as a proxy for economic development, we show that the receipt of a higher amount of EU funding is associated with increased economic activity at the municipal level. Our paper demonstrates that remote sensing data can provide an effective way to model local economic development also in Europe, where no comprehensive cross-border data is available at such a spatially granular level.

     
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    hdl: 10419/267719
    Schriftenreihe: WIFO working papers ; 653 (2022)
    Schlagworte: Regional Development; EU Cohesion Policy; Remote Sensing
    Umfang: 1 Online-Ressource (circa 34 Seiten), Illustrationen
  4. Man vs. machine
    technological promise and political limits of automated regulation enforcement
    Autor*in: Browne, Oliver R.; Gazze, Ludovica; Greenstone, Michael; Rostapshova, Olga
    Erschienen: [2022]
    Verlag:  University of Warwick, Department of Economics, Coventry, United Kingdom

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    Schriftenreihe: Warwick economics research papers ; no: 1440 (November 2022)
    Schlagworte: Wasserversorgung; Wasserpreis; Rechtsdurchsetzung; Automatisierung; Konsumentenverhalten; Feldforschung; Kalifornien; Field Experiment; Automated Enforcement; Remote Sensing; Water Conservatio
    Umfang: 1 Online-Ressource (circa 44 Seiten)
  5. Investigating social inequality of urban green space distribution using Sentinel-2
    the case of Vienna
    Autor*in: Wimmer, Lorenz; Maus, Victor; Luckeneder, Sebastian
    Erschienen: [2023]
    Verlag:  WU Vienna, Institute for Ecological Economics, Vienna

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    Schriftenreihe: Working paper series / Institute for Ecological Economics, Vienna University of Economics and Business ; 46 (2023)
    Schlagworte: Remote Sensing; Foreigners; NDVI; Environmental Inequality; Spatial Regression; Socioeconomics
    Umfang: 1 Online-Ressource (circa 36 Seiten), Illustrationen
  6. Estimating the long-term effects of a fruit fly eradication program using satellite imagery
    Autor*in: Salazar, Lina; Agurto Adrianzén, Marcos; Alvarez, Luis
    Erschienen: August 2023
    Verlag:  Inter-American Development Bank, Climate Change Division, [Washington, DC]

    This analysis applies a regression discontinuity approach combined with remote sensing data to measure the productivity impacts linked to a fruit-fly eradication program, implemented in Peru. For this purpose, satellite imagery was used to estimate a... mehr

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    This analysis applies a regression discontinuity approach combined with remote sensing data to measure the productivity impacts linked to a fruit-fly eradication program, implemented in Peru. For this purpose, satellite imagery was used to estimate a vegetation index over a 10-year span for a sample of 305 producers -155 treated and 150 controls-. The results confirmed that program participation increased agricultural productivity in the short and long terms, in a range from 12% to 49%. However, quantile regression methods suggest that most productive farmers were able to obtain greater impacts.

     
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    Schriftenreihe: IDB working paper series ; no IDB-WP-01504
    Schlagworte: Agricultural Productivity; Impact Evaluation; Remote Sensing; Satellite Images; Peru
    Umfang: 1 Online-Ressource (circa 24 Seiten), Illustrationen
  7. The impact of smart subsidies on agricultural production
    innovative evidence from Argentina using survey and remote sensing data
    Autor*in: Schling, Maja; Pazos, Nicolás
    Erschienen: July 2022
    Verlag:  Inter-American Development Bank, Department of Research and Chief Economist, [Washington, DC]

    This study assesses the impact of the Program for Rural Development and Family Agriculture (PRODAF), a smart subsidies project that benefited the family farming stratum in northeastern Argentina. The evaluation draws on two complementary data... mehr

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    This study assesses the impact of the Program for Rural Development and Family Agriculture (PRODAF), a smart subsidies project that benefited the family farming stratum in northeastern Argentina. The evaluation draws on two complementary data sources. The first is a survey of agricultural households with a sample of 898 farmers (534 treated and 364 control) conducted after the end of the project. The second uses plot georeferencing to measure agricultural yields with satellite data for a subsample of 195 farmers over a 10-year period. Using the inverse probability weighting methodology, we find that PRODAF increased the technology adoption rate by 21 percentage points, and increased access to credit by 47 percentage points. Overcoming these barriers enabled the beneficiary farmers to increase the value of their sales and net income, although impacts varied among the four prioritized chains. In contrast, the analysis only detected a significant impact on yields for the citrus chain, which may be due to the type of technology adopted in this chain. Finally, we construct the Normalized Difference Vegetation Index (NDVI) to estimate productivity in the cotton and citrus chains. Applying the event study method, we confirm that technology adoption is a complex process whose full impact on yields only materializes between the second and third year post-treatment. We additionally confirm that the use of satellite data is an effective tool that accurately estimates yield changes and can be used to monitor and assess this type of intervention in real time and at a low cost.

     
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    Quelle: Verbundkataloge
    Sprache: Englisch
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    Weitere Identifier:
    hdl: 10419/290030
    Schriftenreihe: IDB working paper series ; no IDB-WP-01358
    Schlagworte: Technology Adoption; Productivity; Remote Sensing; Impact Evaluation; Argentina
    Umfang: 1 Online-Ressource (circa 54 Seiten), Illustrationen