Acceso usuarios
Georgina Cipoletta Tomassian, Daniel Perrotti, Ricardo Sánchez
En la literatura económica, no existe un pleno consenso acerca del conjunto de variables explicativas que inciden sobre el desarrollo económico. Por otra parte, la vinculación entre el crecimiento y desarrollo económico y el desempeño logístico son tópicos de creciente interés en la literatura especializada. En este documento prestamos especial atención al papel del desempeño logístico como una de las variables explicativas del desarrollo económico. Para este fin, hemos estimado diferentes modelos econométricos que buscan explicar cómo se afecta la probabilidad de un país de ser desarrollado al considerar algunas variables explicativas tradicionales (la dotación de recursos naturales, la apertura económica, y variables institucionales, entre otras), junto con el desempeño logístico. La metodología aplicada se basó en la utilización de modelos probit. El principal hallazgo del trabajo ha sido el de encontrar una incidencia positiva entre el desempeño logístico y la probabilidad de un país de ser desarrollado. Particularmente, la probabilidad de un país de ser desarrollado se incrementa cuando mejora el desempeño logístico.
There is not a consensus about a complete set of explanatory variables that could ultimately explain the linkages behind achieving economic development. In spite of this, determinants of economic development and especially the linkages between economic development and logistics performance are topics of growing interest within the recent literature, both in economic growth theory and maritime studies. In this paper our attention is focused on the importance of logistics performance as one of the explanatory variables for economic development. To this end, we have estimated different econometric models in an attempt to explain the probability of a country being economically developed, based on a number of traditional explanatory variables (including natural endowments, economic openness, and institutional framework, among others) along with logistics performance as the major theoretical innovation. The applied methodology follows the binary choice framework described in probit models. In the next step the research is concentrated on the determination of possible endogenous causalities of the economic development. In the last section we estimate the logistics gap, measured as a probability of reaching economic development that varies due to differences in the levels of logistics performance. Our main finding shows that logistics performance is closely related to the probability of a country being developed. Specifically, the probability of being a developed country increases when logistics performance is improved.
