“…Takahashi (2011) analyzed the survival probability of Japanese FDI in the Chinese food industry but did not investigate the critical factors of parent companies influencing FDI survival. In addition, previous studies on determinants for FDI in China primarily focussed on location choice but seldom used survival analysis to explore factors 1238 BFJ 118,5 influencing the stability of Taiwanese or Japanese outward FDI in China (Cassidy and Andreosso-O'Callaghan, 2006;Kang and Liao, 2006;Wang et al, 2012).…”
Purpose -The purpose of this paper is to investigate the stability of Taiwanese and Japanese outward foreign direct investment (FDI) in China's food industry and explore the Cox proportional hazard model to examine the factors that may affect the duration and stability of FDI. Design/methodology/approach -The data used in this study come from firm-level survey conducted in different Chinese provinces. Based on the data, survival analysis on the determinants of FDI in China's food industry was constructed and used for analysis. Findings -Estimated results from the study show that the survival rates are higher for Taiwanese FDI than for Japanese FDI from 2003 to 2012. In addition, empirical results show a positive relationship between research and development (R&D) expenditure/domestic investment and the hazard rate, implying that Japanese investments with greater R&D expenditure and domestic investment would decrease the survival of FDI in China. On the contrary, Taiwanese investments with greater R&D expenditure and domestic investment would enhance the survival of FDI in China. Originality/value -It could be the first that survival comparisons across countries are conducted together in the relevant FDI studies of the food industry. For robustness, survival rates for ten major provinces and cities where affiliates conducted FDI in the food industry are examined.
“…Takahashi (2011) analyzed the survival probability of Japanese FDI in the Chinese food industry but did not investigate the critical factors of parent companies influencing FDI survival. In addition, previous studies on determinants for FDI in China primarily focussed on location choice but seldom used survival analysis to explore factors 1238 BFJ 118,5 influencing the stability of Taiwanese or Japanese outward FDI in China (Cassidy and Andreosso-O'Callaghan, 2006;Kang and Liao, 2006;Wang et al, 2012).…”
Purpose -The purpose of this paper is to investigate the stability of Taiwanese and Japanese outward foreign direct investment (FDI) in China's food industry and explore the Cox proportional hazard model to examine the factors that may affect the duration and stability of FDI. Design/methodology/approach -The data used in this study come from firm-level survey conducted in different Chinese provinces. Based on the data, survival analysis on the determinants of FDI in China's food industry was constructed and used for analysis. Findings -Estimated results from the study show that the survival rates are higher for Taiwanese FDI than for Japanese FDI from 2003 to 2012. In addition, empirical results show a positive relationship between research and development (R&D) expenditure/domestic investment and the hazard rate, implying that Japanese investments with greater R&D expenditure and domestic investment would decrease the survival of FDI in China. On the contrary, Taiwanese investments with greater R&D expenditure and domestic investment would enhance the survival of FDI in China. Originality/value -It could be the first that survival comparisons across countries are conducted together in the relevant FDI studies of the food industry. For robustness, survival rates for ten major provinces and cities where affiliates conducted FDI in the food industry are examined.
“…Using aggregated investment stock data, Fung et al (2002Fung et al ( , 2003Fung et al ( , 2004 and Cassidy and Bernadette (2006) studied location determinants of Japanese investment in China. Zhou et al (2002) and Wakasugi (2005), however, employed detailed Japanese greenfield affiliate number data to better understand the location choices of Japanese investment in China.…”
“…Cheng•L•K(2000)considered that factors for investment distribution were market size, infrastructure and policies [10]. Cassidy and O'Callaghan ( 2006 ) regarded well-educated and convenient transportation as attractiveness for the industry [11] . Concluded in table 1, the main influencing factors involved for intersectional transferring are: cost, market, government, infrastructure, transportation and education level.…”
Section: A Intersectional Industry-transferring Theory Abroadmentioning
First this paper gives a summarization on general factors for inter-regional industry transfer by research both at home and abroad. Further, combining the regional characteristics of western region, it analyzes impact and effect on following four factors separately: regional factor endowment, regional market attractiveness, industrial transfer environment and governmental behaviors. On the base of above, some suggestions and issues are proposed in the article.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.