Regional growth in China: An empirical investigation using multiple imputation and province-level panel data
AbstractThis paper examines the contributions of various factors to China's economic growth. The methodology is discussed in papers by Levine and Renelt (1992) and Sala-i-Martin (1997). Using multiple imputation techniques on a panel data from 1978 to 1999 for 30 provinces, autonomous regions, and independently administered cities, we find that provinces with more innovation capital and more bank-deposit-to-GDP ratios tend to experience higher economic growth. Migration of people into a province, the number of higher education teachers, railroad density & local government revenue as a percent of total government spending are all negatively related to subsequent growth rates.
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Bibliographic InfoArticle provided by Elsevier in its journal Research in Economics.
Volume (Year): 65 (2011)
Issue (Month): 3 (September)
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Web page: http://www.elsevier.com/locate/inca/622941
Growth Provinces Empirical Panel-data;
Other versions of this item:
- Chen, Baizhu & Phillips, Kerk L., 2008. "Regional Growth in China: An Empirical Investigation using Multiple Imputation and Province-level Panel Data," MPRA Paper 23553, University Library of Munich, Germany.
- H10 - Public Economics - - Structure and Scope of Government - - - General
- O47 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Measurement of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
- O53 - Economic Development, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East
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