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1995
DOI: 10.1016/1043-951x(95)90012-8
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Price reform and structural change in the Chinese economy: Policy simulations using a CGE model

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Cited by 25 publications
(7 citation statements)
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“…Building on a long tradition of multi-sector CGE models used in analyzing trade and public policies, for example, Beghin et al (1994), Garbaccio (1994), and Wang and Zhai (1998), the model is recursive dynamic. 6 Labor inputs are divided into 22 age and gender groups and the model has a built-in module on population dynamics and labor supply.…”
Section: The Structure Of the Modelmentioning
confidence: 99%
“…Building on a long tradition of multi-sector CGE models used in analyzing trade and public policies, for example, Beghin et al (1994), Garbaccio (1994), and Wang and Zhai (1998), the model is recursive dynamic. 6 Labor inputs are divided into 22 age and gender groups and the model has a built-in module on population dynamics and labor supply.…”
Section: The Structure Of the Modelmentioning
confidence: 99%
“…Since 1992, China implemented ambitious plans to liberalise all prices, including the products with heavy subsidies (Garbaccio, ). The Price Law adopted in 1997 provides a framework of legislation to support price liberalisation, and change the role of the state from “regulator” to “supervisor.” Figure shows that the market price share for both consumer goods and industrial materials is increasing from 40% in 1990 to ~80% in 1997.…”
Section: Institutional Background and Literature Reviewmentioning
confidence: 99%
“…18.46120) (14.28516) Adjustted R-squared: 0.886496 F-statistic: 204.0659 D-W statistic: 1.9641The regression results for(20)including goodness-offit, F-statistic and t test of parameters are all good. Apparently, according to the estimation resultLabor force output elasticity for the three industries ① Labor force output elasticity of aggregate production functionWe can also put aggregate production function in the form of C-D function and perform a regression on (17) with the statistics obtained above.…”
mentioning
confidence: 99%