ASSIS, L. F.; http://lattes.cnpq.br/3237162355201563; ASSIS, Lilian Figueirôa de.
Résumé:
Although the water is considered a renewable resource, environmental degradation has reduced
the capacity of water's resilience, requiring the conscious use of water resources, in such way
that the management mechanisms enable the sustainability. The collection consolidates the
challenge of sustainable water management and should consider two goals, the funding of the
water resources management and the reduction of negative environmental externalities. Thus,
this study aimed to use the Leontief model to create a proposal for appraisement of water in the
Alto Piranhas-PB sub-basin, in Paraiba backlands. This research adopted the deductive method,
it is descriptive and exploratory, with a data quantitative approach. It was initially made a
review on literature to angle for published studies (articles, dissertations, theses), in addition to
consultations in books on pricing, based on input-output analysis, taking into account the
representation of the study area dynamics, which was the Alto Piranhas sub-basin belonging to
the Piancó-Piranhas-Açu river basin. In order to ascertain whether the proposal was feasible,
sectors were considered, from the identified uses in the Water Resources Plan Piancó-PiranhasAçu, to the chosen area, linked to the concept of water footprint (WF). The types of uses,
understood from the Leontief model as intermediate demands were used also for the inputoutput matrix construction, and the sectors to be considered for use and combine the inputs
coming from sectors. Besides that, two scenarios were established by checking how the model
behaves as different criteria are established to identify the submatrices and data entry in the
absolute values matrix. The data analysis showed that the total water footprint resulted in a
254.938.290,78 (m³ / year) consumption, despite the effluent sector has the largest water
measure, reflecting a large purchase volume, its sales volume almost reaches match, so it keeps
its final per capita minimized price compared to livestock. Finally, it was possible to price the
different sectors, through the Leontief model, but it was observed that the lack of data and
primary information associated to the water use by different sectors was characterized as a
limiting factor for the purpose of this study. Despite this limitation was noted that the more data
are entered in the absolute values matrix, the lower are the per capita final price to be paid by
the water consumption, that is what happens to the human consumption sector, for example, for
Scenario I the final amount was R$ 1,26, while for Scenario II was R$ 0,26. In addition, the
livestock sector is the one that will pay the highest amount for the water consumption, given
that is the sector that buys the most this input to its final production.
