The impact of shoreline stabilization on economic growth in small island developing states

Corral, Leonardo; Schling, Maja

doi:10.1016/j.jeem.2017.06.001

Cited by 15 publications

(17 citation statements)

References 36 publications

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“…. Empirical approaches for estimating the economic impacts of disasters could also be improved by making use of advances in remote sensing and the dissemination of GIS data products, such as weather records that measure local physical characteristics of disasters, and local measurements of economic activity that use satellite imagery (see, e.g., Corral and Schling 2017). This would allow for a more reliable estimation of the local impacts of disasters.…”

Section: Directions For Future Researchmentioning

confidence: 99%

The Economic Impacts of Natural Disasters: A Review of Models and Empirical Studies

Botzen

Deschênes²,

Sanders³

2019

Review of Environmental Economics and Policy

380

157

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Economic losses from natural disasters have been increasing in recent decades. This has been attributed mainly to population and economic growth in disaster-prone areas. Future natural disaster losses are expected to increase due to a continued increase in economic exposure and climate change. This highlights the importance of designing policies that can mitigate the impacts of these disasters on the economy and society. A rapidly expanding literature has estimated the direct (e.g., property damage) and indirect (e.g., gross domestic product growth, trade) economic impacts of natural disasters. This article reviews this emerging literature. We synthesize the main theoretical, computational, and empirical methods used, summarize key findings on the economic impacts of natural disasters, and discuss factors that have been found to mitigate disaster impacts. We conclude by identifying lessons for policymakers and outlining an agenda for future research in this field.

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Section: Directions For Future Researchmentioning

confidence: 99%

The Economic Impacts of Natural Disasters: A Review of Models and Empirical Studies

Botzen

Deschênes²,

Sanders³

2019

Review of Environmental Economics and Policy

380

157

View full text Add to dashboard Cite

show abstract

“…Several of the studies in Table 3 use observations for small spatial units, such as the grid over North Korea of 2.6 km 2 used by Lee (2018) or the sub-district level in Aceh used by Heger and Neumayer (2019). Yet, despite the code for the deblurring procedure of Abrahams et al (2018) being freely available since 2015, it is used by just one study in Table 3 with very small spatial units--the beach-level study by Corral and Schling (2017). Whether results for other studies based on small geographic units would change if researchers used deblurred data, or used the even more spatially precise and accurate VIIRS data, remains an open question.…”

Section: Some Uses Of Night Lights Data In Economicsmentioning

confidence: 99%

NIGHT LIGHTS IN ECONOMICS: SOURCES AND USES¹

Gibson

Olivia

Boe‐Gibson

2020

Journal of Economic Surveys

116

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Night lights, as detected by satellites, are increasingly used by economists, typically as a proxy for economic activity. The growing popularity of these data reflects either the absence, or the presumed inaccuracy, of more conventional economic statistics, like national or regional GDP. Further growth in use of night lights is likely, as they have been included in the AidData geoquery tool for providing subnational data, and in geographic data that the Demographic and Health Survey links to anonymized survey enumeration areas. Yet, this ease of obtaining night lights data may lead to inappropriate use, if users fail to recognize that most of the satellites providing these data were not designed to assist economists, and have features that may threaten validity of analyses based on these data, especially for temporal comparisons, and for small and rural areas. In this paper, we review sources of satellite data on night lights, discuss issues with these data, and survey some of their uses in economics.

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“…Regarding this issue, Abrahams et al (2016) argue that blurring occurs due to the on-board optics of satellites, because the sensor scans the earth's surface in elliptical areas, but ascribes the observed light to smaller, square-shaped pixels. To understand how overglow is generated, the authors rely on detailed information about the satellite's altitude, the radius of its optics, and its location above the Earth's surface on any given night to recreate the geometry of the satellite's data collection process and ultimately remove all overglow effects from the luminosity data (Corral and Schling, 2017). They develop a deblurring methodology, which is a partially statistical algorithm that corrects this bias to obtain a more appropriate approximation of true luminosity values.…”

Section: Transformations Of Night-light Luminosity Datamentioning

confidence: 99%

“…Despite the increased popularity of satellite imagery in recent research applications, there are almost no studies oriented to study the impact of interventions using luminosity data in the LAC region and none in the transport sector. The only study in the LAC region that has used this data is Corral and Schling (2017) that applies synthetic control methods to show that shoreline stabilization investments have beneficial medium-term effects in economic growth in Barbados. Our aim with this work is not only to evaluate for the first time the impacts of road investments in Haiti and in LAC, but to showcase how non-traditional sources of data may be more widely used for impact evaluation in transport and in areas where access to information may be a limitation.…”

Section: Introductionmentioning

confidence: 99%

Bright Investments: Measuring the Impact of Transport Infrastructure Using Luminosity Data in Haiti

Mitnik¹,

Sánchez²,

Yañez³

2018

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. work is licensed under a Creative Commons IGO 3.0 Attribution-NonCommercial-NoDerivatives (CC-IGO BY-NC-ND 3.0 IGO) license (http://creativecommons.org/licenses/by-nc-nd/3.0/igo/ legalcode) and may be reproduced with attribution to the IDB and for any non-commercial purpose, as provided below. No derivative work is allowed.Any dispute related to the use of the works of the IDB that cannot be settled amicably shall be submitted to arbitration pursuant to the UNCITRAL rules. The use of the IDB's name for any purpose other than for attribution, and the use of IDB's logo shall be subject to a separate written license agreement between the IDB and the user and is not authorized as part of this CC-IGO license. AbstractThis paper quantifies the impacts of transport infrastructure investments on economic activity in Haiti, using satellite night-light luminosity as a proxy measure. Our identification strategy exploits the differential timing of rehabilitation projects across various road segments of the primary road network. We combine multiple sources of non-traditional data and carefully address concerns related to unobserved heterogeneity. The results obtained across multiple specifications consistently indicate that receiving a road rehabilitation project leads to an increase in luminosity values of between 6% and 26% at the communal section level. Taking into account the national level elasticity between luminosity values and GDP, we approximate that these interventions translate into communal section-GDP increases of between 0.5% and 2.1%, for communal sections benefited by a transport infrastructure project. We observe temporal and spatial variation in results, and crucially that the larger impacts appear once projects are completed and are concentrated within 2 km buffers around the intervened roads. Neither the richest or the poorest communities reap the benefits from road improvements, with gains accruing to those in the middle of the ranking of communal sections, based on unsatisfied basic needs. Our findings provide novel evidence on the role of transport investments in promoting economic activity in developing countries.

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The impact of shoreline stabilization on economic growth in small island developing states

Cited by 15 publications

References 36 publications

The Economic Impacts of Natural Disasters: A Review of Models and Empirical Studies

The Economic Impacts of Natural Disasters: A Review of Models and Empirical Studies

NIGHT LIGHTS IN ECONOMICS: SOURCES AND USES¹

Bright Investments: Measuring the Impact of Transport Infrastructure Using Luminosity Data in Haiti

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The impact of shoreline stabilization on economic growth in small island developing states

Cited by 15 publications

References 36 publications

The Economic Impacts of Natural Disasters: A Review of Models and Empirical Studies

The Economic Impacts of Natural Disasters: A Review of Models and Empirical Studies

NIGHT LIGHTS IN ECONOMICS: SOURCES AND USES1

Bright Investments: Measuring the Impact of Transport Infrastructure Using Luminosity Data in Haiti

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Product

Resources

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NIGHT LIGHTS IN ECONOMICS: SOURCES AND USES¹