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Economic and Financial Analysis of Geospatial Information: The Albania Case Study March 21, 2017 Annual World Bank Land & Poverty Conference Aanchal anand, Land administration specialist ANDREW COOTE, CONSULTANT Kathrine kelm, senior land administration specialist
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Background Broader Strategic Dialogue at the World Bank Albania
Geospatial information – key enabler for the global development agenda (SDGs) Developing a corporate strategy, SDI diagnostic, and business lines to respond to client needs Albania New 5-year CPF of USD 1 billion investment with heavy focus on infrastructure Integrated Land Management Project (ILMP) under preparation Albania has recently set up a national spatial data agency – ASIG Project component investing in the development of NSDI – need for a business case First World Bank client country where such a business case is being developed
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Valuing Geospatial Information
Everyone agrees NSDI is important but how important is it? Where should the first investments go? Value for money / socio-economic return Marginal benefit vs. marginal cost Existing economic studies No standard framework or methodology High income countries only Developing countries’ analysis restricted to ex-post anecdotal evidence
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Approach Scope and Priorities: economic snapshot, Government priorities Land administration and management issues Literature Review In-person interviews (close to 100 people across 25 organizations) Big data (Instagram hashtags) Benefits transfer (GNI scaling)
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Direct Quantifiable Benefits: Summary Slide
Benefit Info Gathering Methodology Amount (EUR M) 1 National data sharing Interviews Multiplier 42.9 (project period) 2 Reduced court case cost Cost/case 1.3 (annual) 3 Improved Flood Prediction PDNA % of cost (per 5 year event) 4 Property Tax Collection Numbers from Municipality (annual) 5 Cost savings in infrastructure development Interviews/studies Cost of design surveys/cost of investment projects (annual) 6 Land Market Potential Studies Gap analysis 4.8% of GDP 7 Tourism Potential Instagram/Big Data Scaling 8.9 (annual) 8 Improved road navigation Benefits Transfer 3.66 (annual) 9 Improved Govt Efficiency Savings/employee; time savings (project period)
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Other Benefits Social cohesion EU accession Affordable housing
Better spatial planning – greater coordination, evidence-based Microfinance in Agriculture Climate change adaptation
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Value of Data Sharing (EUR 43M over project period)
Multiplier: 1x for essential + 0.2x for useful but non-essential Savings: one time cost plus ongoing maintenance cost
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Big Data: Instagram Hashtags to Determine Tourism Potential (EUR 8
Big Data: Instagram Hashtags to Determine Tourism Potential (EUR 8.9M annually) Big data and predictive analytics
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Improved Navigation (EUR 3.66 million annually)
Reduced congestion and journey times using road centerline data Benefits transfer using Oxera and BCG study, ‘The Value of Geo Services’ (2013)
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Preliminary Results: 2.5x:1 Return on Investment
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Conclusions Preliminary estimates suggest a 2.5x:1 return on investment Assumes a 12-year period (5 year implementation period and 7 years of use) 12% discount rate (conservative) There are other things we can as we finalize this analysis ROI can be further refined with more time and resources Stakeholder input is key – create a customized framework for the analysis Mixed method approaches that combine qualitative interviews with quantitative methodologies (big data analytics and benefits transfer) work best
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Next Steps Refine and verify numbers
Computable General Equilibrium Analysis to look at impacts on GDP Standardize methodology to easily and quickly deploy this analysis in other countries Benefits realization through monitoring and evaluation
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Next Steps: Computable General Equilibrium (1/2)
Reaction to economic shocks Provide a holistic view of the economy Comparative-static vs. dynamic models “Bulky” models that are challenging to build and operate for a solution
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Next Steps: Computable General Equilibrium (2/2)
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Land Conference 2018
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