Hacia un modelo integral de la Economía Digital
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Este documento propone un modelo integral de 360 grados para medir la economía digital. Analiza 55 modelos previos y extrae 1578 indicadores, que clasifica en categorías como infraestructuras, empresas, recursos humanos, sociedad y políticas. Muestra que los modelos existentes se centran principalmente en indicadores de oferta e infraestructuras, y carecen de datos completos. Concluye que se necesita un enfoque más integral y equilibrado para diseñar mejores políticas y medir realmente el impacto de la economía digital.
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Hacia un modelo integral de la Economía Digital
- 1. Hacia un modelo integral de la Economía Digital Ismael Peña - López Universitat Oberta de Catalunya II Conferencia Internacional sobre Brecha Digital e Inclusión Social Leganés, 29 de Octubre de 2009
- 3. Hipótesis Intereses Institucionales Falta de datos Dificultades al medir Deficiente diseño de políticas Deficiente input para las políticas Deficiente medida del impacto /43
- 4. Modelo: 360º Digital Framework /43 Fuente: autor Activos Flujos Oferta Demanda Infrastructuras Disponibilidad Asequibilidad Sector TIC Empresas Economía Recursos Humanos Marco Legal Regulación (Sector) TIC Estrategias y Políticas Sociedad Información Contenido y Servicios Disponibilidad Intensidad de Uso Competencias Digitales Nivel de Alfabetitzación Digital Alfabetización Digital (Formación)
- 6. Estado de indicadores e índices (I) Distribución de indicadores a lo largo de las categorías – incluyendo indicadores analógicos Distribución de indicadores a lo largo de las categorías – incluyendo indicadores analógicos /43 Los gráficos muestran el número de indicadores (%) en todos los modelos de Economía Digital dentro de cada categoría Fuente: autor
- 7. Estado de indicadores e índices (I) Distribución de indicadores a lo largo de las subcategorías – incluyendo indicadores analógicos Distribución de indicadores a lo largo de las subcategorías – incluyendo indicadores analógicos /43 Los gráficos muestran el número de indicadores (%) en todos los modelos de Economía Digital dentro de cada categoría Fuente: autor
- 8. Estado de indicadores and índices (II) Distribución de indicadores a lo largo de las categorías – incluyendo indicadores analógicos Distribución de indicadores a lo largo de las categorías – incluyendo indicadores analógicos /43 Fuente: autor Los gráficos muestran el número de indicadores (%) en todos los modelos de Economía Digital dentro de cada categoría
- 9. El enfoque de las Telecos /43 Fuente: autor Los gráficos muestran el número de indicadores en determinados modelos de Economía Digital dentro de cada categoría
- 10. El enfoque del e-Readiness /43 Fuente: autor Los gráficos muestran el número de indicadores en determinados modelos de Economía Digital dentro de cada categoría
- 11. Conclusiones Intereses Institucionales Falta de datos Dificultades al medir Deficiente diseño de políticas Deficiente input para las políticas Deficiente medida del impacto /43
- 12. Conclusiones Intereses Institucionales Falta de datos Dificultades al medir Deficiente diseño de políticas Deficiente input para las políticas Deficiente medida del impacto /43 Diseños basados en fines específicos Diseños según disponibilidad de datos Sesgo hacia las infraes-tructuras Sesgo hacia indicadores de oferta
Notas del editor
- WH1: A lack of quality data leads to fragmented models of digital development that make it both difficult to measure policies that foster the Information Society and to measure the impact of those policies on digital development, an implication being that these policies could have a better design either by focusing on filling conceptual voids or including feedback from better measurement.
- Why not analogue indicators Infrastructures: Information and Communication Technologies. Can be divided into three groups: hardware, software and connectivity. Infrastructures, Availability: the presumed existence of these infrastructures. Infrastructures, Affordability: the cost for the end user of the acquisition of such infrastructures in relationship with one individual or community’s economic power – hence, the price in real terms. ICT Sector: The economic sector responsible for the provision of ICT Infrastructures ICT Sector, Enterprises / Industry: The existence of firms whose activities fits within the definition of the ICT sector. ICT Sector, Workforce: Skilled employees that work directly in the ICT Sector or whose activities are closely related to it . Digital Skills: Skills related relevant both to the use of electronic devices and the use of information in digital format Digital Skills, Digital Literacy Level: The measured levels of such skills in an individual or a community, both in relation to the number of literate people and the degree of their literacy. Digital Skills, Digital Literacy Training: The existence of courses, curricula or other training plans to increase the Digital Literacy Level. Policy and Regulatory Framework: Whether there are explicit rules, laws, policies, etc. that directly affect and try to put in order the Digital Economy. Policy and Regulatory Framework, ICT (Sector) Regulation: Rules created by the Legislative branch or other regulatory bodies to regulate the Digital Economy, especially the ICT Sector and its activities. Policy and Regulatory Framework, Information Society Strategies and Policies: Policies, strategic plans, etc. created by the Executive branch or other functions of government to frame their Digital Economy related policies. Content and Services: Content and services in digital form. Content and Services, Availability: The existence of such contents and services, including those arising from the private sector (for or without profit) and the public sector. Content and Services, Intensity of Use: The use of such content, measured both quantitatively and qualitatively.
- How is this chart built Designs based on a specific and applied purpose that fits the general goals of the fostering organization Designs adapted to the availability of data Unbalance towards infrastructure indicators – and telecommunications in particular –versus other kinds of indicators Imbalance between infrastructures and usage data
- How is this chart built Designs based on a specific and applied purpose that fits the general goals of the fostering organization Designs adapted to the availability of data Unbalance towards infrastructure indicators – and telecommunications in particular –versus other kinds of indicators Imbalance between infrastructures and usage data
- How is this chart built The prevalence of supply-side indicators means, for instance, that we are giving priority to the existence of infrastructure but leaving aside whether it is affordable for the end user Failing to measure the reasons for usage may actually lead to some towards paths of exclusion The imbalance between infrastructure + usage vs. other data categories leaves aside, once again everything in between what is to be used and the use of it, which we can call (as we did before) causes, or which we can call enablers.
- How is this chart built Raboy, M. (1998). “Global Communication policy and human rights”. In Noll, R. G. & Price, M. E. (Eds.), A communications cornucopia: Markle Foundation essays on information policy, 218-242. Washington, DC.: Brookings Istitution Press. Raboy, M. (1995). “Access to Policy, Policies of Access”. In Javnost—The Public, 2 (4), 51-61. Ljubljana: Euricom.
- How is this chart built Raboy, M. (1998). “Global Communication policy and human rights”. In Noll, R. G. & Price, M. E. (Eds.), A communications cornucopia: Markle Foundation essays on information policy, 218-242. Washington, DC.: Brookings Istitution Press. Raboy, M. (1995). “Access to Policy, Policies of Access”. In Javnost—The Public, 2 (4), 51-61. Ljubljana: Euricom.
- WH1: A lack of quality data leads to fragmented models of digital development that make it both difficult to measure policies that foster the Information Society and to measure the impact of those policies on digital development, an implication being that these policies could have a better design either by focusing on filling conceptual voids or including feedback from better measurement.
- WH1: A lack of quality data leads to fragmented models of digital development that make it both difficult to measure policies that foster the Information Society and to measure the impact of those policies on digital development, an implication being that these policies could have a better design either by focusing on filling conceptual voids or including feedback from better measurement.