Abstract
International trade theory suggests that advanced trade integration may lead to a higher level of intra-industry trade. The enlargement of the European Union (EU) during the last decade is a good example to analyse the intra-industry trade in wine products. The aim of the paper is to analyse the pattern and drivers of horizontal intra-industry trade in the wine sector within the EU between 2000 and 2011. We employ an empirical strategy developed by Cieślik (2005) to test Helpman and Krugman (1985) model. We find a growing trend in intra-industry trade with dominance of vertical intra-industry trade. Estimations suggest that Belgium, France, the Netherlands and Germany report the highest level of intra-industry trade within the EU. The level of intra-industry trade is highest among old member states. Empirical evidence indicates that the standard intra-industry theory finds some support in our data when we control for the sum of capital to labour ratios in the estimated equations instead of relative country-size variables. We find that the EU enlargement positively influences total and vertical intra-industry trade while it has negative impacts on horizontal intra-industry trade. Distance has negative effects on all types of intra-industry trade.
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Acknowledgments
The authors gratefully acknowledge two anonymous referees for their helpful comments and suggestions on earlier drafts of this manuscript. This research was supported by the project NKFI-115788 “Economic crises and international agricultural trade”.
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Appendix
Appendix
Specification tests for Table 4 (p values)
IIT | Horizontal IIT | Vertical IIT | IIT | Horizontal IIT | VerticalIIT | |
Hausman test | 0.0213 | 0.3562 | 0.0165 | 0.0315 | 0.8364 | 0.0415 |
Wooldridge test for autocorrelation in panel data | 0.0000 | 0.9092 | 0.0000 | 0.0000 | 0.9075 | 0.0000 |
Modified Wald test for groupwise heteroscedasticity | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
Pesaran’s test of cross-sectional independence | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
Specification tests for Table 5 (p values)
IIT | Horizontal IIT | Vertical IIT | IIT | Horizontal IIT | VerticalIIT | |
Hausman test | 0.5527 | 0.2026 | 0.2158 | 0.4989 | 0.9235 | 0.3338 |
Wooldridge test for autocorrelation in panel data | 0.0000 | 0.9083 | 0.0000 | 0.0000 | 0.9072 | 0.0000 |
Modified Wald test for groupwise heteroscedasticity | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
Pesaran’s test of cross-sectional independence | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
Specification tests for Table 6 (p values)
IIT | Horizontal IIT | Vertical IIT | IIT | Horizontal IIT | Vertical IIT | |
Hausman test | 0.1749 | 0.0011 | 0.5691 | 0.0226 | 0.0176 | 0.0715 |
Wooldridge test for autocorrelation in panel data | 0.0000 | 0.9101 | 0.0000 | 0.0000 | 0.9086 | 0.0000 |
Modified Wald test for groupwise heteroscedasticity | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
Pesaran’s test of cross-sectional independence | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
Specification tests for Table 7 (p values)
IIT | Horizontal IIT | Vertical IIT | IIT | Horizontal IIT | Vertical IIT | |
Hausman test | 0.2345 | 0.0069 | 0.5169 | 0.0650 | 0.1012 | 0.1400 |
Wooldridge test for autocorrelation in panel data | 0.0000 | 0.9102 | 0.0000 | 0.0000 | 0.9088 | 0.0000 |
Modified Wald test for groupwise heteroscedasticity | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
Pesaran’s test of cross-sectional independence | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
Specification tests for Table 8 (p values)
IIT | Horizontal IIT | Vertical IIT | IIT | Horizontal IIT | Vertical IIT | |
Hausman test | 0.9234 | 0.0076 | 0.9900 | 0.6873 | 0.1550 | 0.6660 |
Wooldridge test for autocorrelation in panel data | 0.0000 | 0.9094 | 0.0000 | 0.0000 | 0.9085 | 0.0000 |
Modified Wald test for groupwise heteroscedasticity | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
Pesaran’s test of cross-sectional independence | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
Specification tests for Table 9 (p values)
IIT | Horizontal IIT | Vertical IIT | IIT | Horizontal IIT | Vertical IIT | |
Hausman test | 0.3355 | 0.0006 | 0.4783 | 0.0335 | 0.0071 | 0.0548 |
Wooldridge test for autocorrelation in panel data | 0.0000 | 0.9109 | 0.0000 | 0.0000 | 0.9094 | 0.0000 |
Modified Wald test for groupwise heteroscedasticity | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
Pesaran’s test of cross-sectional independence | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
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Fertő, I., Podruzsik, S. & Balogh, J. Intra-industry trade in the wine sector in the enlarged European Union. Rev Agric Food Environ Stud 97, 159–172 (2016). https://doi.org/10.1007/s41130-016-0024-3
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DOI: https://doi.org/10.1007/s41130-016-0024-3
Keywords
- Horizontal and vertical intra-industry trade
- EU wine industry
- Helpman and Krugman model
- Trade integration