Submitted:
02 July 2026
Posted:
03 July 2026
Read the latest preprint version here
Abstract

Keywords:
1. Introduction
2. Literature Background and Analytical Framework
2.1. MSMEs, Context and Entrepreneurial Ecosystems
2.2. Resources, Capabilities and Small Business Strengthening
2.3. Business Demography, Firm Age and Early Vulnerability
2.4. Analytical Framework
3. Data and Methods
3.1. Research Design
3.2. Administrative Data Cleaning and Variables
3.3. Statistical Strategy
4. Results
4.1. Evidence Map: Domains for MSME Strengthening
4.2. Active Business Structure: Micro-Scale and Sectoral Concentration
4.3. Territorial Concentration
4.4. Cancellation Records and Early Survival
4.5. Exploratory Cox Model and Sectoral Prioritisation
5. Discussion
5.1. Contribution to Small Business Theory
5.2. Policy and Managerial Implications
5.3. Why These Matters Beyond Valledupar
5.4. Limitations and Future Research
6. Conclusions
Funding
Conflicts of Interest
Ethical considerations
Data availability
Use of artificial intelligence
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| Dimension | Problem in prior work | Response in this article | Contribution |
| Empirical setting | Peripheral and intermediate cities are less represented than metropolitan entrepreneurial ecosystems. | Uses Valledupar and the Chamber of Commerce jurisdiction as a territ orial case. | Adds evidence from a Latin American peripheral ecosystem. |
| Data use | Business registries are often treated as administrative counts rather than policy intelligence. | Analyses active structure, cancellations, duration and exploratory hazards. | Shows how registries can support early-warning and prioritisation. |
| Policy design | MSME support often appears as fragmented services: registration, credit, training or digitalisation. | Organises evidence into sequential capability domains and links them to registry patterns. | Proposes a place-based capability-building agenda. |
| Methodological stance | Evidence is heterogeneous and often unsuitable for meta-analysis. | Uses structured evidence mapping and avoids unsupported causal claims. | Balances transparency, empirical contrast and policy usefulness. |
| Source | Volume used | Analytical role | Methodological control |
| Evidence audit | 6,234 raw API records; 300 prioritised records; 45 open-access PDFs; 10 Elicit reviews; 960 Web of Science records. | Identification of recurrent MSME strengthening domains. | Counts are reported as audit traces, not as final included studies for meta-analysis. |
| Active registrations | 30,964 individual registry records. | Used for cohort construction and censored observations in survival analysis. | Not added to aggregate structure tables without reconciliation. |
| Cancelled registrations | 23,624 records with valid cancellation information. | Used for duration, cancellation reasons and cancellation events. | Registry cancellation is not automatically interpreted as economic failure. |
| Active structure by CIIU/size | 403 rows; 25,444 active classified units. | Used for size and sector structure. | Section-level CIIU rows were used to avoid double counting. |
| Active structure by CIIU/municipality | 405 rows; 25,445 active classified units. | Used for territorial concentration. | Minor total difference is reported as an administrative aggregation issue. |
| EMICRON file | No useful observations in the file available for this stage. | Not used for firm-level finance, digitalisation or innovation indicators. | A complementary survey or valid microdata are recommended. |
| Domain | Core weakness | Capability to build | Suggested indicator |
| Formalisation and institutions | Formal status may remain a procedural requirement. | Registration, renewal, tax and accounting routines connected to benefits. | Renewal continuity; tax and accounting compliance; programme access. |
| Finance and working capital | Limited creditworthiness and weak cash-flow information. | Costing, cash-flow planning, inventory and receivables management. | Monthly cash-flow use; margin tracking; approved credit without early arrears. |
| Digital transformation | Digital tools are adopted without commercial integration. | Catalogues, digital payments, customer records and basic analytics. | Digital sales share; conversion; payment adoption; customer retention. |
| Managerial capabilities | Owner-managed firms lack formal routines. | Simple dashboards, sales targets and decision routines. | Use of monthly indicators; inventory control; sales planning. |
| Innovation and markets | Low differentiation and dependence on local demand. | Incremental product, service, packaging and channel innovation. | New products; new customers; repeat sales; new channels. |
| Sustainability and internationalisation | Higher-level agendas are difficult without basic capabilities. | Efficiency, compliance and gradual market expansion. | Resource efficiency; certifications; sales outside the municipality. |
| Territorial governance | Support programmes are dispersed and weakly measured. | A shared MSME dashboard and coordinated support pathway. | Coverage, completion, adoption and survival indicators. |
| Indicator | Value | Share | Interpretation |
| Cancelled registrations | 23,624 | 100.0% | Registry cancellation events observed in the database. |
| Administrative clean-up | 15,861 | 67.1% | Must be separated from economic closure. |
| Voluntary/document-related reason | 4,157 | 17.6% | Declared exit or procedure-linked cancellation. |
| No declared reason | 2,359 | 10.0% | Requires caution due to incomplete information. |
| Median duration of cancelled firms | 5.03 years | — | Half of cancelled firms lasted up to this threshold. |
| Cancelled before five years | 11,541 | 48.9% | Evidence of early vulnerability. |
| Cancelled before ten years | 20,324 | 86.0% | Most cancellations occur before a decade. |
| KM cumulative cancellation at three years | — | 13.3% | Exploratory estimate for the 2016-2019 cohort. |
| Variable | HR | 95% CI | p-value | Reading |
| Financial and insurance activities | 1.96 | 1.48-2.60 | <0.001 | Higher relative hazard |
| Human health and social assistance | 1.49 | 1.18-1.89 | <0.001 | Higher relative hazard |
| Arts, entertainment and recreation | 1.31 | 1.08-1.59 | 0.006 | Higher relative hazard |
| Accommodation and food services | 1.20 | 1.09-1.31 | <0.001 | Higher relative hazard |
| Legal form: commercial establishment | 1.10 | 1.02-1.18 | 0.012 | Higher relative hazard |
| Manufacturing | 0.69 | 0.59-0.80 | <0.001 | Lower relative hazard |
| Legal form: legal person | 0.52 | 0.44-0.62 | <0.001 | Lower relative hazard |
| Construction | 0.48 | 0.38-0.62 | <0.001 | Lower relative hazard |
| Legal form: non-profit entity | 0.15 | 0.09-0.26 | <0.001 | Lower relative hazard |
| Empirical finding | Policy implication | Operational recommendation |
| 97.7% of classified active units are microenterprises. | The dominant firms have limited administrative and financial capacity. | Offer simple routines for cost control, cash flow, inventory, renewal and basic accounting. |
| Commerce concentrates 44.8% of active classified units. | The business base depends heavily on a highly competitive sector. | Prioritise microcommerce with digital catalogues, payments, inventory control, customer records and differentiation. |
| Valledupar concentrates 70.9% of active classified units. | The intervention requires a core-city strategy and peripheral outreach. | Create a large-scale Valledupar pathway and smaller territorial nodes in secondary municipalities. |
| 48.9% of cancelled firms cancelled before five years. | Vulnerability is concentrated in the early stage. | Implement a 0-36 month survival pathway and non-renewal alerts. |
| 67.1% of cancellations correspond to administrative clean-up. | Cancellation records mix economic exit and registry updating. | Separate administrative clean-up from true business closure in dashboards and policy diagnostics. |
| Accommodation/food and recreation show signals of fragility. | Face-to-face services may require preventive support. | Support cost management, customer experience, digital promotion, hygiene standards and local demand strategies. |
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