6 resultados para Productivity erosion

em Universidad del Rosario, Colombia


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En este documento se escribe el caso de Biomax, se hace un análisis de la regulación del sector de distribución de combustibles en Colombia, de Hacinamiento Cuantitativo, de erosión estratégica y de la productividad. También se hace una aproximación a la identificación de los comportamientos asociados al liderazgo transformacional y/o transaccional en la conducta del presidente de la compañía. Se presenta una reseña de la historia de la compañía y su modelo de negocio. Finalmente se encuentra que hay una inclinación en el presidente de la compañía hacia un estilo de liderazgo transformacional que puede estar relacionado con los logros que la compañía ha alcanzado en un corto periodo.

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El estudio sectorial aplicado a una Empresa Social del Estado (E.S.E) en la ciudad de Bogotá, se desarrolló a través de la aplicación de la metodología de análisis estructural de sectores estratégicos a fin de determinar el grado de hacinamiento en el que se encuentra, ubicar las oportunidades que aún no han explotado, conocer el nivel de atractividad del sector e identificar el comportamiento de los competidores para finalmente caracterizar el sector estratégico en términos de los elementos que determinan su comportamiento. Como resultado de las pruebas se evidenciaron cuatro elementos determinantes del comportamiento del sector, ausencia de barreras de entrada propias, existencia de supuestos que limitan la toma de decisiones, existencia de convergencia estratégica y erosión de la estrategia y de la productividad. Estos hallazgos permitieron al equipo de investigación realizar aportes con el fin de generar reflexión estratégica a la E.S.E, ampliar el panorama e implementar innovación conceptual hacia comportamientos diferenciadores que busquen mejorar la cadena de valor.

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This paper offers a productivity growth estimate for electric energy commercialization firms in Colombia, using a non-parametric Malmquist bootstrap methodology. The estimation and methodology serve two main purposes. First, in Colombia Commercialization firms are subject to a price-cap regulation scheme, a non-common arrangement in the international experience for this part of the industry. Therefore the paper’s result suggest an estimate of the productivity factor to be used by the regulator, not only in Colombia but in other countries where commercialization is a growing part of the industry (renewable energy, for instance). Second, because of poor data collection from regulators and firms themselves, regulation based on a single estimation of productivity seems inappropriate and error-prone. The nonparametric Malmquist bootstrap estimation allows an assessment of the result in contrast to a single one estimation. This would open an opportunity for the regulator to adopt a narrower and more accurate productivity estimation or override an implausible result and impose a productivity factor in the price-cap to foster the development of the industry.

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We investigate whether and how the type of unemployment benefit institution affects productivity. We designed a field experiment to compare workers’ productivity under a welfare system, where the unemployed receive an unconditional monetary transfer, with their productivity under a workfare system, where the transfer is received conditional on the unemployed spending some time on ancillary activities. First, we find that having an unemployment benefit institution, regardless of whether it makes transfers conditional or unconditional, increases workers’ productivity. Second, we find that productivity is higher under Welfare than under Workfare. Becoming unemployed under Welfare comes at the psychological cost of a drop in self-esteem, presumably due to the shame or stigma associated with receiving an unconditional unemployment benefit. We document the empirical relevance of precisely this channel. The differences we observe in productivity suggest that this psychological cost acts as an extra nonmonetary incentive for workers under Welfare to put a higher effort in their work.

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The causality between international trade and industrialization is still ambiguous. We consider a model of international trade with the Home Market Effect - with differences in income and productivity between sectors and between countries - in order to identify additional channels for determining the effects of international trade on industrialization. Introducing non-homothetic preferences and differences in productivity aids in the interpretation of any apparent paradoxes within international trade, such as the commercial relations between more populated countries like China and India and large economies such as the U.S. Population size, demand composition and productivity levels constitute the three main channels for determining the effects of international trade. Interactions among these channels define the results obtained in terms of industrialization, while welfare levels are always higher in relation to autarky.