Technology, factor endowments, and China's agricultural foreign trade: a neoclassical approach

Technology, factor endowments, and China's agricultural foreign trade: a neoclassical approach Purpose – The purpose of this paper is to explain the determination of China's agricultural foreign trade pattern since the World Trade Organization (WTO) accession. Design/methodology/approach – The neoclassical trade theory indicates that differences in both technology levels and factor endowments can explain the international trade pattern. In terms of a neoclassical framework based on the restricted profit function, this paper employs the province‐level panel data to investigate whether China's agricultural foreign trade pattern is consistent with the neoclassical explanation. Findings – The findings indicate that China's agricultural foreign trade pattern is evidently characterized by regional specific features. In the eastern region, agricultural foreign trade pattern is jointly determined by differences in technology levels and factor endowments. Agricultural foreign trade patterns are driven in the central and western regions by land and capital endowments, respectively. The findings also imply that the utilization of comparative advantage in China's agriculture needs to be exploited further. Originality/value – As far as the author knows, this paper is the first to apply the neoclassical framework based on the restricted profit function and employ the province‐level panel data to investigate the determination of China's agricultural foreign trade pattern. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png China Agricultural Economic Review Emerald Publishing

Technology, factor endowments, and China's agricultural foreign trade: a neoclassical approach

China Agricultural Economic Review, Volume 4 (1): 19 – Jan 27, 2012

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Publisher
Emerald Publishing
Copyright
Copyright © 2012 Emerald Group Publishing Limited. All rights reserved.
ISSN
1756-137X
DOI
10.1108/17561371211196801
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this paper is to explain the determination of China's agricultural foreign trade pattern since the World Trade Organization (WTO) accession. Design/methodology/approach – The neoclassical trade theory indicates that differences in both technology levels and factor endowments can explain the international trade pattern. In terms of a neoclassical framework based on the restricted profit function, this paper employs the province‐level panel data to investigate whether China's agricultural foreign trade pattern is consistent with the neoclassical explanation. Findings – The findings indicate that China's agricultural foreign trade pattern is evidently characterized by regional specific features. In the eastern region, agricultural foreign trade pattern is jointly determined by differences in technology levels and factor endowments. Agricultural foreign trade patterns are driven in the central and western regions by land and capital endowments, respectively. The findings also imply that the utilization of comparative advantage in China's agriculture needs to be exploited further. Originality/value – As far as the author knows, this paper is the first to apply the neoclassical framework based on the restricted profit function and employ the province‐level panel data to investigate the determination of China's agricultural foreign trade pattern.

Journal

China Agricultural Economic ReviewEmerald Publishing

Published: Jan 27, 2012

Keywords: China; National economy; Agriculture; Foreign trade; Technology; Comparative advantage; Agricultural foreign trade; Restricted profit function

References

  • Contracts and technology adoption
    Acemoglu, D.; Antras, P.; Helpman, E.
  • Another look at the instrumental variable estimation of error‐components models
    Arellano, M.; Bover, O.
  • Initial conditions and moment restrictions in dynamic panel data models
    Blundell, R.; Bond, S.R.
  • The case of the missing trade and other mysteries
    Trefler, D.
  • A finite sample correction for the variance of linear efficient two‐step GMM estimators
    Windmeijer, F.

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