R&D knowledge spillovers of agricultural products trade: an empirical analysis based on spatially extended Coe–Helpman model

LIU Shunjia1 SHENG Yanchao2

(1.Business School of Hunan Agricultural University)
(2.Department of Tourism Management, Hunan Business School)

【Abstract】Agricultural products trade not only brings the importers physical explicit knowledge such as germ plasm resources, but also brings tacit knowledge such as agricultural managerial experiences which can contribute to subsequent spatial spillovers to the adjacent areas of the agricultural importing regions. Recognizing tacit knowledge as a spatial omitted variable from the tacit knowledge linear model, the paper develops the linear Coe-Helpman paradigm in international R&D spillovers into a non-linear spatial model. Using panel data of 31 provinces from 1999 to 2011, the tests show that not only the agricultural products trade knowledge produce significant first spillover effects on the agricultural total factor productivity in the importing region but the tacit knowledge has significant secondary spillover effects on other regions adjacent to importing regions. Furthermore, the secondary spillover effect is greater than the first spillover effect.

【Keywords】 agricultural products trade; tacit knowledge; physical knowledge; spatial spillover;


【Funds】 National Social Science Research Project (13CJL066) Key Discipline of International Economics and Trade in Hunan Agricultural University Leading Project of Hunan Agricultural University Business School “Research of family farms’ building path and growth performance” funded by Agricultural Research Center of Business School, Hunan Agricultural University

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(Translated by DAI Wenru)


    [1]. 1 The detailed calculation of the agricultural fixed capital stock data and agricultural labor force stock are in later sections of the paper. [^Back]

    [2]. 2 Subject to space constraints, specific measurement data is not given here. [^Back]

    [3]. 3 The agricultural imports of some separate administrative units are not included, so proportion of the imports of the three main regions do not add up to 100%. [^Back]

    [4]. 4 The 26 member countries of OECD are Austria, Belgium, Canada, Czech Republic, Denmark, the Netherlands, France, Germany, Hungary, Ireland, Israel, Italy, Japan, South Korea, Mexico, Netherlands, Norway, Poland, Portugal, Slovakia, Slovenia, Spain, Sweden, Turkey, the United Kingdom and the United States. The 26 countries include the R&D expenditures of the traditional G7 countries which account for more than half of the global R&D expenditures. [^Back]

    [5]. 5 Customs Code is HS code, and the full name is “International Convention for Harmonized Commodity Description and Coding System.” [^Back]

    [6]. 6 China Rural Statistical Yearbook 1999 contains only five categories of imported agricultural products, which are rice, wheat, corn, soybeans and cooking oil. Related data of 26 OECD member countries were taken from the database of OECD statistics website. [^Back]


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This Article


CN: 11-1692/F

Vol , No. 09, Pages 29-42

September 2015


Article Outline


  • 1 Introduction
  • 2 Agricultural products trade knowledge spatial spillovers model
  • 3 Empirical test of agricultural products trade knowledge spillovers model
  • 4 Conclusion and policy recommendations
  • Footnote