Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/9531
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dc.contributor.authorDr. WOO Kai Yinen_US
dc.contributor.authorDr. LEE Shu Kamen_US
dc.date.accessioned2024-04-20T07:33:32Z-
dc.date.available2024-04-20T07:33:32Z-
dc.date.issued2021-
dc.identifier.citationWoo, K. Y., & Lee, S. K. (2021 Mar 24). Evidence of price convergence within the greater bay area in China using nonparametric tests. The International Conference of Evolution of Digital Entrepreneurship, FinTech and FinReg, Hong Kong Shue Yan University.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.11861/9531-
dc.description.abstractOur paper focuses upon empirical study on the extent of goods market integration within the Greater Bay Area (GBA). Purchasing power parity (PPP) implies a high degree of goods market integration in the economies under examination, which are recognized as necessary conditions for the imminent formation of an integrated city cluster and even the closer economic integration in the future. The existence of PPP relationships is a prerequisite for a high probability of success in developing the GBA into a tightly knit world-class city cluster in the longer term. This paper examines the PPP within the GBA from July 2012 to December 2019. Since the PPP long-run relationships may not be exact or linear, we adopt the non-parametric rank tests for analysis which do not require prior knowledge and specification of the linear or nonlinear functional form. Our results validate the PPP in the long run with limited evidence of nonlinearity in the data.en_US
dc.language.isoenen_US
dc.titleEvidence of price convergence within the greater bay area in China using nonparametric testsen_US
dc.typeConference Paperen_US
dc.relation.conferenceThe International Conference of Evolution of Digital Entrepreneurship, FinTech and FinRegen_US
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Economics and Finance-
crisitem.author.deptDepartment of Economics and Finance-
Appears in Collections:Economics and Finance - Publication
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