2019
DOI: 10.1016/j.ecolecon.2019.02.014
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Estimating the benefits of adaptation to extreme climate events, focusing on nonmarket damages

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Cited by 5 publications
(4 citation statements)
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References 36 publications
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“…Therefore, they proposed an adaptive comprehensive evaluation method based on machine vision algorithm [11]. Hoffmann put forward a new scenic spot economic growth method based on Tourism Group trajectory analysis, which uses the deformed footprint map sequence to characterize the economic development of the tourism area on a large scale and realizes the determination of the optimal scheme in the process of tourism economic evaluation [12]. Through quantitative analysis of different scenic spots, Siddig and other scholars have made the regional tourism resources reach a state of near infinite saturation in the process of development.…”
Section: Related Workmentioning
confidence: 99%
“…Therefore, they proposed an adaptive comprehensive evaluation method based on machine vision algorithm [11]. Hoffmann put forward a new scenic spot economic growth method based on Tourism Group trajectory analysis, which uses the deformed footprint map sequence to characterize the economic development of the tourism area on a large scale and realizes the determination of the optimal scheme in the process of tourism economic evaluation [12]. Through quantitative analysis of different scenic spots, Siddig and other scholars have made the regional tourism resources reach a state of near infinite saturation in the process of development.…”
Section: Related Workmentioning
confidence: 99%
“…Many of these studies conclude that the introduced planned adaptation measures can mitigate the negative impact of climate change at low cost (Hoffmann, 2019; Robinson et al , 2012; Zeshan and Ko, 2019; Zeshan and Shakeel, 2020) or receive net benefits (Calzadilla et al , 2014; Nakajima et al , 2020; Schenker and Stephan, 2014). Some studies point out that the examined adaptation measures may not be sufficient to solve the problem although helpful (Akune et al , 2015; Arndt et al , 2015; Boyd and Ibarrarán, 2009; Elshennawy et al , 2016; Ouraich et al , 2019; Zidouemba, 2017).…”
Section: Review Findings and Discussionmentioning
confidence: 99%
“…The examined investments and funding for adaptation include agricultural sector investments (Arndt et al, 2015(Arndt et al, , 2011Bosello et al, 2018;Calzadilla et al, 2013Calzadilla et al, , 2014Elshennawy et al, 2016;Robinson et al, 2012;Zidouemba, 2017), funding of adaptation in developing regions (Ouraich and Tyner, 2018;Schenker and Stephan, 2014), coastal protection investments (Elshennawy et al, 2016;Parrado et al, 2020;Withey et al, 2016), decrease in investments in risky areas (Husby et al, 2016), utilization of insurance and catastrophic bonds (Thirawat et al, 2017), public investments in adaptation (Bachner et al, 2019;Hirte et al, 2018;Hoffmann, 2019;Hoffmann and Stephan, 2018) and adaptation measure of an artificial beach enhancement (Nakajima et al, 2020).…”
Section: How Adaptation Is Addressed In the Computable General Equili...mentioning
confidence: 99%
“…In order to effectively improve the accuracy of international trade, Peng et al realize the interconnection of economics and trade in different regions through the Internet of things technology and then realize the calibration and control of different types of databases with the help of data analysis strategy [ 10 ]. Aiming at the problem of low data utilization in the development of international trade, Hoffmann C and other scholars put forward an orthogonal decomposition matching adaptive model, which can effectively insert and guide different types of databases and realize high accuracy analysis of different trade data information [ 11 ]. Siddig and other scholars achieve high accuracy at different levels through serial interworking of various types of data [ 12 ].…”
Section: Related Workmentioning
confidence: 99%