2013
DOI: 10.1007/s10101-013-0125-2
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Public sector corruption and the probability of technological disasters

Abstract: 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… Show more

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Cited by 10 publications
(10 citation statements)
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“…In many cases, the occurrence of a disaster is inevitable. 18 Likewise, subsequent injuries from the disaster are also common and sometimes out of control. 19 In addition, regarding the vitality of disaster prevention arrangements, it is very important to prepare for meeting requirements during the incident.…”
Section: Discussionmentioning
confidence: 99%
“…In many cases, the occurrence of a disaster is inevitable. 18 Likewise, subsequent injuries from the disaster are also common and sometimes out of control. 19 In addition, regarding the vitality of disaster prevention arrangements, it is very important to prepare for meeting requirements during the incident.…”
Section: Discussionmentioning
confidence: 99%
“…In this case, it is necessary to estimate using an instrumental variable (IV). Yamamura [62] notes that when analyzing count data with over-dispersion, the IV negative binomial model has not yet been developed and the IV Poisson model should be used. I use the IV Poisson GMM model proposed by Mullahy [63].…”
Section: Modelsmentioning
confidence: 99%
“…For instance, some money earmarked for reconstruction work was spent improperly on projects to improve the earthquake resistance in buildings of the central government's 1 In particular, after entering the 21st century, a growing number of researchers are attempting to investigate the impact of natural disasters on economic growth (Skidmore & Toya 2002;Strobl 2011), death toll (e.g., Anbarci et al 2005;Kahn 2005;Toya & Skidmore 2007), and trust (Skidmore & Toya 2013). 2 Public sector corruption is also observed to increase the frequency of technological disasters (Yamamura 2013). 3 In part, because of the limitations of data on corruption, there are few empirical analyses of corruption before the 1990s, although a number of classical anecdotal and theoretical research works existed (Leff 1964;Lui 1985;Shleifer & Vishny 1993;Jain 2001).…”
Section: Introductionmentioning
confidence: 99%
“…Hypotheses 2.1. Overview of types of natural disaster This paper uses country-level panel data generally used in previous works (e.g., Anbarci et al 2006;Skidmore & Toya 2013;Yamamura 2013). As will be explained later, the number of natural disasters in each country was sourced from EM-DAT (Emergency Events Database).…”
Section: Introductionmentioning
confidence: 99%