The Value Chain Approach to Evaluate the Economic Impact of Geographic Information: Towards a New Visual Tool

Geographic Information (GI) is becoming more important everyday at all levels of society. GI has a central role in supporting economies, improving business effectiveness in the private sector, enabling more efficient governments, and increasing citizens’ quality of life. Assessing the value of digital information products, services and infrastructures is particularly complex due to the specific characteristics of GI as a not- standard economic good (Krek and Frank, 2000) and the nature of the GI market itself (Krek, 2006). One promising assessment approach is the value chain: value is created step-by-step along the chain. Thus, pricing in a value chain serves to determine the way in which the value created for the end user is distributed among the contributors. In theory, the value chain is one of the most suitable approaches to assess GI. However, it is also one of the most complex one due to the number of variables connected to how GI is produced and used. Therefore, it is often impossible to determine a single and constant value to specific GI (Longhorn and Blakemore, 2008) and a concrete example of application of a formal economic analysis based on the value chain concept still does not exist (Genovese et al., 2008). The EcoGeo project, in its first phase, has developed a prototype computer tool named Socioscope, which provides cartography of the links existing between various public and private contributors (Plante, 2006). In EcoGeo’s second phase, Socioscope will be upgraded and the value chain of the geomatic sector in Quebec will be defined. The final goal of the project is an economic evaluation for a test-area inside the value chain: the ability to measure the GI economic value will provide key decision support for both institutional and private sectors.

[1]  Claude Caron,et al.  Evaluating the socio-economic impact of Geographic Information: A classification of the literature , 2008, Int. J. Spatial Data Infrastructures Res..

[2]  Mark J. Safferstone Information Rules: A Strategic Guide to the Network Economy , 1999 .

[3]  R. Kaplinsky,et al.  A handbook for value chain research , 2002 .

[4]  Hal R. Varian,et al.  Information rules - a strategic guide to the network economy , 1999 .

[5]  Abbas Rajabifard,et al.  A Multi-view Framework to Assess Spatial Data Infrastructures , 2008 .

[6]  Arnold Bregt,et al.  Multi-view SDI Assessment Framework , 2007, Int. J. Spatial Data Infrastructures Res..

[7]  Joep Crompvoets National Spatial Data Clearinghouses: Worldwide development and impact , 2006 .

[8]  François Bergeron,et al.  A Framework for Evaluating Strategic Location-Based Applications in Businesses , 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences.

[9]  M. Porter Competitive Advantage: Creating and Sustaining Superior Performance , 1985 .

[10]  Wei Li,et al.  Institutions, Institutional Change, and Economic Performance , 2009, SSRN Electronic Journal.

[11]  Arnold K. Bregt,et al.  National Spatial Data Clearinghouses , 2007 .

[12]  A. Cox Power, value and supply chain management , 1999 .

[13]  Michael F. Goodchild GEOGRAPHIC INFORMATION SYSTEMS AND GEOGRAPHIC RESEARCH. , 1995 .

[14]  Richard Bernknopf,et al.  A cost-benefit analysis of The National Map , 2003 .