‍Flow of production factors, region foreign trade growth, transformation and upgrading——empirical analysis on PVAR model

LU Shanyong1 LI Guoying1

(1.Business School, Guangxi University, Nanning, Guangxi, China 530004)

【Abstract】This article analyzed the panel data of 29 provinces of China between 1986 and 2013 by using the panel vector autoregressive model (PVAR) and concluded that the flows of three types of factors of production, namely labor, capital and technology have positive impacts on the growth rate of regional foreign trade. This is because the flows of factors of production enhance the advantages of factor endowments and is conducive to the competitive edge of endogenous competition and of transaction efficiency, which are in line with the foreign trade development strategy proposed in the theory of integrated advantage. Therefore, it is necessary to continue the acceleration of flows of productive factors, improve the efficiency of resource allocation, transit and upgrade regional foreign trade based on the principles of integrated advantages.

【Keywords】 flow of production factors; growth of regional foreign trade; Panel Vector Auto Regression (PVAR); integrated advantage;

【DOI】

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(Translated by JIN Xiaohua)

    Footnote

    [1]. [1]. The data of Chongqing are merged into Sichuan because Chongqing was not a municipality until 1997. In addition, the data set of this article does not include Tibet due to a large amount of unavailable data. [^Back]

    [2]. [1] Factor intensity refers to the relative proportions of two kinds of factors of production in the production of a certain product. Factor intensity reversal refers to the scenario that with regard to the CES models of production, even if the production functions are the same for both countries, as long as the elasticities of substitution in the production of two commodities are different, one country will violate the theory of comparative endowment advantages by exporting its product of scarce relative factor endowment. That is, if the substitution effect is outstanding, capital-intensive products will revert into labor-intensive products while the original labor-intensive products will revert into capital-intensive products. [^Back]

    References

    [1]Alderson, A. S., Nielsen, F. Income Inequality, Development, and Dependence: Reconsideration. American Sociological Review, 1999, (64): 606–631.

    [2]Bart Hobijn, Emilie Rovito, Diego Comin. A New Approach to Measuring Technology with an Application to the Shape of the Diffusion Curves. The Journal of Technology Transfer, 2008, (33): 187–207.

    [3]Binder, Cheng Hsiao. Robust Estimation of Generalized Linear Models with Measurement Errors. Journal of Econometrics, 2003, (118): 51–65.

    [4]Inessa Love, Lea Zicchino. Financial Development and Dynamic Investment Behavior: Evidence from Panel VAR. Quarterly Review of Economics and Finance, 2006, (46): 190–210.

    [5]Keller R T, Waldman D A, Berson Y. Leadership and Organizational Learning. The Leadership Quarterly, 2009, (20): 1–3.

    [6]Kim Seng Lee, Minbo Li, Jianguo Wang, Yoke San Wong. A Collaborative Application Portal for the Mould Industry. Journal of International Economics, 2006, (68): 238–265.

    [7]M. Hashem Pesaran, Ron Smith. Estimating Long-run Relationships from Dynamic Heterogeneous Panels. Journal of Econometrics, 1995, (68): 79–113.

    [8]Richard E. Baldwin. Agglomeration and Endogenous Capital. European Economic Review, 1999, (43): 253–280.

    [9]Young A. The Razor’s Edge: Distortions and Incremental Reform in the People’s Republic of China. Quarterly Journal of Economics, 2000, 115, (4): 1091–1135.

    [10]Zhang, J., Li, K. & Liu, Z. China Economic Quarterly (中国的经济研究), (10) (2011).

    [11]Liao, X. & Geng, W. Journal of Shanxi University of Finance and Economics (山西财经大学大学学报), (3) (2015).

    [12]Geng, W. Journal of Zhongnan University of Economics and Law (中南财经政法大学学报), (06) (2014).

    [13]Yuan, P. & Yang, Y.. Economic Review (经济评论), (02) (2014).

    [14]Geng, W.World Economy Study (世界经济研究), (09) (2013).

    [15]Fang, X.The Mechanism of Factor Distortions and Its Impact on the Export (中国要素市场扭曲的成因及其对出口贸易的影响), (2013)

    [16]Yang, Y. doctoral thesis, Guangdong University of Foreign Studies (广东外语外贸大学) (2013).

    [17] Lin, Y. China Reform (中国改革), (8) (1999).

    [18]Ping, X.Finance & Trade Economics (财贸经济), (5) (2004).

    [19]Zheng, Y. & Li, C.Social Sciences In China (中国社会科学), (1) (2003).

    [20] Li, J. et al.,, . The Third Science and Technology Annual Conference of Jilin Province, (9) (2004).

    [21]Wan, G., Lu, M. & Chen, Z.Social Sciences In China (中国社会科学), (03) (2005).

    [22] Shen, Y. & Zhang, E.Forum of World Economics & Politics (世界经济与政治论坛), (11) (2014).

    [23]Ma, S.International Economics and Trade Research (国际经贸探索), (11) (2014).

    [24] Cui, C.China Human Resources Development (中国人力资源开发), (11) (2002).

    [25]He, D., Yao, Z. & Yu S.Economic Research Journal (经济研究), (9) (2006).

    [26]Li, Z.Statistical Research (统计研究), (10) (2008).

    [27]Hu, K. & Zhu, Z. Journal of Northwest A&F University(Social Science Edition) (西北农林科技大学学报(社会科学版)), (9) (2006).

    [28] Zhang, L. Factor Flows, Industrial Transfer and Regional Economic Development (要素流动、产业转移与区域经济发展) (5) (2013).

    [29]Lin, Y.China Economic Quarterly (经济学(季刊)), (1) (2002).

    [30] Porter, Michael. Competitive Strategy: Techniques for Analyzing Industries and Competitors (竞争策略), Chen, L. (trans.) Beijing: China CITIC Press, (1997).

    [31] Wu, J. China Venture Capital and High-Tech (中国创业投资与高科技), (10) (2005).

    [32] Lu, S.International Business (国际商务), (3) (2007).

This Article

ISSN:1002-5766

CN: 11-1047/F

Vol 37, No. 12, Pages 31-38

December 2015

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Article Outline

Abstract

  • 1 Introduction
  • 2 Literature review
  • 3 Model building and descriptive statistics
  • 4 Model testing and analysis of estimation results
  • 5 Conclusions and suggestions for countermeasures to the transformation and upgrading of regional foreign trade in China
  • Footnote

    References