2018
DOI: 10.2139/ssrn.3198783
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Optimal Public Investment in Economic Centers and the Periphery

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 1 publication
(8 citation statements)
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“…Our article fills the gap between the studies of agglomeration and market potential on firm-specific location decisions and studies that assess the impact of fiscal incentives. Following the model developed in Meurers and Moenius (2018), we investigate how market potential and fiscal incentives jointly determine firms’ location decisions. To do so, instead of individual firm’s location choice, we model the aggregate outcome of individual location choices.…”
Section: Literature Reviewmentioning
confidence: 99%
See 4 more Smart Citations
“…Our article fills the gap between the studies of agglomeration and market potential on firm-specific location decisions and studies that assess the impact of fiscal incentives. Following the model developed in Meurers and Moenius (2018), we investigate how market potential and fiscal incentives jointly determine firms’ location decisions. To do so, instead of individual firm’s location choice, we model the aggregate outcome of individual location choices.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In Meurers and Moenius (2018), a new economic geography model was developed based on the previous works of Fujita et al (2001), Krugman (1991), and Redding (2016). Instead of land, Meurers and Moenius used immobile labor as a locally fixed factor of production.…”
Section: Theoretical Backgroundmentioning
confidence: 99%
See 3 more Smart Citations