Macro-Environmental Risks & Start-Up Survival in Developing Economies – Study Notes

Background & Context of the Study

• Start-ups are viewed as engines of disruptive innovation, employment creation and regional socio-economic development.
• Global icons (Apple, Google, Uber, Airbnb, Facebook) began as garage start-ups – illustrates high scalability potential.
• In developing countries (focus on Pakistan) start-ups face disproportionately high failure rates (≈ $92\%$ shut down within 3 years; Indian statistic $90\%$ in 5 years; Pakistan overall survival ≈ $3\%$).
• Failure widely documented for internal reasons (cash-flow, weak business model, incompetence) but macro-environmental roots under-explored.

Aims of the Paper

• Identify macro-environmental factors hampering start-ups in a developing economy (Pakistan taken as exemplar).
• Integrate three tools rarely combined:
  • PESTEL (environmental scanning of $P,E,S,T,E,L$ drivers);
  • Ishikawa/Fish-bone diagram (visualise causal chains);
  • Fuzzy-Failure Mode & Effect Analysis (FFMEA) to prioritise risks.
• Deliver actionable risk-mitigation guidance for policy makers, founders & business schools; approach intended to be replicable in other emerging markets.

Data & Evidence Base

• Primary: survey (May 2022) with 35 experts
  • 20 start-up owners (ride-hailing, online grocery, IT, food-delivery)
  • 15 business-school researchers (≥ 7 yrs exp.)
• Secondary: World Bank, ITU, UNDP, PSEB, SMEDA, i2i, OICCI, IMF, SBP, Transparency International, etc.

Methodological Framework (3-Stage)

1. PESTEL scan → long-list of macro risks.
2. Map risks on modified Ishikawa (6 bones instead of 4 M’s).
3. FFMEA: quantify Occurrence ($O$), Severity ($S$), Controllability ($C$), then compute fuzzy Risk Priority Number $\text{RPN}=O\times S\times C$
   • Triangular fuzzy numbers $F=(a,b,c)$, membership \mu_F(x)=\begin{cases}\dfrac{x-a}{b-a}&a\le x\le b\[4pt]\dfrac{c-x}{c-b}&b\le x\le c\[4pt]0&\text{otherwise}\end{cases}
   • Defuzzification (mean-of-max/centroid): $D = \dfrac{a+2b+c}{4}$

PESTEL Findings (Detailed)

Political

• Chronic regime turnover; percentile for “Political Stability & No Violence” < $20\%$ (2010-2020).
• High perceived corruption: CPI score $28/100$ (rank 140/180).
• Government incentives (zero IT-export tax till 2025, tech parks) can be undermined by abrupt policy flips.
• Top Political Risks:
  • R1 Political instability
  • R2 Rapidly changing policies
  • R3 Corruption/red-tape

Economic

• GDP share services $53.8\%$, agriculture $21.1\%$, industry $17.7\%$.
• Growth crashed from $5.83\%\rightarrow -0.93\%$ (FY 20/21).
• Double-digit inflation, rupee depreciation, shallow capital markets.
• Complex, revenue-based tax regime; only IT start-ups enjoy 3-yr holiday (federal not provincial).
• Economic Risks:
  • R4 Currency depreciation
  • R5 High inflation
  • R6 Unfriendly tax system

Social

• Literacy $62.3\%$ ⇒ ≈ $60$ million illiterate.
• Radical/extremist incidents (e.g., 2021 Sialkot lynching) tarnish international image.
• Low entrepreneurial/financial literacy limits quality of business plans (loan rejection in youth-finance schemes).
• Social Risks:
  • R7 Radicalism & extremism
  • R8 Low education/financial literacy

Technological

• 22 operational tech parks; 40 under construction; 60 planned by 2023.
• 2 826 IT firms registered with SECP in 2020; booming BPO.
• Rising cyber-crime (banking malware, rideshare database breaches – Uber 2016, Careem 2018, Zameen.com).
• Recurring internet shutdowns (political rallies, cable cuts) ‑ cost ≈ $0.5$ million USD/day in low-connectivity nations.
• Tech Risks:
  • R9 Cyber-attacks
  • R10 Internet outage/connectivity gaps

Environmental

• Pakistan ranked 8th in Global Climate Risk Index.
• Govt programmes: “Ten Billion Tree Tsunami”, “Protected Areas”, “Recharge Pakistan”.
• COVID-19: 5 million jobs lost; forced pivots (Airlift from mass-transit → e-grocery); vaccination rate $55.8\%$.
• Environmental Risks:
  • R11 Climate change & natural calamities
  • R12 Global/local pandemics

Legal / Regulatory

• Common-law legacy; still rated 108th in “Ease of Doing Business 2019”.
• New venture must clear 6 steps in 4 agencies; absence of One-Stop-Shop & Regulatory Impact Assessment.
• Contract enforcement averages 3-5 yrs in court; > 1.3 million cases pending.
• Legal Risks:
  • R13 Cumbersome regulatory environment
  • R14 Delayed court proceedings

FFMEA Quantitative Prioritisation (Top → Bottom)

1. Inflation rate (FRPN ≈ $2.83$)
2. Currency depreciation (FRPN ≈ $2.82$)
3. Corruption (FRPN ≈ $2.49$)
4. Delayed court proceedings (FRPN ≈ $2.19$)
5. Changing government policies (FRPN ≈ $2.19$)
6. Political instability (FRPN ≈ $2.18$)
7. Low education/illiteracy (FRPN ≈ $2.10$)
8. Unfavourable tax regime (FRPN ≈ $2.05$)
9. Regulatory burden (FRPN ≈ $1.96$)
10. Internet outage (FRPN ≈ $1.79$)
11. Pandemic risk (FRPN ≈ $1.60$)
12. Cyber-attacks (FRPN ≈ $1.52$)
13. Radicalism/extremism (FRPN ≈ $1.52$)
14. Climate change (FRPN ≈ $1.00$)

Interpretations & Illustrative Implications

• High inflation & FX volatility squeeze tiny price-margins of new ventures; raise hurdle rate ($\uparrow$ cost of capital).
• Depreciation erodes returns for foreign VCs → risk-adjusted capital flight.
• Corruption & legal delays destroy predictability; increase unofficial transaction costs; deter scale-ups.
• Education gap weakens investor confidence (poor pitch decks, cash-flow mismanagement).
• Connectivity gaps cripple digital-first models; cyber-breaches jeopardise user trust.

Recommended Mitigation Strategies

Macro / Policy Level

• Strengthen monetary-fiscal coordination to anchor inflation (e.g., SBP policy rate, supply-side subsidies).
• FX stability via diversified export basket & remittance hedges.
• Roll-out One-Stop-Shop & digital licences; embed Regulatory Impact Assessment.
• Fast-track specialised commercial courts / ADR for start-up disputes.
• National Cyber-Security Incident Response Teams plus mandatory SME cyber-insurance pool.
• Expand fibre backbone (CPEC Fibre-Optic project), incentivise telcos for rural coverage.
• Integrate entrepreneurship & financial-literacy curricula across secondary/tertiary education; university incubator-VC linkages.
• Counter violent extremism: community engagement, stricter hate-crime prosecution, positive nation branding.

Firm / Ecosystem Level

• Index contracts to inflation/FX clauses; hedge via $USD receipts, forward swaps.
• Adopt lean cash-flow dashboards & scenario stress-testing tools.
• Deploy multi-factor authentication, zero-trust architecture; train all staff on phishing drills.
• Maintain offline business-continuity plan for internet outages (SMS-based order system, edge caching).
• Engage in policy advocacy through P@SHA, i2i, Chambers to sustain favourable reforms.

Practical Utility of the Integrated Model

• Provides a panoramic risk map; helps founders pre-emptively allocate scarce mitigation resources.
• Combines qualitative scanning (PESTEL) with quantitative ranking (FFMEA) ➔ bridges perception–action gap.
• Scalable: parameters can be re-weighted for other sectors (fin-tech, ag-tech) or geographies.

Concluding Insights

• Macro-environmental shocks are as lethal as internal mis-steps; ignoring them explains persistently high failure ratios.
• The framework nudges tripartite collaboration – government, academia, entrepreneurs – to craft evidence-based policies.
• While piloted on Pakistan, the toolset offers a transferable blueprint for emerging economies aiming to unlock sustainable start-up ecosystems.