Trade in Virtual Water: Do Property Rights Matter?

被引:0
作者
Ankai Xu
机构
[1] World Trade Organization,
来源
Water Resources Management | 2018年 / 32卷
关键词
Virtual water trade; International trade; Gravity model of trade; Property rights;
D O I
暂无
中图分类号
学科分类号
摘要
This paper examines the determinants of virtual water trade – embodied in agricultural products – and tests the relationship between property rights and the export of water-intensive products. Using two different measures of property rights protection, I show that countries with weaker property rights have an apparent comparative advantage in the export of water-intensive products. After controlling for economic size, natural resource endowments and bilateral trade determinants, the trade flow of virtual water is negatively and significantly correlated with the property rights index of the exporting country. The results are robust across different estimation methods.
引用
收藏
页码:2585 / 2609
页数:24
相关论文
共 42 条
[1]  
Acemoglu D(2005)Unbundling Institutions J Polit Econ 113 949-995
[2]  
Johnson S(1998)Virtual water: A strategic resource global solutions to regional deficits Groundwater 36 545-546
[3]  
Allan JA(2003)Virtual water-the water, food, and trade nexus. Useful concept or misleading metaphor? Water Int 28 106-113
[4]  
Allan JA(2003)Gravity with gravitas: A solution to the border puzzle Am Econ Rev 93 170-192
[5]  
Anderson JE(2009)Bonus vetus OLS: A simple method for approximating international trade-cost effects using the gravity equation J Int Econ 77 77-85
[6]  
van Wincoop E(2007)Trade effects of the euro: A comparison of estimators Journal of Economic Integration 22 780-818
[7]  
Baier SL(2009)Trade, tragedy, and the commons Am Econ Rev 99 725-49
[8]  
Bergstrand JH(2014)The global economics of water: Is water a source of comparative advantage? American Economic Journal: Applied Economics 6 32-48
[9]  
Baldwin R(2014)A gravity model of virtual water trade Ecol Econ 108 215-228
[10]  
Taglioni D(2014)Updated high-resolution grids of monthly climatic observations-the CRU TS3.10 dataset Int J Climatol 34 623-642