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Necessary evil: water treaties and international trade

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Abstract

Water is a limited resource but it lies at the heart of economies and life on Earth. As it ignores borders, its exploitation can affect water resource availability and quality even in geographically distant areas. As a solution, there is a growing interest in international agreements to protect water resources. However, these agreements can influence other aspects of the economy. This article focuses on the effect of water treaties (WTs) with environmental provisions on international trade. We argue that, as a key input in all production activities, protecting water resources can generate additional costs that can be detrimental to international trade. Empirical investigations are conducted using a structural gravity equation with exporter-year, importer-year and bilateral fixed effects. We find that WTs with environmental provisions decrease bilateral trade. Sectoral analyses show that these WTs reduce particularly mining trade and countries’ income levels and climatic conditions are important characteristics to consider when setting up these agreements. We also find that regional trade agreements (RTAs) with environmental provisions reduce mining and agricultural trade. So, while beneficial for sustainable development, policymakers should consider, when signing treaties with environmental provisions, that they constrain international trade in order to propose mitigation provisions.

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Notes

  1. Countries that share river basins are more keen to military disputes (Gleditsch et al., 2006).

  2. According to Katrin (2022), conflict severely harms factors crucial to the production and trade of goods, such as human life and infrastructure. In addition, public spending is mobilized and redirected to sustain the conflict, thereby weakening the economy.

  3. According to the International Freshwater Treaties Database.

  4. These analyses also show that bilateral treaties outnumber multilateral treaties which may explain the difficulty in managing resources without a systemic agreement.

  5. These are agreements which have explicitly mentioned water quality issues and environmental services or protection.

  6. Candau and Dienesch (2017) debunk this latter argument.

  7. Hensel and Brochman (2008), for instance, show that the presence of a WT decreases the potential for militarization and Zawahri and Gerlak (2009) discuss how securing access to freshwater has fostered cooperation in Africa. However as shown by Dinar (2009), such a relationship is not guaranteed. Dinar (2009) develops a theoretical model (also tested on 74 country dyadic observations) and suggests an inverted U-shaped curve for the relationship between water scarcity and cooperation.

  8. Agreements on water are often bilateral. According to the Atlas of International Freshwater Agreements, two-thirds of basins have three or more riparian states, but only 20 per cent of the agreements signed are multilateral.

  9. In the case of emission leakages and transboundary spillovers, WTs may be a tool to coordinate and to legitimize green lobbying on environmental policy outcomes. See Conconi (2003) and Mason et al., (2018) who analyse the conditions under which lobbies influence environmental policies, including water regulation.

  10. https://unece.org/fileadmin/DAM/env/eia/documents/legaltexts/Espoo_Convention_authentic_ENG.pdf

  11. See Debaere (2014).

  12. Baghdadi et al. (2013) find that environmental provisions of RTAs reduce polluting emissions. Although this is an important finding, we can only speculate about the related effect on international trade regarding our concern.

  13. http://rtais.wto.org/UI/PublicMaintainRTAHome.aspx

  14. Trade resistance refers to the average level of all obstacles imposed by a country on all its partners.

  15. https://transboundarywaters.science.oregonstate.edu/content/international-freshwater-treaties-database

  16. Oregon State University.

  17. https://www3.nd.edu/~jbergstr/

  18. See Silva Santos and Tenreyro (2006) for the seminal article and Silva Santos and Tenreyro (2011) who show that the Poisson pseudo-maximum likelihood (PPML) estimator performs better than other estimators even when the conditional variance is far from being proportional to the conditional mean and even when the dependent variable has a very large proportion of zeros. Head and Mayer (2014) compare several estimators and favour the PPML estimator. Interestingly, Fally (2015, Proposition 1) demonstrates that the estimated fixed effects with PPML are perfectly consistent with the multilateral resistances of the theoretical model.

  19. https://arxiv.org/abs/1903.01690

  20. See ‘nlcom’ command in Stata.

  21. https://correlatesofwar.org/data-sets

  22. This database is proposed by Taylor Owen, coauthor in Gleditsch et al. (2006). Check the following link: https://www.prio.org/projects/1291

  23. Nguyen (2019) estimates the effect of RTAs to be approximately 64.2%.

  24. Table 2 is replicated for dyads that shared a river basin in Appendix C, Table 9. The coefficient on WTs with environmental provisions is still negative and statistically significant [see Table 9, column (1)]. Besides, it is two times bigger in terms of magnitude compared to the correspond findings in Table 2, columns (1). Results in Table 2, columns (1) concern the effect WTs without environmental provisions. The related coefficient is not statistically significant, as found in Table 2, columns (2). As such, results in Appendix C, Table 9 confirm that, environmental provisions drive the negative effect of WTs on bilateral trade.

  25. See for instance Duarte et al. (2014) who analyse the water footprint of the Spanish agricultural sector over a long period of time (1860–2010).

  26. Food and Agriculture Organization of the United Nations.

  27. The coefficient on WTs in explaining agricultural trade is not statistically significant.

  28. i.e. On average the water footprint in the mining sector is very important.

  29. We also find a negative effect of WTs on mining trade from low-income countries to high-income countries However, the related coefficient is significant only at 10%.

  30. Green production process and wastewater rehabilitation technologies are concerned.

  31. Their adoption helps considerably to alleviate water resource shortages (Lucas, 2005).

  32. In fact, in water resources protection, although necessary, is not of high priority in developing countries.

  33. It is worth mentioning that, their exports to developed countries decrease as a result of the agreement.

  34. Sometimes (albeit rarely) it is also stipulated that water is a ‘sensitive subject’ that cannot be liberalized by the RTAs. For instance in the CETA, art. X.08(1) it is written that ‘water in its natural state, such as water in lakes, rivers, reservoirs, aquifers and water basins, is not a good or a product and therefore, except for Chapter XX—Trade and Environment and Chapter XX-Sustainable Development, is not subject to the terms of this Agreement.

  35. http://www.chaire-epi.ulaval.ca/en/trend

  36. More precisely, the statements relate to the management of transboundary waterways, the management of rivers basins and lakes, the management of drainage basins, watershed and water catchment, preservation and conservation of water resources, and the prevention of pollution arising from fishing activities.

  37. https://www.chaire-epi.ulaval.ca/en/trend

  38. See Brandi et al. (2020) who show that there is an increase in green exports from developing countries show that environmental provisions in RTAS help reduce dirty exports.

  39. See https://www.un.org/waterforlifedecade/transboundary_waters.shtml

  40. See ‘nlcom’ command in Stata.

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Acknowledgements

I would like to thank the editor and two anonymous referees for excellent comments and suggestions. I am very grateful to Fabien CANDAU for his guidance and invaluable advice and support. I also thank the University of Orleans International conference (2022) participants for their comments and suggestions.

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Appendices

Appendix A: Robustness check—Effect of water treaties on trade with different lags

Table 7 below presents the results of the WTs’ effect on trade with different lags. We consider not only the contemporaneous effect of WTs, but also include two lags preceding the year of signing [column (1)] and thirteen lags preceding the year of signing [column (2)]. We can observe that, the coefficient on the 2-year lag is always significant. We also compute and present the cumulative effect of the WT variables (i.e. including all the WTs lags) at the bottom of the table. These cumulative effects are obtained by summing up the coefficients on the WT dummies. Calculations of point estimates, standard errors and significance levels, are based on the ‘delta method’.Footnote 40 The cumulative effect of WTs is negative and statistically significant at 5% in column (1). It is again negative in column (2) and statistically significant at only 10%.

Table 7 WA effect of trade—Results with more lags

Appendix B: The strict exogeneity test

As proposed by Wooldridge (2002), we check the possibility that trade and the WT variables can be co-determined by testing whether there is an anticipation behaviour in trade when a future treaty is going to be set up. The strict exogeneity test consists of verifying the absence of a potential anticipation effect. We thus estimate our specification by using the future level of WTs. Columns (1), (2) and (3) in Table 8 present the results with two, four and six years forward WT variables, respectively (i.e. \(WT_{od,t + 2}\), \(WT_{od,t + 4}\) and \(WT_{od,t + 6}\)).

Table 8 Strict exogeneity test of water treaties

The results in Table 8 below show no significant effect of \(WT_{od,t + 2}\), \(WT_{od,t + 4}\) and \(WT_{od,t + 6}\) on trade. This confirms that there is no anticipation effect of trade with regards to future WTs.

Appendix C: WTs with environmental provisions and trade among dyads sharing river basins

We have replicated here the results regarding the effect of WTs with environmental provisions (presented in Table 2), on a restricted sample of dyads that shared at least a river basin. The new results are presented in Table 9 below. The coefficient on WTs with environmental provisions is negative and statistically significant [see Table 9, column (1)]. Results in Table 2, columns (2) concern the effect WTs without environmental provisions. The related coefficient is not statistically significant.

Table 9 The effect of WTs with environmental provisions on trade among countries sharing river basins

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Gbandi, T. Necessary evil: water treaties and international trade. Rev World Econ (2024). https://doi.org/10.1007/s10290-024-00533-9

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