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The effects of facilitating the flow of rural workers to urban employment in China

Author

Listed:
  • Yinhua Mai
  • Xiujian Peng
  • Peter B. Dixon
  • Maureen T. Rimmer

Abstract

The Second Agricultural Survey in China revealed that during 2006 about 130 million rural workers spent more than a month working outside the township of their residence. Most of these migrant workers engaged in industrial and services activities. They have played an increasingly important role in China's economic development. In this paper we introduce model mechanisms capturing demand and supply characteristics for these migrant workers under a MONASH-style dynamic Computable General Equilibrium framework. The model, SICGE (State Information Centre General Equilibrium), is applied in this study to analyse the effects of reducing institutional restrictions to the flow of rural labour to urban employment.

Suggested Citation

  • Yinhua Mai & Xiujian Peng & Peter B. Dixon & Maureen T. Rimmer, 2009. "The effects of facilitating the flow of rural workers to urban employment in China," Centre of Policy Studies/IMPACT Centre Working Papers g-188, Victoria University, Centre of Policy Studies/IMPACT Centre.
    • Handle: RePEc:cop:wpaper:g-188
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    References listed on IDEAS

    as
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    6. Peter B. Dixon & Maureen T. Rimmer, 2003. "A New Specification of Labour Supply in the MONASH Model with an Illustrative Application," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 36(1), pages 22-40, March.
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    Cited by:

    1. Xiujian Peng & Yinhua Mai, 2013. "Population Ageing, Retirement Age Extension and Economic Growth in China A Dynamic General Equilibrium Analysis," Centre of Policy Studies/IMPACT Centre Working Papers g-237, Victoria University, Centre of Policy Studies/IMPACT Centre.
    2. Zhao, Jing & Ni, Hongzhen & Peng, Xiujian & Li, Jifeng & Chen, Genfa & Liu, Jinhua, 2016. "Impact of water price reform on water conservation and economic growth in China," Economic Analysis and Policy, Elsevier, vol. 51(C), pages 90-103.
    3. Valerien O. Pede & Raymond J. G. M. Florax & Henri L. F. de Groot & Gustavo Barboza, 2021. "Technological leadership and sectorial employment growth: A spatial econometric analysis for U.S. counties," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 50(1), February.
    4. Anping Chen & Nicolaas Groenewold, 2011. "Regional Equality and National Development in China: Is There a Trade‐Off?," Growth and Change, Wiley Blackwell, vol. 42(4), pages 628-669, December.
    5. Menzies, Gordon & Xiao, Sylvia Xiaolin & Dixon, Peter & Peng, Xiujian & Rimmer, Maureen, 2016. "Rural-led exchange rate appreciation in China," China Economic Review, Elsevier, vol. 39(C), pages 15-30.
    6. Yinhua Mai & Xiujian Peng, 2009. "Estimating the size of rural labour surplus in China - A dynamic general equilibrium analysis," Centre of Policy Studies/IMPACT Centre Working Papers g-189, Victoria University, Centre of Policy Studies/IMPACT Centre.
    7. Qian Wang & Qiao-Mei Liang, 2015. "Will a carbon tax hinder China’s efforts to improve its primary income distribution status?," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(8), pages 1407-1436, December.

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    More about this item

    Keywords

    China; CGE modelling; labour supply; rural-urban migration;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

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