A theoretical model of water and trade

Dang, Qian; Konar, Megan; Reimer, Jeffrey J.; Baldassarre, Giuliano Di; Lin, Xiaowen; Zeng, Ruijie

doi:10.1016/j.advwatres.2015.12.016

Cited by 24 publications

(20 citation statements)

References 19 publications

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“…Either way, it is time for socio-hydrology to move beyond individual case studies and find generalized but locally relevant descriptions of changes in the (large-scale) humanwater system (McMillan et al, 2016). Importantly, a recent study has presented a generalized socio-hydrology model of water resources and trade (Dang et al, 2016), which also highlights the opposite challenge in socio-hydrology model development, e.g. no explicit spatial representation in many economics models.…”

Section: Modelling Human Activities At Multiple Spatial Scalesmentioning

confidence: 99%

Human–water interface in hydrological modelling: current status and future directions

Wada

Bierkens

Roo

et al. 2017

Hydrol. Earth Syst. Sci.

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213

181

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Abstract. Over recent decades, the global population has been rapidly increasing and human activities have altered terrestrial water fluxes to an unprecedented extent. The phenomenal growth of the human footprint has significantly modified hydrological processes in various ways (e.g. irrigation, artificial dams, and water diversion) and at various scales (from a watershed to the globe). During the early 1990s, awareness of the potential for increased water scarcity led to the first detailed global water resource assessments. Shortly thereafter, in order to analyse the human perturbation on terrestrial water resources, the first generation of largescale hydrological models (LHMs) was produced. However, at this early stage few models considered the interaction between terrestrial water fluxes and human activities, including water use and reservoir regulation, and even fewer models distinguished water use from surface water and groundwater resources. Since the early 2000s, a growing number of LHMs have incorporated human impacts on the hydrological cycle, yet the representation of human activities in hydrological models remains challenging. In this paper we provide a synthesis of progress in the development and application of human impact modelling in LHMs. We highlight a number of key challenges and discuss possible improvements in order to better represent the human-water interface in hydrological models.

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Section: Modelling Human Activities At Multiple Spatial Scalesmentioning

confidence: 99%

Human–water interface in hydrological modelling: current status and future directions

Wada

Bierkens

Roo

et al. 2017

Hydrol. Earth Syst. Sci.

Self Cite

213

181

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“…The influence of global demand could be considerable in the long term and must be taken into consideration. In cases where the coupling is strong, modelling may be done analytically (Dang et al 2016) or numerically by incorporating market prices exogenously as time-varying boundary conditions (Elshafei et al 2016). …”

Section: Linking Local and Global Scales When Appropriatementioning

confidence: 99%

Prediction in a socio-hydrological world

Srinivasan

Sanderson

Garcia

et al. 2016

Hydrological Sciences Journal

120

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“…Geographical factors determine trade, as given by the gravity model of international trade (Tinbergen 1962), but are likely exogenous to outcome variables of interest. This makes geographical variables suitable instruments for trade openness, and they have been applied in many other studies that suggest that openness does not have a negative impact on the environment, including reductions in air pollution (SO2 and NO2 emissions) (Frankel and Rose 2005) and water use (Kagohashi et al 2015, Dang andKonar 2016).…”

Section: Introductionmentioning

confidence: 99%

Trade openness and the nutrient use of nations

Dang

Konar

Debaere

2018

Environ. Res. Lett.

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To contribute to the debate over globalization and the environment we ask the question: what is the impact of trade openness on the nutrient use of nations? We address this question by using econometric methods to quantify the causal relationship between the trade openness and the nutrient use of nations on a global scale. In our empirical analysis we go beyond a cross-sectional analysis. We exploit time-series variation for an unbalanced panel of countries that spans the time period 2001-2014 (1027 total observations). By using a panel data analysis we are able to use fixed effects and better control for unobservable heterogeneity. We also explicitly consider how the openness of a country to trade may interact with its comparative advantage which determines its relative specialization in production, and hence its export strength as well as its import needs. We find that trade openness on average does not significantly impact nutrient use. However, there is evidence that as countries become more open and more capital abundant their nutrient use is reduced. This finding is in line with previous research that shows that trade openness does not have a negative impact on the environment. Our findings have both scientific and policy relevance as we strive to untangle causal relationships in the global food supply chain and determine its environmental impacts.

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A theoretical model of water and trade

Cited by 24 publications

References 19 publications

Human–water interface in hydrological modelling: current status and future directions

Human–water interface in hydrological modelling: current status and future directions

Prediction in a socio-hydrological world

Trade openness and the nutrient use of nations

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