This Perspective derives “data” not from the field but from texts and concepts; the method is therefore less a measurement protocol and more a discipline of delineating concepts and establishing mechanisms. The approach to conceptual framework construction explicitly follows the steps of definition, dimensioning, establishing relationships, and specifying boundary conditions [36]. By making the minimum conditions for theoretical contribution (what is being explained, how it is being explained, under what conditions) visible, the text aims to make the “open to interpretation” “diagnosable” [37].

This design is not a systematic review; the aim is not to extract the average of the literature, but to reestablish the regime-adaptation link left ambiguous in the literature. It is positioned within the interpretive/critical line of review typologies [38] and embraces the logic of the critical interpretive synthesis tradition, which combines concepts from different disciplines through productive tensions [39].

The backbone of the framework is mechanism logic, not correlation. Typologies are not mere embellishments in such conceptual work, but rather a discipline of measurement and conceptualization: when properly established, they regulate both boundary conditions and possible failure modes [40]. The mechanism approach, in turn, allows us to describe how the processes in between work, rather than offering short-circuit explanations such as “regime → outcome” [41].

The analysis of texts is based on the document analysis approach recommended in qualitative policy research: the authenticity, context, production purpose, and target audience of the text are taken into account; a comparative reading is conducted using conceptual categories [42,43]. Content analysis is conducted in line with the basic principles of the content analysis tradition to capture the consistency of concepts and the visible/hidden assumptions in the texts [44].

In response to the need for greater multi-dimensional integration, the analytical architecture is extended through the Technology-Organization-Environment (TOE) framework [45]. In this article, the technology dimension refers to environmental monitoring, climate-adaptation technologies, digital disclosure platforms, and data verification tools. The organization dimension refers to implementation structures, administrative capacity, inter-agency coordination, and multi-stakeholder organization. The environment dimension refers to regime institutions, policy-instrument constraints, legal objectives, and social-cultural conditions. RCA remains the mechanism logic, while TOE provides the dimensional map within which those mechanisms operate.

The framework is also revised to accommodate configurational reasoning rather than a strictly linear causal model. Fuzzy-set qualitative comparative analysis (fsQCA) treats outcomes as potentially produced by different combinations of conditions, allows for equifinality, and distinguishes between necessary and sufficient configurations [46,47]. The present article does not conduct fsQCA, but it reformulates the propositions so that future studies can test whether high environmental adaptation follows, for example, from open-information/high-capacity configurations, centralized/high-technology/high-verification configurations, or rights-based accountability configurations. This extension follows the logic of recent TOE-fsQCA work on carbon-reduction pathways in China’s rural production and household sectors, which shows that carbon outcomes can be shaped by multiple interacting technological, organizational, and environmental conditions rather than by a single institutional variable [48].

The RCA framework defines adaptation as a feedback-driven process: signal detection, interpretation, decision-making, implementation, and learning. This definition incorporates the warning that adaptation can turn into maladaptation even with good intentions as a methodological brake [49]. Thus, the disconnect between “quick output” and “lasting results” is made conceptually visible.

The temporal dimension of the regime package is incorporated into the framework through discussions of historical institutionalism’s critical junctures and path dependency: institutions can harden or change direction at certain moments, which explains why adaptation sometimes stalls [50,51]. The politics of time allows institutional change to be read not only as a choice but also as the product of accumulated costs and increasing returns [52].

This Perspective does not present regime type as the sole determining factor. Policy capacity is the ability to coordinate and sustain implementation beyond mere analysis; the same regime package can produce different outcomes at different capacity levels [53].

The boundary conditions are therefore specified more explicitly. RCA-TOE is most applicable to ecological problems where feedback cycles, implementation chains, and behavioral responses matter: climate adaptation, pollution control, biodiversity protection, disaster risk reduction, and carbon emissions reduction. It is less suitable for explaining one-off emergency decisions without monitoring or learning cycles. Development level, policy capacity, technological infrastructure, fiscal resources, and the maturity of civil society or stakeholder organization moderate the framework. In lower-capacity contexts, technology transfer and stakeholder organization may partly substitute for weak state capacity; in higher-capacity contexts, veto structures and indicator gaming may become the more salient constraints.

The link between capacity and action in climate adaptation is not always straightforward; it is shaped by perceptions, institutional priorities, and political costs, as a well-established warning in the adaptation literature [54]. Furthermore, scale and polycentricity can create opportunities for experimentation and learning, but they can also generate fragmentation costs; therefore, polycentric governance is considered both an opportunity and a risk in the framework [55].

The adaptive governance literature emphasizes learning, multi-scale coordination, and institutional flexibility in socio-ecological systems [56]. Studies in the field of water governance show that adaptive (co-management) prescriptions need to be tested from a governance perspective and that the research agenda opens up here [57]. Discussions on the transformation of water governance also reinforce that institutional change is not only a technical but also a political process [58].

The environmental governance literature theoretically frames how relationships between actors, institutions, and scales shape environmental outcomes [59]. The resilience approach positions adaptation as a capacity that addresses social and ecological dynamics together [60].

The “result” of this section is an explanatory architecture linking regime type to the functioning of environmental adaptation: the Regime-Constraint-Adaptation (RCA) framework. The starting point of RCA is this: Regime type, rather than being a direct performance seal on environmental governance, accelerates, slows down, disrupts, or makes feedback channels enabling adaptation work in one direction.

RCA operationalizes the regime package through three theoretical keys. The first is the veto architecture: how many gates the decision passes through, which actors have the power to apply the brakes, and when this brake produces stability or gridlock [61]. The second is the logic of power survival: who the leader must rely on and how they weigh public goods against selective benefits [62]. The third is informational governance: some regimes survive by managing the circulation of information and selecting what is visible rather than through crude coercion [63].

The revised model therefore treats regime type as one part of a broader RCA-TOE configuration. Political institutions shape feedback, but they do not act alone. Technologies determine how ecological risk is monitored and disclosed; organizational structures determine whether policy outputs become field-level implementation; and environmental conditions, including law, culture, economic development, and behavioral motives, determine whether instruments can change real ecological outcomes. Figure 1 summarizes this integrated logic.

RCA now treats the regime package as affecting adaptation through several interacting bottlenecks. These bottlenecks are not mutually exclusive; the same regime package can produce both advantages and vulnerabilities simultaneously, and the revised framework adds policy-instrument effectiveness and motivation-behavior alignment to the original institutional friction logic.

A sixth, cross-cutting bottleneck is added to address the policy-instrument debate more directly: the instrument-effectiveness bottleneck. Environmental governance is not exhausted by whether a policy exists; it depends on whether the selected instrument can plausibly affect the targeted ecological process. Command-and-control regulation, disclosure instruments, subsidies, taxes, planning obligations, and participatory procedures differ in informational demands, enforcement costs, distributional burdens, and vulnerability to gaming. RCA-TOE therefore asks not only whether a regime can act quickly, but whether it can select instruments suited to the ecological problem, monitor their effects, and adjust them when measured outputs diverge from ecological outcomes [3].

The epistemic bottleneck relates to risk visibility, the first condition for adaptation. Findings pointing to the link between democracy and transparency reveal the relationship between information disclosure and institutional design [64]. In authoritarian contexts, strategic censorship selectively cuts the signal; early warnings are often shifted to “safe” areas [65].

At this point, measurement itself becomes a political tool. Practices of governing by numbers do not merely measure performance; they shape performance and sometimes narrow reality [66]. Control rituals and verification mechanisms can accelerate learning as much as they can encourage report production [67]. Transparency itself is not innocent; visibility can serve the production of a “manageable image” as much as accountability [68].

Indicators can function as channels of social pressure and reputation at the international and national levels; however, they can simultaneously produce false compliance by locking behavior into the logic of the indicator [69]. The global circulation of human rights and governance indicators strengthens the power of measurement regimes; numbers can capture reality as much as they can replace it [70].

Information disclosure mechanisms can be effective regulatory tools: the community right-to-know approach has been shown to deter pollution [71]. However, if disclosure is poorly designed, contextualized, or controlled, transparency policy can become selective disclosure (see also [72]).

The commitment-veto bottleneck is the tension between speed and stability. The veto players approach explains that institutional brakes make policy change difficult but can also create commitment credibility by limiting sudden swings [61].

The coalition-incentive bottleneck highlights the relationship between the broad-public-good-production nature of environmental adaptation and the distributional conflict over costs. Selectorate logic shows why selective benefit distribution becomes dominant in narrow coalition structures and why this can increase the output-outcome disconnect in the environmental sphere [62]. This incentive structure is linked to a deeper institutional order, as well as to the form of regulation of violence and coercion [73].

A motivation-behavior bottleneck is also added. The ecological effectiveness of policy instruments depends on the real motives behind human behavior, not on the assumption that legal rules automatically produce compliance. Environmental behavior may be shaped by material incentives, habit, perceived behavioral control, trust in authorities, social norms, identity, fear of loss, moral commitment, and skepticism toward expert knowledge [3,74,75,76,77]. This matters for regime analysis because closed systems may secure visible compliance without revealing whether motives have changed. In contrast, open systems may generate contestation that is politically noisy but behaviorally informative. Instruments therefore need to be evaluated by whether they alter opportunity structures and motives, not merely by whether they announce a target.

The capacity-implementation gap is the distance between policy and practice. State capacity emphasizes institutional construction in property rights, taxation, and public goods production; if capacity is weak, environmental policy discourse increases, but field impact remains limited [78]. The classic warning of implementation literature shows how high expectations are dampened in the field [79]. It is precisely at this point that policy learning approaches explain why feedback and evaluation mechanisms are critical for “change” [80,81,82].

Centralization seeks to make the world readable to manage the environment; however, readability often simplifies the world and dismisses local knowledge as noise [83]. Therefore, while centralization produces coordination advantages, it also carries epistemic risks. The “environmental authoritarianism” debate reminds us that speed and coordination come with legitimacy and learning costs [84].

The rights-judicialization bottleneck concerns the institutional form of channels for objection. Analyses of the wave of climate lawsuits show that the judiciary sometimes opens regulatory space and sometimes exposes the executive’s inaction [85,86]. The recognition of the right to a clean, healthy, and sustainable environment at the UN level normatively strengthens this channel [87,88].

Finally, the lock-in bottleneck refers to the narrowing of the set of options for carbon-intensive investments and infrastructure choices over time. Carbon lock-in becomes more persistent if feedback channels are weak; adaptation often serves as a belated corrective measure [89].

Recent adaptation research reinforces this configurational view. Institutional contexts can create delayed, abrupt, and unjust adaptation limits even where plausible adaptation pathways exist [90]. Local government studies from Mexico City show that horizontal and vertical collaboration can mobilize capacity amid urgency and scarcity [91]. At the same time, recent work on Ethiopian urban climate governance identifies human resources, policy enforcement, political commitment, finance, coordination, and data management as distinct but interacting institutional constraints [92]. These studies support the revised claim that regime constraints must be examined together with technology, organization, and social context.

The practical purpose of RCA is to discuss regimes not as “labels” but as constraint profiles. Two axes are sufficient to make this visible: information transparency (monitoring, scientific autonomy, and media and civil society’s capacity to convey information) and decision centralization (coordination concentrated in a single center or distributed in a multi-centered manner). These two axes produce four ideal types; each type has a promise and a cost for adaptation.

In an open and multi-centered system, signal diversity is high; experimentation and public dissent at different scales fuel adaptation. However, coordination costs increase, and decision-making often slows. In an open and centralized system, the center can provide rapid coordination to the extent that data and criticism channels function; but the risk of local information loss and single-point failure may increase. In a closed and centralized system, short-term output may appear impressive; but if the epistemic bottleneck is severe, the system cannot hear its own mistakes. In a closed and multi-centered system, both signal channels are weak, and coordination is fragmented; adaptation itself may become trapped in local patronage mechanisms.

The revised propositions are formulated as measurable claims rather than abstract statements. They are intended to be falsifiable in future large-N, comparative-case, or fsQCA designs. Table 1 identifies the mechanism, possible operational indicators, data sources, and the condition under which each proposition would be weakened or rejected.

The configurational implication is that high adaptation can emerge through multiple pathways. An open-capacity pathway may combine high information transparency, strong local organization, independent monitoring, and moderate veto constraints. A centralized-technological pathway may combine high decision centralization, robust monitoring technology, executive capacity, and external verification, but it becomes fragile when information is politically filtered. A rights-accountability pathway may combine legal objectives, public participation, judicial review, and sufficient administrative capacity. A developmental-substitution pathway may combine technology transfer, donor or multilevel finance, local stakeholder organization, and targeted capacity building where state capacity is weaker. These are not empirical findings; they are proposed configurations for future fsQCA or comparative case testing.

Illustrative cases help clarify the scope. China is relevant not because it represents all autocracies, but because its carbon-reduction and environmental-governance experience shows how technological monitoring, administrative command, and organizational capacity can produce rapid outputs while also raising questions about information filtering, local incentives, and outcome verification; recent TOE-fsQCA research on China’s rural production and household sectors is directly useful for specifying such configurations [48]. European countries illustrate a different configuration: relatively open information channels, legal participation rights, and climate litigation can strengthen error correction, but multi-level vetoes and implementation gaps may slow adaptation. Southeast Asian urban adaptation, including flood-risk work in Ho Chi Minh City, shows that local adaptation technologies and spatial risk assessment are meaningful only when administrative coordination, financing, and stakeholder uptake are in place [93]. Mexico City and Bahir Dar further show that non-Western and developing-country cases require attention to collaboration networks, financial scarcity, data management, human resources, and policy enforcement rather than simple regime labels [91,92].