Tatiana Borisova

Associate Professor and Extension Specialist, Water Economics and Policy

Tatiana Borisova's integrated program of Extension and research focuses on University of Florida's Cooperative Extension priority area titled "Enhancing and Protecting Water Quality, Quantity, and Supply". She conducts applied research and collaborates with state Extension specialists and county Extension agents on the design, implementation, and evaluation of multi-disciplinary extension programs focusing on the value of water resources to Florida's economy, the effectiveness of water quality and allocation policies, and the costs of pollution abatement and water conservation strategies for agricultural and urban areas.



My research activities will continue to address the themes of competitiveness and growth, and the related policy implications.

With the theory of the decision making under adjustment using the dynamic directional distance function technology and extensions to productivity measurement established, the first direction is addressing empirical applications of dynamic decision making and their extensions are being explored. For the case of productivity growth, these approaches are known as the dynamic case of the Luenberger productivity growth indicators.   Applications to Spanish industries are explored so far, with more applications and theoretical extensions planned for the US food manufacturing is underway.

The second direction is in an early stage which involves the measuring the contribution firm Corporate and Social Responsibility (CSR) activities on firm value.  The conceptual framework is being developed in collaboration with an AEREC doctoral candidate. The notion is that the firm produces two types of outputs:  marketable (desired) outputs and undesirable outputs.  To combat these undesirable outputs, the firm can produce a third type of output, intended to mitigate the impact of the undesirable outputs. To complicate matters, some of the undesirable outputs are known and observable, other may be uncertain.  At the same time, some of the mitigating outputs can directly counter the undesirable outputs, but others may not.  Our plan is to work in conjunction with Hershey and related firms as well as the new industry watchdog group overseeing CSR interests.  The idea is to use the directional distance function approach to identify firm value and develop ranking measures of how well a firm is performing.  In particular, the gains of engaging in CSR compared to the costs of not undertaking CSR activities will be imputed. 

The third direction is to continue work assessing the industry and national-level effects of macroeconomic  uncertainty, market volatility and exposure to risk,  agricultural policies, and other market phenomena on agriculture requires an ability to link the effects of such forces on individual farmers and farm households to industry-level measures of the farming sector.  It is these aggregate representations that are the basis of policy development.  There are two drivers of this direction involve a) modeling uncertainty and its impact on farm performance and growth and b) modeling irreversibilities in gross investment arising from uncertainty can lead to non-smooth capital/quasi-fixed factor accumulation patterns, which can impact the supply and input response behavior.   

Tatiana Borisova Associate Professor and Extension Specialist, Water Economics and Policy