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https://dx.doi.org/10.22004/ag...
Other literature type . 2011
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Cointegration Analysis on the Relation between Urbanization and Economic Growth in China

Authors: Liu, Ai-Ying; Yao, Li-Fen; Li, Qing-Chen; Liu, Ai-Ying; Yao, Li-Fen; Li, Qing-Chen;

Cointegration Analysis on the Relation between Urbanization and Economic Growth in China

Abstract

This paper utilizes cointegration theory, error correcting model and Granger causality testing theory to make an empirical research on the relation between urbanization and GDP in China, and also implements a comparative analysis to the relation between three industries and degree of urbanization, the related coeffecient is 0.97, 0.95, 0.97, 0.97. And the result shows a long-term balance between these two factors, and the promoting effect to tertiary industry by urbanization is more obvious. Urbanization and economic growth are the long-term balanced relations. In the long-term balance, every 1% increment of urbanization can make 4.82% increment of GDP; In short-term balance, if the balance depart from the long-term balance at the i-th term, the model will take automatic reversal adjustment with -0.06 adjusting strength at the (i+1)th term, to make it move to the long-term balance. The economic growth onto urbanization is one-way causality relationship, the primary and secondary industry onto urbanization is also one-way causality relationship. However, the tertiary industry onto urbanization is both-way causality relationship.

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Keywords

China, Error correction model, Urbanization, Cointegration test, Agribusiness, Economic growth, Urbanization, Cointegration test, Error correction model, China, Agribusiness,, Economic growth

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average