{"id":367,"date":"2026-03-26T17:23:10","date_gmt":"2026-03-26T21:23:10","guid":{"rendered":"https:\/\/techrevlac.org\/?p=367"},"modified":"2026-06-04T10:20:52","modified_gmt":"2026-06-04T14:20:52","slug":"why-reforms-fail-five-functions-for-change-in-lac","status":"publish","type":"post","link":"https:\/\/techrevlac.org\/en\/blog\/why-reforms-fail-five-functions-for-change-in-lac\/","title":{"rendered":"Why Reforms Fail: Five Functions for Change in LAC"},"content":{"rendered":"\n

In 2013, Mexico\u2019s energy reform looked like a textbook transformation package: a clear legal opening, new regulators, competitive processes to attract investment, and the promise of cheaper, cleaner, more reliable power. Within a few years, the trajectory shifted. Rules were contested, permits and contracts became politicized, and investors faced rising uncertainty. The problem was not just \u201cpolicy design.\u201d Distributional conflict, institutional veto points, capacity constraints, and credibility gaps made implementation fragile and reversals politically feasible. The lesson for governments across Latin America and the Caribbean (LAC) is straightforward: even reforms that look right on paper can fail to deliver. Institutional change only holds when legitimacy, coalitions, coordination, and learning under uncertainty are managed as an integrated pathway.<\/p>\n\n\n\n

Cases like this show that the core problem is less a lack of ideas than a lack of execution discipline across interdependent steps. Institutional change must be managed as a coordinated sequence in a contested environment. When transformation is treated as a long list of separate reforms, leaders lose clarity on what comes first, what must run in parallel, and what must be sustained long enough to become routine. They also struggle to reduce uncertainty about impacts and costs. Resistance then becomes predictable\u2014distributional conflict, bureaucratic turf wars, capability gaps, and private interests seeking exemptions or delay. The result is familiar: partial progress, missed complementarities, and ad hoc trade-offs. Credibility erodes, and the package underperforms.<\/p>\n\n\n\n

A coherent approach starts by making the pathway explicit. It turns a complex agenda into manageable blocks that you can share, sequence, and run. I propose five state functions. These five functions don\u2019t overlap, and you can\u2019t skip any of them: strategic vision, market shaping, public investment, coordination and capital mobilization, and adaptive learning. Read as a change pathway, they clarify what governments must put in place. Vision sets direction, market shaping creates the rules and incentives that make it possible, investment turns intent into delivery, coordination keeps everyone aligned, and learning builds in feedback and adaptation. When these functions align, they create reinforcing loops that build capability and credibility. When they do not, predictable failure modes follow\u2014misallocation, reversals, and erosion of trust.<\/p>\n\n\n\n

Why transformation efforts stall: complexity, silos, and partial diagnostics<\/strong><\/h3>\n\n\n\n

Development theories illuminate important state roles. Each tends to focus on a subset of functions rather than offering a complete map for transformation. Developmental state theory<\/a> emphasizes long-term vision and coordination, but it underplays institutionalized learning and adaptation. Innovation systems theory highlights networks and knowledge flows, yet it treats the state as an implicit actor and offers limited guidance on direction-setting or market creation. New institutional economics foregrounds property rights and the enforcement of rules. It often says less about how states actively shape markets or build productive capabilities. No single framework is jointly exhaustive. Policymakers who apply any of them in isolation will overlook critical functions for sustained change.<\/p>\n\n\n\n

Standard diagnostics often reinforce the problem by treating governance, regulation, finance, and investment as separate silos. They can tell you whether rules are clear, procedures are followed, and projects are well costed. They rarely ask whether the government knows where it is going. They also rarely ask whether institutions are aligned to sustain delivery, or whether the system can learn and adapt when things go wrong. Targeted political economy work can help by identifying who stands to lose (or gain), which agencies can block implementation, and which groups can mobilize against change\u2014such as state-owned enterprises, public-sector unions, or concentrated industry lobbies. But operational evidence still struggles to accumulate into system-level learning without a unifying functional architecture.<\/p>\n\n\n\n

Disconnected reform tracks produce predictable results. They weaken sequencing and suppress learning, which lowers the returns to reform and investment. Resistance and capture risks amplify the damage. Reforms that threaten rents<\/a> can trigger pushback from incumbent firms, privileged contractors, or protected state-owned enterprises; agencies also protect turf, and weak accountability increases the risk of corruption. Countries may improve governance indicators without achieving a productivity takeoff. Missing functions\u2014especially coordination and capability-building\u2014often explain the gap. Ambitious investment or industrial strategies can also falter. Weak regulation, accountability, or learning then produces misallocation, capture, and backlash. Learning is rarely treated as an explicit state function. Failures persist without correction, and successes are not systematically scaled. The net result is low and volatile returns. Skepticism about state-led transformation grows.<\/p>\n\n\n\n

The five functions that drive institutional change<\/strong><\/h3>\n\n\n\n

Governments need a simple way to describe what must be done and how the pieces fit together over time. The goal is not simplification for its own sake. It is a pathway that is complete enough to guide execution in the real world. Structural change requires five distinct state functions that cannot be collapsed into isolated policies. Progress depends on moving through them as a coherent sequence, not as independent checkboxes. The sequence also helps manage uncertainty and resistance. Credible direction builds legitimacy, enabling rules to reduce discretion and rent-seeking; early delivery builds confidence; coordination brokers compromises; and learning course-corrects when assumptions fail. The model identifies five functions: strategic vision, market shaping and regulation, investment and service delivery, coordination and capital mobilization, and adaptive governance and learning. Each corresponds to a different mode of state action\u2014choosing direction, setting rules, allocating resources, aligning actors, and adjusting in response to feedback. Together, they describe how change is initiated, implemented, and sustained. The absence of any one function can derail transformation even when others are strong.<\/p>\n\n\n\n

Recent LAC experience shows how a missing function can derail change. In Mexico, shifts in strategic direction weakened legitimacy and raised regulatory uncertainty after the 2013 energy opening<\/a>. Weak enabling rules and oversight can also turn programs into rent opportunities. Brazil\u2019s Petrobras contracting scandal<\/a> illustrates how discretion and weak controls can corrode performance and trust. Delivery gaps can be just as damaging. In Haiti, repeated difficulties translating reconstruction and service commitments<\/a> into sustained results eroded confidence. Coordination failures can stall implementation even when the direction is clear. In Colombia, implementation of the peace accord has faced coordination and financing bottlenecks that have slowed delivery in territories. Finally, weak feedback and adaptation can lock in underperforming policies. Argentina\u2019s repeated cycles of price controls and ad hoc subsidies show how reversals can substitute for learning.<\/p>\n\n\n\n

The model is designed so that each function is distinct, yet together they cover the full spectrum of state roles. That is what makes it useful as a practical change sequence. Strategic vision concerns choosing ends. Market shaping governs rules and incentives, while investment focuses on direct provision and asset creation. Coordination and accountability manage cross-government incentives, distributional conflict, and capital mobilization across institutions. Adaptive learning institutionalizes feedback and adjustment over time. The literature maps unevenly onto these functions. Most approaches emphasize some functions but not others, which is why partial diagnostics persist. For policymakers, the implication is practical. Durable change often fails when a single block is missing, even when other reforms are advanced.<\/p>\n\n\n\n

Development outcomes depend on alignment and feedback across functions, not excellence in any single domain. Momentum must also carry early actions into institutionalized routines. Strong public investment without market discipline or accountability raises fiscal risk and lowers returns, as repeated LAC debt cycles<\/a> show. Strong regulation without investment and coordination can also disappoint. Productive capabilities remain underdeveloped when delivery and alignment are weak. The model treats transformation as a system. Vision focuses effort, shaping the market enables action, investment delivers tangible progress, coordination provides the glue that holds the institution together, and learning embeds adaptation, so gains persist. Uruguay\u2019s renewable energy transition<\/a> is a useful counterexample. A clear direction, stable market rules (including auction design), credible delivery of new generation, effective coordination among public entities and investors, and ongoing learning sustained rapid change over time. This logic explains why fragmented reform packages underperform despite isolated improvements.<\/p>\n\n\n\n

How the model improves diagnosis, sequencing, and credibility<\/strong><\/h3>\n\n\n\n

A functional lens turns diagnosis into a plan. It shows which block in the change pathway is missing and where the capability is binding. By assessing performance across the five functions, analysts can identify whether stagnation reflects weak vision, poor market shaping, thin delivery capacity, coordination failures, or missing learning mechanisms. That is more actionable than sectoral or institutional checklists. In LAC, many countries strengthened rule-of-law and regulatory indicators, yet failed to diversify or innovate. Gaps in vision and learning often explain why governance improvements did not translate into transformation.<\/p>\n\n\n\n

The model also operationalizes political economy and financial constraints. It supports realistic sequencing from enabling conditions to delivery to durability. Sequencing choices\u2014such as whether to reform regulation before scaling investment, or to pilot before scaling\u2014should be evaluated based on functional readiness, not ideology. Many failures are not technical. They reflect veto points, distributional conflict, and credibility problems\u2014for example, resistance from public-sector unions, pushback from incumbent utilities or other state-owned enterprises, or pressure from export industry lobbies for exemptions and special regimes. Pilots, phased implementation, and transparent risk governance can reduce uncertainty and lower resistance. They clarify who bears costs and how risks are managed. Large-scale capital mobilization<\/a> without credible oversight can create contingent liabilities and credibility loss. Repeated renegotiations and legal disputes in some LAC transport concessions show how weak risk allocation and accountability can undermine long-term credibility. By linking finance, accountability, and learning, the model helps governments manage trade-offs transparently and sustain momentum beyond the first wave.<\/p>\n\n\n\n

Learning strengthens credibility by turning reform into a self-correcting routine. It also raises long-run impact by improving policy over time. Monitoring, evaluation, and experimentation help governments detect failure, end ineffective programs, and scale what works. Mexico\u2019s PROGRESA illustrates the point. Rigorous evaluation supported evidence-based scaling and political sustainability. The contrast is costly. Prolonged protection of underperforming industries shows what happens when learning is missing. Treating learning as integral helps institutionalize change. Performance improves through feedback rather than waiting for a crisis.<\/p>\n\n\n\n

Making change stick<\/strong><\/h3>\n\n\n\n

LAC\u2019s productivity gaps persist for many reasons, but a common pattern emerges in practice: reforms often move in pieces, and those pieces do not reinforce one another. The result is predictable. Progress stalls, credibility erodes, and governments end up reiterating the same agenda under tighter constraints.<\/p>\n\n\n\n

One practical application is to design a policy-based MDB loan around the five functions, with actions sequenced to build credibility and manage resistance. A first step could set the direction (a published, costed transformation strategy with a delivery mandate) and establish clear rules (time-bound regulatory changes that reduce discretion and clarify incentives). A second tranche could tie disbursement to early delivery (a small number of visible, implementable investments or services) and to coordination (a standing cross-ministry delivery unit with agreed financing, risk governance, and stakeholder engagement). A final tranche could institutionalize learning (monitoring and evaluation, feedback loops, and pre-agreed \u201ccourse-correction\u201d triggers if targets are missed). Across different groups, indicators would track not only outputs, but credibility signals\u2014policy stability, dispute-resolution performance, procurement integrity, and whether feedback is acted on\u2014so the loan supports lasting change rather than one-off compliance.<\/p>\n\n\n\n

What success looks like is alignment that compounds over time: direction that stays credible, rules that enable action, delivery that builds confidence, coordination that sustains coalitions, and learning that keeps the system adaptive. Uruguay\u2019s renewables build-out shows what this alignment can look like in practice. The payoff is cumulative capability and resilience, not episodic reform cycles.<\/p>\n\n\n\n

Policymakers can use this functional lens to break transformation into manageable blocks and to communicate a credible pathway, internally and with partners. The key is to plan reforms as a reinforcing portfolio, not as disconnected initiatives. That requires managing uncertainty and resistance throughout implementation\u2014distributional conflict, bureaucratic inertia, veto points, and interests seeking delay or exemptions. In practice, governments should ask two discipline questions at each stage: what function is missing, and what would make the next step politically and operationally credible? For MDB-supported programs, this lens also helps shift policy loans from checklist compliance to sequenced capability-building, with disbursements and indicators that reward delivery, coordination, and learning\u2014not just legal changes on paper. Used this way, the model supports coherent, durable transformation.<\/p>\n","protected":false},"excerpt":{"rendered":"

In 2013, Mexico\u2019s energy reform looked like a textbook transformation package: a clear legal opening, new regulators, competitive processes to attract investment, and the promise of cheaper, cleaner, more reliable power. Within a few years, the trajectory shifted. Rules were contested, permits and contracts became politicized, and investors faced rising uncertainty. The problem was not 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