Research on the Technology Spillover Effect of Taiwanese Investment on Agricultural Products Processing Industry in Mainland China

DOI

10.2991/icesem-17.2017.20How to use a DOI?

Keywords

Agricultural products processing industry; Taiwanese direct investment; Technology spillover effect; Panel data model

Abstract

In order to test the technology spillover effect of Taiwanese investment on the development of agricultural products processing industry in mainland China, this paper is based on the panel data of 10 segments of China's agricultural products processing industry and the panel data from 2007 to 2012. The panel data model is used for the empirical test. The result shows that Taiwanese direct investment has not been able to bring direct technology spillover effect to agricultural products processing industry in mainland China. However, it can improve the overseas openness of agricultural products processing industry in mainland China and reduce the technical gap between the two sides of the mainland. And then it will have indirect technology spillover effect on the agricultural products processing industry in mainland China. The conclusions of this paper provide a new basis to judge whether "Taiwanese investment will help the development of agricultural products processing industry in mainland China and is of important decision-making reference value.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chang Lin
AU  - Jiangfan Yang
PY  - 2017/10
DA  - 2017/10
TI  - Research on the Technology Spillover Effect of Taiwanese Investment on Agricultural Products Processing Industry in Mainland China
BT  - Proceedings of the 2017 International Conference on Education Science and Economic Management (ICESEM 2017)
PB  - Atlantis Press
SP  - 82
EP  - 86
SN  - 2352-5398
UR  - https://doi.org/10.2991/icesem-17.2017.20
DO  - 10.2991/icesem-17.2017.20
ID  - Lin2017/10
ER  -