Strategic Alignment with the Integrated Ecosystem Development Strategy
The Integrated Ecosystem Development Strategy (IEDS), recommended in Chapter 3, operationalizes a synchronized, cluster-integrated investment pathway that treats economic growth as a function of interdependent systems rather than isolated sectoral outputs. Consequently, the metrics and Key Performance Indicator (KPI) framework for the Bangsamoro Investment Roadmap Development (BIRD) 2026–2035 must transcend traditional siloed monitoring. It must measure cross-cluster synchronization, governance operating system health, and the conversion of foundational endowments into export-ready, culturally authentic, and environmentally sustainable value (Silva, 2026; Kaplan & Norton, 1992).
This chapter establishes a calibrated, evidence-based benchmarking architecture anchored in BARMM's master plans, regulatory frameworks, and international standards. Each KPI is phased to align with the IEDS implementation timeline: Phase 1: Foundation Building (2026–2028), Phase 2: Acceleration (2029–2031), and Phase 3: Consolidation & Global Integration (2032–2035). The framework ensures that progress is measurable, comparable, and adaptive, enabling policymakers, development planners, and investors to track systemic transformation rather than incremental activity. For continuity with the draft series, many tables retain 2030 as an interim checkpoint; the formal end-of-phase gates are 2028, 2031 and 2035. Where a 2031 value is not yet defined, it must be calibrated and approved rather than interpolated silently.
The KPI framework is designed to feed directly into the Balanced Scorecard (Chapter 5), which organizes metrics across four causal perspectives: Financial, Stakeholder, Internal Process, and Learning & Growth. This chapter provides the what and how much of measurement; Chapter 5 provides the why and so what by linking each KPI to strategic objectives and causal pathways. Together, Chapters 4 and 5 form the measurement and management engine of the BIRD 2026–2035 (Kaplan & Norton, 1996; Silva, 2026).
KPI Architecture and Calibration Methodology
The KPI register is calibrated against the IEDS sequence and organised by indicator definition, unit, source owner, reference period, disaggregation, reporting frequency, verification status and phase milestone. SMART criteria are applied alongside data-quality and feasibility tests. The source draft proposes three portfolio dimensions—cross-cutting operating-system metrics (30%), cluster-specific metrics (45%) and benchmark alignment (25%). These percentages are proposed management weights, not externally validated measures of causal contribution. They may be used for a composite only after each constituent indicator has a documented direction of improvement, normalisation rule, missing-data policy and approval record. Until then, dashboards should show raw indicators and their status separately.
B.1 Four Calibration Tiers
| Calibration Tier | Time Horizon | Strategic Focus | Strategy Phase Alignment | Data Verification Mechanism |
|---|---|---|---|---|
| Baseline | 2024-2025 | Diagnostic anchoring and gap identification | Pre-implementation | PSA-BARMM; MFBM Economic Briefs; Ministry Administrative Reports |
| Phase 1 gate | 2028 | Baseline confirmation, governance foundations, enabler deployment and readiness review | Phase 1: Foundation Building (2026–2028) | Approved definitions; source-owner-verified administrative records; audit and project-readiness evidence |
| Phase 2 gate | 2031 (2030 retained as interim checkpoint) | Value-chain acceleration, scale-up, export readiness and financing mobilisation | Phase 2: Acceleration (2029–2031) | Source-owner-verified administrative, sector, finance and outcome series; project-readiness and safeguards review |
| Phase 3 gate | 2035 | Consolidation, resilience, competitiveness and global integration | Phase 3: Consolidation & Global Integration (2032–2035) | Published official statistics, audited administrative records, verified investment and trade data, applicable accreditation evidence |
| Post-roadmap watch | Beyond 2035 | Long-term energy security and human-capital outcomes | Outside the BIRD 2026–2035 performance period | Retained only as a contextual outlook; not included in the 2035 composite |
B.1a KPI Calculation and Dashboard Metric Dictionary
Every indicator displayed in a MEL dashboard or Balanced Scorecard (BSC) perspective must have a version-controlled metric specification. The table below defines the common calculations; indicator-specific numerator, denominator, unit, disaggregation and exclusions must be recorded in the KPI register before publication.
| Metric / BSC use | Calculation | Interpretation and control |
|---|---|---|
| Percentage / rate | (Eligible cases meeting the stated condition ÷ all eligible cases in the defined population and period) × 100 | Publish numerator, denominator, population, reference period and exclusions. Never treat missing records as zero. |
| Annual investment approvals (₱) | Sum of the approved value of distinct projects formally approved during the reporting year | Separate approvals from commitments, actual capital expenditure, disbursements and operational projects. Deduplicate projects; disclose whether cancelled or amended approvals are netted off. |
| GRDP and GRDP growth | GRDP is the official PSA series; annual growth = ((current-year GRDP ÷ previous-year GRDP) − 1) × 100 | Use the same price basis and published vintage across comparisons. Do not splice current-price and constant-price series or treat planning targets as observed data. |
| Exports / product or sector value | Sum the value of eligible exports within the defined product, origin, destination and reporting-period scope | Record currency, valuation basis, product classification, data owner and revision date. Avoid adding subcategories already included in total exports. |
| Count / cumulative reach | Count unique eligible entities or people meeting the indicator definition by the cut-off date | Use persistent IDs and deduplication. Distinguish annual flow from active stock, cumulative reach and currently active entities. |
| Completion / execution rate | For budget execution: eligible expenditure ÷ approved allotment or other explicitly chosen official denominator × 100. For physical completion: independently verified completed units ÷ planned units × 100. | Do not combine financial execution with physical delivery. Define denominator, cut-off date, treatment of variations and source system. |
| Average processing time | Sum of elapsed calendar or working days for completed eligible cases ÷ number of completed eligible cases | State whether calendar or working days; publish median and percentile values where feasible; disclose open cases and paused-clock rules. |
| Survey / satisfaction score | Documented scoring rule applied to valid responses; publish valid n, scale, question wording, weighting and uncertainty where appropriate | Survey diagnostics are not administrative baselines. A consented sample of 76 responses does not automatically represent the whole investor or business population. |
| Provincial disparity (percentage-point spread) | Maximum provincial value − minimum provincial value for the same indicator, year and method | Use a consistent geography and population. Show province-level values and missing geographies; do not use percentage change when the intended measure is a percentage-point spread. |
| Composite BSC / portfolio score | Only after approval: weighted sum of directionally aligned, normalised and quality-checked indicator scores, using the approved weights and coverage rules | Publish normalisation method, bounds, weights, indicator coverage, treatment of missing values and sensitivity checks. Do not silently redistribute weights when data are missing. |
| Target achievement / gap to target | For a higher-is-better indicator: actual ÷ target × 100. For a lower-is-better indicator: target ÷ actual × 100, where meaningful and actual is non-zero. | Use only for compatible units and periods. For zero, negative, bounded or non-ratio metrics, show the absolute gap or a purpose-designed rule instead. |
The calibration architecture ensures that KPIs remain responsive to IEDS synchronization requirements. Cross-cluster metrics are prioritized to prevent siloed progress from masking systemic bottlenecks. For example, tracking halal certification processing speed (Transformers cluster) in isolation would miss its direct influence on export volume (Connectors cluster) and investor retention (Stakeholder perspective). The framework explicitly maps these interdependencies, ensuring that lagging indicators in one cluster trigger diagnostic attention in connected clusters (Silva, 2026).
B.2 The Six Pareto KPIs
For executive monitoring, the BIRD framework uses six Pareto-style headline KPIs as a compact management shortlist. They should not be interpreted as a statistically established claim that exactly 80% of IEDS impact is caused by six variables; they provide a high-signal navigation layer that complements the full KPI register. These KPIs are tracked in real-time through the BIF-Net/MEL dashboard (proposed operating model) and serve as the primary navigational instruments for strategy execution. Each Pareto KPI is linked to specific Leverage Points (LP1-LP5) and Systems Archetypes, enabling rapid identification of intervention points when deviations occur (Silva, 2026).
| # | KPI | Baseline (2024) | 2028 Gate | 2030 Checkpoint | 2035 Target | Primary CLPs | Data Source |
|---|---|---|---|---|---|---|---|
| 1 | Annual Investment Approvals (₱B) | ₱5.1B | ₱6.5B | ₱10B | ₱15B+ | LP1 + LP3 | MTIT–Bureau of Investments administrative investment-approval records (subject to source-owner verification) |
| 2 | BARMM GRDP (₱B) | ₱299.5B | ₱385B | ₱440B | ₱550B+ | LP1 + LP2 | PSA-BARMM quarterly |
| 3 | Total Export Value (₱B) | <₱10B | ₱20B | ₱26B | ₱40B+ | LP1 | PSA-BARMM trade data |
| 4 | Halal-Certified MSMEs | ~500 | 1,500 | 3,000 | 5,000+ | LP1 | BHB certification logs |
| 5 | Electrification Rate (%) | Baseline requires source-owner verification | Proposed milestone; confirm after baseline | Proposed milestone; confirm after baseline | Proposed milestone; confirm after baseline | LP2 | DOE/MPW field data |
| 6 | Broadband Connectivity (%) | <30% | 58% | 70% | 85% | LP2 | DICT/MICT surveys |
To prevent the "Fixes that Fail" systems archetype, the BIRD framework employs adaptive recalibration: incentives and resource releases are conditional on enabler capacity meeting production demand thresholds. If a KPI deviates >15% from its approved trajectory, the following protocol activates:
Step 1: Alert through the dashboard only after the relevant data connector and notification rule have been tested.
Step 2: Cross-cluster diagnostic — is the deviation caused by internal cluster failure or upstream/downstream dependency?
Step 3: Leverage-point diagnosis — which of the five CLPs and relevant BSC objectives addresses the root cause?
Step 4: Trigger-based intervention — recommend resequencing, corrective action or escalation to the legally responsible decision-maker; funding changes require the applicable approval process.
Cross-Cutting Operating Systems Metrics
The IEDS positions Moral Governance, Resilience, Inclusivity, and Peace as the operational backbone of economic transformation. KPIs in this dimension measure institutional health, adaptive capacity, equitable participation, and security-investment alignment. The draft assigns these cross-cutting metrics a proposed 30% portfolio weight because they function as systemic multipliers — improvements in governance transparency, climate resilience, social inclusion, and peace directly amplify performance across all five BEIE clusters (Silva, 2026; OCM-BARMM, 2020).
C.1 Moral Governance
Moral Governance, anchored in the Bangsamoro Moral Governance Framework 2020-2035 (OCM-BARMM, 2020), is the operating system that determines whether all other clusters function effectively. The framework operationalizes Islamic ethics (khalifa stewardship), transparency, and accountability as foundational governance principles. KPIs in this dimension track the institutionalization of these principles across BARMM government operations (Silva, 2026).
| KPI | Baseline (2024) | 2028 Gate | 2030 Checkpoint | 2035 Target | Lead Agency | Policy Anchor |
|---|---|---|---|---|---|---|
| Public financial disclosure compliance rate | ~65% (est.) | 80% | 95% | 100% | OCM-BARMM | BMGF 2020-2035 |
| Investor ombudsman operationalisation | Not established | Established | Fully functional | 8.0+/10 satisfaction | MTIT–Bureau of Investments | BIC; BEGMP 2025–2030 |
| Digital procurement and licensing adoption | <30% | 70% | 90% | 100% | MFBM / DICT | BEGMP 2025–2030 |
| Budget execution rate | <80% | 85% | 88% | >90% | MFBM | BDP 2023–2028 |
| Inter-agency coordination score | ~5.5/10 | 6.5/10 | 7.5/10 | 8/10 | BDP / Bangsamoro Corp | BDP / MOA framework |
The budget execution rate KPI is particularly critical because it captures the absorptive capacity constraint that has historically undermined BARMM's development. At less than 80% execution, BARMM effectively leaves 20%+ of allocated funds unspent — a pattern that constitutes both fiscal waste and lost development opportunity. The 2035 target of >90% requires systematic reform of procurement processes, human resource deployment, and inter-agency coordination. Provincial variation is significant: Maguindanao del Norte (administrative centre) likely exceeds 85% execution, while the SGA (8 newly created municipalities) may execute below 60% due to capacity constraints. The BEGMP digital platform provides real-time tracking of budget execution at provincial and municipal levels, enabling targeted capacity-building interventions (MFBM, 2025; BDP, 2023).
C.2 Resilience
Resilience metrics capture BARMM's capacity to absorb, adapt to, and recover from climate shocks, economic disruptions, and security incidents. The climate resilience dimension is particularly urgent: El Nino-induced crop losses of ₱346 million in Maguindanao del Sur (2024) and Pestalotiopsis disease infestation of 800+ hectares of rubber plantations demonstrate the vulnerability of the agricultural base that supports 32.4% of BARMM's GRDP (MENRE-BARMM, 2024; PSA-RSSO BARMM, 2025).
| KPI | Baseline (2024) | 2028 Gate | 2030 Checkpoint | 2035 Target | Lead Agency | Policy Anchor |
|---|---|---|---|---|---|---|
| Climate-risk screening coverage for major projects | 0% | 60% | 85% | 100% | MENRE | Climate Resilience Master Plan 2024–2035 |
| Regional resilience index operationalisation | Not developed | Pilot deployed | Fully integrated | standardised reporting | MENRE / BPDA | Food, Water & Energy Security Framework 2025–2035 |
| Early warning system coverage (provinces) | 2 (est.) | 4 | 5 | Coverage of all currently applicable and formally recognised jurisdictions (verify denominator) | MENRE / OCD | Climate Resilience Master Plan |
| Climate-takaful products deployed | 0 | 2 | 5 | 10+ | MFBM / Al-Amanah | Climate Resilience Master Plan |
C.3 Inclusivity
Inclusivity metrics ensure that economic growth translates into equitable benefit distribution across provinces, genders, age groups, and marginalized communities. With poverty incidence at 34.8% (nationally highest), functional literacy at 59.3% (vs. 91.6% national), and significant provincial disparities (Maguindanao del Sur at 53% vs. Lanao del Sur at 31.5%), inclusivity is not merely a social objective but an economic imperative — inclusive growth generates larger markets, more productive workforces, and more stable communities (PSA, 2024; PSA-RSSO BARMM, 2024).
| KPI | Baseline (2024) | 2028 Gate | 2030 Checkpoint | 2035 Target | Lead Agency | Policy Anchor |
|---|---|---|---|---|---|---|
| MSME participation in priority value chains | <35% | 50% | >60% | >75% | MTIT-ETD / MOLE | BIDP 2025–2035 |
| Gender-balanced employment in registered firms | ~42% | 48% | 50% | 50%+ | MOLE / BWC | BIDP 2025–2035; SDG 5 |
| Functional literacy rate (ages 10+) | 59.3% | 68% | 72% | 75%+ | DepEd-BARMM / TESDA | BDP 2023–2028 |
| Provincial growth disparity (max-min pp) | 3.9 pp | <2.5 pp | <2.0 pp | <1.5 pp | BPDA / MFBM | BDP 2023–2028; IEDS equity targets |
| Women-led enterprises supported | TBD | TBD | 2,000 | 10,000 | BWC / MTIT | BIDP 2025–2035; SDG 5 |
| Youth-led enterprises supported | TBD | TBD | 1,500 | 7,500 | BYC / MTIT | BIDP 2025–2035 |
| IDP resettlement/return rate | <50% | 80% | 100% | 100% (subject to an agreed eligibility denominator) | OPAPRU-BARMM | BPDP 2024–2035; Normalization Plan |
C.4 Peace and Security
Peace and security metrics capture the intersection of conflict dynamics and investment climate. BARMM's post-conflict context — including Basilan's ASG-free declaration (June 2024), the Marawi rehabilitation (₱15B+), and ongoing normalization of former combatants — requires KPIs that track both security outcomes and their translation into investor confidence (OPAPRU, 2024; PIA, 2025).
| KPI | Baseline (2024) | 2028 Gate | 2030 Checkpoint | 2035 Target | Lead Agency | Policy Anchor |
|---|---|---|---|---|---|---|
| Decommissioned combatant reintegration rate | ~62% | 80% | 100% | Sustained >95% | OPAPRU-BARMM | BPDP 2024–2035; Normalization Plan |
| Annual reduction in rido/conflict incidents | Baseline year | >10% cumulative | >15% cumulative | >20% cumulative | MPOS / BTA | Community-Led Peacebuilding Framework |
| Investor perception improvement index | Baseline survey | +10% cumulative | +15% cumulative | +25% cumulative | MTIT–Bureau of Investments / relevant peace-and-governance data owners | Narrative Management Framework |
| Security-incident-free investment zones | 2 (est.) | 4 | 6 | All economic zones | MPOS / MTIT–Bureau of Investments (coordination) | Security-Investment Dashboard |
Investor perception may be tested as a leading indicator of investment approvals, but a 6–12 month lag and any correlation coefficients must not be treated as established until the underlying dataset, sample, instrument, period and statistical method are documented and independently reproduced. The latest linked validation survey contains 76 consented responses under analyticsVersion 2; that diagnostic sample alone does not establish official investor satisfaction or validate causal effects. Chapter 5 therefore treats pathways from process quality and peace-and-security conditions to investment outcomes as hypotheses for repeated measurement, not as proven causal relationships.
==================== SECTION D ====================Cluster-Specific Performance Indicators
Cluster KPIs are calibrated to measure throughput, value addition, market access, and financial channeling. Each indicator is explicitly linked to IEDS synchronization requirements and master plan milestones. The draft assigns these metrics a proposed 45% portfolio weight and are organized around the five BEIE clusters: Foundations (agriculture, fisheries, forestry, energy, environment), Transformers (industry, manufacturing, logistics, halal, tourism, MSMEs), Enablers (infrastructure, digital, health, education, human capital), Connectors (trade, exports, BIMP-EAGA, digital trade), and Financiers (Islamic banking, takaful, microfinance, waqf) (Silva, 2026).
D.1 Foundations Cluster
The Foundations Cluster captures BARMM's natural resource endowments — agriculture (32.4% of GRDP), fisheries, forestry, and renewable energy (75.86% mix). KPIs in this cluster measure productivity gains, post-harvest loss reduction, cooperative strengthening, renewable energy expansion, and environmental conservation. Provincial data integration is essential because each province specializes in different commodities: Basilan (rubber, 48,366 ha, 69,392 MT), Tawi-Tawi (seaweed, 40% national output), Lanao del Sur (pineapple, corn, Lake Lanao fisheries), and Maguindanao del Sur (rice, corn, coconut) (PSA-RSSO BARMM, 2024; MAFAR, 2025).
| KPI | Baseline (2024) | 2028 Gate | 2030 Checkpoint | 2035 Target | Policy Anchor |
|---|---|---|---|---|---|
| Priority crop yield increase (rice, corn, rubber, seaweed) | Baseline | +10% | +13% | +15% | MAFAR Agro-Industrial programmes |
| Post-harvest loss reduction | 20-40% | 25% | 30% | 30%+ | MAFAR / MPW cold chain mandate |
| Farmer/fisher cooperative strengthening | ~300 | 400 | 450 | 500+ | MAFAR extension / SPDA corridor |
| Renewable energy mix share | Verify definition and source | Proposed milestone | Proposed milestone | Proposed milestone | BSEMP 2025–2035 |
| Household electrification rate | Source-owner verification required | Proposed milestone; confirm after baseline | Proposed milestone; confirm after baseline | Proposed milestone; confirm after baseline | BSEMP / DOE grid projects |
| ZBIP completion / Mindanao grid integration | Under construction | 80% complete | Operational | Fully integrated | BSEMP / DOE |
| REDD+ program operationalisation | Not registered | Baseline audit | Registered / verified | Revenue generating | Forestry Code / MENRE-MILG JMC 2026-01 |
| NTFP enterprise revenue generation | Minimal | ₱50M | ₱100M | ₱150M+ | Forestry Code / Community forestry |
| Net forest cover increase | Baseline | +4% | +7% | +10% | BIMP-EAGA EGL / Forestry Code |
The post-harvest loss reduction KPI illustrates the cross-cluster dependency that the BIRD framework captures: reducing losses from 20-40% to 30%+ requires cold chain infrastructure (Enablers cluster), cooperative organisation (Foundations cluster), and market linkages (Connectors cluster). Basilan's 69,392 MT rubber production currently loses an estimated 25-30% value between harvest and export due to lack of processing facilities — a loss of approximately ₱400M annually that could be captured through halal-certified rubber goods manufacturing if the Transformers cluster develops concurrently (MAFAR, 2025; MTIT-BARMM, 2025).
D.2 Transformers Cluster
The Transformers Cluster measures value addition, manufacturing, and market-readiness across halal industry, tourism, MSME development, and ecozone operations. This cluster is where BARMM's foundational endowments are converted into export-ready products and services. KPIs track halal certification expansion, export value growth, tourism development, MSME formalization, and industrial locator performance (MTIT-BARMM, 2025; BEZA, 2025).
| KPI | Baseline (2024) | 2028 Gate | 2030 Checkpoint | 2035 Target | Policy Anchor |
|---|---|---|---|---|---|
| Halal-certified MSMEs | ~500 | 1,500 | 3,000 | 5,000+ | BHIDP 2025–2030 |
| BHB OIC/SMIIC accreditation status | Pending | Provisional alignment | Full accreditation | MRA signed | BHIDP / SMIIC Standards |
| Halal export value | <₱500M | ₱1.5B | ₱3B | ₱5B+ | BHIDP / MTIT export corridor |
| Annual tourist arrivals | <500K | 1M | 2M | 3M | BTDP 2024–2033 |
| Tourism infrastructure investment deployed | Baseline | ₱150M | ₱300M | ₱467.8M+ | BTDP / BEDC |
| Sustained MSME operations | Baseline | 12,000 | 16,000 | 20,000+ | BMSMED 2026–2032 |
| Digitally enabled MSMEs | <1,000 | 2,500 | 3,500 | 5,000+ | BMSMED / BEGMP |
| Ecozone investment pipeline | ₱1.35B | ₱1.6B | ₱1.8B | ₱2B+ | BEZA / PFEZ expansion |
| Industrial locators operational | ~40 | 60 | 80 | 100+ | BEZA / PPP frameworks |
The halal-certified MSME trajectory — from ~500 (2024) to 5,000+ (2035) — is the single highest-leverage Transformers KPI because each certified MSME represents: (a) a micro-enterprise with formal market access, (b) a household with increased income, (c) a node in the halal value chain, and (d) a data point in the BHB certification system. At scale, 5,000+ certified MSMEs create a self-reinforcing ecosystem where certification demand drives BHB capacity, BHB capacity drives certification quality, and certification quality drives export revenue. This is the Investment-Development Virtuous Cycle (R1) identified in Chapter 3-2 (Silva, 2026; BHIDP, 2025).
D.3 Enablers Cluster and Human Capital
The Enablers Cluster captures the physical, digital, and human infrastructure that enables all other clusters to function. This is the highest-priority cluster in IEDS Sequence A (2026-2028) because, as the systems mapping in Chapter 3-2 demonstrated, infrastructure and human capital deficits constitute the binding "Limits to Growth" constraints that stall economic transformation. The Enablers KPIs are divided into two sub-dimensions: physical/digital infrastructure and human capital development (BEGMP, 2025; TESDA-BARMM, 2025).
| KPI | Baseline (2024) | 2028 Gate | 2030 Checkpoint | 2035 Target | Policy Anchor |
|---|---|---|---|---|---|
| Government offices with broadband connectivity | <40% | 70% | 90% | 100% | BEGMP 2025–2030 |
| Civil servants trained in digital governance | <150 | 300 | 400 | 500+ | BEGMP / BDTA |
| Functional Negosyo Centers | ~60 | 80 | 90 | 100+ | BMSMED / LGU mandates |
| Entrepreneurs with digital literacy certification | Baseline | 4,000 | 7,000 | 10,000 | BMSMED / DICT |
| Inter-agency coordination score | ~5.5/10 | 6.5/10 | 7.5/10 | 8/10 | BDP / Bangsamoro Corp |
| Tourism jobs created (Isabela baseline: 2,049) | 2,049 | 3,500 | 5,000 | 8,000+ | BTDP / BEDC sub-committee |
The human capital development sub-dimension addresses BARMM's most persistent binding constraint: the lowest functional literacy rate in the Philippines (59.3% vs. 91.6% national). Human capital is the "software" that determines whether physical infrastructure investments generate returns — a road without skilled drivers is underutilized, a processing facility without trained technicians is inefficient, and a digital platform without literate users is empty. The human capital KPIs span employment, education, skills alignment, health access, and digital literacy (PSA, 2024; TESDA-BARMM, 2025; MOLE, 2025).
| Category / KPI | Baseline | 2028 Target | 2035 Target | Data Source |
|---|---|---|---|---|
| Employment and Employability | ||||
| Employment Rate | 94.2% (2022) | 95.0% | 96.0% | PSA-BARMM |
| TVET Graduate Employment Rate | 70.9% (2022) | 75.0% | 80.0% | TESDA-BARMM |
| Underemployment Rate | 10.2% (2022) | 9.0% | 7.0% | PSA-BARMM |
| Youth Employment Rate (15-30 years) | TBD | 75.0% | 80.0% | PSA-BARMM |
| Female labour Force Participation Rate | TBD | 55.0% | 60.0% | PSA-BARMM |
| Education and Training | ||||
| Functional Literacy Rate (ages 10+) | 59.3% | 68% | 75%+ | PSA FLEMMS |
| TVET Graduates in Priority Sectors | TBD | 5,000/year | 10,000/year | TESDA-BARMM |
| TVET Centers Operational | TBD | 50 | 100 | TESDA-BARMM |
| Students Enrolled in STEM programmes | TBD | 15,000 | 35,000 | DepEd-BARMM |
| Teacher-Student Ratio | TBD | 1:35 | 1:30 | DepEd-BARMM |
| Skills Alignment and Industry Demand | ||||
| Training Regulations Developed for Priority Sectors | 0 (Agriculture, Halal) | 5 TRs | 15 TRs | TESDA-BARMM |
| Heavy Equipment Operators Certified | TBD | 500/year | 1,500/year | TESDA-BARMM |
| Halal Auditors / Food Safety Officers Certified | 0 | 100 | 500 | BHB / MTIT |
| Mechanized Farming Specialists Trained | 0 | 300/year | 1,000/year | TESDA-MAFAR |
| Health Service Access | ||||
| Physician-to-Population Ratio | 1:18,500 | 1:10,000 | 1:6,000 | MOH-BARMM |
| Hospital Beds per 1,000 Population | TBD | 1.5 | 3.0 | MOH-BARMM |
| Child Stunting Prevalence (<5 years) | 45% | 35% | 20% | PSA / DOH |
| Digital Literacy and ICT Skills | ||||
| Digital Literacy Rate (Basic ICT Skills) | TBD | 40% | 70% | MICT-BARMM |
| ICT / Digital Literacy Centers Established | 0 | 50 | 100 | MICT-BARMM |
| STEM Scholarship Graduates | TBD | 500/year | 1,500/year | MOST-BARMM |
D.4 Connectors Cluster
The Connectors Cluster measures trade facilitation, export readiness, BIMP-EAGA integration, and digital trade infrastructure. This cluster becomes the priority in IEDS Sequence C (2032-2035) because market access is only valuable when production capacity (Transformers) and logistics infrastructure (Enablers) are already in place. Premature focus on Connectors without adequate Foundations, Transformers, and Enablers creates "empty corridors" — trade routes with insufficient volume to justify their cost (BIMP-EAGA, 2024; MTIT-BARMM, 2025).
| KPI | Baseline (2024) | 2028 Gate | 2030 Checkpoint | 2035 Target | Policy Anchor |
|---|---|---|---|---|---|
| BIMP-EAGA cross-border trade volume | Baseline | +20% | +35% | +50% | EGL Strategic Plan 2025-2028 |
| Halal export corridor activation (UAE/GCC) | Pipeline | Operational | ₱1B volume | ₱2B+ volume | BHIDP / MAFAR-Prime |
| Digital customs clearance adoption | <15% | 40% | 65% | 85% | BEGMP / Bureau of Customs |
| Halal hospitality and tourism facilities certified | ~20 | 50 | 100 | 200+ | BTDP / BHB |
| Provincial investment facilitation offices | 1 (Cotabato) | 3 | 5 | Coverage to be calibrated against the verified territorial and administrative baseline | BIRD Ch. 11 / proposed provincial facilitation model |
D.5 Financiers Cluster
The Financiers Cluster measures the depth and reach of Islamic banking, takaful, microfinance, and waqf instruments across BARMM. With Islamic banking assets below ₱2 billion and adult financial inclusion at approximately 38% (vs. national targets of 70%+), the Financiers cluster represents both a significant gap and a transformative opportunity. Islamic finance is uniquely aligned with BARMM's identity — Shariah-compliant instruments provide culturally appropriate financial access for Muslim communities that may avoid conventional banking for religious reasons (IsDB-ICD, 2025; BSP, 2024).
| KPI | Baseline (2024) | 2028 Gate | 2030 Checkpoint | 2035 Target | Policy Anchor |
|---|---|---|---|---|---|
| Islamic banking assets in BARMM | <₱2B | ₱8B | ₱14B | ₱20B+ | IsDB-ICD / BSP-BARMM |
| Adult financial inclusion rate | ~38% (verify) | Baseline + definition required | Baseline + definition required | Target to be set after verification | Financial Inclusion Strategy 2024-2030 |
| Islamic banking branches/outlets | ~15 | 40 | 70 | 100+ | CARD / Al-Amanah expansion |
| MSME accounts with Shariah-compliant products | <5,000 | 20,000 | 35,000 | 50,000+ | BSP / Cooperative mandates |
| Annual investment approvals (MTIT–Bureau of Investments) | ₱5.1B (Q1 2026) | ₱8B p.a. | ₱12B p.a. | ₱15B+ | SIPP 2022 / MFBM tracking |
| Waqf-managed community enterprises | ~12 | 25 | 40 | 60+ | MTIT-ETD / LGU endowment |
The existing baseline (approximately 38%) and the draft trajectory must not be compared until the indicator definitions, population, denominator, reference year and product coverage are harmonised. General formal financial inclusion and penetration of Shariah-compliant products are distinct measures. Establish and publish separate definitions and source-owner-confirmed baselines before setting numerical targets. Institutions may then report account ownership, active-use rates, geographic access and Shariah-compliant product uptake as separate indicators, avoiding denominator drift.
==================== SECTION E ====================International, National and Regional Benchmark Alignment
To ensure global competitiveness and policy coherence, BIRD KPIs are explicitly calibrated against four external benchmarking frameworks: OIC/SMIIC halal standards, ESG disclosure criteria, the Philippine Development Plan (PDP) 2023–2028, and the UN Sustainable Development Goals (SDGs). This multi-layer alignment ensures that BARMM's metrics remain investable, auditable, and comparable to ASEAN and OIC member economies — critical for attracting foreign direct investment, accessing ODA and climate finance, and securing halal market recognition (SMIIC, 2021; NEDA, 2023; UNDP, 2023).
| Benchmark Framework | Alignment Indicator | BARMM Baseline | 2030 Target | 2035 Target | Reference Standard |
|---|---|---|---|---|---|
| OIC/SMIIC Halal Standards | |||||
| OIC/SMIIC | Halal certification processing time | 45-60 days | 30 days | ≤21 days | SMIIC Strategic Plan 2021–2030; BHIDP |
| OIC/SMIIC | BHB international accreditation | 3 provisional bodies | Full OIC alignment | MRA signed | OIC/SMIIC standards |
| ESG / Climate Disclosure | |||||
| ESG | Renewable energy share | 75.86% | 82% | 85%+ | MENRE BSEMP; TCFD disclosure |
| ESG | Poverty incidence | 34.8% (1H 2023) | <25% | <20% | PSA; SDG 1; BIDP |
| ESG | Business registration time | Multiple days | 2 days | 1 day (digital) | BEGMP; Ease of Doing Business Act |
| ESG | Investor aftercare satisfaction | Not measured | 7.0/10 | 8.0+/10 | proposed MTIT–Bureau of Investments investor-aftercare protocol |
| Philippine Development Plan 2023–2028 | |||||
| PDP | GRDP growth rate | 2.7% (2024) | 5.0% p.a. | 5-6% p.a. | NEDA PDP; BDP 2023–2028 |
| PDP | MSME share to GDP | ~36% | 38% | 40% | DTI-MSMED; PDP target |
| PDP | Investment-to-GDP ratio | ~25.5% | 28% | 30% | NEDA; CREATE MORE Act alignment |
| UN Sustainable Development Goals | |||||
| SDGs | Quality education (literacy) | 59.3% | 72% | 75%+ | SDG 4; DepEd/TESDA alignment |
| SDGs | Climate action (resilience screening) | 0% | 85% | 100% | SDG 13; MENRE Climate Plan |
| SDGs | Decent work and gender parity | ~42% | 48% | 50%+ | SDG 5 & 8; MOLE mandates |
| SDGs | No poverty (incidence reduction) | 34.8% | <25% | <20% | SDG 1; PSA; BIDP |
The benchmark alignment analysis reveals strategic complementarities and potential tensions. The strongest alignment is between the SDGs and PDP — both frameworks prioritize poverty reduction, education, and inclusive growth, creating a unified national-regional policy environment. The OIC/SMIIC halal standards provide a distinctive benchmark that differentiates BARMM from other Philippine regions — no other region tracks halal certification processing time or OIC accreditation status, giving BARMM a unique positioning metric for Islamic market investors.
The ESG framework adds a global investability dimension. With international investors increasingly screening for ESG compliance, BARMM's renewable energy share (75.86%, already among the highest in the Philippines), carbon credit potential (1M+ tCO2e/year target), and climate-risk screening coverage (0% → 100%) create compelling ESG narratives for green finance and climate-focused development partners. The TCFD (Task Force on Climate-Related Financial Disclosures) alignment ensures that BARMM's climate metrics meet international reporting standards, enabling access to green bonds, climate insurance, and carbon market mechanisms (MENRE-BARMM, 2024; NEDA, 2023).
The draft proposes three weighted dimensions for a future composite score:
Cross-Cutting OS Metrics (proposed 30%): Moral Governance, Resilience, Inclusivity, Peace & Security — systemic multiplier effect on all clusters.
Cluster-Specific Throughput (proposed 45%): Foundations, Transformers, Enablers, Connectors, Financiers — direct production and service delivery.
Benchmark Alignment (proposed 25%): alignment with OIC/SMIIC, relevant ESG disclosures, PDP and SDGs — global competitiveness and investability.
Note: Weights are calibrated to prioritize ecosystem health over isolated output maximization. A province could score highly on cluster throughput while failing on inclusivity. The proposed 30% OS weight is intended to make this trade-off visible, but it does not itself prevent inequity unless the indicator normalisation, geography, missing-data rule and approval process are implemented consistently. Until these scoring rules are approved, report the dimensions separately and do not publish a single composite as an audited measure.
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Chapter 5: Balanced Scorecard, Causal Architecture and Strategy Execution
References
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