IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Policy Reform And Productivity Change In Chinese Agriculture: A Distance Function Approach

  • Glauben, Thomas
  • Lu, Wencong C.
  • Brümmer, Bernhard

Agricultural policy reform has been an important source of change in the Chinese agricultural sector. The reforms led to productivity growth and helped China in pursuing its self- sufficiency goal especially in the grain sector. To analyse whether observable productivity growth stems from technologically induced components, or from the market induced parts, a multi-input-multi-output model is derived using an econometric distance function framework. A decomposition allows to distinguish allocative effects, scale effects, technological change, and technical efficiency change. Data on farms in Zhejiang from 1986 to 1999 are used to analyse the impact of policy reform.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://purl.umn.edu/25896
Download Restriction: no

Paper provided by International Association of Agricultural Economists in its series 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa with number 25896.

as
in new window

Length:
Date of creation: 2003
Date of revision:
Handle: RePEc:ags:iaae03:25896
Contact details of provider: Web page: http://www.iaae-agecon.org/
Email:


More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Baltagi, Badi H & Griffin, James M, 1988. "A General Index of Technical Change," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 20-41, February.
  2. Mundlak, Yair, 1996. "Production Function Estimation: Reviving the Primal," Econometrica, Econometric Society, vol. 64(2), pages 431-38, March.
  3. Li, Guo & Rozelle, Scott & Brandt, Loren, 1998. "Tenure, land rights, and farmer investment incentives in China," Agricultural Economics, Blackwell, vol. 19(1-2), pages 63-71, September.
  4. Wu, Shunxiang, et al, 2001. "Productivity Growth and Its Components in Chinese Agriculture after Reforms," Review of Development Economics, Wiley Blackwell, vol. 5(3), pages 375-91, October.
  5. O'Donnell, Christopher J. & Coelli, Timothy J., 2005. "A Bayesian approach to imposing curvature on distance functions," Journal of Econometrics, Elsevier, vol. 126(2), pages 493-523, June.
  6. Carter, Colin A. & Estrin, Andrew J., 2001. "Market Reforms Versus Structural Reforms in Rural China," Journal of Comparative Economics, Elsevier, vol. 29(3), pages 527-541, September.
  7. Lin, Justin Yifu, 1992. "Rural Reforms and Agricultural Growth in China," American Economic Review, American Economic Association, vol. 82(1), pages 34-51, March.
  8. Jirong Wang & Eric J. Wailes & Gail L. Cramer, 1996. "A Shadow-Price Frontier Measurement of Profit Efficiency in Chinese Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(1), pages 146-156.
  9. Bernhard Br�mmer & Thomas Glauben & Geert Thijssen, 2002. "Decomposition of Productivity Growth Using Distance Functions: The Case of Dairy Farms in Three European Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(3), pages 628-644.
  10. Wen, Guanzhong James, 1993. "Total Factor Productivity Change in China's Farming Sector: 1952-1989," Economic Development and Cultural Change, University of Chicago Press, vol. 42(1), pages 1-41, October.
  11. McMillan, John & Whalley, John & Zhu, Lijing, 1989. "The Impact of China's Economic Reforms on Agricultural Productivity Growth," Journal of Political Economy, University of Chicago Press, vol. 97(4), pages 781-807, August.
  12. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-32.
  13. Giannis Karagiannis & Peter Midmore & Vangelis Tzouvelekas, 2004. "Parametric Decomposition of Output Growth Using A Stochastic Input Distance Function," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1044-1057.
  14. Shenggen Fan, 2000. "Technological change, technical and allocative efficiency in Chinese agriculture: the case of rice production in Jiangsu," Journal of International Development, John Wiley & Sons, Ltd., vol. 12(1), pages 1-12.
  15. repec:cup:cbooks:9780521620550 is not listed on IDEAS
  16. Robin Sickles & David Good & Lullit Getachew, 2002. "Specification of Distance Functions Using Semi- and Nonparametric Methods with an Application to the Dynamic Performance of Eastern and Western European Air Carriers," Journal of Productivity Analysis, Springer, vol. 17(1), pages 133-155, January.
  17. H. Son Nghiem & T. Coelli, 2002. "The Effect of Incentive Reforms Upon Productivity: Evidence from the Vietnamese Rice Industry," Journal of Development Studies, Taylor & Francis Journals, vol. 39(1), pages 74-93.
  18. D T Nguyen & Harry X Wu, 1993. "The Impacts of Economic Reforms on Chinese Agricultural Performance," Chinese Economies Research Centre (CERC) Working Papers 1993-09, University of Adelaide, Chinese Economies Research Centre.
  19. Tim Coelli & Sergio Perelman, 2000. "Technical efficiency of European railways: a distance function approach," Applied Economics, Taylor & Francis Journals, vol. 32(15), pages 1967-1976.
  20. Luis Orea, 2002. "Parametric Decomposition of a Generalized Malmquist Productivity Index," Journal of Productivity Analysis, Springer, vol. 18(1), pages 5-22, July.
  21. Schmidt, Peter, 1988. "Estimation of a fixed-effect Cobb-Douglas system using panel data," Journal of Econometrics, Elsevier, vol. 37(3), pages 361-380, March.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:ags:iaae03:25896. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.