No Management without Measurement17/03/2005 |
| Towards a GDI Business Model for Africa |
| GIS specialists in Africa are quickly seeing the horizon with respect to Geospatial Data Infrastructure (GDI); it is the bottom line that is proving elusive. Financial, budgeting and accounting measures need to be brought into the discourse. Accessing and allocating funds are key to identifying a functional business model for GDI and may also provide a mechanism for government co-ordination. |
| Kate Lance and Yola Georgiadou, International Institute for Geoinformation Science and Earth Obse |
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Recognition of the need for financial tracking of geospatial investment is not new. In 1934 a six-month intensive review was conducted of 28 federal agencies engaged in surveying and mapping in the United States. This study noted a disturbing proliferation and duplication of activity resulting in waste of funds. Federal surveying and mapping activity was found to be "enormous in volume, of confusing variety and to have developed independently and often without correlation in many different executive agencies."
Some African countries are, in fact, moving in this direction. Bright Spots in Sight The Sierra Leone Development Assistance Co-ordination Office (DACO) is establishing a development assistance database to track and monitor all commitment and aid inflow to Sierra Leone. In collaboration with the Ministry of Finance, Ministry of Development and Economic Planning and the Bank of Sierra Leone, DACO will ensure that external assistance data is systematically incorporated into the annual budget. The Sierra Leone Information System (SLIS), GIS-based, is part of DACO and those involved are aware of the need to track geospatial investments. Malawi CIDA recently launched its Project for Economic Governance, in collaboration with the Malawi Ministry of Finance. The cornerstone of this effort is an integrated database of information on funding agency and government expenditure that will be available to stakeholders in the area of public expenditure. At the moment there is no means of extracting from this database expenditure specifically devoted to geospatial activity; but some homework should make possible faster identification of geospatial investments. Egypt At the beginning of 2004, as part of an Egyptian Survey Authority effort to align its mapping production with user needs, ESA asked ministries to put in writing their data requirements with respect to content, scale, accuracy and symbology. ESA held several workshops with data users and is now preparing a work plan and budget for data production based on the received responses. The purpose is to inform each ministry of the cost of data indicated as needed by the ministry and to enable cost sharing of framework data production between ministries. Uganda Uganda is implementing a Poverty Eradication Action Plan (PEAP) framed around five pillars. The first is economic management. In order to attain PEAP objectives the government has introduced a government-wide co-ordination framework based on an inter-ministerial co-ordination mechanism. A National Integrated Monitoring and Evaluation Strategy (NIMES) has also been designed to minimise disjointed and duplicative activities. NIMES is not a new monitoring and evaluation system but harmonisation of existing national information systems to ensure that holistic countrywide, sector-wide and local government perspective is attained. NIMES is an innovative ‘whole-of-government’ approach in Africa, dealing explicitly with economic management; it is noteworthy that the co-ordination mechanism falls under high executive office, the Office of the Prime Minister. Zambia The Civil Society for Poverty Reduction (CSPR) conducted an analysis of Zambia's 2002 and 2003 budgets to determine whether the country’s Poverty Reduction Programs (PRP) were receiving the funding they needed. This study showed limitations in the government budget classification system prevented linkage of the Poverty Reduction Strategy Paper (PRSP) with PRPs. In specific terms it was (a) difficult to tell which PRPs matched up with PRSP objectives, and (b) the budget was not detailed enough to allow an accurate gauge of how much funding each PRP was actually receiving. Despite these limitations, certain inconsistencies between PRSP objectives and budget expenditure were identified. Based on PSRP projections, overall spending on PRPs should have been 56.8% of the budget, yet in 2002 it was only 7% and in 2003 it was only 10.5%. Although this example describes civil society monitoring of government poverty reduction expenditure, not geospatial expenditure, it does highlight the need for increased transparency in the budget classification system to facilitate tracking of expenditure. This is something that will need to be addressed if GDI advocates in Zambia begin to pursue geospatial investment tracking mechanisms. The example is also worth mentioning since it is a relatively new phenomenon in Africa for civil society organisations to monitor government spending. Giving It a Try Some may argue that a geospatial investment tracking approach requires a degree of motivation and capability that may be lacking in developing countries. However, even if the feasibility of a geospatial investments tracking mechanism is in doubt, any modest attempt at this could stimulate behavioural change. It might act like a placebo for the malady called ‘duplication of effort’. People might just focus better on leveraging resources - because they think that those around them are counting the beans. A human resources study carried out some decades ago at the Western Electric Company’s Hawthorne plant in Illinois found that production there increased not as a consequence of actual changes in working conditions but rather because staff perceived new interest in their work. Improved lighting had resulted in improved worker productivity; but a repeat study with decreased lighting revealed that this also improved productivity. The conclusion was that productivity gains were related not to brightness of lights but rather to the act of measuring. The Hawthorne Effect states that individuals alter their behaviour because they know they are being observed – applicable, perhaps, to some benevolent financial overseeing of geospatial investments? Acknowledgement Thanks are due to Milo Robinson of FGDC in providing the 1934, 1973 and 1993 studies. Further Reading
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| Biography of the Author(s) Kate Lance has worked on GDI in Africa for USGS EROS Data Center on USAID-supported projects. Regional SDI newsletters that she produces can be seen at www.gsdi.org. Kate Lance is a tropical forester by training and holds a master’s degree in Forestry from Yale University. She is currently consulting for a number of organisations whilst working for her PhD. Yola Georgiadou is associate professor in the Department for Planning and Geoinformation Management, ITC, The Netherlands. She is a geodetic engineer by training and holds a PhD from the University of Stuttgart. |
