Government digital information discovery and exploration: the case of unraveling tourism-led-growth paradox in China

Maxwell K. Hsu, Junzhou Zhang, Yamin Ahmad

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Purpose: This study aims to examine the relationship between tourism development and economic growth while considering exports simultaneously. Governments in many countries have been developing and deploying strategies to attract tourism receipts as a means for economic growth. However, assessing the potential impact of tourism on economic growth among large economies is still in its infancy. Design/methodology/approach: Using a vector error correction model framework, this study examines the relationship among exports, gross domestic product (GDP) and tourism receipts (including international tourism receipts and domestic tourism receipts in two separate models) with macro data that covers two recent decades (1994-2013) in China. Findings: The empirical findings confirm the existence of a long-term equilibrium relationship in each of these two tri-variate models. The empirical findings reveal that (1) both tourism-led-growth and export-led-growth hypotheses are supported, (2) the growth rate of tourism receipts exhibit a higher relevance with GDP growth than export growth and (3) the growth rate of international tourism shows a higher relevance with GDP growth than domestic tourism growth. Originality/value: Using macroeconomic data collected by the Chinese government, the current study employs an advanced econometric methodology to explore the potential benefits of tourism on economic growth in China.

Original languageEnglish
Pages (from-to)212-219
Number of pages8
JournalInformation Discovery and Delivery
Volume45
Issue number4
DOIs
StatePublished - 2017

Keywords

  • China
  • Export-led-growth
  • Government digital information
  • Information search
  • Tourism-led-growth
  • Vector error correction model

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