Iclem 2010 2010
DOI: 10.1061/41139(387)86
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The Relationship between Regional Logistics and Economic Growth Based on Panel Data

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Cited by 5 publications
(3 citation statements)
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“…The first step is to test the stationarity of the data by using the panel unit roots test. Then to avoid spurious regressions, we perform a co-integration test for the long-run equilibrium relationship between variables (Yuan and Kuang, 2010). Panel cointegration allows for heterogeneity and reduces variables' collinearity compared to traditional co-integration analysis (Mahadevan and Asafu-Adjaye, 2007).…”
Section: Resultsmentioning
confidence: 99%
“…The first step is to test the stationarity of the data by using the panel unit roots test. Then to avoid spurious regressions, we perform a co-integration test for the long-run equilibrium relationship between variables (Yuan and Kuang, 2010). Panel cointegration allows for heterogeneity and reduces variables' collinearity compared to traditional co-integration analysis (Mahadevan and Asafu-Adjaye, 2007).…”
Section: Resultsmentioning
confidence: 99%
“…The development of logistics plays a serious integrating role in the modern economy, expanding the transport capabilities of regions; reducing costs; increasing the speed, safety, quality and efficiency of transport and logistics services; and creating conditions for increasing the added value of produced and transported goods and services, which, ultimately, contributes to the growth of global economic efficiency. The significant influence of logistics on regional development is revealed in numerous studies covering different regions of the world: OECD countries [3,4], the USA [5], China [6][7][8][9], and others. However, the integration processes are developing at different rates in different countries and sectors of the economy [10].…”
Section: Literature Reviewmentioning
confidence: 99%
“…It was concluded that logistics industry played a significant role in economic growth. Yuan and Kuang (2010) investigated eastern, central and western regions in China. They used panel data analysis.…”
Section: Literature Reviewmentioning
confidence: 99%