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A New Method for Measuring the Economic Convergence and Its Application on Central China Provinces

Bibliographic Data

ID15066643
AuthorsMalin Song (0000-0001-6640-4225, Anhui University), Shuhong Wang (0000-0002-9585-4839), Wei Liu (0000-0002-5949-0302), Liu Wei (0000-0001-6280-0407, East China University of Political Science and Law)
Year2012
Volume25
Issue4
Pages925-936
Publication date2012-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEconomic Research-Ekonomska Istraživanja (JOURNAL)
Journal identifiersISSN: 1331-677X • E-ISSN: 1848-9664
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/1331677x.2012.11517539
OpenAlexW174071492
LanguageEN
References cited4

In order to solve the shortcomings of classical convergence analysis and spatial econometric analysis, this paper proposes a delta statistics method to assess economic growth convergence of central China cities. The result shows to be more close to the reality by analyzing the drawbacks of the classical relative beta convergence, combining the advantages of gams convergence, reference panel data, co-integration theory with the time factor into model. Then, Monte Carlo simulation method is used to analyze its distribution, which shows that it obeys to the normal distribution assumption in large samples. At last, our method is applied to the analysis of economic convergence of central China

China · Econometrics · Economics · Geography · Macroeconomics · Mathematical optimization · Monte Carlo method · Statistics · Computer Science · Economic Growth and Productivity · Mathematics · Regional Economic and Spatial Analysis · Regional Economics and Spatial Analysis · Applied Mathematics

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Citation velocityhistorical
Highly citedNo

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