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Royal Commission for Jubail & Yanbu World Bank UNDP

Spatial Economic Diagnostics

Spatial econometrics and GIS-based economic analysis for regional strategy, industrial location decisions, and territorial development planning.

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What Clients Are Dealing With

Regional and industrial planning decisions in South Asia and the GCC are persistently made without spatial evidence. Investment zones are designated on maps without analysis of economic concentration patterns, labour market catchments, or agglomeration externalities. Sector development strategies are prepared at the national level without disaggregating which sub-regions have the factor endowments and connectivity to actually host the targeted industries. Infrastructure corridors are aligned to political geography rather than economic geography.

The gap is methodological. Most planning consultancies operate with standard macroeconomic tools — input-output tables, CGE models, financial projections — but lack the capacity to integrate spatial econometric methods, GIS-based accessibility analysis, and establishment-level data into a coherent diagnostic. The result is strategy documents that look authoritative but cannot answer the fundamental question that drives investment decisions: where, specifically, does the economic logic hold, and where does it not?

The Analytical Approach

Spatial economic diagnostics begin with the construction of an economic geography baseline: how is productive activity distributed across the territory, what clustering and specialisation patterns exist, and how have these patterns shifted over the analytical period? Location quotient analysis and shift-share decomposition — distinguishing national growth effects from regional competitive advantage — provide the foundation for identifying where economic concentration is structurally grounded versus where it reflects historical policy distortion or infrastructure accident.

GIS-based analysis layers accessibility, labour market catchment, land-use compatibility, and infrastructure service area data onto the economic baseline. Spatial autocorrelation techniques — Moran's I, LISA cluster mapping — identify genuine agglomeration economies and flag areas of spatial dependence that standard aspatial models would miss. Where establishment-level or firm-level microdata are available, spatial econometric regression models quantify the productivity premium associated with proximity, density, and connectivity — providing the empirical basis for location-specific investment recommendations.

Outputs are calibrated to the decision at hand. For a national spatial strategy, the diagnostic produces a territorial typology that stratifies regions by growth potential and policy priority. For an industrial location decision, it produces a scored site comparison matrix with explicit spatial criteria weights. For a transport or infrastructure investment, it maps the economic catchment and estimates the productive capacity unlocked by improved connectivity.

What You Receive

Economic Geography Baseline Report
Location Quotient & Shift-Share Analysis
GIS-Based Accessibility & Connectivity Maps
Spatial Autocorrelation & Cluster Analysis (LISA)
Territorial Typology & Regional Prioritisation Framework
Industrial Location Scoring Matrix
Spatial Econometric Model & Regression Results

Representative Engagements

Case Study

Punjab Spatial Strategy 2017-2047

Client: World Bank | Government of Punjab

I worked on the Punjab Spatial Strategy (PSS)—a province-wide spatial planning framework developed to embed a spatial dimension into Punjab’s development process, strengthen integrated spatial planning, and guide Punjab’s transformation toward a more economically developed and sustainable trajectory.

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Case Study

Punjab Skills Mapping Exercise 2019–20

Client: TEVTA, Government of Punjab  · 3 Months

Economist and Deputy Project Director on TEVTA's Punjab-wide skills mapping exercise — conducting employer demand surveys, labour market gap analysis, and GIS-based skills mapping to align public vocational training with sectoral needs.

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Case Study

Yanbu Industrial City Economic Plan

Client: Royal Commission for Jubail & Yanbu (RCJY)  · 14 Months

Long-range economic plan for Yanbu Industrial City under RCJY mandate — aligning the city's industrial trajectory with Vision 2030 through sector competitiveness analysis, spatial-economic modelling, and a phased investment framework.

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Dr. Ghulam Mohey-ud-din

Senior Economic Planner, Parsons Corporation · RCJY, Saudi Arabia
PhD Economics · 18+ years · 20+ peer-reviewed publications · $60M+ programmes advised

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Spatial diagnostics assignments are typically structured as standalone analytical components within larger planning or investment mandates, or as independent advisory engagements of six to twelve weeks. Outputs are designed to integrate directly into World Bank, ADB, or national planning authority report formats. Remote delivery with periodic in-country presence is standard for GCC and South Asia mandates.

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