2012
DOI: 10.2139/ssrn.1988196
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The Spatial Dimension of Trade- and FDI-Driven Productivity Growth in Chinese Provinces: A Global Cointegration Approach

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 2 publications
(1 citation statement)
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“…In the present context of evaluating regional labor market response patterns, it is most natural, however, to take neighborhood conditions into account for parameter estimation. Recently, the combination of (panel) cointegration or error correction methods and spatial econometrics is attracting an increased interest in the applied and methodological literature (see, e.g., chapter 4.6 in Elhorst 2014; Beenstock and Felsenstein 2010; Marquez, Ramajo, and Hewings 2006, 2010; Mitze and Özyurt 2014). In the terminology of Beenstock and Felsenstein (2010), the ECM in (1) focusses on cointegration within panel units (“local” cointegration).…”
Section: The Spatial Regression Modelmentioning
confidence: 99%
“…In the present context of evaluating regional labor market response patterns, it is most natural, however, to take neighborhood conditions into account for parameter estimation. Recently, the combination of (panel) cointegration or error correction methods and spatial econometrics is attracting an increased interest in the applied and methodological literature (see, e.g., chapter 4.6 in Elhorst 2014; Beenstock and Felsenstein 2010; Marquez, Ramajo, and Hewings 2006, 2010; Mitze and Özyurt 2014). In the terminology of Beenstock and Felsenstein (2010), the ECM in (1) focusses on cointegration within panel units (“local” cointegration).…”
Section: The Spatial Regression Modelmentioning
confidence: 99%